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| 1 | ''' |
|
1 | ''' | |
| 2 |
|
2 | |||
| 3 | $Author: murco $ |
|
3 | $Author: murco $ | |
| 4 | $Id: JROData.py 173 2012-11-20 15:06:21Z murco $ |
|
4 | $Id: JROData.py 173 2012-11-20 15:06:21Z murco $ | |
| 5 | ''' |
|
5 | ''' | |
| 6 |
|
6 | |||
| 7 | import copy |
|
7 | import copy | |
| 8 | import numpy |
|
8 | import numpy | |
| 9 | import datetime |
|
9 | import datetime | |
| 10 |
|
10 | |||
| 11 | from jroheaderIO import SystemHeader, RadarControllerHeader |
|
11 | from jroheaderIO import SystemHeader, RadarControllerHeader | |
| 12 | from schainpy import cSchain |
|
12 | from schainpy import cSchain | |
| 13 |
|
13 | |||
| 14 |
|
14 | |||
| 15 | def getNumpyDtype(dataTypeCode): |
|
15 | def getNumpyDtype(dataTypeCode): | |
| 16 |
|
16 | |||
| 17 | if dataTypeCode == 0: |
|
17 | if dataTypeCode == 0: | |
| 18 | numpyDtype = numpy.dtype([('real','<i1'),('imag','<i1')]) |
|
18 | numpyDtype = numpy.dtype([('real','<i1'),('imag','<i1')]) | |
| 19 | elif dataTypeCode == 1: |
|
19 | elif dataTypeCode == 1: | |
| 20 | numpyDtype = numpy.dtype([('real','<i2'),('imag','<i2')]) |
|
20 | numpyDtype = numpy.dtype([('real','<i2'),('imag','<i2')]) | |
| 21 | elif dataTypeCode == 2: |
|
21 | elif dataTypeCode == 2: | |
| 22 | numpyDtype = numpy.dtype([('real','<i4'),('imag','<i4')]) |
|
22 | numpyDtype = numpy.dtype([('real','<i4'),('imag','<i4')]) | |
| 23 | elif dataTypeCode == 3: |
|
23 | elif dataTypeCode == 3: | |
| 24 | numpyDtype = numpy.dtype([('real','<i8'),('imag','<i8')]) |
|
24 | numpyDtype = numpy.dtype([('real','<i8'),('imag','<i8')]) | |
| 25 | elif dataTypeCode == 4: |
|
25 | elif dataTypeCode == 4: | |
| 26 | numpyDtype = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
26 | numpyDtype = numpy.dtype([('real','<f4'),('imag','<f4')]) | |
| 27 | elif dataTypeCode == 5: |
|
27 | elif dataTypeCode == 5: | |
| 28 | numpyDtype = numpy.dtype([('real','<f8'),('imag','<f8')]) |
|
28 | numpyDtype = numpy.dtype([('real','<f8'),('imag','<f8')]) | |
| 29 | else: |
|
29 | else: | |
| 30 | raise ValueError, 'dataTypeCode was not defined' |
|
30 | raise ValueError, 'dataTypeCode was not defined' | |
| 31 |
|
31 | |||
| 32 | return numpyDtype |
|
32 | return numpyDtype | |
| 33 |
|
33 | |||
| 34 | def getDataTypeCode(numpyDtype): |
|
34 | def getDataTypeCode(numpyDtype): | |
| 35 |
|
35 | |||
| 36 | if numpyDtype == numpy.dtype([('real','<i1'),('imag','<i1')]): |
|
36 | if numpyDtype == numpy.dtype([('real','<i1'),('imag','<i1')]): | |
| 37 | datatype = 0 |
|
37 | datatype = 0 | |
| 38 | elif numpyDtype == numpy.dtype([('real','<i2'),('imag','<i2')]): |
|
38 | elif numpyDtype == numpy.dtype([('real','<i2'),('imag','<i2')]): | |
| 39 | datatype = 1 |
|
39 | datatype = 1 | |
| 40 | elif numpyDtype == numpy.dtype([('real','<i4'),('imag','<i4')]): |
|
40 | elif numpyDtype == numpy.dtype([('real','<i4'),('imag','<i4')]): | |
| 41 | datatype = 2 |
|
41 | datatype = 2 | |
| 42 | elif numpyDtype == numpy.dtype([('real','<i8'),('imag','<i8')]): |
|
42 | elif numpyDtype == numpy.dtype([('real','<i8'),('imag','<i8')]): | |
| 43 | datatype = 3 |
|
43 | datatype = 3 | |
| 44 | elif numpyDtype == numpy.dtype([('real','<f4'),('imag','<f4')]): |
|
44 | elif numpyDtype == numpy.dtype([('real','<f4'),('imag','<f4')]): | |
| 45 | datatype = 4 |
|
45 | datatype = 4 | |
| 46 | elif numpyDtype == numpy.dtype([('real','<f8'),('imag','<f8')]): |
|
46 | elif numpyDtype == numpy.dtype([('real','<f8'),('imag','<f8')]): | |
| 47 | datatype = 5 |
|
47 | datatype = 5 | |
| 48 | else: |
|
48 | else: | |
| 49 | datatype = None |
|
49 | datatype = None | |
| 50 |
|
50 | |||
| 51 | return datatype |
|
51 | return datatype | |
| 52 |
|
52 | |||
| 53 | def hildebrand_sekhon(data, navg): |
|
53 | def hildebrand_sekhon(data, navg): | |
| 54 | """ |
|
54 | """ | |
| 55 | This method is for the objective determination of the noise level in Doppler spectra. This |
|
55 | This method is for the objective determination of the noise level in Doppler spectra. This | |
| 56 | implementation technique is based on the fact that the standard deviation of the spectral |
|
56 | implementation technique is based on the fact that the standard deviation of the spectral | |
| 57 | densities is equal to the mean spectral density for white Gaussian noise |
|
57 | densities is equal to the mean spectral density for white Gaussian noise | |
| 58 |
|
58 | |||
| 59 | Inputs: |
|
59 | Inputs: | |
| 60 | Data : heights |
|
60 | Data : heights | |
| 61 | navg : numbers of averages |
|
61 | navg : numbers of averages | |
| 62 |
|
62 | |||
| 63 | Return: |
|
63 | Return: | |
| 64 | -1 : any error |
|
64 | -1 : any error | |
| 65 | anoise : noise's level |
|
65 | anoise : noise's level | |
| 66 | """ |
|
66 | """ | |
| 67 |
|
67 | |||
| 68 | sortdata = numpy.sort(data, axis=None) |
|
68 | sortdata = numpy.sort(data, axis=None) | |
| 69 | # lenOfData = len(sortdata) |
|
69 | # lenOfData = len(sortdata) | |
| 70 | # nums_min = lenOfData*0.2 |
|
70 | # nums_min = lenOfData*0.2 | |
| 71 | # |
|
71 | # | |
| 72 | # if nums_min <= 5: |
|
72 | # if nums_min <= 5: | |
| 73 | # nums_min = 5 |
|
73 | # nums_min = 5 | |
| 74 | # |
|
74 | # | |
| 75 | # sump = 0. |
|
75 | # sump = 0. | |
| 76 | # |
|
76 | # | |
| 77 | # sumq = 0. |
|
77 | # sumq = 0. | |
| 78 | # |
|
78 | # | |
| 79 | # j = 0 |
|
79 | # j = 0 | |
| 80 | # |
|
80 | # | |
| 81 | # cont = 1 |
|
81 | # cont = 1 | |
| 82 | # |
|
82 | # | |
| 83 | # while((cont==1)and(j<lenOfData)): |
|
83 | # while((cont==1)and(j<lenOfData)): | |
| 84 | # |
|
84 | # | |
| 85 | # sump += sortdata[j] |
|
85 | # sump += sortdata[j] | |
| 86 | # |
|
86 | # | |
| 87 | # sumq += sortdata[j]**2 |
|
87 | # sumq += sortdata[j]**2 | |
| 88 | # |
|
88 | # | |
| 89 | # if j > nums_min: |
|
89 | # if j > nums_min: | |
| 90 | # rtest = float(j)/(j-1) + 1.0/navg |
|
90 | # rtest = float(j)/(j-1) + 1.0/navg | |
| 91 | # if ((sumq*j) > (rtest*sump**2)): |
|
91 | # if ((sumq*j) > (rtest*sump**2)): | |
| 92 | # j = j - 1 |
|
92 | # j = j - 1 | |
| 93 | # sump = sump - sortdata[j] |
|
93 | # sump = sump - sortdata[j] | |
| 94 | # sumq = sumq - sortdata[j]**2 |
|
94 | # sumq = sumq - sortdata[j]**2 | |
| 95 | # cont = 0 |
|
95 | # cont = 0 | |
| 96 | # |
|
96 | # | |
| 97 | # j += 1 |
|
97 | # j += 1 | |
| 98 | # |
|
98 | # | |
| 99 | # lnoise = sump /j |
|
99 | # lnoise = sump /j | |
| 100 | # |
|
100 | # | |
| 101 | # return lnoise |
|
101 | # return lnoise | |
| 102 |
|
102 | |||
| 103 | return cSchain.hildebrand_sekhon(sortdata, navg) |
|
103 | return cSchain.hildebrand_sekhon(sortdata, navg) | |
| 104 |
|
104 | |||
| 105 |
|
105 | |||
| 106 | class Beam: |
|
106 | class Beam: | |
| 107 |
|
107 | |||
| 108 | def __init__(self): |
|
108 | def __init__(self): | |
| 109 | self.codeList = [] |
|
109 | self.codeList = [] | |
| 110 | self.azimuthList = [] |
|
110 | self.azimuthList = [] | |
| 111 | self.zenithList = [] |
|
111 | self.zenithList = [] | |
| 112 |
|
112 | |||
| 113 | class GenericData(object): |
|
113 | class GenericData(object): | |
| 114 |
|
114 | |||
| 115 | flagNoData = True |
|
115 | flagNoData = True | |
| 116 |
|
116 | |||
| 117 | def copy(self, inputObj=None): |
|
117 | def copy(self, inputObj=None): | |
| 118 |
|
118 | |||
| 119 | if inputObj == None: |
|
119 | if inputObj == None: | |
| 120 | return copy.deepcopy(self) |
|
120 | return copy.deepcopy(self) | |
| 121 |
|
121 | |||
| 122 | for key in inputObj.__dict__.keys(): |
|
122 | for key in inputObj.__dict__.keys(): | |
| 123 |
|
123 | |||
| 124 | attribute = inputObj.__dict__[key] |
|
124 | attribute = inputObj.__dict__[key] | |
| 125 |
|
125 | |||
| 126 | #If this attribute is a tuple or list |
|
126 | #If this attribute is a tuple or list | |
| 127 | if type(inputObj.__dict__[key]) in (tuple, list): |
|
127 | if type(inputObj.__dict__[key]) in (tuple, list): | |
| 128 | self.__dict__[key] = attribute[:] |
|
128 | self.__dict__[key] = attribute[:] | |
| 129 | continue |
|
129 | continue | |
| 130 |
|
130 | |||
| 131 | #If this attribute is another object or instance |
|
131 | #If this attribute is another object or instance | |
| 132 | if hasattr(attribute, '__dict__'): |
|
132 | if hasattr(attribute, '__dict__'): | |
| 133 | self.__dict__[key] = attribute.copy() |
|
133 | self.__dict__[key] = attribute.copy() | |
| 134 | continue |
|
134 | continue | |
| 135 |
|
135 | |||
| 136 | self.__dict__[key] = inputObj.__dict__[key] |
|
136 | self.__dict__[key] = inputObj.__dict__[key] | |
| 137 |
|
137 | |||
| 138 | def deepcopy(self): |
|
138 | def deepcopy(self): | |
| 139 |
|
139 | |||
| 140 | return copy.deepcopy(self) |
|
140 | return copy.deepcopy(self) | |
| 141 |
|
141 | |||
| 142 | def isEmpty(self): |
|
142 | def isEmpty(self): | |
| 143 |
|
143 | |||
| 144 | return self.flagNoData |
|
144 | return self.flagNoData | |
| 145 |
|
145 | |||
| 146 | class JROData(GenericData): |
|
146 | class JROData(GenericData): | |
| 147 |
|
147 | |||
| 148 | # m_BasicHeader = BasicHeader() |
|
148 | # m_BasicHeader = BasicHeader() | |
| 149 | # m_ProcessingHeader = ProcessingHeader() |
|
149 | # m_ProcessingHeader = ProcessingHeader() | |
| 150 |
|
150 | |||
| 151 | systemHeaderObj = SystemHeader() |
|
151 | systemHeaderObj = SystemHeader() | |
| 152 |
|
152 | |||
| 153 | radarControllerHeaderObj = RadarControllerHeader() |
|
153 | radarControllerHeaderObj = RadarControllerHeader() | |
| 154 |
|
154 | |||
| 155 | # data = None |
|
155 | # data = None | |
| 156 |
|
156 | |||
| 157 | type = None |
|
157 | type = None | |
| 158 |
|
158 | |||
| 159 | datatype = None #dtype but in string |
|
159 | datatype = None #dtype but in string | |
| 160 |
|
160 | |||
| 161 | # dtype = None |
|
161 | # dtype = None | |
| 162 |
|
162 | |||
| 163 | # nChannels = None |
|
163 | # nChannels = None | |
| 164 |
|
164 | |||
| 165 | # nHeights = None |
|
165 | # nHeights = None | |
| 166 |
|
166 | |||
| 167 | nProfiles = None |
|
167 | nProfiles = None | |
| 168 |
|
168 | |||
| 169 | heightList = None |
|
169 | heightList = None | |
| 170 |
|
170 | |||
| 171 | channelList = None |
|
171 | channelList = None | |
| 172 |
|
172 | |||
| 173 | flagDiscontinuousBlock = False |
|
173 | flagDiscontinuousBlock = False | |
| 174 |
|
174 | |||
| 175 | useLocalTime = False |
|
175 | useLocalTime = False | |
| 176 |
|
176 | |||
| 177 | utctime = None |
|
177 | utctime = None | |
| 178 |
|
178 | |||
| 179 | timeZone = None |
|
179 | timeZone = None | |
| 180 |
|
180 | |||
| 181 | dstFlag = None |
|
181 | dstFlag = None | |
| 182 |
|
182 | |||
| 183 | errorCount = None |
|
183 | errorCount = None | |
| 184 |
|
184 | |||
| 185 | blocksize = None |
|
185 | blocksize = None | |
| 186 |
|
186 | |||
| 187 | # nCode = None |
|
187 | # nCode = None | |
| 188 | # |
|
188 | # | |
| 189 | # nBaud = None |
|
189 | # nBaud = None | |
| 190 | # |
|
190 | # | |
| 191 | # code = None |
|
191 | # code = None | |
| 192 |
|
192 | |||
| 193 | flagDecodeData = False #asumo q la data no esta decodificada |
|
193 | flagDecodeData = False #asumo q la data no esta decodificada | |
| 194 |
|
194 | |||
| 195 | flagDeflipData = False #asumo q la data no esta sin flip |
|
195 | flagDeflipData = False #asumo q la data no esta sin flip | |
| 196 |
|
196 | |||
| 197 | flagShiftFFT = False |
|
197 | flagShiftFFT = False | |
| 198 |
|
198 | |||
| 199 | # ippSeconds = None |
|
199 | # ippSeconds = None | |
| 200 |
|
200 | |||
| 201 | # timeInterval = None |
|
201 | # timeInterval = None | |
| 202 |
|
202 | |||
| 203 | nCohInt = None |
|
203 | nCohInt = None | |
| 204 |
|
204 | |||
| 205 | # noise = None |
|
205 | # noise = None | |
| 206 |
|
206 | |||
| 207 | windowOfFilter = 1 |
|
207 | windowOfFilter = 1 | |
| 208 |
|
208 | |||
| 209 | #Speed of ligth |
|
209 | #Speed of ligth | |
| 210 | C = 3e8 |
|
210 | C = 3e8 | |
| 211 |
|
211 | |||
| 212 | frequency = 49.92e6 |
|
212 | frequency = 49.92e6 | |
| 213 |
|
213 | |||
| 214 | realtime = False |
|
214 | realtime = False | |
| 215 |
|
215 | |||
| 216 | beacon_heiIndexList = None |
|
216 | beacon_heiIndexList = None | |
| 217 |
|
217 | |||
| 218 | last_block = None |
|
218 | last_block = None | |
| 219 |
|
219 | |||
| 220 | blocknow = None |
|
220 | blocknow = None | |
| 221 |
|
221 | |||
| 222 | azimuth = None |
|
222 | azimuth = None | |
| 223 |
|
223 | |||
| 224 | zenith = None |
|
224 | zenith = None | |
| 225 |
|
225 | |||
| 226 | beam = Beam() |
|
226 | beam = Beam() | |
| 227 |
|
227 | |||
| 228 | profileIndex = None |
|
228 | profileIndex = None | |
| 229 |
|
229 | |||
| 230 | def getNoise(self): |
|
230 | def getNoise(self): | |
| 231 |
|
231 | |||
| 232 | raise NotImplementedError |
|
232 | raise NotImplementedError | |
| 233 |
|
233 | |||
| 234 | def getNChannels(self): |
|
234 | def getNChannels(self): | |
| 235 |
|
235 | |||
| 236 | return len(self.channelList) |
|
236 | return len(self.channelList) | |
| 237 |
|
237 | |||
| 238 | def getChannelIndexList(self): |
|
238 | def getChannelIndexList(self): | |
| 239 |
|
239 | |||
| 240 | return range(self.nChannels) |
|
240 | return range(self.nChannels) | |
| 241 |
|
241 | |||
| 242 | def getNHeights(self): |
|
242 | def getNHeights(self): | |
| 243 |
|
243 | |||
| 244 | return len(self.heightList) |
|
244 | return len(self.heightList) | |
| 245 |
|
245 | |||
| 246 | def getHeiRange(self, extrapoints=0): |
|
246 | def getHeiRange(self, extrapoints=0): | |
| 247 |
|
247 | |||
| 248 | heis = self.heightList |
|
248 | heis = self.heightList | |
| 249 | # deltah = self.heightList[1] - self.heightList[0] |
|
249 | # deltah = self.heightList[1] - self.heightList[0] | |
| 250 | # |
|
250 | # | |
| 251 | # heis.append(self.heightList[-1]) |
|
251 | # heis.append(self.heightList[-1]) | |
| 252 |
|
252 | |||
| 253 | return heis |
|
253 | return heis | |
| 254 |
|
254 | |||
| 255 | def getDeltaH(self): |
|
255 | def getDeltaH(self): | |
| 256 |
|
256 | |||
| 257 | delta = self.heightList[1] - self.heightList[0] |
|
257 | delta = self.heightList[1] - self.heightList[0] | |
| 258 |
|
258 | |||
| 259 | return delta |
|
259 | return delta | |
| 260 |
|
260 | |||
| 261 | def getltctime(self): |
|
261 | def getltctime(self): | |
| 262 |
|
262 | |||
| 263 | if self.useLocalTime: |
|
263 | if self.useLocalTime: | |
| 264 | return self.utctime - self.timeZone*60 |
|
264 | return self.utctime - self.timeZone*60 | |
| 265 |
|
265 | |||
| 266 | return self.utctime |
|
266 | return self.utctime | |
| 267 |
|
267 | |||
| 268 | def getDatatime(self): |
|
268 | def getDatatime(self): | |
| 269 |
|
269 | |||
| 270 | datatimeValue = datetime.datetime.utcfromtimestamp(self.ltctime) |
|
270 | datatimeValue = datetime.datetime.utcfromtimestamp(self.ltctime) | |
| 271 | return datatimeValue |
|
271 | return datatimeValue | |
| 272 |
|
272 | |||
| 273 | def getTimeRange(self): |
|
273 | def getTimeRange(self): | |
| 274 |
|
274 | |||
| 275 | datatime = [] |
|
275 | datatime = [] | |
| 276 |
|
276 | |||
| 277 | datatime.append(self.ltctime) |
|
277 | datatime.append(self.ltctime) | |
| 278 | datatime.append(self.ltctime + self.timeInterval+1) |
|
278 | datatime.append(self.ltctime + self.timeInterval+1) | |
| 279 |
|
279 | |||
| 280 | datatime = numpy.array(datatime) |
|
280 | datatime = numpy.array(datatime) | |
| 281 |
|
281 | |||
| 282 | return datatime |
|
282 | return datatime | |
| 283 |
|
283 | |||
| 284 | def getFmaxTimeResponse(self): |
|
284 | def getFmaxTimeResponse(self): | |
| 285 |
|
285 | |||
| 286 | period = (10**-6)*self.getDeltaH()/(0.15) |
|
286 | period = (10**-6)*self.getDeltaH()/(0.15) | |
| 287 |
|
287 | |||
| 288 | PRF = 1./(period * self.nCohInt) |
|
288 | PRF = 1./(period * self.nCohInt) | |
| 289 |
|
289 | |||
| 290 | fmax = PRF |
|
290 | fmax = PRF | |
| 291 |
|
291 | |||
| 292 | return fmax |
|
292 | return fmax | |
| 293 |
|
293 | |||
| 294 | def getFmax(self): |
|
294 | def getFmax(self): | |
| 295 |
|
295 | |||
| 296 | PRF = 1./(self.ippSeconds * self.nCohInt) |
|
296 | PRF = 1./(self.ippSeconds * self.nCohInt) | |
| 297 |
|
297 | |||
| 298 | fmax = PRF |
|
298 | fmax = PRF | |
| 299 |
|
299 | |||
| 300 | return fmax |
|
300 | return fmax | |
| 301 |
|
301 | |||
| 302 | def getVmax(self): |
|
302 | def getVmax(self): | |
| 303 |
|
303 | |||
| 304 | _lambda = self.C/self.frequency |
|
304 | _lambda = self.C/self.frequency | |
| 305 |
|
305 | |||
| 306 | vmax = self.getFmax() * _lambda/2 |
|
306 | vmax = self.getFmax() * _lambda/2 | |
| 307 |
|
307 | |||
| 308 | return vmax |
|
308 | return vmax | |
| 309 |
|
309 | |||
| 310 | def get_ippSeconds(self): |
|
310 | def get_ippSeconds(self): | |
| 311 | ''' |
|
311 | ''' | |
| 312 | ''' |
|
312 | ''' | |
| 313 | return self.radarControllerHeaderObj.ippSeconds |
|
313 | return self.radarControllerHeaderObj.ippSeconds | |
| 314 |
|
314 | |||
| 315 | def set_ippSeconds(self, ippSeconds): |
|
315 | def set_ippSeconds(self, ippSeconds): | |
| 316 | ''' |
|
316 | ''' | |
| 317 | ''' |
|
317 | ''' | |
| 318 |
|
318 | |||
| 319 | self.radarControllerHeaderObj.ippSeconds = ippSeconds |
|
319 | self.radarControllerHeaderObj.ippSeconds = ippSeconds | |
| 320 |
|
320 | |||
| 321 | return |
|
321 | return | |
| 322 |
|
322 | |||
| 323 | def get_dtype(self): |
|
323 | def get_dtype(self): | |
| 324 | ''' |
|
324 | ''' | |
| 325 | ''' |
|
325 | ''' | |
| 326 | return getNumpyDtype(self.datatype) |
|
326 | return getNumpyDtype(self.datatype) | |
| 327 |
|
327 | |||
| 328 | def set_dtype(self, numpyDtype): |
|
328 | def set_dtype(self, numpyDtype): | |
| 329 | ''' |
|
329 | ''' | |
| 330 | ''' |
|
330 | ''' | |
| 331 |
|
331 | |||
| 332 | self.datatype = getDataTypeCode(numpyDtype) |
|
332 | self.datatype = getDataTypeCode(numpyDtype) | |
| 333 |
|
333 | |||
| 334 | def get_code(self): |
|
334 | def get_code(self): | |
| 335 | ''' |
|
335 | ''' | |
| 336 | ''' |
|
336 | ''' | |
| 337 | return self.radarControllerHeaderObj.code |
|
337 | return self.radarControllerHeaderObj.code | |
| 338 |
|
338 | |||
| 339 | def set_code(self, code): |
|
339 | def set_code(self, code): | |
| 340 | ''' |
|
340 | ''' | |
| 341 | ''' |
|
341 | ''' | |
| 342 | self.radarControllerHeaderObj.code = code |
|
342 | self.radarControllerHeaderObj.code = code | |
| 343 |
|
343 | |||
| 344 | return |
|
344 | return | |
| 345 |
|
345 | |||
| 346 | def get_ncode(self): |
|
346 | def get_ncode(self): | |
| 347 | ''' |
|
347 | ''' | |
| 348 | ''' |
|
348 | ''' | |
| 349 | return self.radarControllerHeaderObj.nCode |
|
349 | return self.radarControllerHeaderObj.nCode | |
| 350 |
|
350 | |||
| 351 | def set_ncode(self, nCode): |
|
351 | def set_ncode(self, nCode): | |
| 352 | ''' |
|
352 | ''' | |
| 353 | ''' |
|
353 | ''' | |
| 354 | self.radarControllerHeaderObj.nCode = nCode |
|
354 | self.radarControllerHeaderObj.nCode = nCode | |
| 355 |
|
355 | |||
| 356 | return |
|
356 | return | |
| 357 |
|
357 | |||
| 358 | def get_nbaud(self): |
|
358 | def get_nbaud(self): | |
| 359 | ''' |
|
359 | ''' | |
| 360 | ''' |
|
360 | ''' | |
| 361 | return self.radarControllerHeaderObj.nBaud |
|
361 | return self.radarControllerHeaderObj.nBaud | |
| 362 |
|
362 | |||
| 363 | def set_nbaud(self, nBaud): |
|
363 | def set_nbaud(self, nBaud): | |
| 364 | ''' |
|
364 | ''' | |
| 365 | ''' |
|
365 | ''' | |
| 366 | self.radarControllerHeaderObj.nBaud = nBaud |
|
366 | self.radarControllerHeaderObj.nBaud = nBaud | |
| 367 |
|
367 | |||
| 368 | return |
|
368 | return | |
| 369 |
|
369 | |||
| 370 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
|
370 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") | |
| 371 | channelIndexList = property(getChannelIndexList, "I'm the 'channelIndexList' property.") |
|
371 | channelIndexList = property(getChannelIndexList, "I'm the 'channelIndexList' property.") | |
| 372 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") |
|
372 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") | |
| 373 | #noise = property(getNoise, "I'm the 'nHeights' property.") |
|
373 | #noise = property(getNoise, "I'm the 'nHeights' property.") | |
| 374 | datatime = property(getDatatime, "I'm the 'datatime' property") |
|
374 | datatime = property(getDatatime, "I'm the 'datatime' property") | |
| 375 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
|
375 | ltctime = property(getltctime, "I'm the 'ltctime' property") | |
| 376 | ippSeconds = property(get_ippSeconds, set_ippSeconds) |
|
376 | ippSeconds = property(get_ippSeconds, set_ippSeconds) | |
| 377 | dtype = property(get_dtype, set_dtype) |
|
377 | dtype = property(get_dtype, set_dtype) | |
| 378 | # timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
378 | # timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") | |
| 379 | code = property(get_code, set_code) |
|
379 | code = property(get_code, set_code) | |
| 380 | nCode = property(get_ncode, set_ncode) |
|
380 | nCode = property(get_ncode, set_ncode) | |
| 381 | nBaud = property(get_nbaud, set_nbaud) |
|
381 | nBaud = property(get_nbaud, set_nbaud) | |
| 382 |
|
382 | |||
| 383 | class Voltage(JROData): |
|
383 | class Voltage(JROData): | |
| 384 |
|
384 | |||
| 385 | #data es un numpy array de 2 dmensiones (canales, alturas) |
|
385 | #data es un numpy array de 2 dmensiones (canales, alturas) | |
| 386 | data = None |
|
386 | data = None | |
| 387 |
|
387 | |||
| 388 | def __init__(self): |
|
388 | def __init__(self): | |
| 389 | ''' |
|
389 | ''' | |
| 390 | Constructor |
|
390 | Constructor | |
| 391 | ''' |
|
391 | ''' | |
| 392 |
|
392 | |||
| 393 | self.useLocalTime = True |
|
393 | self.useLocalTime = True | |
| 394 |
|
394 | |||
| 395 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
395 | self.radarControllerHeaderObj = RadarControllerHeader() | |
| 396 |
|
396 | |||
| 397 | self.systemHeaderObj = SystemHeader() |
|
397 | self.systemHeaderObj = SystemHeader() | |
| 398 |
|
398 | |||
| 399 | self.type = "Voltage" |
|
399 | self.type = "Voltage" | |
| 400 |
|
400 | |||
| 401 | self.data = None |
|
401 | self.data = None | |
| 402 |
|
402 | |||
| 403 | # self.dtype = None |
|
403 | # self.dtype = None | |
| 404 |
|
404 | |||
| 405 | # self.nChannels = 0 |
|
405 | # self.nChannels = 0 | |
| 406 |
|
406 | |||
| 407 | # self.nHeights = 0 |
|
407 | # self.nHeights = 0 | |
| 408 |
|
408 | |||
| 409 | self.nProfiles = None |
|
409 | self.nProfiles = None | |
| 410 |
|
410 | |||
| 411 | self.heightList = None |
|
411 | self.heightList = None | |
| 412 |
|
412 | |||
| 413 | self.channelList = None |
|
413 | self.channelList = None | |
| 414 |
|
414 | |||
| 415 | # self.channelIndexList = None |
|
415 | # self.channelIndexList = None | |
| 416 |
|
416 | |||
| 417 | self.flagNoData = True |
|
417 | self.flagNoData = True | |
| 418 |
|
418 | |||
| 419 | self.flagDiscontinuousBlock = False |
|
419 | self.flagDiscontinuousBlock = False | |
| 420 |
|
420 | |||
| 421 | self.utctime = None |
|
421 | self.utctime = None | |
| 422 |
|
422 | |||
| 423 | self.timeZone = None |
|
423 | self.timeZone = None | |
| 424 |
|
424 | |||
| 425 | self.dstFlag = None |
|
425 | self.dstFlag = None | |
| 426 |
|
426 | |||
| 427 | self.errorCount = None |
|
427 | self.errorCount = None | |
| 428 |
|
428 | |||
| 429 | self.nCohInt = None |
|
429 | self.nCohInt = None | |
| 430 |
|
430 | |||
| 431 | self.blocksize = None |
|
431 | self.blocksize = None | |
| 432 |
|
432 | |||
| 433 | self.flagDecodeData = False #asumo q la data no esta decodificada |
|
433 | self.flagDecodeData = False #asumo q la data no esta decodificada | |
| 434 |
|
434 | |||
| 435 | self.flagDeflipData = False #asumo q la data no esta sin flip |
|
435 | self.flagDeflipData = False #asumo q la data no esta sin flip | |
| 436 |
|
436 | |||
| 437 | self.flagShiftFFT = False |
|
437 | self.flagShiftFFT = False | |
| 438 |
|
438 | |||
| 439 | self.flagDataAsBlock = False #Asumo que la data es leida perfil a perfil |
|
439 | self.flagDataAsBlock = False #Asumo que la data es leida perfil a perfil | |
| 440 |
|
440 | |||
| 441 | self.profileIndex = 0 |
|
441 | self.profileIndex = 0 | |
| 442 |
|
442 | |||
| 443 | def getNoisebyHildebrand(self, channel = None): |
|
443 | def getNoisebyHildebrand(self, channel = None): | |
| 444 | """ |
|
444 | """ | |
| 445 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
|
445 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon | |
| 446 |
|
446 | |||
| 447 | Return: |
|
447 | Return: | |
| 448 | noiselevel |
|
448 | noiselevel | |
| 449 | """ |
|
449 | """ | |
| 450 |
|
450 | |||
| 451 | if channel != None: |
|
451 | if channel != None: | |
| 452 | data = self.data[channel] |
|
452 | data = self.data[channel] | |
| 453 | nChannels = 1 |
|
453 | nChannels = 1 | |
| 454 | else: |
|
454 | else: | |
| 455 | data = self.data |
|
455 | data = self.data | |
| 456 | nChannels = self.nChannels |
|
456 | nChannels = self.nChannels | |
| 457 |
|
457 | |||
| 458 | noise = numpy.zeros(nChannels) |
|
458 | noise = numpy.zeros(nChannels) | |
| 459 | power = data * numpy.conjugate(data) |
|
459 | power = data * numpy.conjugate(data) | |
| 460 |
|
460 | |||
| 461 | for thisChannel in range(nChannels): |
|
461 | for thisChannel in range(nChannels): | |
| 462 | if nChannels == 1: |
|
462 | if nChannels == 1: | |
| 463 | daux = power[:].real |
|
463 | daux = power[:].real | |
| 464 | else: |
|
464 | else: | |
| 465 | daux = power[thisChannel,:].real |
|
465 | daux = power[thisChannel,:].real | |
| 466 | noise[thisChannel] = hildebrand_sekhon(daux, self.nCohInt) |
|
466 | noise[thisChannel] = hildebrand_sekhon(daux, self.nCohInt) | |
| 467 |
|
467 | |||
| 468 | return noise |
|
468 | return noise | |
| 469 |
|
469 | |||
| 470 | def getNoise(self, type = 1, channel = None): |
|
470 | def getNoise(self, type = 1, channel = None): | |
| 471 |
|
471 | |||
| 472 | if type == 1: |
|
472 | if type == 1: | |
| 473 | noise = self.getNoisebyHildebrand(channel) |
|
473 | noise = self.getNoisebyHildebrand(channel) | |
| 474 |
|
474 | |||
| 475 | return noise |
|
475 | return noise | |
| 476 |
|
476 | |||
| 477 | def getPower(self, channel = None): |
|
477 | def getPower(self, channel = None): | |
| 478 |
|
478 | |||
| 479 | if channel != None: |
|
479 | if channel != None: | |
| 480 | data = self.data[channel] |
|
480 | data = self.data[channel] | |
| 481 | else: |
|
481 | else: | |
| 482 | data = self.data |
|
482 | data = self.data | |
| 483 |
|
483 | |||
| 484 | power = data * numpy.conjugate(data) |
|
484 | power = data * numpy.conjugate(data) | |
| 485 | powerdB = 10*numpy.log10(power.real) |
|
485 | powerdB = 10*numpy.log10(power.real) | |
| 486 | powerdB = numpy.squeeze(powerdB) |
|
486 | powerdB = numpy.squeeze(powerdB) | |
| 487 |
|
487 | |||
| 488 | return powerdB |
|
488 | return powerdB | |
| 489 |
|
489 | |||
| 490 | def getTimeInterval(self): |
|
490 | def getTimeInterval(self): | |
| 491 |
|
491 | |||
| 492 | timeInterval = self.ippSeconds * self.nCohInt |
|
492 | timeInterval = self.ippSeconds * self.nCohInt | |
| 493 |
|
493 | |||
| 494 | return timeInterval |
|
494 | return timeInterval | |
| 495 |
|
495 | |||
| 496 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
496 | noise = property(getNoise, "I'm the 'nHeights' property.") | |
| 497 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
497 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") | |
| 498 |
|
498 | |||
| 499 | class Spectra(JROData): |
|
499 | class Spectra(JROData): | |
| 500 |
|
500 | |||
| 501 | #data spc es un numpy array de 2 dmensiones (canales, perfiles, alturas) |
|
501 | #data spc es un numpy array de 2 dmensiones (canales, perfiles, alturas) | |
| 502 | data_spc = None |
|
502 | data_spc = None | |
| 503 |
|
503 | |||
| 504 | #data cspc es un numpy array de 2 dmensiones (canales, pares, alturas) |
|
504 | #data cspc es un numpy array de 2 dmensiones (canales, pares, alturas) | |
| 505 | data_cspc = None |
|
505 | data_cspc = None | |
| 506 |
|
506 | |||
| 507 | #data dc es un numpy array de 2 dmensiones (canales, alturas) |
|
507 | #data dc es un numpy array de 2 dmensiones (canales, alturas) | |
| 508 | data_dc = None |
|
508 | data_dc = None | |
| 509 |
|
509 | |||
| 510 | #data power |
|
510 | #data power | |
| 511 | data_pwr = None |
|
511 | data_pwr = None | |
| 512 |
|
512 | |||
| 513 | nFFTPoints = None |
|
513 | nFFTPoints = None | |
| 514 |
|
514 | |||
| 515 | # nPairs = None |
|
515 | # nPairs = None | |
| 516 |
|
516 | |||
| 517 | pairsList = None |
|
517 | pairsList = None | |
| 518 |
|
518 | |||
| 519 | nIncohInt = None |
|
519 | nIncohInt = None | |
| 520 |
|
520 | |||
| 521 | wavelength = None #Necesario para cacular el rango de velocidad desde la frecuencia |
|
521 | wavelength = None #Necesario para cacular el rango de velocidad desde la frecuencia | |
| 522 |
|
522 | |||
| 523 | nCohInt = None #se requiere para determinar el valor de timeInterval |
|
523 | nCohInt = None #se requiere para determinar el valor de timeInterval | |
| 524 |
|
524 | |||
| 525 | ippFactor = None |
|
525 | ippFactor = None | |
| 526 |
|
526 | |||
| 527 | profileIndex = 0 |
|
527 | profileIndex = 0 | |
| 528 |
|
528 | |||
| 529 | plotting = "spectra" |
|
529 | plotting = "spectra" | |
| 530 |
|
530 | |||
| 531 | def __init__(self): |
|
531 | def __init__(self): | |
| 532 | ''' |
|
532 | ''' | |
| 533 | Constructor |
|
533 | Constructor | |
| 534 | ''' |
|
534 | ''' | |
| 535 |
|
535 | |||
| 536 | self.useLocalTime = True |
|
536 | self.useLocalTime = True | |
| 537 |
|
537 | |||
| 538 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
538 | self.radarControllerHeaderObj = RadarControllerHeader() | |
| 539 |
|
539 | |||
| 540 | self.systemHeaderObj = SystemHeader() |
|
540 | self.systemHeaderObj = SystemHeader() | |
| 541 |
|
541 | |||
| 542 | self.type = "Spectra" |
|
542 | self.type = "Spectra" | |
| 543 |
|
543 | |||
| 544 | # self.data = None |
|
544 | # self.data = None | |
| 545 |
|
545 | |||
| 546 | # self.dtype = None |
|
546 | # self.dtype = None | |
| 547 |
|
547 | |||
| 548 | # self.nChannels = 0 |
|
548 | # self.nChannels = 0 | |
| 549 |
|
549 | |||
| 550 | # self.nHeights = 0 |
|
550 | # self.nHeights = 0 | |
| 551 |
|
551 | |||
| 552 | self.nProfiles = None |
|
552 | self.nProfiles = None | |
| 553 |
|
553 | |||
| 554 | self.heightList = None |
|
554 | self.heightList = None | |
| 555 |
|
555 | |||
| 556 | self.channelList = None |
|
556 | self.channelList = None | |
| 557 |
|
557 | |||
| 558 | # self.channelIndexList = None |
|
558 | # self.channelIndexList = None | |
| 559 |
|
559 | |||
| 560 | self.pairsList = None |
|
560 | self.pairsList = None | |
| 561 |
|
561 | |||
| 562 | self.flagNoData = True |
|
562 | self.flagNoData = True | |
| 563 |
|
563 | |||
| 564 | self.flagDiscontinuousBlock = False |
|
564 | self.flagDiscontinuousBlock = False | |
| 565 |
|
565 | |||
| 566 | self.utctime = None |
|
566 | self.utctime = None | |
| 567 |
|
567 | |||
| 568 | self.nCohInt = None |
|
568 | self.nCohInt = None | |
| 569 |
|
569 | |||
| 570 | self.nIncohInt = None |
|
570 | self.nIncohInt = None | |
| 571 |
|
571 | |||
| 572 | self.blocksize = None |
|
572 | self.blocksize = None | |
| 573 |
|
573 | |||
| 574 | self.nFFTPoints = None |
|
574 | self.nFFTPoints = None | |
| 575 |
|
575 | |||
| 576 | self.wavelength = None |
|
576 | self.wavelength = None | |
| 577 |
|
577 | |||
| 578 | self.flagDecodeData = False #asumo q la data no esta decodificada |
|
578 | self.flagDecodeData = False #asumo q la data no esta decodificada | |
| 579 |
|
579 | |||
| 580 | self.flagDeflipData = False #asumo q la data no esta sin flip |
|
580 | self.flagDeflipData = False #asumo q la data no esta sin flip | |
| 581 |
|
581 | |||
| 582 | self.flagShiftFFT = False |
|
582 | self.flagShiftFFT = False | |
| 583 |
|
583 | |||
| 584 | self.ippFactor = 1 |
|
584 | self.ippFactor = 1 | |
| 585 |
|
585 | |||
| 586 | #self.noise = None |
|
586 | #self.noise = None | |
| 587 |
|
587 | |||
| 588 | self.beacon_heiIndexList = [] |
|
588 | self.beacon_heiIndexList = [] | |
| 589 |
|
589 | |||
| 590 | self.noise_estimation = None |
|
590 | self.noise_estimation = None | |
| 591 |
|
591 | |||
| 592 |
|
592 | |||
| 593 | def getNoisebyHildebrand(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None): |
|
593 | def getNoisebyHildebrand(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None): | |
| 594 | """ |
|
594 | """ | |
| 595 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon |
|
595 | Determino el nivel de ruido usando el metodo Hildebrand-Sekhon | |
| 596 |
|
596 | |||
| 597 | Return: |
|
597 | Return: | |
| 598 | noiselevel |
|
598 | noiselevel | |
| 599 | """ |
|
599 | """ | |
| 600 |
|
600 | |||
| 601 | noise = numpy.zeros(self.nChannels) |
|
601 | noise = numpy.zeros(self.nChannels) | |
| 602 |
|
602 | |||
| 603 | for channel in range(self.nChannels): |
|
603 | for channel in range(self.nChannels): | |
| 604 | daux = self.data_spc[channel,xmin_index:xmax_index,ymin_index:ymax_index] |
|
604 | daux = self.data_spc[channel,xmin_index:xmax_index,ymin_index:ymax_index] | |
| 605 | noise[channel] = hildebrand_sekhon(daux, self.nIncohInt) |
|
605 | noise[channel] = hildebrand_sekhon(daux, self.nIncohInt) | |
| 606 |
|
606 | |||
| 607 | return noise |
|
607 | return noise | |
| 608 |
|
608 | |||
| 609 | def getNoise(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None): |
|
609 | def getNoise(self, xmin_index=None, xmax_index=None, ymin_index=None, ymax_index=None): | |
| 610 |
|
610 | |||
| 611 | if self.noise_estimation is not None: |
|
611 | if self.noise_estimation is not None: | |
| 612 | return self.noise_estimation #this was estimated by getNoise Operation defined in jroproc_spectra.py |
|
612 | return self.noise_estimation #this was estimated by getNoise Operation defined in jroproc_spectra.py | |
| 613 | else: |
|
613 | else: | |
| 614 | noise = self.getNoisebyHildebrand(xmin_index, xmax_index, ymin_index, ymax_index) |
|
614 | noise = self.getNoisebyHildebrand(xmin_index, xmax_index, ymin_index, ymax_index) | |
| 615 | return noise |
|
615 | return noise | |
| 616 |
|
616 | |||
| 617 | def getFreqRangeTimeResponse(self, extrapoints=0): |
|
617 | def getFreqRangeTimeResponse(self, extrapoints=0): | |
| 618 |
|
618 | |||
| 619 | deltafreq = self.getFmaxTimeResponse() / (self.nFFTPoints*self.ippFactor) |
|
619 | deltafreq = self.getFmaxTimeResponse() / (self.nFFTPoints*self.ippFactor) | |
| 620 | freqrange = deltafreq*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltafreq/2 |
|
620 | freqrange = deltafreq*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltafreq/2 | |
| 621 |
|
621 | |||
| 622 | return freqrange |
|
622 | return freqrange | |
| 623 |
|
623 | |||
| 624 | def getAcfRange(self, extrapoints=0): |
|
624 | def getAcfRange(self, extrapoints=0): | |
| 625 |
|
625 | |||
| 626 | deltafreq = 10./(self.getFmax() / (self.nFFTPoints*self.ippFactor)) |
|
626 | deltafreq = 10./(self.getFmax() / (self.nFFTPoints*self.ippFactor)) | |
| 627 | freqrange = deltafreq*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltafreq/2 |
|
627 | freqrange = deltafreq*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltafreq/2 | |
| 628 |
|
628 | |||
| 629 | return freqrange |
|
629 | return freqrange | |
| 630 |
|
630 | |||
| 631 | def getFreqRange(self, extrapoints=0): |
|
631 | def getFreqRange(self, extrapoints=0): | |
| 632 |
|
632 | |||
| 633 | deltafreq = self.getFmax() / (self.nFFTPoints*self.ippFactor) |
|
633 | deltafreq = self.getFmax() / (self.nFFTPoints*self.ippFactor) | |
| 634 | freqrange = deltafreq*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltafreq/2 |
|
634 | freqrange = deltafreq*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) - deltafreq/2 | |
| 635 |
|
635 | |||
| 636 | return freqrange |
|
636 | return freqrange | |
| 637 |
|
637 | |||
| 638 | def getVelRange(self, extrapoints=0): |
|
638 | def getVelRange(self, extrapoints=0): | |
| 639 |
|
639 | |||
| 640 | print 'VELMAX', self.getVmax() |
|
|||
| 641 | asdasdasd |
|
|||
| 642 | deltav = self.getVmax() / (self.nFFTPoints*self.ippFactor) |
|
640 | deltav = self.getVmax() / (self.nFFTPoints*self.ippFactor) | |
| 643 | velrange = deltav*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) #- deltav/2 |
|
641 | velrange = deltav*(numpy.arange(self.nFFTPoints+extrapoints)-self.nFFTPoints/2.) #- deltav/2 | |
| 644 |
|
642 | |||
| 645 | return velrange |
|
643 | return velrange | |
| 646 |
|
644 | |||
| 647 | def getNPairs(self): |
|
645 | def getNPairs(self): | |
| 648 |
|
646 | |||
| 649 | return len(self.pairsList) |
|
647 | return len(self.pairsList) | |
| 650 |
|
648 | |||
| 651 | def getPairsIndexList(self): |
|
649 | def getPairsIndexList(self): | |
| 652 |
|
650 | |||
| 653 | return range(self.nPairs) |
|
651 | return range(self.nPairs) | |
| 654 |
|
652 | |||
| 655 | def getNormFactor(self): |
|
653 | def getNormFactor(self): | |
| 656 |
|
654 | |||
| 657 | pwcode = 1 |
|
655 | pwcode = 1 | |
| 658 |
|
656 | |||
| 659 | if self.flagDecodeData: |
|
657 | if self.flagDecodeData: | |
| 660 | pwcode = numpy.sum(self.code[0]**2) |
|
658 | pwcode = numpy.sum(self.code[0]**2) | |
| 661 | #normFactor = min(self.nFFTPoints,self.nProfiles)*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter |
|
659 | #normFactor = min(self.nFFTPoints,self.nProfiles)*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter | |
| 662 | normFactor = self.nProfiles*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter |
|
660 | normFactor = self.nProfiles*self.nIncohInt*self.nCohInt*pwcode*self.windowOfFilter | |
| 663 |
|
661 | |||
| 664 | return normFactor |
|
662 | return normFactor | |
| 665 |
|
663 | |||
| 666 | def getFlagCspc(self): |
|
664 | def getFlagCspc(self): | |
| 667 |
|
665 | |||
| 668 | if self.data_cspc is None: |
|
666 | if self.data_cspc is None: | |
| 669 | return True |
|
667 | return True | |
| 670 |
|
668 | |||
| 671 | return False |
|
669 | return False | |
| 672 |
|
670 | |||
| 673 | def getFlagDc(self): |
|
671 | def getFlagDc(self): | |
| 674 |
|
672 | |||
| 675 | if self.data_dc is None: |
|
673 | if self.data_dc is None: | |
| 676 | return True |
|
674 | return True | |
| 677 |
|
675 | |||
| 678 | return False |
|
676 | return False | |
| 679 |
|
677 | |||
| 680 | def getTimeInterval(self): |
|
678 | def getTimeInterval(self): | |
| 681 |
|
679 | |||
| 682 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt * self.nProfiles |
|
680 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt * self.nProfiles | |
| 683 |
|
681 | |||
| 684 | return timeInterval |
|
682 | return timeInterval | |
| 685 |
|
683 | |||
| 686 | def getPower(self): |
|
684 | def getPower(self): | |
| 687 |
|
685 | |||
| 688 | factor = self.normFactor |
|
686 | factor = self.normFactor | |
| 689 | z = self.data_spc/factor |
|
687 | z = self.data_spc/factor | |
| 690 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
688 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 691 | avg = numpy.average(z, axis=1) |
|
689 | avg = numpy.average(z, axis=1) | |
| 692 |
|
690 | |||
| 693 | return 10*numpy.log10(avg) |
|
691 | return 10*numpy.log10(avg) | |
| 694 |
|
692 | |||
| 695 | def getCoherence(self, pairsList=None, phase=False): |
|
693 | def getCoherence(self, pairsList=None, phase=False): | |
| 696 |
|
694 | |||
| 697 | z = [] |
|
695 | z = [] | |
| 698 | if pairsList is None: |
|
696 | if pairsList is None: | |
| 699 | pairsIndexList = self.pairsIndexList |
|
697 | pairsIndexList = self.pairsIndexList | |
| 700 | else: |
|
698 | else: | |
| 701 | pairsIndexList = [] |
|
699 | pairsIndexList = [] | |
| 702 | for pair in pairsList: |
|
700 | for pair in pairsList: | |
| 703 | if pair not in self.pairsList: |
|
701 | if pair not in self.pairsList: | |
| 704 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
702 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) | |
| 705 | pairsIndexList.append(self.pairsList.index(pair)) |
|
703 | pairsIndexList.append(self.pairsList.index(pair)) | |
| 706 | for i in range(len(pairsIndexList)): |
|
704 | for i in range(len(pairsIndexList)): | |
| 707 | pair = self.pairsList[pairsIndexList[i]] |
|
705 | pair = self.pairsList[pairsIndexList[i]] | |
| 708 | ccf = numpy.average(self.data_cspc[pairsIndexList[i], :, :], axis=0) |
|
706 | ccf = numpy.average(self.data_cspc[pairsIndexList[i], :, :], axis=0) | |
| 709 | powa = numpy.average(self.data_spc[pair[0], :, :], axis=0) |
|
707 | powa = numpy.average(self.data_spc[pair[0], :, :], axis=0) | |
| 710 | powb = numpy.average(self.data_spc[pair[1], :, :], axis=0) |
|
708 | powb = numpy.average(self.data_spc[pair[1], :, :], axis=0) | |
| 711 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
709 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) | |
| 712 | if phase: |
|
710 | if phase: | |
| 713 | data = numpy.arctan2(avgcoherenceComplex.imag, |
|
711 | data = numpy.arctan2(avgcoherenceComplex.imag, | |
| 714 | avgcoherenceComplex.real)*180/numpy.pi |
|
712 | avgcoherenceComplex.real)*180/numpy.pi | |
| 715 | else: |
|
713 | else: | |
| 716 | data = numpy.abs(avgcoherenceComplex) |
|
714 | data = numpy.abs(avgcoherenceComplex) | |
| 717 |
|
715 | |||
| 718 | z.append(data) |
|
716 | z.append(data) | |
| 719 |
|
717 | |||
| 720 | return numpy.array(z) |
|
718 | return numpy.array(z) | |
| 721 |
|
719 | |||
| 722 | def setValue(self, value): |
|
720 | def setValue(self, value): | |
| 723 |
|
721 | |||
| 724 | print "This property should not be initialized" |
|
722 | print "This property should not be initialized" | |
| 725 |
|
723 | |||
| 726 | return |
|
724 | return | |
| 727 |
|
725 | |||
| 728 | nPairs = property(getNPairs, setValue, "I'm the 'nPairs' property.") |
|
726 | nPairs = property(getNPairs, setValue, "I'm the 'nPairs' property.") | |
| 729 | pairsIndexList = property(getPairsIndexList, setValue, "I'm the 'pairsIndexList' property.") |
|
727 | pairsIndexList = property(getPairsIndexList, setValue, "I'm the 'pairsIndexList' property.") | |
| 730 | normFactor = property(getNormFactor, setValue, "I'm the 'getNormFactor' property.") |
|
728 | normFactor = property(getNormFactor, setValue, "I'm the 'getNormFactor' property.") | |
| 731 | flag_cspc = property(getFlagCspc, setValue) |
|
729 | flag_cspc = property(getFlagCspc, setValue) | |
| 732 | flag_dc = property(getFlagDc, setValue) |
|
730 | flag_dc = property(getFlagDc, setValue) | |
| 733 | noise = property(getNoise, setValue, "I'm the 'nHeights' property.") |
|
731 | noise = property(getNoise, setValue, "I'm the 'nHeights' property.") | |
| 734 | timeInterval = property(getTimeInterval, setValue, "I'm the 'timeInterval' property") |
|
732 | timeInterval = property(getTimeInterval, setValue, "I'm the 'timeInterval' property") | |
| 735 |
|
733 | |||
| 736 | class SpectraHeis(Spectra): |
|
734 | class SpectraHeis(Spectra): | |
| 737 |
|
735 | |||
| 738 | data_spc = None |
|
736 | data_spc = None | |
| 739 |
|
737 | |||
| 740 | data_cspc = None |
|
738 | data_cspc = None | |
| 741 |
|
739 | |||
| 742 | data_dc = None |
|
740 | data_dc = None | |
| 743 |
|
741 | |||
| 744 | nFFTPoints = None |
|
742 | nFFTPoints = None | |
| 745 |
|
743 | |||
| 746 | # nPairs = None |
|
744 | # nPairs = None | |
| 747 |
|
745 | |||
| 748 | pairsList = None |
|
746 | pairsList = None | |
| 749 |
|
747 | |||
| 750 | nCohInt = None |
|
748 | nCohInt = None | |
| 751 |
|
749 | |||
| 752 | nIncohInt = None |
|
750 | nIncohInt = None | |
| 753 |
|
751 | |||
| 754 | def __init__(self): |
|
752 | def __init__(self): | |
| 755 |
|
753 | |||
| 756 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
754 | self.radarControllerHeaderObj = RadarControllerHeader() | |
| 757 |
|
755 | |||
| 758 | self.systemHeaderObj = SystemHeader() |
|
756 | self.systemHeaderObj = SystemHeader() | |
| 759 |
|
757 | |||
| 760 | self.type = "SpectraHeis" |
|
758 | self.type = "SpectraHeis" | |
| 761 |
|
759 | |||
| 762 | # self.dtype = None |
|
760 | # self.dtype = None | |
| 763 |
|
761 | |||
| 764 | # self.nChannels = 0 |
|
762 | # self.nChannels = 0 | |
| 765 |
|
763 | |||
| 766 | # self.nHeights = 0 |
|
764 | # self.nHeights = 0 | |
| 767 |
|
765 | |||
| 768 | self.nProfiles = None |
|
766 | self.nProfiles = None | |
| 769 |
|
767 | |||
| 770 | self.heightList = None |
|
768 | self.heightList = None | |
| 771 |
|
769 | |||
| 772 | self.channelList = None |
|
770 | self.channelList = None | |
| 773 |
|
771 | |||
| 774 | # self.channelIndexList = None |
|
772 | # self.channelIndexList = None | |
| 775 |
|
773 | |||
| 776 | self.flagNoData = True |
|
774 | self.flagNoData = True | |
| 777 |
|
775 | |||
| 778 | self.flagDiscontinuousBlock = False |
|
776 | self.flagDiscontinuousBlock = False | |
| 779 |
|
777 | |||
| 780 | # self.nPairs = 0 |
|
778 | # self.nPairs = 0 | |
| 781 |
|
779 | |||
| 782 | self.utctime = None |
|
780 | self.utctime = None | |
| 783 |
|
781 | |||
| 784 | self.blocksize = None |
|
782 | self.blocksize = None | |
| 785 |
|
783 | |||
| 786 | self.profileIndex = 0 |
|
784 | self.profileIndex = 0 | |
| 787 |
|
785 | |||
| 788 | self.nCohInt = 1 |
|
786 | self.nCohInt = 1 | |
| 789 |
|
787 | |||
| 790 | self.nIncohInt = 1 |
|
788 | self.nIncohInt = 1 | |
| 791 |
|
789 | |||
| 792 | def getNormFactor(self): |
|
790 | def getNormFactor(self): | |
| 793 | pwcode = 1 |
|
791 | pwcode = 1 | |
| 794 | if self.flagDecodeData: |
|
792 | if self.flagDecodeData: | |
| 795 | pwcode = numpy.sum(self.code[0]**2) |
|
793 | pwcode = numpy.sum(self.code[0]**2) | |
| 796 |
|
794 | |||
| 797 | normFactor = self.nIncohInt*self.nCohInt*pwcode |
|
795 | normFactor = self.nIncohInt*self.nCohInt*pwcode | |
| 798 |
|
796 | |||
| 799 | return normFactor |
|
797 | return normFactor | |
| 800 |
|
798 | |||
| 801 | def getTimeInterval(self): |
|
799 | def getTimeInterval(self): | |
| 802 |
|
800 | |||
| 803 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt |
|
801 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt | |
| 804 |
|
802 | |||
| 805 | return timeInterval |
|
803 | return timeInterval | |
| 806 |
|
804 | |||
| 807 | normFactor = property(getNormFactor, "I'm the 'getNormFactor' property.") |
|
805 | normFactor = property(getNormFactor, "I'm the 'getNormFactor' property.") | |
| 808 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
806 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") | |
| 809 |
|
807 | |||
| 810 | class Fits(JROData): |
|
808 | class Fits(JROData): | |
| 811 |
|
809 | |||
| 812 | heightList = None |
|
810 | heightList = None | |
| 813 |
|
811 | |||
| 814 | channelList = None |
|
812 | channelList = None | |
| 815 |
|
813 | |||
| 816 | flagNoData = True |
|
814 | flagNoData = True | |
| 817 |
|
815 | |||
| 818 | flagDiscontinuousBlock = False |
|
816 | flagDiscontinuousBlock = False | |
| 819 |
|
817 | |||
| 820 | useLocalTime = False |
|
818 | useLocalTime = False | |
| 821 |
|
819 | |||
| 822 | utctime = None |
|
820 | utctime = None | |
| 823 |
|
821 | |||
| 824 | timeZone = None |
|
822 | timeZone = None | |
| 825 |
|
823 | |||
| 826 | # ippSeconds = None |
|
824 | # ippSeconds = None | |
| 827 |
|
825 | |||
| 828 | # timeInterval = None |
|
826 | # timeInterval = None | |
| 829 |
|
827 | |||
| 830 | nCohInt = None |
|
828 | nCohInt = None | |
| 831 |
|
829 | |||
| 832 | nIncohInt = None |
|
830 | nIncohInt = None | |
| 833 |
|
831 | |||
| 834 | noise = None |
|
832 | noise = None | |
| 835 |
|
833 | |||
| 836 | windowOfFilter = 1 |
|
834 | windowOfFilter = 1 | |
| 837 |
|
835 | |||
| 838 | #Speed of ligth |
|
836 | #Speed of ligth | |
| 839 | C = 3e8 |
|
837 | C = 3e8 | |
| 840 |
|
838 | |||
| 841 | frequency = 49.92e6 |
|
839 | frequency = 49.92e6 | |
| 842 |
|
840 | |||
| 843 | realtime = False |
|
841 | realtime = False | |
| 844 |
|
842 | |||
| 845 |
|
843 | |||
| 846 | def __init__(self): |
|
844 | def __init__(self): | |
| 847 |
|
845 | |||
| 848 | self.type = "Fits" |
|
846 | self.type = "Fits" | |
| 849 |
|
847 | |||
| 850 | self.nProfiles = None |
|
848 | self.nProfiles = None | |
| 851 |
|
849 | |||
| 852 | self.heightList = None |
|
850 | self.heightList = None | |
| 853 |
|
851 | |||
| 854 | self.channelList = None |
|
852 | self.channelList = None | |
| 855 |
|
853 | |||
| 856 | # self.channelIndexList = None |
|
854 | # self.channelIndexList = None | |
| 857 |
|
855 | |||
| 858 | self.flagNoData = True |
|
856 | self.flagNoData = True | |
| 859 |
|
857 | |||
| 860 | self.utctime = None |
|
858 | self.utctime = None | |
| 861 |
|
859 | |||
| 862 | self.nCohInt = 1 |
|
860 | self.nCohInt = 1 | |
| 863 |
|
861 | |||
| 864 | self.nIncohInt = 1 |
|
862 | self.nIncohInt = 1 | |
| 865 |
|
863 | |||
| 866 | self.useLocalTime = True |
|
864 | self.useLocalTime = True | |
| 867 |
|
865 | |||
| 868 | self.profileIndex = 0 |
|
866 | self.profileIndex = 0 | |
| 869 |
|
867 | |||
| 870 | # self.utctime = None |
|
868 | # self.utctime = None | |
| 871 | # self.timeZone = None |
|
869 | # self.timeZone = None | |
| 872 | # self.ltctime = None |
|
870 | # self.ltctime = None | |
| 873 | # self.timeInterval = None |
|
871 | # self.timeInterval = None | |
| 874 | # self.header = None |
|
872 | # self.header = None | |
| 875 | # self.data_header = None |
|
873 | # self.data_header = None | |
| 876 | # self.data = None |
|
874 | # self.data = None | |
| 877 | # self.datatime = None |
|
875 | # self.datatime = None | |
| 878 | # self.flagNoData = False |
|
876 | # self.flagNoData = False | |
| 879 | # self.expName = '' |
|
877 | # self.expName = '' | |
| 880 | # self.nChannels = None |
|
878 | # self.nChannels = None | |
| 881 | # self.nSamples = None |
|
879 | # self.nSamples = None | |
| 882 | # self.dataBlocksPerFile = None |
|
880 | # self.dataBlocksPerFile = None | |
| 883 | # self.comments = '' |
|
881 | # self.comments = '' | |
| 884 | # |
|
882 | # | |
| 885 |
|
883 | |||
| 886 |
|
884 | |||
| 887 | def getltctime(self): |
|
885 | def getltctime(self): | |
| 888 |
|
886 | |||
| 889 | if self.useLocalTime: |
|
887 | if self.useLocalTime: | |
| 890 | return self.utctime - self.timeZone*60 |
|
888 | return self.utctime - self.timeZone*60 | |
| 891 |
|
889 | |||
| 892 | return self.utctime |
|
890 | return self.utctime | |
| 893 |
|
891 | |||
| 894 | def getDatatime(self): |
|
892 | def getDatatime(self): | |
| 895 |
|
893 | |||
| 896 | datatime = datetime.datetime.utcfromtimestamp(self.ltctime) |
|
894 | datatime = datetime.datetime.utcfromtimestamp(self.ltctime) | |
| 897 | return datatime |
|
895 | return datatime | |
| 898 |
|
896 | |||
| 899 | def getTimeRange(self): |
|
897 | def getTimeRange(self): | |
| 900 |
|
898 | |||
| 901 | datatime = [] |
|
899 | datatime = [] | |
| 902 |
|
900 | |||
| 903 | datatime.append(self.ltctime) |
|
901 | datatime.append(self.ltctime) | |
| 904 | datatime.append(self.ltctime + self.timeInterval) |
|
902 | datatime.append(self.ltctime + self.timeInterval) | |
| 905 |
|
903 | |||
| 906 | datatime = numpy.array(datatime) |
|
904 | datatime = numpy.array(datatime) | |
| 907 |
|
905 | |||
| 908 | return datatime |
|
906 | return datatime | |
| 909 |
|
907 | |||
| 910 | def getHeiRange(self): |
|
908 | def getHeiRange(self): | |
| 911 |
|
909 | |||
| 912 | heis = self.heightList |
|
910 | heis = self.heightList | |
| 913 |
|
911 | |||
| 914 | return heis |
|
912 | return heis | |
| 915 |
|
913 | |||
| 916 | def getNHeights(self): |
|
914 | def getNHeights(self): | |
| 917 |
|
915 | |||
| 918 | return len(self.heightList) |
|
916 | return len(self.heightList) | |
| 919 |
|
917 | |||
| 920 | def getNChannels(self): |
|
918 | def getNChannels(self): | |
| 921 |
|
919 | |||
| 922 | return len(self.channelList) |
|
920 | return len(self.channelList) | |
| 923 |
|
921 | |||
| 924 | def getChannelIndexList(self): |
|
922 | def getChannelIndexList(self): | |
| 925 |
|
923 | |||
| 926 | return range(self.nChannels) |
|
924 | return range(self.nChannels) | |
| 927 |
|
925 | |||
| 928 | def getNoise(self, type = 1): |
|
926 | def getNoise(self, type = 1): | |
| 929 |
|
927 | |||
| 930 | #noise = numpy.zeros(self.nChannels) |
|
928 | #noise = numpy.zeros(self.nChannels) | |
| 931 |
|
929 | |||
| 932 | if type == 1: |
|
930 | if type == 1: | |
| 933 | noise = self.getNoisebyHildebrand() |
|
931 | noise = self.getNoisebyHildebrand() | |
| 934 |
|
932 | |||
| 935 | if type == 2: |
|
933 | if type == 2: | |
| 936 | noise = self.getNoisebySort() |
|
934 | noise = self.getNoisebySort() | |
| 937 |
|
935 | |||
| 938 | if type == 3: |
|
936 | if type == 3: | |
| 939 | noise = self.getNoisebyWindow() |
|
937 | noise = self.getNoisebyWindow() | |
| 940 |
|
938 | |||
| 941 | return noise |
|
939 | return noise | |
| 942 |
|
940 | |||
| 943 | def getTimeInterval(self): |
|
941 | def getTimeInterval(self): | |
| 944 |
|
942 | |||
| 945 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt |
|
943 | timeInterval = self.ippSeconds * self.nCohInt * self.nIncohInt | |
| 946 |
|
944 | |||
| 947 | return timeInterval |
|
945 | return timeInterval | |
| 948 |
|
946 | |||
| 949 | datatime = property(getDatatime, "I'm the 'datatime' property") |
|
947 | datatime = property(getDatatime, "I'm the 'datatime' property") | |
| 950 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") |
|
948 | nHeights = property(getNHeights, "I'm the 'nHeights' property.") | |
| 951 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") |
|
949 | nChannels = property(getNChannels, "I'm the 'nChannel' property.") | |
| 952 | channelIndexList = property(getChannelIndexList, "I'm the 'channelIndexList' property.") |
|
950 | channelIndexList = property(getChannelIndexList, "I'm the 'channelIndexList' property.") | |
| 953 | noise = property(getNoise, "I'm the 'nHeights' property.") |
|
951 | noise = property(getNoise, "I'm the 'nHeights' property.") | |
| 954 |
|
952 | |||
| 955 | ltctime = property(getltctime, "I'm the 'ltctime' property") |
|
953 | ltctime = property(getltctime, "I'm the 'ltctime' property") | |
| 956 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
954 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") | |
| 957 |
|
955 | |||
| 958 |
|
956 | |||
| 959 | class Correlation(JROData): |
|
957 | class Correlation(JROData): | |
| 960 |
|
958 | |||
| 961 | noise = None |
|
959 | noise = None | |
| 962 |
|
960 | |||
| 963 | SNR = None |
|
961 | SNR = None | |
| 964 |
|
962 | |||
| 965 | #-------------------------------------------------- |
|
963 | #-------------------------------------------------- | |
| 966 |
|
964 | |||
| 967 | mode = None |
|
965 | mode = None | |
| 968 |
|
966 | |||
| 969 | split = False |
|
967 | split = False | |
| 970 |
|
968 | |||
| 971 | data_cf = None |
|
969 | data_cf = None | |
| 972 |
|
970 | |||
| 973 | lags = None |
|
971 | lags = None | |
| 974 |
|
972 | |||
| 975 | lagRange = None |
|
973 | lagRange = None | |
| 976 |
|
974 | |||
| 977 | pairsList = None |
|
975 | pairsList = None | |
| 978 |
|
976 | |||
| 979 | normFactor = None |
|
977 | normFactor = None | |
| 980 |
|
978 | |||
| 981 | #-------------------------------------------------- |
|
979 | #-------------------------------------------------- | |
| 982 |
|
980 | |||
| 983 | # calculateVelocity = None |
|
981 | # calculateVelocity = None | |
| 984 |
|
982 | |||
| 985 | nLags = None |
|
983 | nLags = None | |
| 986 |
|
984 | |||
| 987 | nPairs = None |
|
985 | nPairs = None | |
| 988 |
|
986 | |||
| 989 | nAvg = None |
|
987 | nAvg = None | |
| 990 |
|
988 | |||
| 991 |
|
989 | |||
| 992 | def __init__(self): |
|
990 | def __init__(self): | |
| 993 | ''' |
|
991 | ''' | |
| 994 | Constructor |
|
992 | Constructor | |
| 995 | ''' |
|
993 | ''' | |
| 996 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
994 | self.radarControllerHeaderObj = RadarControllerHeader() | |
| 997 |
|
995 | |||
| 998 | self.systemHeaderObj = SystemHeader() |
|
996 | self.systemHeaderObj = SystemHeader() | |
| 999 |
|
997 | |||
| 1000 | self.type = "Correlation" |
|
998 | self.type = "Correlation" | |
| 1001 |
|
999 | |||
| 1002 | self.data = None |
|
1000 | self.data = None | |
| 1003 |
|
1001 | |||
| 1004 | self.dtype = None |
|
1002 | self.dtype = None | |
| 1005 |
|
1003 | |||
| 1006 | self.nProfiles = None |
|
1004 | self.nProfiles = None | |
| 1007 |
|
1005 | |||
| 1008 | self.heightList = None |
|
1006 | self.heightList = None | |
| 1009 |
|
1007 | |||
| 1010 | self.channelList = None |
|
1008 | self.channelList = None | |
| 1011 |
|
1009 | |||
| 1012 | self.flagNoData = True |
|
1010 | self.flagNoData = True | |
| 1013 |
|
1011 | |||
| 1014 | self.flagDiscontinuousBlock = False |
|
1012 | self.flagDiscontinuousBlock = False | |
| 1015 |
|
1013 | |||
| 1016 | self.utctime = None |
|
1014 | self.utctime = None | |
| 1017 |
|
1015 | |||
| 1018 | self.timeZone = None |
|
1016 | self.timeZone = None | |
| 1019 |
|
1017 | |||
| 1020 | self.dstFlag = None |
|
1018 | self.dstFlag = None | |
| 1021 |
|
1019 | |||
| 1022 | self.errorCount = None |
|
1020 | self.errorCount = None | |
| 1023 |
|
1021 | |||
| 1024 | self.blocksize = None |
|
1022 | self.blocksize = None | |
| 1025 |
|
1023 | |||
| 1026 | self.flagDecodeData = False #asumo q la data no esta decodificada |
|
1024 | self.flagDecodeData = False #asumo q la data no esta decodificada | |
| 1027 |
|
1025 | |||
| 1028 | self.flagDeflipData = False #asumo q la data no esta sin flip |
|
1026 | self.flagDeflipData = False #asumo q la data no esta sin flip | |
| 1029 |
|
1027 | |||
| 1030 | self.pairsList = None |
|
1028 | self.pairsList = None | |
| 1031 |
|
1029 | |||
| 1032 | self.nPoints = None |
|
1030 | self.nPoints = None | |
| 1033 |
|
1031 | |||
| 1034 | def getPairsList(self): |
|
1032 | def getPairsList(self): | |
| 1035 |
|
1033 | |||
| 1036 | return self.pairsList |
|
1034 | return self.pairsList | |
| 1037 |
|
1035 | |||
| 1038 | def getNoise(self, mode = 2): |
|
1036 | def getNoise(self, mode = 2): | |
| 1039 |
|
1037 | |||
| 1040 | indR = numpy.where(self.lagR == 0)[0][0] |
|
1038 | indR = numpy.where(self.lagR == 0)[0][0] | |
| 1041 | indT = numpy.where(self.lagT == 0)[0][0] |
|
1039 | indT = numpy.where(self.lagT == 0)[0][0] | |
| 1042 |
|
1040 | |||
| 1043 | jspectra0 = self.data_corr[:,:,indR,:] |
|
1041 | jspectra0 = self.data_corr[:,:,indR,:] | |
| 1044 | jspectra = copy.copy(jspectra0) |
|
1042 | jspectra = copy.copy(jspectra0) | |
| 1045 |
|
1043 | |||
| 1046 | num_chan = jspectra.shape[0] |
|
1044 | num_chan = jspectra.shape[0] | |
| 1047 | num_hei = jspectra.shape[2] |
|
1045 | num_hei = jspectra.shape[2] | |
| 1048 |
|
1046 | |||
| 1049 | freq_dc = jspectra.shape[1]/2 |
|
1047 | freq_dc = jspectra.shape[1]/2 | |
| 1050 | ind_vel = numpy.array([-2,-1,1,2]) + freq_dc |
|
1048 | ind_vel = numpy.array([-2,-1,1,2]) + freq_dc | |
| 1051 |
|
1049 | |||
| 1052 | if ind_vel[0]<0: |
|
1050 | if ind_vel[0]<0: | |
| 1053 | ind_vel[range(0,1)] = ind_vel[range(0,1)] + self.num_prof |
|
1051 | ind_vel[range(0,1)] = ind_vel[range(0,1)] + self.num_prof | |
| 1054 |
|
1052 | |||
| 1055 | if mode == 1: |
|
1053 | if mode == 1: | |
| 1056 | jspectra[:,freq_dc,:] = (jspectra[:,ind_vel[1],:] + jspectra[:,ind_vel[2],:])/2 #CORRECCION |
|
1054 | jspectra[:,freq_dc,:] = (jspectra[:,ind_vel[1],:] + jspectra[:,ind_vel[2],:])/2 #CORRECCION | |
| 1057 |
|
1055 | |||
| 1058 | if mode == 2: |
|
1056 | if mode == 2: | |
| 1059 |
|
1057 | |||
| 1060 | vel = numpy.array([-2,-1,1,2]) |
|
1058 | vel = numpy.array([-2,-1,1,2]) | |
| 1061 | xx = numpy.zeros([4,4]) |
|
1059 | xx = numpy.zeros([4,4]) | |
| 1062 |
|
1060 | |||
| 1063 | for fil in range(4): |
|
1061 | for fil in range(4): | |
| 1064 | xx[fil,:] = vel[fil]**numpy.asarray(range(4)) |
|
1062 | xx[fil,:] = vel[fil]**numpy.asarray(range(4)) | |
| 1065 |
|
1063 | |||
| 1066 | xx_inv = numpy.linalg.inv(xx) |
|
1064 | xx_inv = numpy.linalg.inv(xx) | |
| 1067 | xx_aux = xx_inv[0,:] |
|
1065 | xx_aux = xx_inv[0,:] | |
| 1068 |
|
1066 | |||
| 1069 | for ich in range(num_chan): |
|
1067 | for ich in range(num_chan): | |
| 1070 | yy = jspectra[ich,ind_vel,:] |
|
1068 | yy = jspectra[ich,ind_vel,:] | |
| 1071 | jspectra[ich,freq_dc,:] = numpy.dot(xx_aux,yy) |
|
1069 | jspectra[ich,freq_dc,:] = numpy.dot(xx_aux,yy) | |
| 1072 |
|
1070 | |||
| 1073 | junkid = jspectra[ich,freq_dc,:]<=0 |
|
1071 | junkid = jspectra[ich,freq_dc,:]<=0 | |
| 1074 | cjunkid = sum(junkid) |
|
1072 | cjunkid = sum(junkid) | |
| 1075 |
|
1073 | |||
| 1076 | if cjunkid.any(): |
|
1074 | if cjunkid.any(): | |
| 1077 | jspectra[ich,freq_dc,junkid.nonzero()] = (jspectra[ich,ind_vel[1],junkid] + jspectra[ich,ind_vel[2],junkid])/2 |
|
1075 | jspectra[ich,freq_dc,junkid.nonzero()] = (jspectra[ich,ind_vel[1],junkid] + jspectra[ich,ind_vel[2],junkid])/2 | |
| 1078 |
|
1076 | |||
| 1079 | noise = jspectra0[:,freq_dc,:] - jspectra[:,freq_dc,:] |
|
1077 | noise = jspectra0[:,freq_dc,:] - jspectra[:,freq_dc,:] | |
| 1080 |
|
1078 | |||
| 1081 | return noise |
|
1079 | return noise | |
| 1082 |
|
1080 | |||
| 1083 | def getTimeInterval(self): |
|
1081 | def getTimeInterval(self): | |
| 1084 |
|
1082 | |||
| 1085 | timeInterval = self.ippSeconds * self.nCohInt * self.nProfiles |
|
1083 | timeInterval = self.ippSeconds * self.nCohInt * self.nProfiles | |
| 1086 |
|
1084 | |||
| 1087 | return timeInterval |
|
1085 | return timeInterval | |
| 1088 |
|
1086 | |||
| 1089 | def splitFunctions(self): |
|
1087 | def splitFunctions(self): | |
| 1090 |
|
1088 | |||
| 1091 | pairsList = self.pairsList |
|
1089 | pairsList = self.pairsList | |
| 1092 | ccf_pairs = [] |
|
1090 | ccf_pairs = [] | |
| 1093 | acf_pairs = [] |
|
1091 | acf_pairs = [] | |
| 1094 | ccf_ind = [] |
|
1092 | ccf_ind = [] | |
| 1095 | acf_ind = [] |
|
1093 | acf_ind = [] | |
| 1096 | for l in range(len(pairsList)): |
|
1094 | for l in range(len(pairsList)): | |
| 1097 | chan0 = pairsList[l][0] |
|
1095 | chan0 = pairsList[l][0] | |
| 1098 | chan1 = pairsList[l][1] |
|
1096 | chan1 = pairsList[l][1] | |
| 1099 |
|
1097 | |||
| 1100 | #Obteniendo pares de Autocorrelacion |
|
1098 | #Obteniendo pares de Autocorrelacion | |
| 1101 | if chan0 == chan1: |
|
1099 | if chan0 == chan1: | |
| 1102 | acf_pairs.append(chan0) |
|
1100 | acf_pairs.append(chan0) | |
| 1103 | acf_ind.append(l) |
|
1101 | acf_ind.append(l) | |
| 1104 | else: |
|
1102 | else: | |
| 1105 | ccf_pairs.append(pairsList[l]) |
|
1103 | ccf_pairs.append(pairsList[l]) | |
| 1106 | ccf_ind.append(l) |
|
1104 | ccf_ind.append(l) | |
| 1107 |
|
1105 | |||
| 1108 | data_acf = self.data_cf[acf_ind] |
|
1106 | data_acf = self.data_cf[acf_ind] | |
| 1109 | data_ccf = self.data_cf[ccf_ind] |
|
1107 | data_ccf = self.data_cf[ccf_ind] | |
| 1110 |
|
1108 | |||
| 1111 | return acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf |
|
1109 | return acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf | |
| 1112 |
|
1110 | |||
| 1113 | def getNormFactor(self): |
|
1111 | def getNormFactor(self): | |
| 1114 | acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf = self.splitFunctions() |
|
1112 | acf_ind, ccf_ind, acf_pairs, ccf_pairs, data_acf, data_ccf = self.splitFunctions() | |
| 1115 | acf_pairs = numpy.array(acf_pairs) |
|
1113 | acf_pairs = numpy.array(acf_pairs) | |
| 1116 | normFactor = numpy.zeros((self.nPairs,self.nHeights)) |
|
1114 | normFactor = numpy.zeros((self.nPairs,self.nHeights)) | |
| 1117 |
|
1115 | |||
| 1118 | for p in range(self.nPairs): |
|
1116 | for p in range(self.nPairs): | |
| 1119 | pair = self.pairsList[p] |
|
1117 | pair = self.pairsList[p] | |
| 1120 |
|
1118 | |||
| 1121 | ch0 = pair[0] |
|
1119 | ch0 = pair[0] | |
| 1122 | ch1 = pair[1] |
|
1120 | ch1 = pair[1] | |
| 1123 |
|
1121 | |||
| 1124 | ch0_max = numpy.max(data_acf[acf_pairs==ch0,:,:], axis=1) |
|
1122 | ch0_max = numpy.max(data_acf[acf_pairs==ch0,:,:], axis=1) | |
| 1125 | ch1_max = numpy.max(data_acf[acf_pairs==ch1,:,:], axis=1) |
|
1123 | ch1_max = numpy.max(data_acf[acf_pairs==ch1,:,:], axis=1) | |
| 1126 | normFactor[p,:] = numpy.sqrt(ch0_max*ch1_max) |
|
1124 | normFactor[p,:] = numpy.sqrt(ch0_max*ch1_max) | |
| 1127 |
|
1125 | |||
| 1128 | return normFactor |
|
1126 | return normFactor | |
| 1129 |
|
1127 | |||
| 1130 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") |
|
1128 | timeInterval = property(getTimeInterval, "I'm the 'timeInterval' property") | |
| 1131 | normFactor = property(getNormFactor, "I'm the 'normFactor property'") |
|
1129 | normFactor = property(getNormFactor, "I'm the 'normFactor property'") | |
| 1132 |
|
1130 | |||
| 1133 | class Parameters(Spectra): |
|
1131 | class Parameters(Spectra): | |
| 1134 |
|
1132 | |||
| 1135 | experimentInfo = None #Information about the experiment |
|
1133 | experimentInfo = None #Information about the experiment | |
| 1136 |
|
1134 | |||
| 1137 | #Information from previous data |
|
1135 | #Information from previous data | |
| 1138 |
|
1136 | |||
| 1139 | inputUnit = None #Type of data to be processed |
|
1137 | inputUnit = None #Type of data to be processed | |
| 1140 |
|
1138 | |||
| 1141 | operation = None #Type of operation to parametrize |
|
1139 | operation = None #Type of operation to parametrize | |
| 1142 |
|
1140 | |||
| 1143 | #normFactor = None #Normalization Factor |
|
1141 | #normFactor = None #Normalization Factor | |
| 1144 |
|
1142 | |||
| 1145 | groupList = None #List of Pairs, Groups, etc |
|
1143 | groupList = None #List of Pairs, Groups, etc | |
| 1146 |
|
1144 | |||
| 1147 | #Parameters |
|
1145 | #Parameters | |
| 1148 |
|
1146 | |||
| 1149 | data_param = None #Parameters obtained |
|
1147 | data_param = None #Parameters obtained | |
| 1150 |
|
1148 | |||
| 1151 | data_pre = None #Data Pre Parametrization |
|
1149 | data_pre = None #Data Pre Parametrization | |
| 1152 |
|
1150 | |||
| 1153 | data_SNR = None #Signal to Noise Ratio |
|
1151 | data_SNR = None #Signal to Noise Ratio | |
| 1154 |
|
1152 | |||
| 1155 | # heightRange = None #Heights |
|
1153 | # heightRange = None #Heights | |
| 1156 |
|
1154 | |||
| 1157 | abscissaList = None #Abscissa, can be velocities, lags or time |
|
1155 | abscissaList = None #Abscissa, can be velocities, lags or time | |
| 1158 |
|
1156 | |||
| 1159 | # noise = None #Noise Potency |
|
1157 | # noise = None #Noise Potency | |
| 1160 |
|
1158 | |||
| 1161 | utctimeInit = None #Initial UTC time |
|
1159 | utctimeInit = None #Initial UTC time | |
| 1162 |
|
1160 | |||
| 1163 | paramInterval = None #Time interval to calculate Parameters in seconds |
|
1161 | paramInterval = None #Time interval to calculate Parameters in seconds | |
| 1164 |
|
1162 | |||
| 1165 | useLocalTime = True |
|
1163 | useLocalTime = True | |
| 1166 |
|
1164 | |||
| 1167 | #Fitting |
|
1165 | #Fitting | |
| 1168 |
|
1166 | |||
| 1169 | data_error = None #Error of the estimation |
|
1167 | data_error = None #Error of the estimation | |
| 1170 |
|
1168 | |||
| 1171 | constants = None |
|
1169 | constants = None | |
| 1172 |
|
1170 | |||
| 1173 | library = None |
|
1171 | library = None | |
| 1174 |
|
1172 | |||
| 1175 | #Output signal |
|
1173 | #Output signal | |
| 1176 |
|
1174 | |||
| 1177 | outputInterval = None #Time interval to calculate output signal in seconds |
|
1175 | outputInterval = None #Time interval to calculate output signal in seconds | |
| 1178 |
|
1176 | |||
| 1179 | data_output = None #Out signal |
|
1177 | data_output = None #Out signal | |
| 1180 |
|
1178 | |||
| 1181 | nAvg = None |
|
1179 | nAvg = None | |
| 1182 |
|
1180 | |||
| 1183 | noise_estimation = None |
|
1181 | noise_estimation = None | |
| 1184 |
|
1182 | |||
| 1185 | GauSPC = None #Fit gaussian SPC |
|
1183 | GauSPC = None #Fit gaussian SPC | |
| 1186 |
|
1184 | |||
| 1187 |
|
1185 | |||
| 1188 | def __init__(self): |
|
1186 | def __init__(self): | |
| 1189 | ''' |
|
1187 | ''' | |
| 1190 | Constructor |
|
1188 | Constructor | |
| 1191 | ''' |
|
1189 | ''' | |
| 1192 | self.radarControllerHeaderObj = RadarControllerHeader() |
|
1190 | self.radarControllerHeaderObj = RadarControllerHeader() | |
| 1193 |
|
1191 | |||
| 1194 | self.systemHeaderObj = SystemHeader() |
|
1192 | self.systemHeaderObj = SystemHeader() | |
| 1195 |
|
1193 | |||
| 1196 | self.type = "Parameters" |
|
1194 | self.type = "Parameters" | |
| 1197 |
|
1195 | |||
| 1198 | def getTimeRange1(self, interval): |
|
1196 | def getTimeRange1(self, interval): | |
| 1199 |
|
1197 | |||
| 1200 | datatime = [] |
|
1198 | datatime = [] | |
| 1201 |
|
1199 | |||
| 1202 | if self.useLocalTime: |
|
1200 | if self.useLocalTime: | |
| 1203 | time1 = self.utctimeInit - self.timeZone*60 |
|
1201 | time1 = self.utctimeInit - self.timeZone*60 | |
| 1204 | else: |
|
1202 | else: | |
| 1205 | time1 = self.utctimeInit |
|
1203 | time1 = self.utctimeInit | |
| 1206 |
|
1204 | |||
| 1207 | datatime.append(time1) |
|
1205 | datatime.append(time1) | |
| 1208 | datatime.append(time1 + interval) |
|
1206 | datatime.append(time1 + interval) | |
| 1209 | datatime = numpy.array(datatime) |
|
1207 | datatime = numpy.array(datatime) | |
| 1210 |
|
1208 | |||
| 1211 | return datatime |
|
1209 | return datatime | |
| 1212 |
|
1210 | |||
| 1213 | def getTimeInterval(self): |
|
1211 | def getTimeInterval(self): | |
| 1214 |
|
1212 | |||
| 1215 | if hasattr(self, 'timeInterval1'): |
|
1213 | if hasattr(self, 'timeInterval1'): | |
| 1216 | return self.timeInterval1 |
|
1214 | return self.timeInterval1 | |
| 1217 | else: |
|
1215 | else: | |
| 1218 | return self.paramInterval |
|
1216 | return self.paramInterval | |
| 1219 |
|
1217 | |||
| 1220 | def setValue(self, value): |
|
1218 | def setValue(self, value): | |
| 1221 |
|
1219 | |||
| 1222 | print "This property should not be initialized" |
|
1220 | print "This property should not be initialized" | |
| 1223 |
|
1221 | |||
| 1224 | return |
|
1222 | return | |
| 1225 |
|
1223 | |||
| 1226 | def getNoise(self): |
|
1224 | def getNoise(self): | |
| 1227 |
|
1225 | |||
| 1228 | return self.spc_noise |
|
1226 | return self.spc_noise | |
| 1229 |
|
1227 | |||
| 1230 | timeInterval = property(getTimeInterval) |
|
1228 | timeInterval = property(getTimeInterval) | |
| 1231 | noise = property(getNoise, setValue, "I'm the 'Noise' property.") |
|
1229 | noise = property(getNoise, setValue, "I'm the 'Noise' property.") | |
| @@ -1,2160 +1,2160 | |||||
| 1 | import os |
|
1 | import os | |
| 2 | import datetime |
|
2 | import datetime | |
| 3 | import numpy |
|
3 | import numpy | |
| 4 | import inspect |
|
4 | import inspect | |
| 5 | from figure import Figure, isRealtime, isTimeInHourRange |
|
5 | from figure import Figure, isRealtime, isTimeInHourRange | |
| 6 | from plotting_codes import * |
|
6 | from plotting_codes import * | |
| 7 |
|
7 | |||
| 8 |
|
8 | |||
| 9 |
class |
|
9 | class SpcParamPlot(Figure): | |
| 10 |
|
10 | |||
| 11 | isConfig = None |
|
11 | isConfig = None | |
| 12 | __nsubplots = None |
|
12 | __nsubplots = None | |
| 13 |
|
13 | |||
| 14 | WIDTHPROF = None |
|
14 | WIDTHPROF = None | |
| 15 | HEIGHTPROF = None |
|
15 | HEIGHTPROF = None | |
| 16 |
PREFIX = ' |
|
16 | PREFIX = 'SpcParam' | |
| 17 |
|
17 | |||
| 18 | def __init__(self, **kwargs): |
|
18 | def __init__(self, **kwargs): | |
| 19 | Figure.__init__(self, **kwargs) |
|
19 | Figure.__init__(self, **kwargs) | |
| 20 | self.isConfig = False |
|
20 | self.isConfig = False | |
| 21 | self.__nsubplots = 1 |
|
21 | self.__nsubplots = 1 | |
| 22 |
|
22 | |||
| 23 | self.WIDTH = 250 |
|
23 | self.WIDTH = 250 | |
| 24 | self.HEIGHT = 250 |
|
24 | self.HEIGHT = 250 | |
| 25 | self.WIDTHPROF = 120 |
|
25 | self.WIDTHPROF = 120 | |
| 26 | self.HEIGHTPROF = 0 |
|
26 | self.HEIGHTPROF = 0 | |
| 27 | self.counter_imagwr = 0 |
|
27 | self.counter_imagwr = 0 | |
| 28 |
|
28 | |||
| 29 | self.PLOT_CODE = SPEC_CODE |
|
29 | self.PLOT_CODE = SPEC_CODE | |
| 30 |
|
30 | |||
| 31 | self.FTP_WEI = None |
|
31 | self.FTP_WEI = None | |
| 32 | self.EXP_CODE = None |
|
32 | self.EXP_CODE = None | |
| 33 | self.SUB_EXP_CODE = None |
|
33 | self.SUB_EXP_CODE = None | |
| 34 | self.PLOT_POS = None |
|
34 | self.PLOT_POS = None | |
| 35 |
|
35 | |||
| 36 | self.__xfilter_ena = False |
|
36 | self.__xfilter_ena = False | |
| 37 | self.__yfilter_ena = False |
|
37 | self.__yfilter_ena = False | |
| 38 |
|
38 | |||
| 39 | def getSubplots(self): |
|
39 | def getSubplots(self): | |
| 40 |
|
40 | |||
| 41 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
41 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
| 42 | nrow = int(self.nplots*1./ncol + 0.9) |
|
42 | nrow = int(self.nplots*1./ncol + 0.9) | |
| 43 |
|
43 | |||
| 44 | return nrow, ncol |
|
44 | return nrow, ncol | |
| 45 |
|
45 | |||
| 46 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
46 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 47 |
|
47 | |||
| 48 | self.__showprofile = showprofile |
|
48 | self.__showprofile = showprofile | |
| 49 | self.nplots = nplots |
|
49 | self.nplots = nplots | |
| 50 |
|
50 | |||
| 51 | ncolspan = 1 |
|
51 | ncolspan = 1 | |
| 52 | colspan = 1 |
|
52 | colspan = 1 | |
| 53 | if showprofile: |
|
53 | if showprofile: | |
| 54 | ncolspan = 3 |
|
54 | ncolspan = 3 | |
| 55 | colspan = 2 |
|
55 | colspan = 2 | |
| 56 | self.__nsubplots = 2 |
|
56 | self.__nsubplots = 2 | |
| 57 |
|
57 | |||
| 58 | self.createFigure(id = id, |
|
58 | self.createFigure(id = id, | |
| 59 | wintitle = wintitle, |
|
59 | wintitle = wintitle, | |
| 60 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
60 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 61 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
61 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 62 | show=show) |
|
62 | show=show) | |
| 63 |
|
63 | |||
| 64 | nrow, ncol = self.getSubplots() |
|
64 | nrow, ncol = self.getSubplots() | |
| 65 |
|
65 | |||
| 66 | counter = 0 |
|
66 | counter = 0 | |
| 67 | for y in range(nrow): |
|
67 | for y in range(nrow): | |
| 68 | for x in range(ncol): |
|
68 | for x in range(ncol): | |
| 69 |
|
69 | |||
| 70 | if counter >= self.nplots: |
|
70 | if counter >= self.nplots: | |
| 71 | break |
|
71 | break | |
| 72 |
|
72 | |||
| 73 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
73 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 74 |
|
74 | |||
| 75 | if showprofile: |
|
75 | if showprofile: | |
| 76 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
76 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 77 |
|
77 | |||
| 78 | counter += 1 |
|
78 | counter += 1 | |
| 79 |
|
79 | |||
| 80 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
80 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, | |
| 81 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
81 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 82 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
82 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 83 | server=None, folder=None, username=None, password=None, |
|
83 | server=None, folder=None, username=None, password=None, | |
| 84 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
84 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, | |
| 85 |
xaxis="frequency", colormap='jet', normFactor=None , |
|
85 | xaxis="frequency", colormap='jet', normFactor=None , Selector = 0): | |
| 86 |
|
86 | |||
| 87 | """ |
|
87 | """ | |
| 88 |
|
88 | |||
| 89 | Input: |
|
89 | Input: | |
| 90 | dataOut : |
|
90 | dataOut : | |
| 91 | id : |
|
91 | id : | |
| 92 | wintitle : |
|
92 | wintitle : | |
| 93 | channelList : |
|
93 | channelList : | |
| 94 | showProfile : |
|
94 | showProfile : | |
| 95 | xmin : None, |
|
95 | xmin : None, | |
| 96 | xmax : None, |
|
96 | xmax : None, | |
| 97 | ymin : None, |
|
97 | ymin : None, | |
| 98 | ymax : None, |
|
98 | ymax : None, | |
| 99 | zmin : None, |
|
99 | zmin : None, | |
| 100 | zmax : None |
|
100 | zmax : None | |
| 101 | """ |
|
101 | """ | |
| 102 | if realtime: |
|
102 | if realtime: | |
| 103 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
103 | if not(isRealtime(utcdatatime = dataOut.utctime)): | |
| 104 | print 'Skipping this plot function' |
|
104 | print 'Skipping this plot function' | |
| 105 | return |
|
105 | return | |
| 106 |
|
106 | |||
| 107 | if channelList == None: |
|
107 | if channelList == None: | |
| 108 | channelIndexList = dataOut.channelIndexList |
|
108 | channelIndexList = dataOut.channelIndexList | |
| 109 | else: |
|
109 | else: | |
| 110 | channelIndexList = [] |
|
110 | channelIndexList = [] | |
| 111 | for channel in channelList: |
|
111 | for channel in channelList: | |
| 112 | if channel not in dataOut.channelList: |
|
112 | if channel not in dataOut.channelList: | |
| 113 | raise ValueError, "Channel %d is not in dataOut.channelList" %channel |
|
113 | raise ValueError, "Channel %d is not in dataOut.channelList" %channel | |
| 114 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
114 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 115 |
|
115 | |||
| 116 | # if normFactor is None: |
|
116 | # if normFactor is None: | |
| 117 | # factor = dataOut.normFactor |
|
117 | # factor = dataOut.normFactor | |
| 118 | # else: |
|
118 | # else: | |
| 119 | # factor = normFactor |
|
119 | # factor = normFactor | |
| 120 | if xaxis == "frequency": |
|
120 | if xaxis == "frequency": | |
| 121 | x = dataOut.spc_range[0] |
|
121 | x = dataOut.spcparam_range[0] | |
| 122 | xlabel = "Frequency (kHz)" |
|
122 | xlabel = "Frequency (kHz)" | |
| 123 |
|
123 | |||
| 124 | elif xaxis == "time": |
|
124 | elif xaxis == "time": | |
| 125 | x = dataOut.spc_range[1] |
|
125 | x = dataOut.spcparam_range[1] | |
| 126 | xlabel = "Time (ms)" |
|
126 | xlabel = "Time (ms)" | |
| 127 |
|
127 | |||
| 128 | else: |
|
128 | else: | |
| 129 | x = dataOut.spc_range[2] |
|
129 | x = dataOut.spcparam_range[2] | |
| 130 | xlabel = "Velocity (m/s)" |
|
130 | xlabel = "Velocity (m/s)" | |
| 131 |
|
131 | |||
| 132 | ylabel = "Range (Km)" |
|
132 | ylabel = "Range (Km)" | |
| 133 |
|
133 | |||
| 134 | y = dataOut.getHeiRange() |
|
134 | y = dataOut.getHeiRange() | |
| 135 |
|
135 | |||
| 136 |
z = dataOut. |
|
136 | z = dataOut.SPCparam[Selector] #GauSelector] #dataOut.data_spc/factor | |
| 137 | print 'GausSPC', z[0,32,10:40] |
|
137 | #print 'GausSPC', z[0,32,10:40] | |
| 138 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
138 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 139 | zdB = 10*numpy.log10(z) |
|
139 | zdB = 10*numpy.log10(z) | |
| 140 |
|
140 | |||
| 141 | avg = numpy.average(z, axis=1) |
|
141 | avg = numpy.average(z, axis=1) | |
| 142 | avgdB = 10*numpy.log10(avg) |
|
142 | avgdB = 10*numpy.log10(avg) | |
| 143 |
|
143 | |||
| 144 | noise = dataOut.spc_noise |
|
144 | noise = dataOut.spc_noise | |
| 145 | noisedB = 10*numpy.log10(noise) |
|
145 | noisedB = 10*numpy.log10(noise) | |
| 146 |
|
146 | |||
| 147 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
147 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 148 | title = wintitle + " Spectra" |
|
148 | title = wintitle + " Spectra" | |
| 149 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
149 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 150 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
150 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) | |
| 151 |
|
151 | |||
| 152 | if not self.isConfig: |
|
152 | if not self.isConfig: | |
| 153 |
|
153 | |||
| 154 | nplots = len(channelIndexList) |
|
154 | nplots = len(channelIndexList) | |
| 155 |
|
155 | |||
| 156 | self.setup(id=id, |
|
156 | self.setup(id=id, | |
| 157 | nplots=nplots, |
|
157 | nplots=nplots, | |
| 158 | wintitle=wintitle, |
|
158 | wintitle=wintitle, | |
| 159 | showprofile=showprofile, |
|
159 | showprofile=showprofile, | |
| 160 | show=show) |
|
160 | show=show) | |
| 161 |
|
161 | |||
| 162 | if xmin == None: xmin = numpy.nanmin(x) |
|
162 | if xmin == None: xmin = numpy.nanmin(x) | |
| 163 | if xmax == None: xmax = numpy.nanmax(x) |
|
163 | if xmax == None: xmax = numpy.nanmax(x) | |
| 164 | if ymin == None: ymin = numpy.nanmin(y) |
|
164 | if ymin == None: ymin = numpy.nanmin(y) | |
| 165 | if ymax == None: ymax = numpy.nanmax(y) |
|
165 | if ymax == None: ymax = numpy.nanmax(y) | |
| 166 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
166 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 | |
| 167 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
167 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 | |
| 168 |
|
168 | |||
| 169 | self.FTP_WEI = ftp_wei |
|
169 | self.FTP_WEI = ftp_wei | |
| 170 | self.EXP_CODE = exp_code |
|
170 | self.EXP_CODE = exp_code | |
| 171 | self.SUB_EXP_CODE = sub_exp_code |
|
171 | self.SUB_EXP_CODE = sub_exp_code | |
| 172 | self.PLOT_POS = plot_pos |
|
172 | self.PLOT_POS = plot_pos | |
| 173 |
|
173 | |||
| 174 | self.isConfig = True |
|
174 | self.isConfig = True | |
| 175 |
|
175 | |||
| 176 | self.setWinTitle(title) |
|
176 | self.setWinTitle(title) | |
| 177 |
|
177 | |||
| 178 | for i in range(self.nplots): |
|
178 | for i in range(self.nplots): | |
| 179 | index = channelIndexList[i] |
|
179 | index = channelIndexList[i] | |
| 180 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
180 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 181 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) |
|
181 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) | |
| 182 | if len(dataOut.beam.codeList) != 0: |
|
182 | if len(dataOut.beam.codeList) != 0: | |
| 183 | title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[index], noisedB[index], dataOut.beam.azimuthList[index], dataOut.beam.zenithList[index], str_datetime) |
|
183 | title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[index], noisedB[index], dataOut.beam.azimuthList[index], dataOut.beam.zenithList[index], str_datetime) | |
| 184 |
|
184 | |||
| 185 | axes = self.axesList[i*self.__nsubplots] |
|
185 | axes = self.axesList[i*self.__nsubplots] | |
| 186 | axes.pcolor(x, y, zdB[index,:,:], |
|
186 | axes.pcolor(x, y, zdB[index,:,:], | |
| 187 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
187 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 188 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=colormap, |
|
188 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=colormap, | |
| 189 | ticksize=9, cblabel='') |
|
189 | ticksize=9, cblabel='') | |
| 190 |
|
190 | |||
| 191 | if self.__showprofile: |
|
191 | if self.__showprofile: | |
| 192 | axes = self.axesList[i*self.__nsubplots +1] |
|
192 | axes = self.axesList[i*self.__nsubplots +1] | |
| 193 | axes.pline(avgdB[index,:], y, |
|
193 | axes.pline(avgdB[index,:], y, | |
| 194 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
194 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
| 195 | xlabel='dB', ylabel='', title='', |
|
195 | xlabel='dB', ylabel='', title='', | |
| 196 | ytick_visible=False, |
|
196 | ytick_visible=False, | |
| 197 | grid='x') |
|
197 | grid='x') | |
| 198 |
|
198 | |||
| 199 | noiseline = numpy.repeat(noisedB[index], len(y)) |
|
199 | noiseline = numpy.repeat(noisedB[index], len(y)) | |
| 200 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
200 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) | |
| 201 |
|
201 | |||
| 202 | self.draw() |
|
202 | self.draw() | |
| 203 |
|
203 | |||
| 204 | if figfile == None: |
|
204 | if figfile == None: | |
| 205 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
205 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 206 | name = str_datetime |
|
206 | name = str_datetime | |
| 207 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
207 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 208 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
208 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) | |
| 209 | figfile = self.getFilename(name) |
|
209 | figfile = self.getFilename(name) | |
| 210 |
|
210 | |||
| 211 | self.save(figpath=figpath, |
|
211 | self.save(figpath=figpath, | |
| 212 | figfile=figfile, |
|
212 | figfile=figfile, | |
| 213 | save=save, |
|
213 | save=save, | |
| 214 | ftp=ftp, |
|
214 | ftp=ftp, | |
| 215 | wr_period=wr_period, |
|
215 | wr_period=wr_period, | |
| 216 | thisDatetime=thisDatetime) |
|
216 | thisDatetime=thisDatetime) | |
| 217 |
|
217 | |||
| 218 |
|
218 | |||
| 219 |
|
219 | |||
| 220 | class MomentsPlot(Figure): |
|
220 | class MomentsPlot(Figure): | |
| 221 |
|
221 | |||
| 222 | isConfig = None |
|
222 | isConfig = None | |
| 223 | __nsubplots = None |
|
223 | __nsubplots = None | |
| 224 |
|
224 | |||
| 225 | WIDTHPROF = None |
|
225 | WIDTHPROF = None | |
| 226 | HEIGHTPROF = None |
|
226 | HEIGHTPROF = None | |
| 227 | PREFIX = 'prm' |
|
227 | PREFIX = 'prm' | |
| 228 |
|
228 | |||
| 229 | def __init__(self, **kwargs): |
|
229 | def __init__(self, **kwargs): | |
| 230 | Figure.__init__(self, **kwargs) |
|
230 | Figure.__init__(self, **kwargs) | |
| 231 | self.isConfig = False |
|
231 | self.isConfig = False | |
| 232 | self.__nsubplots = 1 |
|
232 | self.__nsubplots = 1 | |
| 233 |
|
233 | |||
| 234 | self.WIDTH = 280 |
|
234 | self.WIDTH = 280 | |
| 235 | self.HEIGHT = 250 |
|
235 | self.HEIGHT = 250 | |
| 236 | self.WIDTHPROF = 120 |
|
236 | self.WIDTHPROF = 120 | |
| 237 | self.HEIGHTPROF = 0 |
|
237 | self.HEIGHTPROF = 0 | |
| 238 | self.counter_imagwr = 0 |
|
238 | self.counter_imagwr = 0 | |
| 239 |
|
239 | |||
| 240 | self.PLOT_CODE = MOMENTS_CODE |
|
240 | self.PLOT_CODE = MOMENTS_CODE | |
| 241 |
|
241 | |||
| 242 | self.FTP_WEI = None |
|
242 | self.FTP_WEI = None | |
| 243 | self.EXP_CODE = None |
|
243 | self.EXP_CODE = None | |
| 244 | self.SUB_EXP_CODE = None |
|
244 | self.SUB_EXP_CODE = None | |
| 245 | self.PLOT_POS = None |
|
245 | self.PLOT_POS = None | |
| 246 |
|
246 | |||
| 247 | def getSubplots(self): |
|
247 | def getSubplots(self): | |
| 248 |
|
248 | |||
| 249 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
249 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
| 250 | nrow = int(self.nplots*1./ncol + 0.9) |
|
250 | nrow = int(self.nplots*1./ncol + 0.9) | |
| 251 |
|
251 | |||
| 252 | return nrow, ncol |
|
252 | return nrow, ncol | |
| 253 |
|
253 | |||
| 254 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
254 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 255 |
|
255 | |||
| 256 | self.__showprofile = showprofile |
|
256 | self.__showprofile = showprofile | |
| 257 | self.nplots = nplots |
|
257 | self.nplots = nplots | |
| 258 |
|
258 | |||
| 259 | ncolspan = 1 |
|
259 | ncolspan = 1 | |
| 260 | colspan = 1 |
|
260 | colspan = 1 | |
| 261 | if showprofile: |
|
261 | if showprofile: | |
| 262 | ncolspan = 3 |
|
262 | ncolspan = 3 | |
| 263 | colspan = 2 |
|
263 | colspan = 2 | |
| 264 | self.__nsubplots = 2 |
|
264 | self.__nsubplots = 2 | |
| 265 |
|
265 | |||
| 266 | self.createFigure(id = id, |
|
266 | self.createFigure(id = id, | |
| 267 | wintitle = wintitle, |
|
267 | wintitle = wintitle, | |
| 268 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
268 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 269 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
269 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 270 | show=show) |
|
270 | show=show) | |
| 271 |
|
271 | |||
| 272 | nrow, ncol = self.getSubplots() |
|
272 | nrow, ncol = self.getSubplots() | |
| 273 |
|
273 | |||
| 274 | counter = 0 |
|
274 | counter = 0 | |
| 275 | for y in range(nrow): |
|
275 | for y in range(nrow): | |
| 276 | for x in range(ncol): |
|
276 | for x in range(ncol): | |
| 277 |
|
277 | |||
| 278 | if counter >= self.nplots: |
|
278 | if counter >= self.nplots: | |
| 279 | break |
|
279 | break | |
| 280 |
|
280 | |||
| 281 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
281 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 282 |
|
282 | |||
| 283 | if showprofile: |
|
283 | if showprofile: | |
| 284 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
284 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 285 |
|
285 | |||
| 286 | counter += 1 |
|
286 | counter += 1 | |
| 287 |
|
287 | |||
| 288 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
288 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, | |
| 289 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
289 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 290 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
290 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 291 | server=None, folder=None, username=None, password=None, |
|
291 | server=None, folder=None, username=None, password=None, | |
| 292 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): |
|
292 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): | |
| 293 |
|
293 | |||
| 294 | """ |
|
294 | """ | |
| 295 |
|
295 | |||
| 296 | Input: |
|
296 | Input: | |
| 297 | dataOut : |
|
297 | dataOut : | |
| 298 | id : |
|
298 | id : | |
| 299 | wintitle : |
|
299 | wintitle : | |
| 300 | channelList : |
|
300 | channelList : | |
| 301 | showProfile : |
|
301 | showProfile : | |
| 302 | xmin : None, |
|
302 | xmin : None, | |
| 303 | xmax : None, |
|
303 | xmax : None, | |
| 304 | ymin : None, |
|
304 | ymin : None, | |
| 305 | ymax : None, |
|
305 | ymax : None, | |
| 306 | zmin : None, |
|
306 | zmin : None, | |
| 307 | zmax : None |
|
307 | zmax : None | |
| 308 | """ |
|
308 | """ | |
| 309 |
|
309 | |||
| 310 | if dataOut.flagNoData: |
|
310 | if dataOut.flagNoData: | |
| 311 | return None |
|
311 | return None | |
| 312 |
|
312 | |||
| 313 | if realtime: |
|
313 | if realtime: | |
| 314 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
314 | if not(isRealtime(utcdatatime = dataOut.utctime)): | |
| 315 | print 'Skipping this plot function' |
|
315 | print 'Skipping this plot function' | |
| 316 | return |
|
316 | return | |
| 317 |
|
317 | |||
| 318 | if channelList == None: |
|
318 | if channelList == None: | |
| 319 | channelIndexList = dataOut.channelIndexList |
|
319 | channelIndexList = dataOut.channelIndexList | |
| 320 | else: |
|
320 | else: | |
| 321 | channelIndexList = [] |
|
321 | channelIndexList = [] | |
| 322 | for channel in channelList: |
|
322 | for channel in channelList: | |
| 323 | if channel not in dataOut.channelList: |
|
323 | if channel not in dataOut.channelList: | |
| 324 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
324 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 325 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
325 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 326 |
|
326 | |||
| 327 | factor = dataOut.normFactor |
|
327 | factor = dataOut.normFactor | |
| 328 | x = dataOut.abscissaList |
|
328 | x = dataOut.abscissaList | |
| 329 | y = dataOut.heightList |
|
329 | y = dataOut.heightList | |
| 330 |
|
330 | |||
| 331 | z = dataOut.data_pre[channelIndexList,:,:]/factor |
|
331 | z = dataOut.data_pre[channelIndexList,:,:]/factor | |
| 332 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
332 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 333 | avg = numpy.average(z, axis=1) |
|
333 | avg = numpy.average(z, axis=1) | |
| 334 | noise = dataOut.noise/factor |
|
334 | noise = dataOut.noise/factor | |
| 335 |
|
335 | |||
| 336 | zdB = 10*numpy.log10(z) |
|
336 | zdB = 10*numpy.log10(z) | |
| 337 | avgdB = 10*numpy.log10(avg) |
|
337 | avgdB = 10*numpy.log10(avg) | |
| 338 | noisedB = 10*numpy.log10(noise) |
|
338 | noisedB = 10*numpy.log10(noise) | |
| 339 |
|
339 | |||
| 340 | #thisDatetime = dataOut.datatime |
|
340 | #thisDatetime = dataOut.datatime | |
| 341 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
341 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 342 | title = wintitle + " Parameters" |
|
342 | title = wintitle + " Parameters" | |
| 343 | xlabel = "Velocity (m/s)" |
|
343 | xlabel = "Velocity (m/s)" | |
| 344 | ylabel = "Range (Km)" |
|
344 | ylabel = "Range (Km)" | |
| 345 |
|
345 | |||
| 346 | update_figfile = False |
|
346 | update_figfile = False | |
| 347 |
|
347 | |||
| 348 | if not self.isConfig: |
|
348 | if not self.isConfig: | |
| 349 |
|
349 | |||
| 350 | nplots = len(channelIndexList) |
|
350 | nplots = len(channelIndexList) | |
| 351 |
|
351 | |||
| 352 | self.setup(id=id, |
|
352 | self.setup(id=id, | |
| 353 | nplots=nplots, |
|
353 | nplots=nplots, | |
| 354 | wintitle=wintitle, |
|
354 | wintitle=wintitle, | |
| 355 | showprofile=showprofile, |
|
355 | showprofile=showprofile, | |
| 356 | show=show) |
|
356 | show=show) | |
| 357 |
|
357 | |||
| 358 | if xmin == None: xmin = numpy.nanmin(x) |
|
358 | if xmin == None: xmin = numpy.nanmin(x) | |
| 359 | if xmax == None: xmax = numpy.nanmax(x) |
|
359 | if xmax == None: xmax = numpy.nanmax(x) | |
| 360 | if ymin == None: ymin = numpy.nanmin(y) |
|
360 | if ymin == None: ymin = numpy.nanmin(y) | |
| 361 | if ymax == None: ymax = numpy.nanmax(y) |
|
361 | if ymax == None: ymax = numpy.nanmax(y) | |
| 362 | if zmin == None: zmin = numpy.nanmin(avgdB)*0.9 |
|
362 | if zmin == None: zmin = numpy.nanmin(avgdB)*0.9 | |
| 363 | if zmax == None: zmax = numpy.nanmax(avgdB)*0.9 |
|
363 | if zmax == None: zmax = numpy.nanmax(avgdB)*0.9 | |
| 364 |
|
364 | |||
| 365 | self.FTP_WEI = ftp_wei |
|
365 | self.FTP_WEI = ftp_wei | |
| 366 | self.EXP_CODE = exp_code |
|
366 | self.EXP_CODE = exp_code | |
| 367 | self.SUB_EXP_CODE = sub_exp_code |
|
367 | self.SUB_EXP_CODE = sub_exp_code | |
| 368 | self.PLOT_POS = plot_pos |
|
368 | self.PLOT_POS = plot_pos | |
| 369 |
|
369 | |||
| 370 | self.isConfig = True |
|
370 | self.isConfig = True | |
| 371 | update_figfile = True |
|
371 | update_figfile = True | |
| 372 |
|
372 | |||
| 373 | self.setWinTitle(title) |
|
373 | self.setWinTitle(title) | |
| 374 |
|
374 | |||
| 375 | for i in range(self.nplots): |
|
375 | for i in range(self.nplots): | |
| 376 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
376 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 377 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i], noisedB[i], str_datetime) |
|
377 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i], noisedB[i], str_datetime) | |
| 378 | axes = self.axesList[i*self.__nsubplots] |
|
378 | axes = self.axesList[i*self.__nsubplots] | |
| 379 | axes.pcolor(x, y, zdB[i,:,:], |
|
379 | axes.pcolor(x, y, zdB[i,:,:], | |
| 380 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
380 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 381 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
381 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 382 | ticksize=9, cblabel='') |
|
382 | ticksize=9, cblabel='') | |
| 383 | #Mean Line |
|
383 | #Mean Line | |
| 384 | mean = dataOut.data_param[i, 1, :] |
|
384 | mean = dataOut.data_param[i, 1, :] | |
| 385 | axes.addpline(mean, y, idline=0, color="black", linestyle="solid", lw=1) |
|
385 | axes.addpline(mean, y, idline=0, color="black", linestyle="solid", lw=1) | |
| 386 |
|
386 | |||
| 387 | if self.__showprofile: |
|
387 | if self.__showprofile: | |
| 388 | axes = self.axesList[i*self.__nsubplots +1] |
|
388 | axes = self.axesList[i*self.__nsubplots +1] | |
| 389 | axes.pline(avgdB[i], y, |
|
389 | axes.pline(avgdB[i], y, | |
| 390 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
390 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
| 391 | xlabel='dB', ylabel='', title='', |
|
391 | xlabel='dB', ylabel='', title='', | |
| 392 | ytick_visible=False, |
|
392 | ytick_visible=False, | |
| 393 | grid='x') |
|
393 | grid='x') | |
| 394 |
|
394 | |||
| 395 | noiseline = numpy.repeat(noisedB[i], len(y)) |
|
395 | noiseline = numpy.repeat(noisedB[i], len(y)) | |
| 396 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
396 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) | |
| 397 |
|
397 | |||
| 398 | self.draw() |
|
398 | self.draw() | |
| 399 |
|
399 | |||
| 400 | self.save(figpath=figpath, |
|
400 | self.save(figpath=figpath, | |
| 401 | figfile=figfile, |
|
401 | figfile=figfile, | |
| 402 | save=save, |
|
402 | save=save, | |
| 403 | ftp=ftp, |
|
403 | ftp=ftp, | |
| 404 | wr_period=wr_period, |
|
404 | wr_period=wr_period, | |
| 405 | thisDatetime=thisDatetime) |
|
405 | thisDatetime=thisDatetime) | |
| 406 |
|
406 | |||
| 407 |
|
407 | |||
| 408 |
|
408 | |||
| 409 | class SkyMapPlot(Figure): |
|
409 | class SkyMapPlot(Figure): | |
| 410 |
|
410 | |||
| 411 | __isConfig = None |
|
411 | __isConfig = None | |
| 412 | __nsubplots = None |
|
412 | __nsubplots = None | |
| 413 |
|
413 | |||
| 414 | WIDTHPROF = None |
|
414 | WIDTHPROF = None | |
| 415 | HEIGHTPROF = None |
|
415 | HEIGHTPROF = None | |
| 416 | PREFIX = 'mmap' |
|
416 | PREFIX = 'mmap' | |
| 417 |
|
417 | |||
| 418 | def __init__(self, **kwargs): |
|
418 | def __init__(self, **kwargs): | |
| 419 | Figure.__init__(self, **kwargs) |
|
419 | Figure.__init__(self, **kwargs) | |
| 420 | self.isConfig = False |
|
420 | self.isConfig = False | |
| 421 | self.__nsubplots = 1 |
|
421 | self.__nsubplots = 1 | |
| 422 |
|
422 | |||
| 423 | # self.WIDTH = 280 |
|
423 | # self.WIDTH = 280 | |
| 424 | # self.HEIGHT = 250 |
|
424 | # self.HEIGHT = 250 | |
| 425 | self.WIDTH = 600 |
|
425 | self.WIDTH = 600 | |
| 426 | self.HEIGHT = 600 |
|
426 | self.HEIGHT = 600 | |
| 427 | self.WIDTHPROF = 120 |
|
427 | self.WIDTHPROF = 120 | |
| 428 | self.HEIGHTPROF = 0 |
|
428 | self.HEIGHTPROF = 0 | |
| 429 | self.counter_imagwr = 0 |
|
429 | self.counter_imagwr = 0 | |
| 430 |
|
430 | |||
| 431 | self.PLOT_CODE = MSKYMAP_CODE |
|
431 | self.PLOT_CODE = MSKYMAP_CODE | |
| 432 |
|
432 | |||
| 433 | self.FTP_WEI = None |
|
433 | self.FTP_WEI = None | |
| 434 | self.EXP_CODE = None |
|
434 | self.EXP_CODE = None | |
| 435 | self.SUB_EXP_CODE = None |
|
435 | self.SUB_EXP_CODE = None | |
| 436 | self.PLOT_POS = None |
|
436 | self.PLOT_POS = None | |
| 437 |
|
437 | |||
| 438 | def getSubplots(self): |
|
438 | def getSubplots(self): | |
| 439 |
|
439 | |||
| 440 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
440 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
| 441 | nrow = int(self.nplots*1./ncol + 0.9) |
|
441 | nrow = int(self.nplots*1./ncol + 0.9) | |
| 442 |
|
442 | |||
| 443 | return nrow, ncol |
|
443 | return nrow, ncol | |
| 444 |
|
444 | |||
| 445 | def setup(self, id, nplots, wintitle, showprofile=False, show=True): |
|
445 | def setup(self, id, nplots, wintitle, showprofile=False, show=True): | |
| 446 |
|
446 | |||
| 447 | self.__showprofile = showprofile |
|
447 | self.__showprofile = showprofile | |
| 448 | self.nplots = nplots |
|
448 | self.nplots = nplots | |
| 449 |
|
449 | |||
| 450 | ncolspan = 1 |
|
450 | ncolspan = 1 | |
| 451 | colspan = 1 |
|
451 | colspan = 1 | |
| 452 |
|
452 | |||
| 453 | self.createFigure(id = id, |
|
453 | self.createFigure(id = id, | |
| 454 | wintitle = wintitle, |
|
454 | wintitle = wintitle, | |
| 455 | widthplot = self.WIDTH, #+ self.WIDTHPROF, |
|
455 | widthplot = self.WIDTH, #+ self.WIDTHPROF, | |
| 456 | heightplot = self.HEIGHT,# + self.HEIGHTPROF, |
|
456 | heightplot = self.HEIGHT,# + self.HEIGHTPROF, | |
| 457 | show=show) |
|
457 | show=show) | |
| 458 |
|
458 | |||
| 459 | nrow, ncol = 1,1 |
|
459 | nrow, ncol = 1,1 | |
| 460 | counter = 0 |
|
460 | counter = 0 | |
| 461 | x = 0 |
|
461 | x = 0 | |
| 462 | y = 0 |
|
462 | y = 0 | |
| 463 | self.addAxes(1, 1, 0, 0, 1, 1, True) |
|
463 | self.addAxes(1, 1, 0, 0, 1, 1, True) | |
| 464 |
|
464 | |||
| 465 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, |
|
465 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, | |
| 466 | tmin=0, tmax=24, timerange=None, |
|
466 | tmin=0, tmax=24, timerange=None, | |
| 467 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
467 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 468 | server=None, folder=None, username=None, password=None, |
|
468 | server=None, folder=None, username=None, password=None, | |
| 469 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): |
|
469 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False): | |
| 470 |
|
470 | |||
| 471 | """ |
|
471 | """ | |
| 472 |
|
472 | |||
| 473 | Input: |
|
473 | Input: | |
| 474 | dataOut : |
|
474 | dataOut : | |
| 475 | id : |
|
475 | id : | |
| 476 | wintitle : |
|
476 | wintitle : | |
| 477 | channelList : |
|
477 | channelList : | |
| 478 | showProfile : |
|
478 | showProfile : | |
| 479 | xmin : None, |
|
479 | xmin : None, | |
| 480 | xmax : None, |
|
480 | xmax : None, | |
| 481 | ymin : None, |
|
481 | ymin : None, | |
| 482 | ymax : None, |
|
482 | ymax : None, | |
| 483 | zmin : None, |
|
483 | zmin : None, | |
| 484 | zmax : None |
|
484 | zmax : None | |
| 485 | """ |
|
485 | """ | |
| 486 |
|
486 | |||
| 487 | arrayParameters = dataOut.data_param |
|
487 | arrayParameters = dataOut.data_param | |
| 488 | error = arrayParameters[:,-1] |
|
488 | error = arrayParameters[:,-1] | |
| 489 | indValid = numpy.where(error == 0)[0] |
|
489 | indValid = numpy.where(error == 0)[0] | |
| 490 | finalMeteor = arrayParameters[indValid,:] |
|
490 | finalMeteor = arrayParameters[indValid,:] | |
| 491 | finalAzimuth = finalMeteor[:,3] |
|
491 | finalAzimuth = finalMeteor[:,3] | |
| 492 | finalZenith = finalMeteor[:,4] |
|
492 | finalZenith = finalMeteor[:,4] | |
| 493 |
|
493 | |||
| 494 | x = finalAzimuth*numpy.pi/180 |
|
494 | x = finalAzimuth*numpy.pi/180 | |
| 495 | y = finalZenith |
|
495 | y = finalZenith | |
| 496 | x1 = [dataOut.ltctime, dataOut.ltctime] |
|
496 | x1 = [dataOut.ltctime, dataOut.ltctime] | |
| 497 |
|
497 | |||
| 498 | #thisDatetime = dataOut.datatime |
|
498 | #thisDatetime = dataOut.datatime | |
| 499 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
499 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) | |
| 500 | title = wintitle + " Parameters" |
|
500 | title = wintitle + " Parameters" | |
| 501 | xlabel = "Zonal Zenith Angle (deg) " |
|
501 | xlabel = "Zonal Zenith Angle (deg) " | |
| 502 | ylabel = "Meridional Zenith Angle (deg)" |
|
502 | ylabel = "Meridional Zenith Angle (deg)" | |
| 503 | update_figfile = False |
|
503 | update_figfile = False | |
| 504 |
|
504 | |||
| 505 | if not self.isConfig: |
|
505 | if not self.isConfig: | |
| 506 |
|
506 | |||
| 507 | nplots = 1 |
|
507 | nplots = 1 | |
| 508 |
|
508 | |||
| 509 | self.setup(id=id, |
|
509 | self.setup(id=id, | |
| 510 | nplots=nplots, |
|
510 | nplots=nplots, | |
| 511 | wintitle=wintitle, |
|
511 | wintitle=wintitle, | |
| 512 | showprofile=showprofile, |
|
512 | showprofile=showprofile, | |
| 513 | show=show) |
|
513 | show=show) | |
| 514 |
|
514 | |||
| 515 | if self.xmin is None and self.xmax is None: |
|
515 | if self.xmin is None and self.xmax is None: | |
| 516 | self.xmin, self.xmax = self.getTimeLim(x1, tmin, tmax, timerange) |
|
516 | self.xmin, self.xmax = self.getTimeLim(x1, tmin, tmax, timerange) | |
| 517 |
|
517 | |||
| 518 | if timerange != None: |
|
518 | if timerange != None: | |
| 519 | self.timerange = timerange |
|
519 | self.timerange = timerange | |
| 520 | else: |
|
520 | else: | |
| 521 | self.timerange = self.xmax - self.xmin |
|
521 | self.timerange = self.xmax - self.xmin | |
| 522 |
|
522 | |||
| 523 | self.FTP_WEI = ftp_wei |
|
523 | self.FTP_WEI = ftp_wei | |
| 524 | self.EXP_CODE = exp_code |
|
524 | self.EXP_CODE = exp_code | |
| 525 | self.SUB_EXP_CODE = sub_exp_code |
|
525 | self.SUB_EXP_CODE = sub_exp_code | |
| 526 | self.PLOT_POS = plot_pos |
|
526 | self.PLOT_POS = plot_pos | |
| 527 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
527 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 528 | self.firstdate = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
528 | self.firstdate = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 529 | self.isConfig = True |
|
529 | self.isConfig = True | |
| 530 | update_figfile = True |
|
530 | update_figfile = True | |
| 531 |
|
531 | |||
| 532 | self.setWinTitle(title) |
|
532 | self.setWinTitle(title) | |
| 533 |
|
533 | |||
| 534 | i = 0 |
|
534 | i = 0 | |
| 535 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
535 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 536 |
|
536 | |||
| 537 | axes = self.axesList[i*self.__nsubplots] |
|
537 | axes = self.axesList[i*self.__nsubplots] | |
| 538 | nevents = axes.x_buffer.shape[0] + x.shape[0] |
|
538 | nevents = axes.x_buffer.shape[0] + x.shape[0] | |
| 539 | title = "Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n" %(self.firstdate,str_datetime,nevents) |
|
539 | title = "Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n" %(self.firstdate,str_datetime,nevents) | |
| 540 | axes.polar(x, y, |
|
540 | axes.polar(x, y, | |
| 541 | title=title, xlabel=xlabel, ylabel=ylabel, |
|
541 | title=title, xlabel=xlabel, ylabel=ylabel, | |
| 542 | ticksize=9, cblabel='') |
|
542 | ticksize=9, cblabel='') | |
| 543 |
|
543 | |||
| 544 | self.draw() |
|
544 | self.draw() | |
| 545 |
|
545 | |||
| 546 | self.save(figpath=figpath, |
|
546 | self.save(figpath=figpath, | |
| 547 | figfile=figfile, |
|
547 | figfile=figfile, | |
| 548 | save=save, |
|
548 | save=save, | |
| 549 | ftp=ftp, |
|
549 | ftp=ftp, | |
| 550 | wr_period=wr_period, |
|
550 | wr_period=wr_period, | |
| 551 | thisDatetime=thisDatetime, |
|
551 | thisDatetime=thisDatetime, | |
| 552 | update_figfile=update_figfile) |
|
552 | update_figfile=update_figfile) | |
| 553 |
|
553 | |||
| 554 | if dataOut.ltctime >= self.xmax: |
|
554 | if dataOut.ltctime >= self.xmax: | |
| 555 | self.isConfigmagwr = wr_period |
|
555 | self.isConfigmagwr = wr_period | |
| 556 | self.isConfig = False |
|
556 | self.isConfig = False | |
| 557 | update_figfile = True |
|
557 | update_figfile = True | |
| 558 | axes.__firsttime = True |
|
558 | axes.__firsttime = True | |
| 559 | self.xmin += self.timerange |
|
559 | self.xmin += self.timerange | |
| 560 | self.xmax += self.timerange |
|
560 | self.xmax += self.timerange | |
| 561 |
|
561 | |||
| 562 |
|
562 | |||
| 563 |
|
563 | |||
| 564 |
|
564 | |||
| 565 | class WindProfilerPlot(Figure): |
|
565 | class WindProfilerPlot(Figure): | |
| 566 |
|
566 | |||
| 567 | __isConfig = None |
|
567 | __isConfig = None | |
| 568 | __nsubplots = None |
|
568 | __nsubplots = None | |
| 569 |
|
569 | |||
| 570 | WIDTHPROF = None |
|
570 | WIDTHPROF = None | |
| 571 | HEIGHTPROF = None |
|
571 | HEIGHTPROF = None | |
| 572 | PREFIX = 'wind' |
|
572 | PREFIX = 'wind' | |
| 573 |
|
573 | |||
| 574 | def __init__(self, **kwargs): |
|
574 | def __init__(self, **kwargs): | |
| 575 | Figure.__init__(self, **kwargs) |
|
575 | Figure.__init__(self, **kwargs) | |
| 576 | self.timerange = None |
|
576 | self.timerange = None | |
| 577 | self.isConfig = False |
|
577 | self.isConfig = False | |
| 578 | self.__nsubplots = 1 |
|
578 | self.__nsubplots = 1 | |
| 579 |
|
579 | |||
| 580 | self.WIDTH = 800 |
|
580 | self.WIDTH = 800 | |
| 581 | self.HEIGHT = 300 |
|
581 | self.HEIGHT = 300 | |
| 582 | self.WIDTHPROF = 120 |
|
582 | self.WIDTHPROF = 120 | |
| 583 | self.HEIGHTPROF = 0 |
|
583 | self.HEIGHTPROF = 0 | |
| 584 | self.counter_imagwr = 0 |
|
584 | self.counter_imagwr = 0 | |
| 585 |
|
585 | |||
| 586 | self.PLOT_CODE = WIND_CODE |
|
586 | self.PLOT_CODE = WIND_CODE | |
| 587 |
|
587 | |||
| 588 | self.FTP_WEI = None |
|
588 | self.FTP_WEI = None | |
| 589 | self.EXP_CODE = None |
|
589 | self.EXP_CODE = None | |
| 590 | self.SUB_EXP_CODE = None |
|
590 | self.SUB_EXP_CODE = None | |
| 591 | self.PLOT_POS = None |
|
591 | self.PLOT_POS = None | |
| 592 | self.tmin = None |
|
592 | self.tmin = None | |
| 593 | self.tmax = None |
|
593 | self.tmax = None | |
| 594 |
|
594 | |||
| 595 | self.xmin = None |
|
595 | self.xmin = None | |
| 596 | self.xmax = None |
|
596 | self.xmax = None | |
| 597 |
|
597 | |||
| 598 | self.figfile = None |
|
598 | self.figfile = None | |
| 599 |
|
599 | |||
| 600 | def getSubplots(self): |
|
600 | def getSubplots(self): | |
| 601 |
|
601 | |||
| 602 | ncol = 1 |
|
602 | ncol = 1 | |
| 603 | nrow = self.nplots |
|
603 | nrow = self.nplots | |
| 604 |
|
604 | |||
| 605 | return nrow, ncol |
|
605 | return nrow, ncol | |
| 606 |
|
606 | |||
| 607 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
607 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 608 |
|
608 | |||
| 609 | self.__showprofile = showprofile |
|
609 | self.__showprofile = showprofile | |
| 610 | self.nplots = nplots |
|
610 | self.nplots = nplots | |
| 611 |
|
611 | |||
| 612 | ncolspan = 1 |
|
612 | ncolspan = 1 | |
| 613 | colspan = 1 |
|
613 | colspan = 1 | |
| 614 |
|
614 | |||
| 615 | self.createFigure(id = id, |
|
615 | self.createFigure(id = id, | |
| 616 | wintitle = wintitle, |
|
616 | wintitle = wintitle, | |
| 617 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
617 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 618 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
618 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 619 | show=show) |
|
619 | show=show) | |
| 620 |
|
620 | |||
| 621 | nrow, ncol = self.getSubplots() |
|
621 | nrow, ncol = self.getSubplots() | |
| 622 |
|
622 | |||
| 623 | counter = 0 |
|
623 | counter = 0 | |
| 624 | for y in range(nrow): |
|
624 | for y in range(nrow): | |
| 625 | if counter >= self.nplots: |
|
625 | if counter >= self.nplots: | |
| 626 | break |
|
626 | break | |
| 627 |
|
627 | |||
| 628 | self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1) |
|
628 | self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1) | |
| 629 | counter += 1 |
|
629 | counter += 1 | |
| 630 |
|
630 | |||
| 631 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='False', |
|
631 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='False', | |
| 632 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
632 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 633 | zmax_ver = None, zmin_ver = None, SNRmin = None, SNRmax = None, |
|
633 | zmax_ver = None, zmin_ver = None, SNRmin = None, SNRmax = None, | |
| 634 | timerange=None, SNRthresh = None, |
|
634 | timerange=None, SNRthresh = None, | |
| 635 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
635 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, | |
| 636 | server=None, folder=None, username=None, password=None, |
|
636 | server=None, folder=None, username=None, password=None, | |
| 637 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
637 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 638 | """ |
|
638 | """ | |
| 639 |
|
639 | |||
| 640 | Input: |
|
640 | Input: | |
| 641 | dataOut : |
|
641 | dataOut : | |
| 642 | id : |
|
642 | id : | |
| 643 | wintitle : |
|
643 | wintitle : | |
| 644 | channelList : |
|
644 | channelList : | |
| 645 | showProfile : |
|
645 | showProfile : | |
| 646 | xmin : None, |
|
646 | xmin : None, | |
| 647 | xmax : None, |
|
647 | xmax : None, | |
| 648 | ymin : None, |
|
648 | ymin : None, | |
| 649 | ymax : None, |
|
649 | ymax : None, | |
| 650 | zmin : None, |
|
650 | zmin : None, | |
| 651 | zmax : None |
|
651 | zmax : None | |
| 652 | """ |
|
652 | """ | |
| 653 |
|
653 | |||
| 654 | # if timerange is not None: |
|
654 | # if timerange is not None: | |
| 655 | # self.timerange = timerange |
|
655 | # self.timerange = timerange | |
| 656 | # |
|
656 | # | |
| 657 | # tmin = None |
|
657 | # tmin = None | |
| 658 | # tmax = None |
|
658 | # tmax = None | |
| 659 |
|
659 | |||
| 660 | x = dataOut.getTimeRange1(dataOut.paramInterval) |
|
660 | x = dataOut.getTimeRange1(dataOut.paramInterval) | |
| 661 | y = dataOut.heightList |
|
661 | y = dataOut.heightList | |
| 662 | z = dataOut.data_output.copy() |
|
662 | z = dataOut.data_output.copy() | |
| 663 | nplots = z.shape[0] #Number of wind dimensions estimated |
|
663 | nplots = z.shape[0] #Number of wind dimensions estimated | |
| 664 | nplotsw = nplots |
|
664 | nplotsw = nplots | |
| 665 |
|
665 | |||
| 666 |
|
666 | |||
| 667 | #If there is a SNR function defined |
|
667 | #If there is a SNR function defined | |
| 668 | if dataOut.data_SNR is not None: |
|
668 | if dataOut.data_SNR is not None: | |
| 669 | nplots += 1 |
|
669 | nplots += 1 | |
| 670 | SNR = dataOut.data_SNR[0] |
|
670 | SNR = dataOut.data_SNR[0] | |
| 671 | SNRavg = SNR#numpy.average(SNR, axis=0) |
|
671 | SNRavg = SNR#numpy.average(SNR, axis=0) | |
| 672 |
|
672 | |||
| 673 | SNRdB = 10*numpy.log10(SNR) |
|
673 | SNRdB = 10*numpy.log10(SNR) | |
| 674 | SNRavgdB = 10*numpy.log10(SNRavg) |
|
674 | SNRavgdB = 10*numpy.log10(SNRavg) | |
| 675 |
|
675 | |||
| 676 | if SNRthresh == None: |
|
676 | if SNRthresh == None: | |
| 677 | SNRthresh = -5.0 |
|
677 | SNRthresh = -5.0 | |
| 678 | ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0] |
|
678 | ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0] | |
| 679 |
|
679 | |||
| 680 | for i in range(nplotsw): |
|
680 | for i in range(nplotsw): | |
| 681 | z[i,ind] = numpy.nan |
|
681 | z[i,ind] = numpy.nan | |
| 682 |
|
682 | |||
| 683 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
683 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) | |
| 684 | #thisDatetime = datetime.datetime.now() |
|
684 | #thisDatetime = datetime.datetime.now() | |
| 685 | title = wintitle + "Wind" |
|
685 | title = wintitle + "Wind" | |
| 686 | xlabel = "" |
|
686 | xlabel = "" | |
| 687 | ylabel = "Height (km)" |
|
687 | ylabel = "Height (km)" | |
| 688 | update_figfile = False |
|
688 | update_figfile = False | |
| 689 |
|
689 | |||
| 690 | if not self.isConfig: |
|
690 | if not self.isConfig: | |
| 691 |
|
691 | |||
| 692 | self.setup(id=id, |
|
692 | self.setup(id=id, | |
| 693 | nplots=nplots, |
|
693 | nplots=nplots, | |
| 694 | wintitle=wintitle, |
|
694 | wintitle=wintitle, | |
| 695 | showprofile=showprofile, |
|
695 | showprofile=showprofile, | |
| 696 | show=show) |
|
696 | show=show) | |
| 697 |
|
697 | |||
| 698 | if timerange is not None: |
|
698 | if timerange is not None: | |
| 699 | self.timerange = timerange |
|
699 | self.timerange = timerange | |
| 700 |
|
700 | |||
| 701 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
701 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 702 |
|
702 | |||
| 703 | if ymin == None: ymin = numpy.nanmin(y) |
|
703 | if ymin == None: ymin = numpy.nanmin(y) | |
| 704 | if ymax == None: ymax = numpy.nanmax(y) |
|
704 | if ymax == None: ymax = numpy.nanmax(y) | |
| 705 |
|
705 | |||
| 706 | if zmax == None: zmax = numpy.nanmax(abs(z[range(2),:])) |
|
706 | if zmax == None: zmax = numpy.nanmax(abs(z[range(2),:])) | |
| 707 | #if numpy.isnan(zmax): zmax = 50 |
|
707 | #if numpy.isnan(zmax): zmax = 50 | |
| 708 | if zmin == None: zmin = -zmax |
|
708 | if zmin == None: zmin = -zmax | |
| 709 |
|
709 | |||
| 710 | if nplotsw == 3: |
|
710 | if nplotsw == 3: | |
| 711 | if zmax_ver == None: zmax_ver = numpy.nanmax(abs(z[2,:])) |
|
711 | if zmax_ver == None: zmax_ver = numpy.nanmax(abs(z[2,:])) | |
| 712 | if zmin_ver == None: zmin_ver = -zmax_ver |
|
712 | if zmin_ver == None: zmin_ver = -zmax_ver | |
| 713 |
|
713 | |||
| 714 | if dataOut.data_SNR is not None: |
|
714 | if dataOut.data_SNR is not None: | |
| 715 | if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB) |
|
715 | if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB) | |
| 716 | if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB) |
|
716 | if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB) | |
| 717 |
|
717 | |||
| 718 |
|
718 | |||
| 719 | self.FTP_WEI = ftp_wei |
|
719 | self.FTP_WEI = ftp_wei | |
| 720 | self.EXP_CODE = exp_code |
|
720 | self.EXP_CODE = exp_code | |
| 721 | self.SUB_EXP_CODE = sub_exp_code |
|
721 | self.SUB_EXP_CODE = sub_exp_code | |
| 722 | self.PLOT_POS = plot_pos |
|
722 | self.PLOT_POS = plot_pos | |
| 723 |
|
723 | |||
| 724 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
724 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 725 | self.isConfig = True |
|
725 | self.isConfig = True | |
| 726 | self.figfile = figfile |
|
726 | self.figfile = figfile | |
| 727 | update_figfile = True |
|
727 | update_figfile = True | |
| 728 |
|
728 | |||
| 729 | self.setWinTitle(title) |
|
729 | self.setWinTitle(title) | |
| 730 |
|
730 | |||
| 731 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
731 | if ((self.xmax - x[1]) < (x[1]-x[0])): | |
| 732 | x[1] = self.xmax |
|
732 | x[1] = self.xmax | |
| 733 |
|
733 | |||
| 734 | strWind = ['Zonal', 'Meridional', 'Vertical'] |
|
734 | strWind = ['Zonal', 'Meridional', 'Vertical'] | |
| 735 | strCb = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)'] |
|
735 | strCb = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)'] | |
| 736 | zmaxVector = [zmax, zmax, zmax_ver] |
|
736 | zmaxVector = [zmax, zmax, zmax_ver] | |
| 737 | zminVector = [zmin, zmin, zmin_ver] |
|
737 | zminVector = [zmin, zmin, zmin_ver] | |
| 738 | windFactor = [1,1,100] |
|
738 | windFactor = [1,1,100] | |
| 739 |
|
739 | |||
| 740 | for i in range(nplotsw): |
|
740 | for i in range(nplotsw): | |
| 741 |
|
741 | |||
| 742 | title = "%s Wind: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
742 | title = "%s Wind: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 743 | axes = self.axesList[i*self.__nsubplots] |
|
743 | axes = self.axesList[i*self.__nsubplots] | |
| 744 |
|
744 | |||
| 745 | z1 = z[i,:].reshape((1,-1))*windFactor[i] |
|
745 | z1 = z[i,:].reshape((1,-1))*windFactor[i] | |
| 746 |
|
746 | |||
| 747 | print 'x', x |
|
747 | print 'x', x | |
| 748 | print datetime.datetime.utcfromtimestamp(x[0]) |
|
748 | print datetime.datetime.utcfromtimestamp(x[0]) | |
| 749 | print datetime.datetime.utcfromtimestamp(x[1]) |
|
749 | print datetime.datetime.utcfromtimestamp(x[1]) | |
| 750 |
|
750 | |||
| 751 | #z1=numpy.ma.masked_where(z1==0.,z1) |
|
751 | #z1=numpy.ma.masked_where(z1==0.,z1) | |
| 752 |
|
752 | |||
| 753 | axes.pcolorbuffer(x, y, z1, |
|
753 | axes.pcolorbuffer(x, y, z1, | |
| 754 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i], |
|
754 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i], | |
| 755 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
755 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 756 | ticksize=9, cblabel=strCb[i], cbsize="1%", colormap="seismic" ) |
|
756 | ticksize=9, cblabel=strCb[i], cbsize="1%", colormap="seismic" ) | |
| 757 |
|
757 | |||
| 758 | if dataOut.data_SNR is not None: |
|
758 | if dataOut.data_SNR is not None: | |
| 759 | i += 1 |
|
759 | i += 1 | |
| 760 | title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
760 | title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 761 | axes = self.axesList[i*self.__nsubplots] |
|
761 | axes = self.axesList[i*self.__nsubplots] | |
| 762 | SNRavgdB = SNRavgdB.reshape((1,-1)) |
|
762 | SNRavgdB = SNRavgdB.reshape((1,-1)) | |
| 763 | axes.pcolorbuffer(x, y, SNRavgdB, |
|
763 | axes.pcolorbuffer(x, y, SNRavgdB, | |
| 764 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
764 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, | |
| 765 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
765 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 766 | ticksize=9, cblabel='', cbsize="1%", colormap="jet") |
|
766 | ticksize=9, cblabel='', cbsize="1%", colormap="jet") | |
| 767 |
|
767 | |||
| 768 | self.draw() |
|
768 | self.draw() | |
| 769 |
|
769 | |||
| 770 | self.save(figpath=figpath, |
|
770 | self.save(figpath=figpath, | |
| 771 | figfile=figfile, |
|
771 | figfile=figfile, | |
| 772 | save=save, |
|
772 | save=save, | |
| 773 | ftp=ftp, |
|
773 | ftp=ftp, | |
| 774 | wr_period=wr_period, |
|
774 | wr_period=wr_period, | |
| 775 | thisDatetime=thisDatetime, |
|
775 | thisDatetime=thisDatetime, | |
| 776 | update_figfile=update_figfile) |
|
776 | update_figfile=update_figfile) | |
| 777 |
|
777 | |||
| 778 | if dataOut.ltctime + dataOut.paramInterval >= self.xmax: |
|
778 | if dataOut.ltctime + dataOut.paramInterval >= self.xmax: | |
| 779 | self.counter_imagwr = wr_period |
|
779 | self.counter_imagwr = wr_period | |
| 780 | self.isConfig = False |
|
780 | self.isConfig = False | |
| 781 | update_figfile = True |
|
781 | update_figfile = True | |
| 782 |
|
782 | |||
| 783 |
|
783 | |||
| 784 | class ParametersPlot(Figure): |
|
784 | class ParametersPlot(Figure): | |
| 785 |
|
785 | |||
| 786 | __isConfig = None |
|
786 | __isConfig = None | |
| 787 | __nsubplots = None |
|
787 | __nsubplots = None | |
| 788 |
|
788 | |||
| 789 | WIDTHPROF = None |
|
789 | WIDTHPROF = None | |
| 790 | HEIGHTPROF = None |
|
790 | HEIGHTPROF = None | |
| 791 | PREFIX = 'param' |
|
791 | PREFIX = 'param' | |
| 792 |
|
792 | |||
| 793 | nplots = None |
|
793 | nplots = None | |
| 794 | nchan = None |
|
794 | nchan = None | |
| 795 |
|
795 | |||
| 796 | def __init__(self, **kwargs): |
|
796 | def __init__(self, **kwargs): | |
| 797 | Figure.__init__(self, **kwargs) |
|
797 | Figure.__init__(self, **kwargs) | |
| 798 | self.timerange = None |
|
798 | self.timerange = None | |
| 799 | self.isConfig = False |
|
799 | self.isConfig = False | |
| 800 | self.__nsubplots = 1 |
|
800 | self.__nsubplots = 1 | |
| 801 |
|
801 | |||
| 802 | self.WIDTH = 800 |
|
802 | self.WIDTH = 800 | |
| 803 | self.HEIGHT = 180 |
|
803 | self.HEIGHT = 180 | |
| 804 | self.WIDTHPROF = 120 |
|
804 | self.WIDTHPROF = 120 | |
| 805 | self.HEIGHTPROF = 0 |
|
805 | self.HEIGHTPROF = 0 | |
| 806 | self.counter_imagwr = 0 |
|
806 | self.counter_imagwr = 0 | |
| 807 |
|
807 | |||
| 808 | self.PLOT_CODE = RTI_CODE |
|
808 | self.PLOT_CODE = RTI_CODE | |
| 809 |
|
809 | |||
| 810 | self.FTP_WEI = None |
|
810 | self.FTP_WEI = None | |
| 811 | self.EXP_CODE = None |
|
811 | self.EXP_CODE = None | |
| 812 | self.SUB_EXP_CODE = None |
|
812 | self.SUB_EXP_CODE = None | |
| 813 | self.PLOT_POS = None |
|
813 | self.PLOT_POS = None | |
| 814 | self.tmin = None |
|
814 | self.tmin = None | |
| 815 | self.tmax = None |
|
815 | self.tmax = None | |
| 816 |
|
816 | |||
| 817 | self.xmin = None |
|
817 | self.xmin = None | |
| 818 | self.xmax = None |
|
818 | self.xmax = None | |
| 819 |
|
819 | |||
| 820 | self.figfile = None |
|
820 | self.figfile = None | |
| 821 |
|
821 | |||
| 822 | def getSubplots(self): |
|
822 | def getSubplots(self): | |
| 823 |
|
823 | |||
| 824 | ncol = 1 |
|
824 | ncol = 1 | |
| 825 | nrow = self.nplots |
|
825 | nrow = self.nplots | |
| 826 |
|
826 | |||
| 827 | return nrow, ncol |
|
827 | return nrow, ncol | |
| 828 |
|
828 | |||
| 829 | def setup(self, id, nplots, wintitle, show=True): |
|
829 | def setup(self, id, nplots, wintitle, show=True): | |
| 830 |
|
830 | |||
| 831 | self.nplots = nplots |
|
831 | self.nplots = nplots | |
| 832 |
|
832 | |||
| 833 | ncolspan = 1 |
|
833 | ncolspan = 1 | |
| 834 | colspan = 1 |
|
834 | colspan = 1 | |
| 835 |
|
835 | |||
| 836 | self.createFigure(id = id, |
|
836 | self.createFigure(id = id, | |
| 837 | wintitle = wintitle, |
|
837 | wintitle = wintitle, | |
| 838 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
838 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 839 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
839 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 840 | show=show) |
|
840 | show=show) | |
| 841 |
|
841 | |||
| 842 | nrow, ncol = self.getSubplots() |
|
842 | nrow, ncol = self.getSubplots() | |
| 843 |
|
843 | |||
| 844 | counter = 0 |
|
844 | counter = 0 | |
| 845 | for y in range(nrow): |
|
845 | for y in range(nrow): | |
| 846 | for x in range(ncol): |
|
846 | for x in range(ncol): | |
| 847 |
|
847 | |||
| 848 | if counter >= self.nplots: |
|
848 | if counter >= self.nplots: | |
| 849 | break |
|
849 | break | |
| 850 |
|
850 | |||
| 851 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
851 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 852 |
|
852 | |||
| 853 | counter += 1 |
|
853 | counter += 1 | |
| 854 |
|
854 | |||
| 855 | def run(self, dataOut, id, wintitle="", channelList=None, paramIndex = 0, colormap="jet", |
|
855 | def run(self, dataOut, id, wintitle="", channelList=None, paramIndex = 0, colormap="jet", | |
| 856 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, timerange=None, |
|
856 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, timerange=None, | |
| 857 | showSNR=False, SNRthresh = -numpy.inf, SNRmin=None, SNRmax=None, |
|
857 | showSNR=False, SNRthresh = -numpy.inf, SNRmin=None, SNRmax=None, | |
| 858 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
858 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, | |
| 859 | server=None, folder=None, username=None, password=None, |
|
859 | server=None, folder=None, username=None, password=None, | |
| 860 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, HEIGHT=None): |
|
860 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, HEIGHT=None): | |
| 861 | """ |
|
861 | """ | |
| 862 |
|
862 | |||
| 863 | Input: |
|
863 | Input: | |
| 864 | dataOut : |
|
864 | dataOut : | |
| 865 | id : |
|
865 | id : | |
| 866 | wintitle : |
|
866 | wintitle : | |
| 867 | channelList : |
|
867 | channelList : | |
| 868 | showProfile : |
|
868 | showProfile : | |
| 869 | xmin : None, |
|
869 | xmin : None, | |
| 870 | xmax : None, |
|
870 | xmax : None, | |
| 871 | ymin : None, |
|
871 | ymin : None, | |
| 872 | ymax : None, |
|
872 | ymax : None, | |
| 873 | zmin : None, |
|
873 | zmin : None, | |
| 874 | zmax : None |
|
874 | zmax : None | |
| 875 | """ |
|
875 | """ | |
| 876 |
|
876 | |||
| 877 | if HEIGHT is not None: |
|
877 | if HEIGHT is not None: | |
| 878 | self.HEIGHT = HEIGHT |
|
878 | self.HEIGHT = HEIGHT | |
| 879 |
|
879 | |||
| 880 |
|
880 | |||
| 881 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
881 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
| 882 | return |
|
882 | return | |
| 883 |
|
883 | |||
| 884 | if channelList == None: |
|
884 | if channelList == None: | |
| 885 | channelIndexList = range(dataOut.data_param.shape[0]) |
|
885 | channelIndexList = range(dataOut.data_param.shape[0]) | |
| 886 | else: |
|
886 | else: | |
| 887 | channelIndexList = [] |
|
887 | channelIndexList = [] | |
| 888 | for channel in channelList: |
|
888 | for channel in channelList: | |
| 889 | if channel not in dataOut.channelList: |
|
889 | if channel not in dataOut.channelList: | |
| 890 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
890 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 891 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
891 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 892 |
|
892 | |||
| 893 | x = dataOut.getTimeRange1(dataOut.paramInterval) |
|
893 | x = dataOut.getTimeRange1(dataOut.paramInterval) | |
| 894 | y = dataOut.getHeiRange() |
|
894 | y = dataOut.getHeiRange() | |
| 895 |
|
895 | |||
| 896 | if dataOut.data_param.ndim == 3: |
|
896 | if dataOut.data_param.ndim == 3: | |
| 897 | z = dataOut.data_param[channelIndexList,paramIndex,:] |
|
897 | z = dataOut.data_param[channelIndexList,paramIndex,:] | |
| 898 | else: |
|
898 | else: | |
| 899 | z = dataOut.data_param[channelIndexList,:] |
|
899 | z = dataOut.data_param[channelIndexList,:] | |
| 900 |
|
900 | |||
| 901 | if showSNR: |
|
901 | if showSNR: | |
| 902 | #SNR data |
|
902 | #SNR data | |
| 903 | SNRarray = dataOut.data_SNR[channelIndexList,:] |
|
903 | SNRarray = dataOut.data_SNR[channelIndexList,:] | |
| 904 | SNRdB = 10*numpy.log10(SNRarray) |
|
904 | SNRdB = 10*numpy.log10(SNRarray) | |
| 905 | ind = numpy.where(SNRdB < SNRthresh) |
|
905 | ind = numpy.where(SNRdB < SNRthresh) | |
| 906 | z[ind] = numpy.nan |
|
906 | z[ind] = numpy.nan | |
| 907 |
|
907 | |||
| 908 | thisDatetime = dataOut.datatime |
|
908 | thisDatetime = dataOut.datatime | |
| 909 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
909 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 910 | title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
910 | title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 911 | xlabel = "" |
|
911 | xlabel = "" | |
| 912 | ylabel = "Range (Km)" |
|
912 | ylabel = "Range (Km)" | |
| 913 |
|
913 | |||
| 914 | update_figfile = False |
|
914 | update_figfile = False | |
| 915 |
|
915 | |||
| 916 | if not self.isConfig: |
|
916 | if not self.isConfig: | |
| 917 |
|
917 | |||
| 918 | nchan = len(channelIndexList) |
|
918 | nchan = len(channelIndexList) | |
| 919 | self.nchan = nchan |
|
919 | self.nchan = nchan | |
| 920 | self.plotFact = 1 |
|
920 | self.plotFact = 1 | |
| 921 | nplots = nchan |
|
921 | nplots = nchan | |
| 922 |
|
922 | |||
| 923 | if showSNR: |
|
923 | if showSNR: | |
| 924 | nplots = nchan*2 |
|
924 | nplots = nchan*2 | |
| 925 | self.plotFact = 2 |
|
925 | self.plotFact = 2 | |
| 926 | if SNRmin == None: SNRmin = numpy.nanmin(SNRdB) |
|
926 | if SNRmin == None: SNRmin = numpy.nanmin(SNRdB) | |
| 927 | if SNRmax == None: SNRmax = numpy.nanmax(SNRdB) |
|
927 | if SNRmax == None: SNRmax = numpy.nanmax(SNRdB) | |
| 928 |
|
928 | |||
| 929 | self.setup(id=id, |
|
929 | self.setup(id=id, | |
| 930 | nplots=nplots, |
|
930 | nplots=nplots, | |
| 931 | wintitle=wintitle, |
|
931 | wintitle=wintitle, | |
| 932 | show=show) |
|
932 | show=show) | |
| 933 |
|
933 | |||
| 934 | if timerange != None: |
|
934 | if timerange != None: | |
| 935 | self.timerange = timerange |
|
935 | self.timerange = timerange | |
| 936 |
|
936 | |||
| 937 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
937 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 938 |
|
938 | |||
| 939 | if ymin == None: ymin = numpy.nanmin(y) |
|
939 | if ymin == None: ymin = numpy.nanmin(y) | |
| 940 | if ymax == None: ymax = numpy.nanmax(y) |
|
940 | if ymax == None: ymax = numpy.nanmax(y) | |
| 941 | if zmin == None: zmin = numpy.nanmin(z) |
|
941 | if zmin == None: zmin = numpy.nanmin(z) | |
| 942 | if zmax == None: zmax = numpy.nanmax(z) |
|
942 | if zmax == None: zmax = numpy.nanmax(z) | |
| 943 |
|
943 | |||
| 944 | self.FTP_WEI = ftp_wei |
|
944 | self.FTP_WEI = ftp_wei | |
| 945 | self.EXP_CODE = exp_code |
|
945 | self.EXP_CODE = exp_code | |
| 946 | self.SUB_EXP_CODE = sub_exp_code |
|
946 | self.SUB_EXP_CODE = sub_exp_code | |
| 947 | self.PLOT_POS = plot_pos |
|
947 | self.PLOT_POS = plot_pos | |
| 948 |
|
948 | |||
| 949 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
949 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 950 | self.isConfig = True |
|
950 | self.isConfig = True | |
| 951 | self.figfile = figfile |
|
951 | self.figfile = figfile | |
| 952 | update_figfile = True |
|
952 | update_figfile = True | |
| 953 |
|
953 | |||
| 954 | self.setWinTitle(title) |
|
954 | self.setWinTitle(title) | |
| 955 |
|
955 | |||
| 956 | for i in range(self.nchan): |
|
956 | for i in range(self.nchan): | |
| 957 | index = channelIndexList[i] |
|
957 | index = channelIndexList[i] | |
| 958 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
958 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 959 | axes = self.axesList[i*self.plotFact] |
|
959 | axes = self.axesList[i*self.plotFact] | |
| 960 | z1 = z[i,:].reshape((1,-1)) |
|
960 | z1 = z[i,:].reshape((1,-1)) | |
| 961 | axes.pcolorbuffer(x, y, z1, |
|
961 | axes.pcolorbuffer(x, y, z1, | |
| 962 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
962 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 963 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
963 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 964 | ticksize=9, cblabel='', cbsize="1%",colormap=colormap) |
|
964 | ticksize=9, cblabel='', cbsize="1%",colormap=colormap) | |
| 965 |
|
965 | |||
| 966 | if showSNR: |
|
966 | if showSNR: | |
| 967 | title = "Channel %d SNR: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
967 | title = "Channel %d SNR: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 968 | axes = self.axesList[i*self.plotFact + 1] |
|
968 | axes = self.axesList[i*self.plotFact + 1] | |
| 969 | SNRdB1 = SNRdB[i,:].reshape((1,-1)) |
|
969 | SNRdB1 = SNRdB[i,:].reshape((1,-1)) | |
| 970 | axes.pcolorbuffer(x, y, SNRdB1, |
|
970 | axes.pcolorbuffer(x, y, SNRdB1, | |
| 971 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
971 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, | |
| 972 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
972 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 973 | ticksize=9, cblabel='', cbsize="1%",colormap='jet') |
|
973 | ticksize=9, cblabel='', cbsize="1%",colormap='jet') | |
| 974 |
|
974 | |||
| 975 |
|
975 | |||
| 976 | self.draw() |
|
976 | self.draw() | |
| 977 |
|
977 | |||
| 978 | if dataOut.ltctime >= self.xmax: |
|
978 | if dataOut.ltctime >= self.xmax: | |
| 979 | self.counter_imagwr = wr_period |
|
979 | self.counter_imagwr = wr_period | |
| 980 | self.isConfig = False |
|
980 | self.isConfig = False | |
| 981 | update_figfile = True |
|
981 | update_figfile = True | |
| 982 |
|
982 | |||
| 983 | self.save(figpath=figpath, |
|
983 | self.save(figpath=figpath, | |
| 984 | figfile=figfile, |
|
984 | figfile=figfile, | |
| 985 | save=save, |
|
985 | save=save, | |
| 986 | ftp=ftp, |
|
986 | ftp=ftp, | |
| 987 | wr_period=wr_period, |
|
987 | wr_period=wr_period, | |
| 988 | thisDatetime=thisDatetime, |
|
988 | thisDatetime=thisDatetime, | |
| 989 | update_figfile=update_figfile) |
|
989 | update_figfile=update_figfile) | |
| 990 |
|
990 | |||
| 991 |
|
991 | |||
| 992 |
|
992 | |||
| 993 | class Parameters1Plot(Figure): |
|
993 | class Parameters1Plot(Figure): | |
| 994 |
|
994 | |||
| 995 | __isConfig = None |
|
995 | __isConfig = None | |
| 996 | __nsubplots = None |
|
996 | __nsubplots = None | |
| 997 |
|
997 | |||
| 998 | WIDTHPROF = None |
|
998 | WIDTHPROF = None | |
| 999 | HEIGHTPROF = None |
|
999 | HEIGHTPROF = None | |
| 1000 | PREFIX = 'prm' |
|
1000 | PREFIX = 'prm' | |
| 1001 |
|
1001 | |||
| 1002 | def __init__(self, **kwargs): |
|
1002 | def __init__(self, **kwargs): | |
| 1003 | Figure.__init__(self, **kwargs) |
|
1003 | Figure.__init__(self, **kwargs) | |
| 1004 | self.timerange = 2*60*60 |
|
1004 | self.timerange = 2*60*60 | |
| 1005 | self.isConfig = False |
|
1005 | self.isConfig = False | |
| 1006 | self.__nsubplots = 1 |
|
1006 | self.__nsubplots = 1 | |
| 1007 |
|
1007 | |||
| 1008 | self.WIDTH = 800 |
|
1008 | self.WIDTH = 800 | |
| 1009 | self.HEIGHT = 180 |
|
1009 | self.HEIGHT = 180 | |
| 1010 | self.WIDTHPROF = 120 |
|
1010 | self.WIDTHPROF = 120 | |
| 1011 | self.HEIGHTPROF = 0 |
|
1011 | self.HEIGHTPROF = 0 | |
| 1012 | self.counter_imagwr = 0 |
|
1012 | self.counter_imagwr = 0 | |
| 1013 |
|
1013 | |||
| 1014 | self.PLOT_CODE = PARMS_CODE |
|
1014 | self.PLOT_CODE = PARMS_CODE | |
| 1015 |
|
1015 | |||
| 1016 | self.FTP_WEI = None |
|
1016 | self.FTP_WEI = None | |
| 1017 | self.EXP_CODE = None |
|
1017 | self.EXP_CODE = None | |
| 1018 | self.SUB_EXP_CODE = None |
|
1018 | self.SUB_EXP_CODE = None | |
| 1019 | self.PLOT_POS = None |
|
1019 | self.PLOT_POS = None | |
| 1020 | self.tmin = None |
|
1020 | self.tmin = None | |
| 1021 | self.tmax = None |
|
1021 | self.tmax = None | |
| 1022 |
|
1022 | |||
| 1023 | self.xmin = None |
|
1023 | self.xmin = None | |
| 1024 | self.xmax = None |
|
1024 | self.xmax = None | |
| 1025 |
|
1025 | |||
| 1026 | self.figfile = None |
|
1026 | self.figfile = None | |
| 1027 |
|
1027 | |||
| 1028 | def getSubplots(self): |
|
1028 | def getSubplots(self): | |
| 1029 |
|
1029 | |||
| 1030 | ncol = 1 |
|
1030 | ncol = 1 | |
| 1031 | nrow = self.nplots |
|
1031 | nrow = self.nplots | |
| 1032 |
|
1032 | |||
| 1033 | return nrow, ncol |
|
1033 | return nrow, ncol | |
| 1034 |
|
1034 | |||
| 1035 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
1035 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 1036 |
|
1036 | |||
| 1037 | self.__showprofile = showprofile |
|
1037 | self.__showprofile = showprofile | |
| 1038 | self.nplots = nplots |
|
1038 | self.nplots = nplots | |
| 1039 |
|
1039 | |||
| 1040 | ncolspan = 1 |
|
1040 | ncolspan = 1 | |
| 1041 | colspan = 1 |
|
1041 | colspan = 1 | |
| 1042 |
|
1042 | |||
| 1043 | self.createFigure(id = id, |
|
1043 | self.createFigure(id = id, | |
| 1044 | wintitle = wintitle, |
|
1044 | wintitle = wintitle, | |
| 1045 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
1045 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 1046 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
1046 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 1047 | show=show) |
|
1047 | show=show) | |
| 1048 |
|
1048 | |||
| 1049 | nrow, ncol = self.getSubplots() |
|
1049 | nrow, ncol = self.getSubplots() | |
| 1050 |
|
1050 | |||
| 1051 | counter = 0 |
|
1051 | counter = 0 | |
| 1052 | for y in range(nrow): |
|
1052 | for y in range(nrow): | |
| 1053 | for x in range(ncol): |
|
1053 | for x in range(ncol): | |
| 1054 |
|
1054 | |||
| 1055 | if counter >= self.nplots: |
|
1055 | if counter >= self.nplots: | |
| 1056 | break |
|
1056 | break | |
| 1057 |
|
1057 | |||
| 1058 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
1058 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 1059 |
|
1059 | |||
| 1060 | if showprofile: |
|
1060 | if showprofile: | |
| 1061 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
1061 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 1062 |
|
1062 | |||
| 1063 | counter += 1 |
|
1063 | counter += 1 | |
| 1064 |
|
1064 | |||
| 1065 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, |
|
1065 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False, | |
| 1066 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,timerange=None, |
|
1066 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,timerange=None, | |
| 1067 | parameterIndex = None, onlyPositive = False, |
|
1067 | parameterIndex = None, onlyPositive = False, | |
| 1068 | SNRthresh = -numpy.inf, SNR = True, SNRmin = None, SNRmax = None, onlySNR = False, |
|
1068 | SNRthresh = -numpy.inf, SNR = True, SNRmin = None, SNRmax = None, onlySNR = False, | |
| 1069 | DOP = True, |
|
1069 | DOP = True, | |
| 1070 | zlabel = "", parameterName = "", parameterObject = "data_param", |
|
1070 | zlabel = "", parameterName = "", parameterObject = "data_param", | |
| 1071 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
1071 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, | |
| 1072 | server=None, folder=None, username=None, password=None, |
|
1072 | server=None, folder=None, username=None, password=None, | |
| 1073 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
1073 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 1074 | #print inspect.getargspec(self.run).args |
|
1074 | #print inspect.getargspec(self.run).args | |
| 1075 | """ |
|
1075 | """ | |
| 1076 |
|
1076 | |||
| 1077 | Input: |
|
1077 | Input: | |
| 1078 | dataOut : |
|
1078 | dataOut : | |
| 1079 | id : |
|
1079 | id : | |
| 1080 | wintitle : |
|
1080 | wintitle : | |
| 1081 | channelList : |
|
1081 | channelList : | |
| 1082 | showProfile : |
|
1082 | showProfile : | |
| 1083 | xmin : None, |
|
1083 | xmin : None, | |
| 1084 | xmax : None, |
|
1084 | xmax : None, | |
| 1085 | ymin : None, |
|
1085 | ymin : None, | |
| 1086 | ymax : None, |
|
1086 | ymax : None, | |
| 1087 | zmin : None, |
|
1087 | zmin : None, | |
| 1088 | zmax : None |
|
1088 | zmax : None | |
| 1089 | """ |
|
1089 | """ | |
| 1090 |
|
1090 | |||
| 1091 | data_param = getattr(dataOut, parameterObject) |
|
1091 | data_param = getattr(dataOut, parameterObject) | |
| 1092 |
|
1092 | |||
| 1093 | if channelList == None: |
|
1093 | if channelList == None: | |
| 1094 | channelIndexList = numpy.arange(data_param.shape[0]) |
|
1094 | channelIndexList = numpy.arange(data_param.shape[0]) | |
| 1095 | else: |
|
1095 | else: | |
| 1096 | channelIndexList = numpy.array(channelList) |
|
1096 | channelIndexList = numpy.array(channelList) | |
| 1097 |
|
1097 | |||
| 1098 | nchan = len(channelIndexList) #Number of channels being plotted |
|
1098 | nchan = len(channelIndexList) #Number of channels being plotted | |
| 1099 |
|
1099 | |||
| 1100 | if nchan < 1: |
|
1100 | if nchan < 1: | |
| 1101 | return |
|
1101 | return | |
| 1102 |
|
1102 | |||
| 1103 | nGraphsByChannel = 0 |
|
1103 | nGraphsByChannel = 0 | |
| 1104 |
|
1104 | |||
| 1105 | if SNR: |
|
1105 | if SNR: | |
| 1106 | nGraphsByChannel += 1 |
|
1106 | nGraphsByChannel += 1 | |
| 1107 | if DOP: |
|
1107 | if DOP: | |
| 1108 | nGraphsByChannel += 1 |
|
1108 | nGraphsByChannel += 1 | |
| 1109 |
|
1109 | |||
| 1110 | if nGraphsByChannel < 1: |
|
1110 | if nGraphsByChannel < 1: | |
| 1111 | return |
|
1111 | return | |
| 1112 |
|
1112 | |||
| 1113 | nplots = nGraphsByChannel*nchan |
|
1113 | nplots = nGraphsByChannel*nchan | |
| 1114 |
|
1114 | |||
| 1115 | if timerange is not None: |
|
1115 | if timerange is not None: | |
| 1116 | self.timerange = timerange |
|
1116 | self.timerange = timerange | |
| 1117 |
|
1117 | |||
| 1118 | #tmin = None |
|
1118 | #tmin = None | |
| 1119 | #tmax = None |
|
1119 | #tmax = None | |
| 1120 | if parameterIndex == None: |
|
1120 | if parameterIndex == None: | |
| 1121 | parameterIndex = 1 |
|
1121 | parameterIndex = 1 | |
| 1122 |
|
1122 | |||
| 1123 | x = dataOut.getTimeRange1(dataOut.paramInterval) |
|
1123 | x = dataOut.getTimeRange1(dataOut.paramInterval) | |
| 1124 | y = dataOut.heightList |
|
1124 | y = dataOut.heightList | |
| 1125 | z = data_param[channelIndexList,parameterIndex,:].copy() |
|
1125 | z = data_param[channelIndexList,parameterIndex,:].copy() | |
| 1126 |
|
1126 | |||
| 1127 | zRange = dataOut.abscissaList |
|
1127 | zRange = dataOut.abscissaList | |
| 1128 | # nChannels = z.shape[0] #Number of wind dimensions estimated |
|
1128 | # nChannels = z.shape[0] #Number of wind dimensions estimated | |
| 1129 | # thisDatetime = dataOut.datatime |
|
1129 | # thisDatetime = dataOut.datatime | |
| 1130 |
|
1130 | |||
| 1131 | if dataOut.data_SNR is not None: |
|
1131 | if dataOut.data_SNR is not None: | |
| 1132 | SNRarray = dataOut.data_SNR[channelIndexList,:] |
|
1132 | SNRarray = dataOut.data_SNR[channelIndexList,:] | |
| 1133 | SNRdB = 10*numpy.log10(SNRarray) |
|
1133 | SNRdB = 10*numpy.log10(SNRarray) | |
| 1134 | # SNRavgdB = 10*numpy.log10(SNRavg) |
|
1134 | # SNRavgdB = 10*numpy.log10(SNRavg) | |
| 1135 | ind = numpy.where(SNRdB < 10**(SNRthresh/10)) |
|
1135 | ind = numpy.where(SNRdB < 10**(SNRthresh/10)) | |
| 1136 | z[ind] = numpy.nan |
|
1136 | z[ind] = numpy.nan | |
| 1137 |
|
1137 | |||
| 1138 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
1138 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 1139 | title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1139 | title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 1140 | xlabel = "" |
|
1140 | xlabel = "" | |
| 1141 | ylabel = "Range (Km)" |
|
1141 | ylabel = "Range (Km)" | |
| 1142 |
|
1142 | |||
| 1143 | if (SNR and not onlySNR): nplots = 2*nplots |
|
1143 | if (SNR and not onlySNR): nplots = 2*nplots | |
| 1144 |
|
1144 | |||
| 1145 | if onlyPositive: |
|
1145 | if onlyPositive: | |
| 1146 | colormap = "jet" |
|
1146 | colormap = "jet" | |
| 1147 | zmin = 0 |
|
1147 | zmin = 0 | |
| 1148 | else: colormap = "RdBu_r" |
|
1148 | else: colormap = "RdBu_r" | |
| 1149 |
|
1149 | |||
| 1150 | if not self.isConfig: |
|
1150 | if not self.isConfig: | |
| 1151 |
|
1151 | |||
| 1152 | self.setup(id=id, |
|
1152 | self.setup(id=id, | |
| 1153 | nplots=nplots, |
|
1153 | nplots=nplots, | |
| 1154 | wintitle=wintitle, |
|
1154 | wintitle=wintitle, | |
| 1155 | showprofile=showprofile, |
|
1155 | showprofile=showprofile, | |
| 1156 | show=show) |
|
1156 | show=show) | |
| 1157 |
|
1157 | |||
| 1158 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
1158 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 1159 |
|
1159 | |||
| 1160 | if ymin == None: ymin = numpy.nanmin(y) |
|
1160 | if ymin == None: ymin = numpy.nanmin(y) | |
| 1161 | if ymax == None: ymax = numpy.nanmax(y) |
|
1161 | if ymax == None: ymax = numpy.nanmax(y) | |
| 1162 | if zmin == None: zmin = numpy.nanmin(zRange) |
|
1162 | if zmin == None: zmin = numpy.nanmin(zRange) | |
| 1163 | if zmax == None: zmax = numpy.nanmax(zRange) |
|
1163 | if zmax == None: zmax = numpy.nanmax(zRange) | |
| 1164 |
|
1164 | |||
| 1165 | if SNR: |
|
1165 | if SNR: | |
| 1166 | if SNRmin == None: SNRmin = numpy.nanmin(SNRdB) |
|
1166 | if SNRmin == None: SNRmin = numpy.nanmin(SNRdB) | |
| 1167 | if SNRmax == None: SNRmax = numpy.nanmax(SNRdB) |
|
1167 | if SNRmax == None: SNRmax = numpy.nanmax(SNRdB) | |
| 1168 |
|
1168 | |||
| 1169 | self.FTP_WEI = ftp_wei |
|
1169 | self.FTP_WEI = ftp_wei | |
| 1170 | self.EXP_CODE = exp_code |
|
1170 | self.EXP_CODE = exp_code | |
| 1171 | self.SUB_EXP_CODE = sub_exp_code |
|
1171 | self.SUB_EXP_CODE = sub_exp_code | |
| 1172 | self.PLOT_POS = plot_pos |
|
1172 | self.PLOT_POS = plot_pos | |
| 1173 |
|
1173 | |||
| 1174 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
1174 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 1175 | self.isConfig = True |
|
1175 | self.isConfig = True | |
| 1176 | self.figfile = figfile |
|
1176 | self.figfile = figfile | |
| 1177 |
|
1177 | |||
| 1178 | self.setWinTitle(title) |
|
1178 | self.setWinTitle(title) | |
| 1179 |
|
1179 | |||
| 1180 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
1180 | if ((self.xmax - x[1]) < (x[1]-x[0])): | |
| 1181 | x[1] = self.xmax |
|
1181 | x[1] = self.xmax | |
| 1182 |
|
1182 | |||
| 1183 | for i in range(nchan): |
|
1183 | for i in range(nchan): | |
| 1184 |
|
1184 | |||
| 1185 | if (SNR and not onlySNR): j = 2*i |
|
1185 | if (SNR and not onlySNR): j = 2*i | |
| 1186 | else: j = i |
|
1186 | else: j = i | |
| 1187 |
|
1187 | |||
| 1188 | j = nGraphsByChannel*i |
|
1188 | j = nGraphsByChannel*i | |
| 1189 |
|
1189 | |||
| 1190 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
1190 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 1191 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
1191 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) | |
| 1192 |
|
1192 | |||
| 1193 | if not onlySNR: |
|
1193 | if not onlySNR: | |
| 1194 | axes = self.axesList[j*self.__nsubplots] |
|
1194 | axes = self.axesList[j*self.__nsubplots] | |
| 1195 | z1 = z[i,:].reshape((1,-1)) |
|
1195 | z1 = z[i,:].reshape((1,-1)) | |
| 1196 | axes.pcolorbuffer(x, y, z1, |
|
1196 | axes.pcolorbuffer(x, y, z1, | |
| 1197 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
1197 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 1198 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap, |
|
1198 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap, | |
| 1199 | ticksize=9, cblabel=zlabel, cbsize="1%") |
|
1199 | ticksize=9, cblabel=zlabel, cbsize="1%") | |
| 1200 |
|
1200 | |||
| 1201 | if DOP: |
|
1201 | if DOP: | |
| 1202 | title = "%s Channel %d: %s" %(parameterName, channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1202 | title = "%s Channel %d: %s" %(parameterName, channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1203 |
|
1203 | |||
| 1204 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
1204 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 1205 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
1205 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) | |
| 1206 | axes = self.axesList[j] |
|
1206 | axes = self.axesList[j] | |
| 1207 | z1 = z[i,:].reshape((1,-1)) |
|
1207 | z1 = z[i,:].reshape((1,-1)) | |
| 1208 | axes.pcolorbuffer(x, y, z1, |
|
1208 | axes.pcolorbuffer(x, y, z1, | |
| 1209 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
1209 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 1210 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap, |
|
1210 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap, | |
| 1211 | ticksize=9, cblabel=zlabel, cbsize="1%") |
|
1211 | ticksize=9, cblabel=zlabel, cbsize="1%") | |
| 1212 |
|
1212 | |||
| 1213 | if SNR: |
|
1213 | if SNR: | |
| 1214 | title = "Channel %d Signal Noise Ratio (SNR): %s" %(channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1214 | title = "Channel %d Signal Noise Ratio (SNR): %s" %(channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1215 | axes = self.axesList[(j)*self.__nsubplots] |
|
1215 | axes = self.axesList[(j)*self.__nsubplots] | |
| 1216 | if not onlySNR: |
|
1216 | if not onlySNR: | |
| 1217 | axes = self.axesList[(j + 1)*self.__nsubplots] |
|
1217 | axes = self.axesList[(j + 1)*self.__nsubplots] | |
| 1218 |
|
1218 | |||
| 1219 | axes = self.axesList[(j + nGraphsByChannel-1)] |
|
1219 | axes = self.axesList[(j + nGraphsByChannel-1)] | |
| 1220 |
|
1220 | |||
| 1221 | z1 = SNRdB[i,:].reshape((1,-1)) |
|
1221 | z1 = SNRdB[i,:].reshape((1,-1)) | |
| 1222 | axes.pcolorbuffer(x, y, z1, |
|
1222 | axes.pcolorbuffer(x, y, z1, | |
| 1223 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
1223 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, | |
| 1224 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap="jet", |
|
1224 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap="jet", | |
| 1225 | ticksize=9, cblabel=zlabel, cbsize="1%") |
|
1225 | ticksize=9, cblabel=zlabel, cbsize="1%") | |
| 1226 |
|
1226 | |||
| 1227 |
|
1227 | |||
| 1228 |
|
1228 | |||
| 1229 | self.draw() |
|
1229 | self.draw() | |
| 1230 |
|
1230 | |||
| 1231 | if x[1] >= self.axesList[0].xmax: |
|
1231 | if x[1] >= self.axesList[0].xmax: | |
| 1232 | self.counter_imagwr = wr_period |
|
1232 | self.counter_imagwr = wr_period | |
| 1233 | self.isConfig = False |
|
1233 | self.isConfig = False | |
| 1234 | self.figfile = None |
|
1234 | self.figfile = None | |
| 1235 |
|
1235 | |||
| 1236 | self.save(figpath=figpath, |
|
1236 | self.save(figpath=figpath, | |
| 1237 | figfile=figfile, |
|
1237 | figfile=figfile, | |
| 1238 | save=save, |
|
1238 | save=save, | |
| 1239 | ftp=ftp, |
|
1239 | ftp=ftp, | |
| 1240 | wr_period=wr_period, |
|
1240 | wr_period=wr_period, | |
| 1241 | thisDatetime=thisDatetime, |
|
1241 | thisDatetime=thisDatetime, | |
| 1242 | update_figfile=False) |
|
1242 | update_figfile=False) | |
| 1243 |
|
1243 | |||
| 1244 | class SpectralFittingPlot(Figure): |
|
1244 | class SpectralFittingPlot(Figure): | |
| 1245 |
|
1245 | |||
| 1246 | __isConfig = None |
|
1246 | __isConfig = None | |
| 1247 | __nsubplots = None |
|
1247 | __nsubplots = None | |
| 1248 |
|
1248 | |||
| 1249 | WIDTHPROF = None |
|
1249 | WIDTHPROF = None | |
| 1250 | HEIGHTPROF = None |
|
1250 | HEIGHTPROF = None | |
| 1251 | PREFIX = 'prm' |
|
1251 | PREFIX = 'prm' | |
| 1252 |
|
1252 | |||
| 1253 |
|
1253 | |||
| 1254 | N = None |
|
1254 | N = None | |
| 1255 | ippSeconds = None |
|
1255 | ippSeconds = None | |
| 1256 |
|
1256 | |||
| 1257 | def __init__(self, **kwargs): |
|
1257 | def __init__(self, **kwargs): | |
| 1258 | Figure.__init__(self, **kwargs) |
|
1258 | Figure.__init__(self, **kwargs) | |
| 1259 | self.isConfig = False |
|
1259 | self.isConfig = False | |
| 1260 | self.__nsubplots = 1 |
|
1260 | self.__nsubplots = 1 | |
| 1261 |
|
1261 | |||
| 1262 | self.PLOT_CODE = SPECFIT_CODE |
|
1262 | self.PLOT_CODE = SPECFIT_CODE | |
| 1263 |
|
1263 | |||
| 1264 | self.WIDTH = 450 |
|
1264 | self.WIDTH = 450 | |
| 1265 | self.HEIGHT = 250 |
|
1265 | self.HEIGHT = 250 | |
| 1266 | self.WIDTHPROF = 0 |
|
1266 | self.WIDTHPROF = 0 | |
| 1267 | self.HEIGHTPROF = 0 |
|
1267 | self.HEIGHTPROF = 0 | |
| 1268 |
|
1268 | |||
| 1269 | def getSubplots(self): |
|
1269 | def getSubplots(self): | |
| 1270 |
|
1270 | |||
| 1271 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
1271 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
| 1272 | nrow = int(self.nplots*1./ncol + 0.9) |
|
1272 | nrow = int(self.nplots*1./ncol + 0.9) | |
| 1273 |
|
1273 | |||
| 1274 | return nrow, ncol |
|
1274 | return nrow, ncol | |
| 1275 |
|
1275 | |||
| 1276 | def setup(self, id, nplots, wintitle, showprofile=False, show=True): |
|
1276 | def setup(self, id, nplots, wintitle, showprofile=False, show=True): | |
| 1277 |
|
1277 | |||
| 1278 | showprofile = False |
|
1278 | showprofile = False | |
| 1279 | self.__showprofile = showprofile |
|
1279 | self.__showprofile = showprofile | |
| 1280 | self.nplots = nplots |
|
1280 | self.nplots = nplots | |
| 1281 |
|
1281 | |||
| 1282 | ncolspan = 5 |
|
1282 | ncolspan = 5 | |
| 1283 | colspan = 4 |
|
1283 | colspan = 4 | |
| 1284 | if showprofile: |
|
1284 | if showprofile: | |
| 1285 | ncolspan = 5 |
|
1285 | ncolspan = 5 | |
| 1286 | colspan = 4 |
|
1286 | colspan = 4 | |
| 1287 | self.__nsubplots = 2 |
|
1287 | self.__nsubplots = 2 | |
| 1288 |
|
1288 | |||
| 1289 | self.createFigure(id = id, |
|
1289 | self.createFigure(id = id, | |
| 1290 | wintitle = wintitle, |
|
1290 | wintitle = wintitle, | |
| 1291 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
1291 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 1292 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
1292 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 1293 | show=show) |
|
1293 | show=show) | |
| 1294 |
|
1294 | |||
| 1295 | nrow, ncol = self.getSubplots() |
|
1295 | nrow, ncol = self.getSubplots() | |
| 1296 |
|
1296 | |||
| 1297 | counter = 0 |
|
1297 | counter = 0 | |
| 1298 | for y in range(nrow): |
|
1298 | for y in range(nrow): | |
| 1299 | for x in range(ncol): |
|
1299 | for x in range(ncol): | |
| 1300 |
|
1300 | |||
| 1301 | if counter >= self.nplots: |
|
1301 | if counter >= self.nplots: | |
| 1302 | break |
|
1302 | break | |
| 1303 |
|
1303 | |||
| 1304 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
1304 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 1305 |
|
1305 | |||
| 1306 | if showprofile: |
|
1306 | if showprofile: | |
| 1307 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
1307 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 1308 |
|
1308 | |||
| 1309 | counter += 1 |
|
1309 | counter += 1 | |
| 1310 |
|
1310 | |||
| 1311 | def run(self, dataOut, id, cutHeight=None, fit=False, wintitle="", channelList=None, showprofile=True, |
|
1311 | def run(self, dataOut, id, cutHeight=None, fit=False, wintitle="", channelList=None, showprofile=True, | |
| 1312 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
1312 | xmin=None, xmax=None, ymin=None, ymax=None, | |
| 1313 | save=False, figpath='./', figfile=None, show=True): |
|
1313 | save=False, figpath='./', figfile=None, show=True): | |
| 1314 |
|
1314 | |||
| 1315 | """ |
|
1315 | """ | |
| 1316 |
|
1316 | |||
| 1317 | Input: |
|
1317 | Input: | |
| 1318 | dataOut : |
|
1318 | dataOut : | |
| 1319 | id : |
|
1319 | id : | |
| 1320 | wintitle : |
|
1320 | wintitle : | |
| 1321 | channelList : |
|
1321 | channelList : | |
| 1322 | showProfile : |
|
1322 | showProfile : | |
| 1323 | xmin : None, |
|
1323 | xmin : None, | |
| 1324 | xmax : None, |
|
1324 | xmax : None, | |
| 1325 | zmin : None, |
|
1325 | zmin : None, | |
| 1326 | zmax : None |
|
1326 | zmax : None | |
| 1327 | """ |
|
1327 | """ | |
| 1328 |
|
1328 | |||
| 1329 | if cutHeight==None: |
|
1329 | if cutHeight==None: | |
| 1330 | h=270 |
|
1330 | h=270 | |
| 1331 | heightindex = numpy.abs(cutHeight - dataOut.heightList).argmin() |
|
1331 | heightindex = numpy.abs(cutHeight - dataOut.heightList).argmin() | |
| 1332 | cutHeight = dataOut.heightList[heightindex] |
|
1332 | cutHeight = dataOut.heightList[heightindex] | |
| 1333 |
|
1333 | |||
| 1334 | factor = dataOut.normFactor |
|
1334 | factor = dataOut.normFactor | |
| 1335 | x = dataOut.abscissaList[:-1] |
|
1335 | x = dataOut.abscissaList[:-1] | |
| 1336 | #y = dataOut.getHeiRange() |
|
1336 | #y = dataOut.getHeiRange() | |
| 1337 |
|
1337 | |||
| 1338 | z = dataOut.data_pre[:,:,heightindex]/factor |
|
1338 | z = dataOut.data_pre[:,:,heightindex]/factor | |
| 1339 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
1339 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 1340 | avg = numpy.average(z, axis=1) |
|
1340 | avg = numpy.average(z, axis=1) | |
| 1341 | listChannels = z.shape[0] |
|
1341 | listChannels = z.shape[0] | |
| 1342 |
|
1342 | |||
| 1343 | #Reconstruct Function |
|
1343 | #Reconstruct Function | |
| 1344 | if fit==True: |
|
1344 | if fit==True: | |
| 1345 | groupArray = dataOut.groupList |
|
1345 | groupArray = dataOut.groupList | |
| 1346 | listChannels = groupArray.reshape((groupArray.size)) |
|
1346 | listChannels = groupArray.reshape((groupArray.size)) | |
| 1347 | listChannels.sort() |
|
1347 | listChannels.sort() | |
| 1348 | spcFitLine = numpy.zeros(z.shape) |
|
1348 | spcFitLine = numpy.zeros(z.shape) | |
| 1349 | constants = dataOut.constants |
|
1349 | constants = dataOut.constants | |
| 1350 |
|
1350 | |||
| 1351 | nGroups = groupArray.shape[0] |
|
1351 | nGroups = groupArray.shape[0] | |
| 1352 | nChannels = groupArray.shape[1] |
|
1352 | nChannels = groupArray.shape[1] | |
| 1353 | nProfiles = z.shape[1] |
|
1353 | nProfiles = z.shape[1] | |
| 1354 |
|
1354 | |||
| 1355 | for f in range(nGroups): |
|
1355 | for f in range(nGroups): | |
| 1356 | groupChann = groupArray[f,:] |
|
1356 | groupChann = groupArray[f,:] | |
| 1357 | p = dataOut.data_param[f,:,heightindex] |
|
1357 | p = dataOut.data_param[f,:,heightindex] | |
| 1358 | # p = numpy.array([ 89.343967,0.14036615,0.17086219,18.89835291,1.58388365,1.55099167]) |
|
1358 | # p = numpy.array([ 89.343967,0.14036615,0.17086219,18.89835291,1.58388365,1.55099167]) | |
| 1359 | fitLineAux = dataOut.library.modelFunction(p, constants)*nProfiles |
|
1359 | fitLineAux = dataOut.library.modelFunction(p, constants)*nProfiles | |
| 1360 | fitLineAux = fitLineAux.reshape((nChannels,nProfiles)) |
|
1360 | fitLineAux = fitLineAux.reshape((nChannels,nProfiles)) | |
| 1361 | spcFitLine[groupChann,:] = fitLineAux |
|
1361 | spcFitLine[groupChann,:] = fitLineAux | |
| 1362 | # spcFitLine = spcFitLine/factor |
|
1362 | # spcFitLine = spcFitLine/factor | |
| 1363 |
|
1363 | |||
| 1364 | z = z[listChannels,:] |
|
1364 | z = z[listChannels,:] | |
| 1365 | spcFitLine = spcFitLine[listChannels,:] |
|
1365 | spcFitLine = spcFitLine[listChannels,:] | |
| 1366 | spcFitLinedB = 10*numpy.log10(spcFitLine) |
|
1366 | spcFitLinedB = 10*numpy.log10(spcFitLine) | |
| 1367 |
|
1367 | |||
| 1368 | zdB = 10*numpy.log10(z) |
|
1368 | zdB = 10*numpy.log10(z) | |
| 1369 | #thisDatetime = dataOut.datatime |
|
1369 | #thisDatetime = dataOut.datatime | |
| 1370 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
1370 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 1371 | title = wintitle + " Doppler Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
1371 | title = wintitle + " Doppler Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 1372 | xlabel = "Velocity (m/s)" |
|
1372 | xlabel = "Velocity (m/s)" | |
| 1373 | ylabel = "Spectrum" |
|
1373 | ylabel = "Spectrum" | |
| 1374 |
|
1374 | |||
| 1375 | if not self.isConfig: |
|
1375 | if not self.isConfig: | |
| 1376 |
|
1376 | |||
| 1377 | nplots = listChannels.size |
|
1377 | nplots = listChannels.size | |
| 1378 |
|
1378 | |||
| 1379 | self.setup(id=id, |
|
1379 | self.setup(id=id, | |
| 1380 | nplots=nplots, |
|
1380 | nplots=nplots, | |
| 1381 | wintitle=wintitle, |
|
1381 | wintitle=wintitle, | |
| 1382 | showprofile=showprofile, |
|
1382 | showprofile=showprofile, | |
| 1383 | show=show) |
|
1383 | show=show) | |
| 1384 |
|
1384 | |||
| 1385 | if xmin == None: xmin = numpy.nanmin(x) |
|
1385 | if xmin == None: xmin = numpy.nanmin(x) | |
| 1386 | if xmax == None: xmax = numpy.nanmax(x) |
|
1386 | if xmax == None: xmax = numpy.nanmax(x) | |
| 1387 | if ymin == None: ymin = numpy.nanmin(zdB) |
|
1387 | if ymin == None: ymin = numpy.nanmin(zdB) | |
| 1388 | if ymax == None: ymax = numpy.nanmax(zdB)+2 |
|
1388 | if ymax == None: ymax = numpy.nanmax(zdB)+2 | |
| 1389 |
|
1389 | |||
| 1390 | self.isConfig = True |
|
1390 | self.isConfig = True | |
| 1391 |
|
1391 | |||
| 1392 | self.setWinTitle(title) |
|
1392 | self.setWinTitle(title) | |
| 1393 | for i in range(self.nplots): |
|
1393 | for i in range(self.nplots): | |
| 1394 | # title = "Channel %d: %4.2fdB" %(dataOut.channelList[i]+1, noisedB[i]) |
|
1394 | # title = "Channel %d: %4.2fdB" %(dataOut.channelList[i]+1, noisedB[i]) | |
| 1395 | title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i]) |
|
1395 | title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i]) | |
| 1396 | axes = self.axesList[i*self.__nsubplots] |
|
1396 | axes = self.axesList[i*self.__nsubplots] | |
| 1397 | if fit == False: |
|
1397 | if fit == False: | |
| 1398 | axes.pline(x, zdB[i,:], |
|
1398 | axes.pline(x, zdB[i,:], | |
| 1399 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
1399 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, | |
| 1400 | xlabel=xlabel, ylabel=ylabel, title=title |
|
1400 | xlabel=xlabel, ylabel=ylabel, title=title | |
| 1401 | ) |
|
1401 | ) | |
| 1402 | if fit == True: |
|
1402 | if fit == True: | |
| 1403 | fitline=spcFitLinedB[i,:] |
|
1403 | fitline=spcFitLinedB[i,:] | |
| 1404 | y=numpy.vstack([zdB[i,:],fitline] ) |
|
1404 | y=numpy.vstack([zdB[i,:],fitline] ) | |
| 1405 | legendlabels=['Data','Fitting'] |
|
1405 | legendlabels=['Data','Fitting'] | |
| 1406 | axes.pmultilineyaxis(x, y, |
|
1406 | axes.pmultilineyaxis(x, y, | |
| 1407 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
1407 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, | |
| 1408 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
1408 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 1409 | legendlabels=legendlabels, marker=None, |
|
1409 | legendlabels=legendlabels, marker=None, | |
| 1410 | linestyle='solid', grid='both') |
|
1410 | linestyle='solid', grid='both') | |
| 1411 |
|
1411 | |||
| 1412 | self.draw() |
|
1412 | self.draw() | |
| 1413 |
|
1413 | |||
| 1414 | self.save(figpath=figpath, |
|
1414 | self.save(figpath=figpath, | |
| 1415 | figfile=figfile, |
|
1415 | figfile=figfile, | |
| 1416 | save=save, |
|
1416 | save=save, | |
| 1417 | ftp=ftp, |
|
1417 | ftp=ftp, | |
| 1418 | wr_period=wr_period, |
|
1418 | wr_period=wr_period, | |
| 1419 | thisDatetime=thisDatetime) |
|
1419 | thisDatetime=thisDatetime) | |
| 1420 |
|
1420 | |||
| 1421 |
|
1421 | |||
| 1422 | class EWDriftsPlot(Figure): |
|
1422 | class EWDriftsPlot(Figure): | |
| 1423 |
|
1423 | |||
| 1424 | __isConfig = None |
|
1424 | __isConfig = None | |
| 1425 | __nsubplots = None |
|
1425 | __nsubplots = None | |
| 1426 |
|
1426 | |||
| 1427 | WIDTHPROF = None |
|
1427 | WIDTHPROF = None | |
| 1428 | HEIGHTPROF = None |
|
1428 | HEIGHTPROF = None | |
| 1429 | PREFIX = 'drift' |
|
1429 | PREFIX = 'drift' | |
| 1430 |
|
1430 | |||
| 1431 | def __init__(self, **kwargs): |
|
1431 | def __init__(self, **kwargs): | |
| 1432 | Figure.__init__(self, **kwargs) |
|
1432 | Figure.__init__(self, **kwargs) | |
| 1433 | self.timerange = 2*60*60 |
|
1433 | self.timerange = 2*60*60 | |
| 1434 | self.isConfig = False |
|
1434 | self.isConfig = False | |
| 1435 | self.__nsubplots = 1 |
|
1435 | self.__nsubplots = 1 | |
| 1436 |
|
1436 | |||
| 1437 | self.WIDTH = 800 |
|
1437 | self.WIDTH = 800 | |
| 1438 | self.HEIGHT = 150 |
|
1438 | self.HEIGHT = 150 | |
| 1439 | self.WIDTHPROF = 120 |
|
1439 | self.WIDTHPROF = 120 | |
| 1440 | self.HEIGHTPROF = 0 |
|
1440 | self.HEIGHTPROF = 0 | |
| 1441 | self.counter_imagwr = 0 |
|
1441 | self.counter_imagwr = 0 | |
| 1442 |
|
1442 | |||
| 1443 | self.PLOT_CODE = EWDRIFT_CODE |
|
1443 | self.PLOT_CODE = EWDRIFT_CODE | |
| 1444 |
|
1444 | |||
| 1445 | self.FTP_WEI = None |
|
1445 | self.FTP_WEI = None | |
| 1446 | self.EXP_CODE = None |
|
1446 | self.EXP_CODE = None | |
| 1447 | self.SUB_EXP_CODE = None |
|
1447 | self.SUB_EXP_CODE = None | |
| 1448 | self.PLOT_POS = None |
|
1448 | self.PLOT_POS = None | |
| 1449 | self.tmin = None |
|
1449 | self.tmin = None | |
| 1450 | self.tmax = None |
|
1450 | self.tmax = None | |
| 1451 |
|
1451 | |||
| 1452 | self.xmin = None |
|
1452 | self.xmin = None | |
| 1453 | self.xmax = None |
|
1453 | self.xmax = None | |
| 1454 |
|
1454 | |||
| 1455 | self.figfile = None |
|
1455 | self.figfile = None | |
| 1456 |
|
1456 | |||
| 1457 | def getSubplots(self): |
|
1457 | def getSubplots(self): | |
| 1458 |
|
1458 | |||
| 1459 | ncol = 1 |
|
1459 | ncol = 1 | |
| 1460 | nrow = self.nplots |
|
1460 | nrow = self.nplots | |
| 1461 |
|
1461 | |||
| 1462 | return nrow, ncol |
|
1462 | return nrow, ncol | |
| 1463 |
|
1463 | |||
| 1464 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
1464 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 1465 |
|
1465 | |||
| 1466 | self.__showprofile = showprofile |
|
1466 | self.__showprofile = showprofile | |
| 1467 | self.nplots = nplots |
|
1467 | self.nplots = nplots | |
| 1468 |
|
1468 | |||
| 1469 | ncolspan = 1 |
|
1469 | ncolspan = 1 | |
| 1470 | colspan = 1 |
|
1470 | colspan = 1 | |
| 1471 |
|
1471 | |||
| 1472 | self.createFigure(id = id, |
|
1472 | self.createFigure(id = id, | |
| 1473 | wintitle = wintitle, |
|
1473 | wintitle = wintitle, | |
| 1474 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
1474 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 1475 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
1475 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 1476 | show=show) |
|
1476 | show=show) | |
| 1477 |
|
1477 | |||
| 1478 | nrow, ncol = self.getSubplots() |
|
1478 | nrow, ncol = self.getSubplots() | |
| 1479 |
|
1479 | |||
| 1480 | counter = 0 |
|
1480 | counter = 0 | |
| 1481 | for y in range(nrow): |
|
1481 | for y in range(nrow): | |
| 1482 | if counter >= self.nplots: |
|
1482 | if counter >= self.nplots: | |
| 1483 | break |
|
1483 | break | |
| 1484 |
|
1484 | |||
| 1485 | self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1) |
|
1485 | self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1) | |
| 1486 | counter += 1 |
|
1486 | counter += 1 | |
| 1487 |
|
1487 | |||
| 1488 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
1488 | def run(self, dataOut, id, wintitle="", channelList=None, | |
| 1489 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
1489 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 1490 | zmaxVertical = None, zminVertical = None, zmaxZonal = None, zminZonal = None, |
|
1490 | zmaxVertical = None, zminVertical = None, zmaxZonal = None, zminZonal = None, | |
| 1491 | timerange=None, SNRthresh = -numpy.inf, SNRmin = None, SNRmax = None, SNR_1 = False, |
|
1491 | timerange=None, SNRthresh = -numpy.inf, SNRmin = None, SNRmax = None, SNR_1 = False, | |
| 1492 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
1492 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, | |
| 1493 | server=None, folder=None, username=None, password=None, |
|
1493 | server=None, folder=None, username=None, password=None, | |
| 1494 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
1494 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 1495 | """ |
|
1495 | """ | |
| 1496 |
|
1496 | |||
| 1497 | Input: |
|
1497 | Input: | |
| 1498 | dataOut : |
|
1498 | dataOut : | |
| 1499 | id : |
|
1499 | id : | |
| 1500 | wintitle : |
|
1500 | wintitle : | |
| 1501 | channelList : |
|
1501 | channelList : | |
| 1502 | showProfile : |
|
1502 | showProfile : | |
| 1503 | xmin : None, |
|
1503 | xmin : None, | |
| 1504 | xmax : None, |
|
1504 | xmax : None, | |
| 1505 | ymin : None, |
|
1505 | ymin : None, | |
| 1506 | ymax : None, |
|
1506 | ymax : None, | |
| 1507 | zmin : None, |
|
1507 | zmin : None, | |
| 1508 | zmax : None |
|
1508 | zmax : None | |
| 1509 | """ |
|
1509 | """ | |
| 1510 |
|
1510 | |||
| 1511 | if timerange is not None: |
|
1511 | if timerange is not None: | |
| 1512 | self.timerange = timerange |
|
1512 | self.timerange = timerange | |
| 1513 |
|
1513 | |||
| 1514 | tmin = None |
|
1514 | tmin = None | |
| 1515 | tmax = None |
|
1515 | tmax = None | |
| 1516 |
|
1516 | |||
| 1517 | x = dataOut.getTimeRange1(dataOut.outputInterval) |
|
1517 | x = dataOut.getTimeRange1(dataOut.outputInterval) | |
| 1518 | # y = dataOut.heightList |
|
1518 | # y = dataOut.heightList | |
| 1519 | y = dataOut.heightList |
|
1519 | y = dataOut.heightList | |
| 1520 |
|
1520 | |||
| 1521 | z = dataOut.data_output |
|
1521 | z = dataOut.data_output | |
| 1522 | nplots = z.shape[0] #Number of wind dimensions estimated |
|
1522 | nplots = z.shape[0] #Number of wind dimensions estimated | |
| 1523 | nplotsw = nplots |
|
1523 | nplotsw = nplots | |
| 1524 |
|
1524 | |||
| 1525 | #If there is a SNR function defined |
|
1525 | #If there is a SNR function defined | |
| 1526 | if dataOut.data_SNR is not None: |
|
1526 | if dataOut.data_SNR is not None: | |
| 1527 | nplots += 1 |
|
1527 | nplots += 1 | |
| 1528 | SNR = dataOut.data_SNR |
|
1528 | SNR = dataOut.data_SNR | |
| 1529 |
|
1529 | |||
| 1530 | if SNR_1: |
|
1530 | if SNR_1: | |
| 1531 | SNR += 1 |
|
1531 | SNR += 1 | |
| 1532 |
|
1532 | |||
| 1533 | SNRavg = numpy.average(SNR, axis=0) |
|
1533 | SNRavg = numpy.average(SNR, axis=0) | |
| 1534 |
|
1534 | |||
| 1535 | SNRdB = 10*numpy.log10(SNR) |
|
1535 | SNRdB = 10*numpy.log10(SNR) | |
| 1536 | SNRavgdB = 10*numpy.log10(SNRavg) |
|
1536 | SNRavgdB = 10*numpy.log10(SNRavg) | |
| 1537 |
|
1537 | |||
| 1538 | ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0] |
|
1538 | ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0] | |
| 1539 |
|
1539 | |||
| 1540 | for i in range(nplotsw): |
|
1540 | for i in range(nplotsw): | |
| 1541 | z[i,ind] = numpy.nan |
|
1541 | z[i,ind] = numpy.nan | |
| 1542 |
|
1542 | |||
| 1543 |
|
1543 | |||
| 1544 | showprofile = False |
|
1544 | showprofile = False | |
| 1545 | # thisDatetime = dataOut.datatime |
|
1545 | # thisDatetime = dataOut.datatime | |
| 1546 | thisDatetime = datetime.datetime.utcfromtimestamp(x[1]) |
|
1546 | thisDatetime = datetime.datetime.utcfromtimestamp(x[1]) | |
| 1547 | title = wintitle + " EW Drifts" |
|
1547 | title = wintitle + " EW Drifts" | |
| 1548 | xlabel = "" |
|
1548 | xlabel = "" | |
| 1549 | ylabel = "Height (Km)" |
|
1549 | ylabel = "Height (Km)" | |
| 1550 |
|
1550 | |||
| 1551 | if not self.isConfig: |
|
1551 | if not self.isConfig: | |
| 1552 |
|
1552 | |||
| 1553 | self.setup(id=id, |
|
1553 | self.setup(id=id, | |
| 1554 | nplots=nplots, |
|
1554 | nplots=nplots, | |
| 1555 | wintitle=wintitle, |
|
1555 | wintitle=wintitle, | |
| 1556 | showprofile=showprofile, |
|
1556 | showprofile=showprofile, | |
| 1557 | show=show) |
|
1557 | show=show) | |
| 1558 |
|
1558 | |||
| 1559 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
1559 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 1560 |
|
1560 | |||
| 1561 | if ymin == None: ymin = numpy.nanmin(y) |
|
1561 | if ymin == None: ymin = numpy.nanmin(y) | |
| 1562 | if ymax == None: ymax = numpy.nanmax(y) |
|
1562 | if ymax == None: ymax = numpy.nanmax(y) | |
| 1563 |
|
1563 | |||
| 1564 | if zmaxZonal == None: zmaxZonal = numpy.nanmax(abs(z[0,:])) |
|
1564 | if zmaxZonal == None: zmaxZonal = numpy.nanmax(abs(z[0,:])) | |
| 1565 | if zminZonal == None: zminZonal = -zmaxZonal |
|
1565 | if zminZonal == None: zminZonal = -zmaxZonal | |
| 1566 | if zmaxVertical == None: zmaxVertical = numpy.nanmax(abs(z[1,:])) |
|
1566 | if zmaxVertical == None: zmaxVertical = numpy.nanmax(abs(z[1,:])) | |
| 1567 | if zminVertical == None: zminVertical = -zmaxVertical |
|
1567 | if zminVertical == None: zminVertical = -zmaxVertical | |
| 1568 |
|
1568 | |||
| 1569 | if dataOut.data_SNR is not None: |
|
1569 | if dataOut.data_SNR is not None: | |
| 1570 | if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB) |
|
1570 | if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB) | |
| 1571 | if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB) |
|
1571 | if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB) | |
| 1572 |
|
1572 | |||
| 1573 | self.FTP_WEI = ftp_wei |
|
1573 | self.FTP_WEI = ftp_wei | |
| 1574 | self.EXP_CODE = exp_code |
|
1574 | self.EXP_CODE = exp_code | |
| 1575 | self.SUB_EXP_CODE = sub_exp_code |
|
1575 | self.SUB_EXP_CODE = sub_exp_code | |
| 1576 | self.PLOT_POS = plot_pos |
|
1576 | self.PLOT_POS = plot_pos | |
| 1577 |
|
1577 | |||
| 1578 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
1578 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 1579 | self.isConfig = True |
|
1579 | self.isConfig = True | |
| 1580 |
|
1580 | |||
| 1581 |
|
1581 | |||
| 1582 | self.setWinTitle(title) |
|
1582 | self.setWinTitle(title) | |
| 1583 |
|
1583 | |||
| 1584 | if ((self.xmax - x[1]) < (x[1]-x[0])): |
|
1584 | if ((self.xmax - x[1]) < (x[1]-x[0])): | |
| 1585 | x[1] = self.xmax |
|
1585 | x[1] = self.xmax | |
| 1586 |
|
1586 | |||
| 1587 | strWind = ['Zonal','Vertical'] |
|
1587 | strWind = ['Zonal','Vertical'] | |
| 1588 | strCb = 'Velocity (m/s)' |
|
1588 | strCb = 'Velocity (m/s)' | |
| 1589 | zmaxVector = [zmaxZonal, zmaxVertical] |
|
1589 | zmaxVector = [zmaxZonal, zmaxVertical] | |
| 1590 | zminVector = [zminZonal, zminVertical] |
|
1590 | zminVector = [zminZonal, zminVertical] | |
| 1591 |
|
1591 | |||
| 1592 | for i in range(nplotsw): |
|
1592 | for i in range(nplotsw): | |
| 1593 |
|
1593 | |||
| 1594 | title = "%s Drifts: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1594 | title = "%s Drifts: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1595 | axes = self.axesList[i*self.__nsubplots] |
|
1595 | axes = self.axesList[i*self.__nsubplots] | |
| 1596 |
|
1596 | |||
| 1597 | z1 = z[i,:].reshape((1,-1)) |
|
1597 | z1 = z[i,:].reshape((1,-1)) | |
| 1598 |
|
1598 | |||
| 1599 | axes.pcolorbuffer(x, y, z1, |
|
1599 | axes.pcolorbuffer(x, y, z1, | |
| 1600 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i], |
|
1600 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i], | |
| 1601 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
1601 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 1602 | ticksize=9, cblabel=strCb, cbsize="1%", colormap="RdBu_r") |
|
1602 | ticksize=9, cblabel=strCb, cbsize="1%", colormap="RdBu_r") | |
| 1603 |
|
1603 | |||
| 1604 | if dataOut.data_SNR is not None: |
|
1604 | if dataOut.data_SNR is not None: | |
| 1605 | i += 1 |
|
1605 | i += 1 | |
| 1606 | if SNR_1: |
|
1606 | if SNR_1: | |
| 1607 | title = "Signal Noise Ratio + 1 (SNR+1): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1607 | title = "Signal Noise Ratio + 1 (SNR+1): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1608 | else: |
|
1608 | else: | |
| 1609 | title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1609 | title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1610 | axes = self.axesList[i*self.__nsubplots] |
|
1610 | axes = self.axesList[i*self.__nsubplots] | |
| 1611 | SNRavgdB = SNRavgdB.reshape((1,-1)) |
|
1611 | SNRavgdB = SNRavgdB.reshape((1,-1)) | |
| 1612 |
|
1612 | |||
| 1613 | axes.pcolorbuffer(x, y, SNRavgdB, |
|
1613 | axes.pcolorbuffer(x, y, SNRavgdB, | |
| 1614 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, |
|
1614 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax, | |
| 1615 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
1615 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 1616 | ticksize=9, cblabel='', cbsize="1%", colormap="jet") |
|
1616 | ticksize=9, cblabel='', cbsize="1%", colormap="jet") | |
| 1617 |
|
1617 | |||
| 1618 | self.draw() |
|
1618 | self.draw() | |
| 1619 |
|
1619 | |||
| 1620 | if x[1] >= self.axesList[0].xmax: |
|
1620 | if x[1] >= self.axesList[0].xmax: | |
| 1621 | self.counter_imagwr = wr_period |
|
1621 | self.counter_imagwr = wr_period | |
| 1622 | self.isConfig = False |
|
1622 | self.isConfig = False | |
| 1623 | self.figfile = None |
|
1623 | self.figfile = None | |
| 1624 |
|
1624 | |||
| 1625 |
|
1625 | |||
| 1626 |
|
1626 | |||
| 1627 |
|
1627 | |||
| 1628 | class PhasePlot(Figure): |
|
1628 | class PhasePlot(Figure): | |
| 1629 |
|
1629 | |||
| 1630 | __isConfig = None |
|
1630 | __isConfig = None | |
| 1631 | __nsubplots = None |
|
1631 | __nsubplots = None | |
| 1632 |
|
1632 | |||
| 1633 | PREFIX = 'mphase' |
|
1633 | PREFIX = 'mphase' | |
| 1634 |
|
1634 | |||
| 1635 | def __init__(self, **kwargs): |
|
1635 | def __init__(self, **kwargs): | |
| 1636 | Figure.__init__(self, **kwargs) |
|
1636 | Figure.__init__(self, **kwargs) | |
| 1637 | self.timerange = 24*60*60 |
|
1637 | self.timerange = 24*60*60 | |
| 1638 | self.isConfig = False |
|
1638 | self.isConfig = False | |
| 1639 | self.__nsubplots = 1 |
|
1639 | self.__nsubplots = 1 | |
| 1640 | self.counter_imagwr = 0 |
|
1640 | self.counter_imagwr = 0 | |
| 1641 | self.WIDTH = 600 |
|
1641 | self.WIDTH = 600 | |
| 1642 | self.HEIGHT = 300 |
|
1642 | self.HEIGHT = 300 | |
| 1643 | self.WIDTHPROF = 120 |
|
1643 | self.WIDTHPROF = 120 | |
| 1644 | self.HEIGHTPROF = 0 |
|
1644 | self.HEIGHTPROF = 0 | |
| 1645 | self.xdata = None |
|
1645 | self.xdata = None | |
| 1646 | self.ydata = None |
|
1646 | self.ydata = None | |
| 1647 |
|
1647 | |||
| 1648 | self.PLOT_CODE = MPHASE_CODE |
|
1648 | self.PLOT_CODE = MPHASE_CODE | |
| 1649 |
|
1649 | |||
| 1650 | self.FTP_WEI = None |
|
1650 | self.FTP_WEI = None | |
| 1651 | self.EXP_CODE = None |
|
1651 | self.EXP_CODE = None | |
| 1652 | self.SUB_EXP_CODE = None |
|
1652 | self.SUB_EXP_CODE = None | |
| 1653 | self.PLOT_POS = None |
|
1653 | self.PLOT_POS = None | |
| 1654 |
|
1654 | |||
| 1655 |
|
1655 | |||
| 1656 | self.filename_phase = None |
|
1656 | self.filename_phase = None | |
| 1657 |
|
1657 | |||
| 1658 | self.figfile = None |
|
1658 | self.figfile = None | |
| 1659 |
|
1659 | |||
| 1660 | def getSubplots(self): |
|
1660 | def getSubplots(self): | |
| 1661 |
|
1661 | |||
| 1662 | ncol = 1 |
|
1662 | ncol = 1 | |
| 1663 | nrow = 1 |
|
1663 | nrow = 1 | |
| 1664 |
|
1664 | |||
| 1665 | return nrow, ncol |
|
1665 | return nrow, ncol | |
| 1666 |
|
1666 | |||
| 1667 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
1667 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 1668 |
|
1668 | |||
| 1669 | self.__showprofile = showprofile |
|
1669 | self.__showprofile = showprofile | |
| 1670 | self.nplots = nplots |
|
1670 | self.nplots = nplots | |
| 1671 |
|
1671 | |||
| 1672 | ncolspan = 7 |
|
1672 | ncolspan = 7 | |
| 1673 | colspan = 6 |
|
1673 | colspan = 6 | |
| 1674 | self.__nsubplots = 2 |
|
1674 | self.__nsubplots = 2 | |
| 1675 |
|
1675 | |||
| 1676 | self.createFigure(id = id, |
|
1676 | self.createFigure(id = id, | |
| 1677 | wintitle = wintitle, |
|
1677 | wintitle = wintitle, | |
| 1678 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
1678 | widthplot = self.WIDTH+self.WIDTHPROF, | |
| 1679 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
1679 | heightplot = self.HEIGHT+self.HEIGHTPROF, | |
| 1680 | show=show) |
|
1680 | show=show) | |
| 1681 |
|
1681 | |||
| 1682 | nrow, ncol = self.getSubplots() |
|
1682 | nrow, ncol = self.getSubplots() | |
| 1683 |
|
1683 | |||
| 1684 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
1684 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) | |
| 1685 |
|
1685 | |||
| 1686 |
|
1686 | |||
| 1687 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
1687 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', | |
| 1688 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
1688 | xmin=None, xmax=None, ymin=None, ymax=None, | |
| 1689 | timerange=None, |
|
1689 | timerange=None, | |
| 1690 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
1690 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 1691 | server=None, folder=None, username=None, password=None, |
|
1691 | server=None, folder=None, username=None, password=None, | |
| 1692 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
1692 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 1693 |
|
1693 | |||
| 1694 |
|
1694 | |||
| 1695 | tmin = None |
|
1695 | tmin = None | |
| 1696 | tmax = None |
|
1696 | tmax = None | |
| 1697 | x = dataOut.getTimeRange1(dataOut.outputInterval) |
|
1697 | x = dataOut.getTimeRange1(dataOut.outputInterval) | |
| 1698 | y = dataOut.getHeiRange() |
|
1698 | y = dataOut.getHeiRange() | |
| 1699 |
|
1699 | |||
| 1700 |
|
1700 | |||
| 1701 | #thisDatetime = dataOut.datatime |
|
1701 | #thisDatetime = dataOut.datatime | |
| 1702 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
1702 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) | |
| 1703 | title = wintitle + " Phase of Beacon Signal" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1703 | title = wintitle + " Phase of Beacon Signal" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 1704 | xlabel = "Local Time" |
|
1704 | xlabel = "Local Time" | |
| 1705 | ylabel = "Phase" |
|
1705 | ylabel = "Phase" | |
| 1706 |
|
1706 | |||
| 1707 |
|
1707 | |||
| 1708 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) |
|
1708 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) | |
| 1709 | phase_beacon = dataOut.data_output |
|
1709 | phase_beacon = dataOut.data_output | |
| 1710 | update_figfile = False |
|
1710 | update_figfile = False | |
| 1711 |
|
1711 | |||
| 1712 | if not self.isConfig: |
|
1712 | if not self.isConfig: | |
| 1713 |
|
1713 | |||
| 1714 | self.nplots = phase_beacon.size |
|
1714 | self.nplots = phase_beacon.size | |
| 1715 |
|
1715 | |||
| 1716 | self.setup(id=id, |
|
1716 | self.setup(id=id, | |
| 1717 | nplots=self.nplots, |
|
1717 | nplots=self.nplots, | |
| 1718 | wintitle=wintitle, |
|
1718 | wintitle=wintitle, | |
| 1719 | showprofile=showprofile, |
|
1719 | showprofile=showprofile, | |
| 1720 | show=show) |
|
1720 | show=show) | |
| 1721 |
|
1721 | |||
| 1722 | if timerange is not None: |
|
1722 | if timerange is not None: | |
| 1723 | self.timerange = timerange |
|
1723 | self.timerange = timerange | |
| 1724 |
|
1724 | |||
| 1725 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
1725 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 1726 |
|
1726 | |||
| 1727 | if ymin == None: ymin = numpy.nanmin(phase_beacon) - 10.0 |
|
1727 | if ymin == None: ymin = numpy.nanmin(phase_beacon) - 10.0 | |
| 1728 | if ymax == None: ymax = numpy.nanmax(phase_beacon) + 10.0 |
|
1728 | if ymax == None: ymax = numpy.nanmax(phase_beacon) + 10.0 | |
| 1729 |
|
1729 | |||
| 1730 | self.FTP_WEI = ftp_wei |
|
1730 | self.FTP_WEI = ftp_wei | |
| 1731 | self.EXP_CODE = exp_code |
|
1731 | self.EXP_CODE = exp_code | |
| 1732 | self.SUB_EXP_CODE = sub_exp_code |
|
1732 | self.SUB_EXP_CODE = sub_exp_code | |
| 1733 | self.PLOT_POS = plot_pos |
|
1733 | self.PLOT_POS = plot_pos | |
| 1734 |
|
1734 | |||
| 1735 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
1735 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 1736 | self.isConfig = True |
|
1736 | self.isConfig = True | |
| 1737 | self.figfile = figfile |
|
1737 | self.figfile = figfile | |
| 1738 | self.xdata = numpy.array([]) |
|
1738 | self.xdata = numpy.array([]) | |
| 1739 | self.ydata = numpy.array([]) |
|
1739 | self.ydata = numpy.array([]) | |
| 1740 |
|
1740 | |||
| 1741 | #open file beacon phase |
|
1741 | #open file beacon phase | |
| 1742 | path = '%s%03d' %(self.PREFIX, self.id) |
|
1742 | path = '%s%03d' %(self.PREFIX, self.id) | |
| 1743 | beacon_file = os.path.join(path,'%s.txt'%self.name) |
|
1743 | beacon_file = os.path.join(path,'%s.txt'%self.name) | |
| 1744 | self.filename_phase = os.path.join(figpath,beacon_file) |
|
1744 | self.filename_phase = os.path.join(figpath,beacon_file) | |
| 1745 | update_figfile = True |
|
1745 | update_figfile = True | |
| 1746 |
|
1746 | |||
| 1747 |
|
1747 | |||
| 1748 | #store data beacon phase |
|
1748 | #store data beacon phase | |
| 1749 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) |
|
1749 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) | |
| 1750 |
|
1750 | |||
| 1751 | self.setWinTitle(title) |
|
1751 | self.setWinTitle(title) | |
| 1752 |
|
1752 | |||
| 1753 |
|
1753 | |||
| 1754 | title = "Phase Offset %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1754 | title = "Phase Offset %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1755 |
|
1755 | |||
| 1756 | legendlabels = ["phase %d"%(chan) for chan in numpy.arange(self.nplots)] |
|
1756 | legendlabels = ["phase %d"%(chan) for chan in numpy.arange(self.nplots)] | |
| 1757 |
|
1757 | |||
| 1758 | axes = self.axesList[0] |
|
1758 | axes = self.axesList[0] | |
| 1759 |
|
1759 | |||
| 1760 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
1760 | self.xdata = numpy.hstack((self.xdata, x[0:1])) | |
| 1761 |
|
1761 | |||
| 1762 | if len(self.ydata)==0: |
|
1762 | if len(self.ydata)==0: | |
| 1763 | self.ydata = phase_beacon.reshape(-1,1) |
|
1763 | self.ydata = phase_beacon.reshape(-1,1) | |
| 1764 | else: |
|
1764 | else: | |
| 1765 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) |
|
1765 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) | |
| 1766 |
|
1766 | |||
| 1767 |
|
1767 | |||
| 1768 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
1768 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, | |
| 1769 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
1769 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, | |
| 1770 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
1770 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", | |
| 1771 | XAxisAsTime=True, grid='both' |
|
1771 | XAxisAsTime=True, grid='both' | |
| 1772 | ) |
|
1772 | ) | |
| 1773 |
|
1773 | |||
| 1774 | self.draw() |
|
1774 | self.draw() | |
| 1775 |
|
1775 | |||
| 1776 | self.save(figpath=figpath, |
|
1776 | self.save(figpath=figpath, | |
| 1777 | figfile=figfile, |
|
1777 | figfile=figfile, | |
| 1778 | save=save, |
|
1778 | save=save, | |
| 1779 | ftp=ftp, |
|
1779 | ftp=ftp, | |
| 1780 | wr_period=wr_period, |
|
1780 | wr_period=wr_period, | |
| 1781 | thisDatetime=thisDatetime, |
|
1781 | thisDatetime=thisDatetime, | |
| 1782 | update_figfile=update_figfile) |
|
1782 | update_figfile=update_figfile) | |
| 1783 |
|
1783 | |||
| 1784 | if dataOut.ltctime + dataOut.outputInterval >= self.xmax: |
|
1784 | if dataOut.ltctime + dataOut.outputInterval >= self.xmax: | |
| 1785 | self.counter_imagwr = wr_period |
|
1785 | self.counter_imagwr = wr_period | |
| 1786 | self.isConfig = False |
|
1786 | self.isConfig = False | |
| 1787 | update_figfile = True |
|
1787 | update_figfile = True | |
| 1788 |
|
1788 | |||
| 1789 |
|
1789 | |||
| 1790 |
|
1790 | |||
| 1791 | class NSMeteorDetection1Plot(Figure): |
|
1791 | class NSMeteorDetection1Plot(Figure): | |
| 1792 |
|
1792 | |||
| 1793 | isConfig = None |
|
1793 | isConfig = None | |
| 1794 | __nsubplots = None |
|
1794 | __nsubplots = None | |
| 1795 |
|
1795 | |||
| 1796 | WIDTHPROF = None |
|
1796 | WIDTHPROF = None | |
| 1797 | HEIGHTPROF = None |
|
1797 | HEIGHTPROF = None | |
| 1798 | PREFIX = 'nsm' |
|
1798 | PREFIX = 'nsm' | |
| 1799 |
|
1799 | |||
| 1800 | zminList = None |
|
1800 | zminList = None | |
| 1801 | zmaxList = None |
|
1801 | zmaxList = None | |
| 1802 | cmapList = None |
|
1802 | cmapList = None | |
| 1803 | titleList = None |
|
1803 | titleList = None | |
| 1804 | nPairs = None |
|
1804 | nPairs = None | |
| 1805 | nChannels = None |
|
1805 | nChannels = None | |
| 1806 | nParam = None |
|
1806 | nParam = None | |
| 1807 |
|
1807 | |||
| 1808 | def __init__(self, **kwargs): |
|
1808 | def __init__(self, **kwargs): | |
| 1809 | Figure.__init__(self, **kwargs) |
|
1809 | Figure.__init__(self, **kwargs) | |
| 1810 | self.isConfig = False |
|
1810 | self.isConfig = False | |
| 1811 | self.__nsubplots = 1 |
|
1811 | self.__nsubplots = 1 | |
| 1812 |
|
1812 | |||
| 1813 | self.WIDTH = 750 |
|
1813 | self.WIDTH = 750 | |
| 1814 | self.HEIGHT = 250 |
|
1814 | self.HEIGHT = 250 | |
| 1815 | self.WIDTHPROF = 120 |
|
1815 | self.WIDTHPROF = 120 | |
| 1816 | self.HEIGHTPROF = 0 |
|
1816 | self.HEIGHTPROF = 0 | |
| 1817 | self.counter_imagwr = 0 |
|
1817 | self.counter_imagwr = 0 | |
| 1818 |
|
1818 | |||
| 1819 | self.PLOT_CODE = SPEC_CODE |
|
1819 | self.PLOT_CODE = SPEC_CODE | |
| 1820 |
|
1820 | |||
| 1821 | self.FTP_WEI = None |
|
1821 | self.FTP_WEI = None | |
| 1822 | self.EXP_CODE = None |
|
1822 | self.EXP_CODE = None | |
| 1823 | self.SUB_EXP_CODE = None |
|
1823 | self.SUB_EXP_CODE = None | |
| 1824 | self.PLOT_POS = None |
|
1824 | self.PLOT_POS = None | |
| 1825 |
|
1825 | |||
| 1826 | self.__xfilter_ena = False |
|
1826 | self.__xfilter_ena = False | |
| 1827 | self.__yfilter_ena = False |
|
1827 | self.__yfilter_ena = False | |
| 1828 |
|
1828 | |||
| 1829 | def getSubplots(self): |
|
1829 | def getSubplots(self): | |
| 1830 |
|
1830 | |||
| 1831 | ncol = 3 |
|
1831 | ncol = 3 | |
| 1832 | nrow = int(numpy.ceil(self.nplots/3.0)) |
|
1832 | nrow = int(numpy.ceil(self.nplots/3.0)) | |
| 1833 |
|
1833 | |||
| 1834 | return nrow, ncol |
|
1834 | return nrow, ncol | |
| 1835 |
|
1835 | |||
| 1836 | def setup(self, id, nplots, wintitle, show=True): |
|
1836 | def setup(self, id, nplots, wintitle, show=True): | |
| 1837 |
|
1837 | |||
| 1838 | self.nplots = nplots |
|
1838 | self.nplots = nplots | |
| 1839 |
|
1839 | |||
| 1840 | ncolspan = 1 |
|
1840 | ncolspan = 1 | |
| 1841 | colspan = 1 |
|
1841 | colspan = 1 | |
| 1842 |
|
1842 | |||
| 1843 | self.createFigure(id = id, |
|
1843 | self.createFigure(id = id, | |
| 1844 | wintitle = wintitle, |
|
1844 | wintitle = wintitle, | |
| 1845 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
1845 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 1846 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
1846 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 1847 | show=show) |
|
1847 | show=show) | |
| 1848 |
|
1848 | |||
| 1849 | nrow, ncol = self.getSubplots() |
|
1849 | nrow, ncol = self.getSubplots() | |
| 1850 |
|
1850 | |||
| 1851 | counter = 0 |
|
1851 | counter = 0 | |
| 1852 | for y in range(nrow): |
|
1852 | for y in range(nrow): | |
| 1853 | for x in range(ncol): |
|
1853 | for x in range(ncol): | |
| 1854 |
|
1854 | |||
| 1855 | if counter >= self.nplots: |
|
1855 | if counter >= self.nplots: | |
| 1856 | break |
|
1856 | break | |
| 1857 |
|
1857 | |||
| 1858 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
1858 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 1859 |
|
1859 | |||
| 1860 | counter += 1 |
|
1860 | counter += 1 | |
| 1861 |
|
1861 | |||
| 1862 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
1862 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, | |
| 1863 | xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None, |
|
1863 | xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None, | |
| 1864 | vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA', |
|
1864 | vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA', | |
| 1865 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
1865 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 1866 | server=None, folder=None, username=None, password=None, |
|
1866 | server=None, folder=None, username=None, password=None, | |
| 1867 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
1867 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, | |
| 1868 | xaxis="frequency"): |
|
1868 | xaxis="frequency"): | |
| 1869 |
|
1869 | |||
| 1870 | """ |
|
1870 | """ | |
| 1871 |
|
1871 | |||
| 1872 | Input: |
|
1872 | Input: | |
| 1873 | dataOut : |
|
1873 | dataOut : | |
| 1874 | id : |
|
1874 | id : | |
| 1875 | wintitle : |
|
1875 | wintitle : | |
| 1876 | channelList : |
|
1876 | channelList : | |
| 1877 | showProfile : |
|
1877 | showProfile : | |
| 1878 | xmin : None, |
|
1878 | xmin : None, | |
| 1879 | xmax : None, |
|
1879 | xmax : None, | |
| 1880 | ymin : None, |
|
1880 | ymin : None, | |
| 1881 | ymax : None, |
|
1881 | ymax : None, | |
| 1882 | zmin : None, |
|
1882 | zmin : None, | |
| 1883 | zmax : None |
|
1883 | zmax : None | |
| 1884 | """ |
|
1884 | """ | |
| 1885 | #SEPARAR EN DOS PLOTS |
|
1885 | #SEPARAR EN DOS PLOTS | |
| 1886 | nParam = dataOut.data_param.shape[1] - 3 |
|
1886 | nParam = dataOut.data_param.shape[1] - 3 | |
| 1887 |
|
1887 | |||
| 1888 | utctime = dataOut.data_param[0,0] |
|
1888 | utctime = dataOut.data_param[0,0] | |
| 1889 | tmet = dataOut.data_param[:,1].astype(int) |
|
1889 | tmet = dataOut.data_param[:,1].astype(int) | |
| 1890 | hmet = dataOut.data_param[:,2].astype(int) |
|
1890 | hmet = dataOut.data_param[:,2].astype(int) | |
| 1891 |
|
1891 | |||
| 1892 | x = dataOut.abscissaList |
|
1892 | x = dataOut.abscissaList | |
| 1893 | y = dataOut.heightList |
|
1893 | y = dataOut.heightList | |
| 1894 |
|
1894 | |||
| 1895 | z = numpy.zeros((nParam, y.size, x.size - 1)) |
|
1895 | z = numpy.zeros((nParam, y.size, x.size - 1)) | |
| 1896 | z[:,:] = numpy.nan |
|
1896 | z[:,:] = numpy.nan | |
| 1897 | z[:,hmet,tmet] = dataOut.data_param[:,3:].T |
|
1897 | z[:,hmet,tmet] = dataOut.data_param[:,3:].T | |
| 1898 | z[0,:,:] = 10*numpy.log10(z[0,:,:]) |
|
1898 | z[0,:,:] = 10*numpy.log10(z[0,:,:]) | |
| 1899 |
|
1899 | |||
| 1900 | xlabel = "Time (s)" |
|
1900 | xlabel = "Time (s)" | |
| 1901 | ylabel = "Range (km)" |
|
1901 | ylabel = "Range (km)" | |
| 1902 |
|
1902 | |||
| 1903 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
1903 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) | |
| 1904 |
|
1904 | |||
| 1905 | if not self.isConfig: |
|
1905 | if not self.isConfig: | |
| 1906 |
|
1906 | |||
| 1907 | nplots = nParam |
|
1907 | nplots = nParam | |
| 1908 |
|
1908 | |||
| 1909 | self.setup(id=id, |
|
1909 | self.setup(id=id, | |
| 1910 | nplots=nplots, |
|
1910 | nplots=nplots, | |
| 1911 | wintitle=wintitle, |
|
1911 | wintitle=wintitle, | |
| 1912 | show=show) |
|
1912 | show=show) | |
| 1913 |
|
1913 | |||
| 1914 | if xmin is None: xmin = numpy.nanmin(x) |
|
1914 | if xmin is None: xmin = numpy.nanmin(x) | |
| 1915 | if xmax is None: xmax = numpy.nanmax(x) |
|
1915 | if xmax is None: xmax = numpy.nanmax(x) | |
| 1916 | if ymin is None: ymin = numpy.nanmin(y) |
|
1916 | if ymin is None: ymin = numpy.nanmin(y) | |
| 1917 | if ymax is None: ymax = numpy.nanmax(y) |
|
1917 | if ymax is None: ymax = numpy.nanmax(y) | |
| 1918 | if SNRmin is None: SNRmin = numpy.nanmin(z[0,:]) |
|
1918 | if SNRmin is None: SNRmin = numpy.nanmin(z[0,:]) | |
| 1919 | if SNRmax is None: SNRmax = numpy.nanmax(z[0,:]) |
|
1919 | if SNRmax is None: SNRmax = numpy.nanmax(z[0,:]) | |
| 1920 | if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:])) |
|
1920 | if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:])) | |
| 1921 | if vmin is None: vmin = -vmax |
|
1921 | if vmin is None: vmin = -vmax | |
| 1922 | if wmin is None: wmin = 0 |
|
1922 | if wmin is None: wmin = 0 | |
| 1923 | if wmax is None: wmax = 50 |
|
1923 | if wmax is None: wmax = 50 | |
| 1924 |
|
1924 | |||
| 1925 | pairsList = dataOut.groupList |
|
1925 | pairsList = dataOut.groupList | |
| 1926 | self.nPairs = len(dataOut.groupList) |
|
1926 | self.nPairs = len(dataOut.groupList) | |
| 1927 |
|
1927 | |||
| 1928 | zminList = [SNRmin, vmin, cmin] + [pmin]*self.nPairs |
|
1928 | zminList = [SNRmin, vmin, cmin] + [pmin]*self.nPairs | |
| 1929 | zmaxList = [SNRmax, vmax, cmax] + [pmax]*self.nPairs |
|
1929 | zmaxList = [SNRmax, vmax, cmax] + [pmax]*self.nPairs | |
| 1930 | titleList = ["SNR","Radial Velocity","Coherence"] |
|
1930 | titleList = ["SNR","Radial Velocity","Coherence"] | |
| 1931 | cmapList = ["jet","RdBu_r","jet"] |
|
1931 | cmapList = ["jet","RdBu_r","jet"] | |
| 1932 |
|
1932 | |||
| 1933 | for i in range(self.nPairs): |
|
1933 | for i in range(self.nPairs): | |
| 1934 | strAux1 = "Phase Difference "+ str(pairsList[i][0]) + str(pairsList[i][1]) |
|
1934 | strAux1 = "Phase Difference "+ str(pairsList[i][0]) + str(pairsList[i][1]) | |
| 1935 | titleList = titleList + [strAux1] |
|
1935 | titleList = titleList + [strAux1] | |
| 1936 | cmapList = cmapList + ["RdBu_r"] |
|
1936 | cmapList = cmapList + ["RdBu_r"] | |
| 1937 |
|
1937 | |||
| 1938 | self.zminList = zminList |
|
1938 | self.zminList = zminList | |
| 1939 | self.zmaxList = zmaxList |
|
1939 | self.zmaxList = zmaxList | |
| 1940 | self.cmapList = cmapList |
|
1940 | self.cmapList = cmapList | |
| 1941 | self.titleList = titleList |
|
1941 | self.titleList = titleList | |
| 1942 |
|
1942 | |||
| 1943 | self.FTP_WEI = ftp_wei |
|
1943 | self.FTP_WEI = ftp_wei | |
| 1944 | self.EXP_CODE = exp_code |
|
1944 | self.EXP_CODE = exp_code | |
| 1945 | self.SUB_EXP_CODE = sub_exp_code |
|
1945 | self.SUB_EXP_CODE = sub_exp_code | |
| 1946 | self.PLOT_POS = plot_pos |
|
1946 | self.PLOT_POS = plot_pos | |
| 1947 |
|
1947 | |||
| 1948 | self.isConfig = True |
|
1948 | self.isConfig = True | |
| 1949 |
|
1949 | |||
| 1950 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
1950 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 1951 |
|
1951 | |||
| 1952 | for i in range(nParam): |
|
1952 | for i in range(nParam): | |
| 1953 | title = self.titleList[i] + ": " +str_datetime |
|
1953 | title = self.titleList[i] + ": " +str_datetime | |
| 1954 | axes = self.axesList[i] |
|
1954 | axes = self.axesList[i] | |
| 1955 | axes.pcolor(x, y, z[i,:].T, |
|
1955 | axes.pcolor(x, y, z[i,:].T, | |
| 1956 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i], |
|
1956 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i], | |
| 1957 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='') |
|
1957 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='') | |
| 1958 | self.draw() |
|
1958 | self.draw() | |
| 1959 |
|
1959 | |||
| 1960 | if figfile == None: |
|
1960 | if figfile == None: | |
| 1961 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
1961 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 1962 | name = str_datetime |
|
1962 | name = str_datetime | |
| 1963 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
1963 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 1964 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
1964 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) | |
| 1965 | figfile = self.getFilename(name) |
|
1965 | figfile = self.getFilename(name) | |
| 1966 |
|
1966 | |||
| 1967 | self.save(figpath=figpath, |
|
1967 | self.save(figpath=figpath, | |
| 1968 | figfile=figfile, |
|
1968 | figfile=figfile, | |
| 1969 | save=save, |
|
1969 | save=save, | |
| 1970 | ftp=ftp, |
|
1970 | ftp=ftp, | |
| 1971 | wr_period=wr_period, |
|
1971 | wr_period=wr_period, | |
| 1972 | thisDatetime=thisDatetime) |
|
1972 | thisDatetime=thisDatetime) | |
| 1973 |
|
1973 | |||
| 1974 |
|
1974 | |||
| 1975 | class NSMeteorDetection2Plot(Figure): |
|
1975 | class NSMeteorDetection2Plot(Figure): | |
| 1976 |
|
1976 | |||
| 1977 | isConfig = None |
|
1977 | isConfig = None | |
| 1978 | __nsubplots = None |
|
1978 | __nsubplots = None | |
| 1979 |
|
1979 | |||
| 1980 | WIDTHPROF = None |
|
1980 | WIDTHPROF = None | |
| 1981 | HEIGHTPROF = None |
|
1981 | HEIGHTPROF = None | |
| 1982 | PREFIX = 'nsm' |
|
1982 | PREFIX = 'nsm' | |
| 1983 |
|
1983 | |||
| 1984 | zminList = None |
|
1984 | zminList = None | |
| 1985 | zmaxList = None |
|
1985 | zmaxList = None | |
| 1986 | cmapList = None |
|
1986 | cmapList = None | |
| 1987 | titleList = None |
|
1987 | titleList = None | |
| 1988 | nPairs = None |
|
1988 | nPairs = None | |
| 1989 | nChannels = None |
|
1989 | nChannels = None | |
| 1990 | nParam = None |
|
1990 | nParam = None | |
| 1991 |
|
1991 | |||
| 1992 | def __init__(self, **kwargs): |
|
1992 | def __init__(self, **kwargs): | |
| 1993 | Figure.__init__(self, **kwargs) |
|
1993 | Figure.__init__(self, **kwargs) | |
| 1994 | self.isConfig = False |
|
1994 | self.isConfig = False | |
| 1995 | self.__nsubplots = 1 |
|
1995 | self.__nsubplots = 1 | |
| 1996 |
|
1996 | |||
| 1997 | self.WIDTH = 750 |
|
1997 | self.WIDTH = 750 | |
| 1998 | self.HEIGHT = 250 |
|
1998 | self.HEIGHT = 250 | |
| 1999 | self.WIDTHPROF = 120 |
|
1999 | self.WIDTHPROF = 120 | |
| 2000 | self.HEIGHTPROF = 0 |
|
2000 | self.HEIGHTPROF = 0 | |
| 2001 | self.counter_imagwr = 0 |
|
2001 | self.counter_imagwr = 0 | |
| 2002 |
|
2002 | |||
| 2003 | self.PLOT_CODE = SPEC_CODE |
|
2003 | self.PLOT_CODE = SPEC_CODE | |
| 2004 |
|
2004 | |||
| 2005 | self.FTP_WEI = None |
|
2005 | self.FTP_WEI = None | |
| 2006 | self.EXP_CODE = None |
|
2006 | self.EXP_CODE = None | |
| 2007 | self.SUB_EXP_CODE = None |
|
2007 | self.SUB_EXP_CODE = None | |
| 2008 | self.PLOT_POS = None |
|
2008 | self.PLOT_POS = None | |
| 2009 |
|
2009 | |||
| 2010 | self.__xfilter_ena = False |
|
2010 | self.__xfilter_ena = False | |
| 2011 | self.__yfilter_ena = False |
|
2011 | self.__yfilter_ena = False | |
| 2012 |
|
2012 | |||
| 2013 | def getSubplots(self): |
|
2013 | def getSubplots(self): | |
| 2014 |
|
2014 | |||
| 2015 | ncol = 3 |
|
2015 | ncol = 3 | |
| 2016 | nrow = int(numpy.ceil(self.nplots/3.0)) |
|
2016 | nrow = int(numpy.ceil(self.nplots/3.0)) | |
| 2017 |
|
2017 | |||
| 2018 | return nrow, ncol |
|
2018 | return nrow, ncol | |
| 2019 |
|
2019 | |||
| 2020 | def setup(self, id, nplots, wintitle, show=True): |
|
2020 | def setup(self, id, nplots, wintitle, show=True): | |
| 2021 |
|
2021 | |||
| 2022 | self.nplots = nplots |
|
2022 | self.nplots = nplots | |
| 2023 |
|
2023 | |||
| 2024 | ncolspan = 1 |
|
2024 | ncolspan = 1 | |
| 2025 | colspan = 1 |
|
2025 | colspan = 1 | |
| 2026 |
|
2026 | |||
| 2027 | self.createFigure(id = id, |
|
2027 | self.createFigure(id = id, | |
| 2028 | wintitle = wintitle, |
|
2028 | wintitle = wintitle, | |
| 2029 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
2029 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 2030 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
2030 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 2031 | show=show) |
|
2031 | show=show) | |
| 2032 |
|
2032 | |||
| 2033 | nrow, ncol = self.getSubplots() |
|
2033 | nrow, ncol = self.getSubplots() | |
| 2034 |
|
2034 | |||
| 2035 | counter = 0 |
|
2035 | counter = 0 | |
| 2036 | for y in range(nrow): |
|
2036 | for y in range(nrow): | |
| 2037 | for x in range(ncol): |
|
2037 | for x in range(ncol): | |
| 2038 |
|
2038 | |||
| 2039 | if counter >= self.nplots: |
|
2039 | if counter >= self.nplots: | |
| 2040 | break |
|
2040 | break | |
| 2041 |
|
2041 | |||
| 2042 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
2042 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 2043 |
|
2043 | |||
| 2044 | counter += 1 |
|
2044 | counter += 1 | |
| 2045 |
|
2045 | |||
| 2046 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
2046 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, | |
| 2047 | xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None, |
|
2047 | xmin=None, xmax=None, ymin=None, ymax=None, SNRmin=None, SNRmax=None, | |
| 2048 | vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA', |
|
2048 | vmin=None, vmax=None, wmin=None, wmax=None, mode = 'SA', | |
| 2049 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
2049 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 2050 | server=None, folder=None, username=None, password=None, |
|
2050 | server=None, folder=None, username=None, password=None, | |
| 2051 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
2051 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, | |
| 2052 | xaxis="frequency"): |
|
2052 | xaxis="frequency"): | |
| 2053 |
|
2053 | |||
| 2054 | """ |
|
2054 | """ | |
| 2055 |
|
2055 | |||
| 2056 | Input: |
|
2056 | Input: | |
| 2057 | dataOut : |
|
2057 | dataOut : | |
| 2058 | id : |
|
2058 | id : | |
| 2059 | wintitle : |
|
2059 | wintitle : | |
| 2060 | channelList : |
|
2060 | channelList : | |
| 2061 | showProfile : |
|
2061 | showProfile : | |
| 2062 | xmin : None, |
|
2062 | xmin : None, | |
| 2063 | xmax : None, |
|
2063 | xmax : None, | |
| 2064 | ymin : None, |
|
2064 | ymin : None, | |
| 2065 | ymax : None, |
|
2065 | ymax : None, | |
| 2066 | zmin : None, |
|
2066 | zmin : None, | |
| 2067 | zmax : None |
|
2067 | zmax : None | |
| 2068 | """ |
|
2068 | """ | |
| 2069 | #Rebuild matrix |
|
2069 | #Rebuild matrix | |
| 2070 | utctime = dataOut.data_param[0,0] |
|
2070 | utctime = dataOut.data_param[0,0] | |
| 2071 | cmet = dataOut.data_param[:,1].astype(int) |
|
2071 | cmet = dataOut.data_param[:,1].astype(int) | |
| 2072 | tmet = dataOut.data_param[:,2].astype(int) |
|
2072 | tmet = dataOut.data_param[:,2].astype(int) | |
| 2073 | hmet = dataOut.data_param[:,3].astype(int) |
|
2073 | hmet = dataOut.data_param[:,3].astype(int) | |
| 2074 |
|
2074 | |||
| 2075 | nParam = 3 |
|
2075 | nParam = 3 | |
| 2076 | nChan = len(dataOut.groupList) |
|
2076 | nChan = len(dataOut.groupList) | |
| 2077 | x = dataOut.abscissaList |
|
2077 | x = dataOut.abscissaList | |
| 2078 | y = dataOut.heightList |
|
2078 | y = dataOut.heightList | |
| 2079 |
|
2079 | |||
| 2080 | z = numpy.full((nChan, nParam, y.size, x.size - 1),numpy.nan) |
|
2080 | z = numpy.full((nChan, nParam, y.size, x.size - 1),numpy.nan) | |
| 2081 | z[cmet,:,hmet,tmet] = dataOut.data_param[:,4:] |
|
2081 | z[cmet,:,hmet,tmet] = dataOut.data_param[:,4:] | |
| 2082 | z[:,0,:,:] = 10*numpy.log10(z[:,0,:,:]) #logarithmic scale |
|
2082 | z[:,0,:,:] = 10*numpy.log10(z[:,0,:,:]) #logarithmic scale | |
| 2083 | z = numpy.reshape(z, (nChan*nParam, y.size, x.size-1)) |
|
2083 | z = numpy.reshape(z, (nChan*nParam, y.size, x.size-1)) | |
| 2084 |
|
2084 | |||
| 2085 | xlabel = "Time (s)" |
|
2085 | xlabel = "Time (s)" | |
| 2086 | ylabel = "Range (km)" |
|
2086 | ylabel = "Range (km)" | |
| 2087 |
|
2087 | |||
| 2088 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) |
|
2088 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.ltctime) | |
| 2089 |
|
2089 | |||
| 2090 | if not self.isConfig: |
|
2090 | if not self.isConfig: | |
| 2091 |
|
2091 | |||
| 2092 | nplots = nParam*nChan |
|
2092 | nplots = nParam*nChan | |
| 2093 |
|
2093 | |||
| 2094 | self.setup(id=id, |
|
2094 | self.setup(id=id, | |
| 2095 | nplots=nplots, |
|
2095 | nplots=nplots, | |
| 2096 | wintitle=wintitle, |
|
2096 | wintitle=wintitle, | |
| 2097 | show=show) |
|
2097 | show=show) | |
| 2098 |
|
2098 | |||
| 2099 | if xmin is None: xmin = numpy.nanmin(x) |
|
2099 | if xmin is None: xmin = numpy.nanmin(x) | |
| 2100 | if xmax is None: xmax = numpy.nanmax(x) |
|
2100 | if xmax is None: xmax = numpy.nanmax(x) | |
| 2101 | if ymin is None: ymin = numpy.nanmin(y) |
|
2101 | if ymin is None: ymin = numpy.nanmin(y) | |
| 2102 | if ymax is None: ymax = numpy.nanmax(y) |
|
2102 | if ymax is None: ymax = numpy.nanmax(y) | |
| 2103 | if SNRmin is None: SNRmin = numpy.nanmin(z[0,:]) |
|
2103 | if SNRmin is None: SNRmin = numpy.nanmin(z[0,:]) | |
| 2104 | if SNRmax is None: SNRmax = numpy.nanmax(z[0,:]) |
|
2104 | if SNRmax is None: SNRmax = numpy.nanmax(z[0,:]) | |
| 2105 | if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:])) |
|
2105 | if vmax is None: vmax = numpy.nanmax(numpy.abs(z[1,:])) | |
| 2106 | if vmin is None: vmin = -vmax |
|
2106 | if vmin is None: vmin = -vmax | |
| 2107 | if wmin is None: wmin = 0 |
|
2107 | if wmin is None: wmin = 0 | |
| 2108 | if wmax is None: wmax = 50 |
|
2108 | if wmax is None: wmax = 50 | |
| 2109 |
|
2109 | |||
| 2110 | self.nChannels = nChan |
|
2110 | self.nChannels = nChan | |
| 2111 |
|
2111 | |||
| 2112 | zminList = [] |
|
2112 | zminList = [] | |
| 2113 | zmaxList = [] |
|
2113 | zmaxList = [] | |
| 2114 | titleList = [] |
|
2114 | titleList = [] | |
| 2115 | cmapList = [] |
|
2115 | cmapList = [] | |
| 2116 | for i in range(self.nChannels): |
|
2116 | for i in range(self.nChannels): | |
| 2117 | strAux1 = "SNR Channel "+ str(i) |
|
2117 | strAux1 = "SNR Channel "+ str(i) | |
| 2118 | strAux2 = "Radial Velocity Channel "+ str(i) |
|
2118 | strAux2 = "Radial Velocity Channel "+ str(i) | |
| 2119 | strAux3 = "Spectral Width Channel "+ str(i) |
|
2119 | strAux3 = "Spectral Width Channel "+ str(i) | |
| 2120 |
|
2120 | |||
| 2121 | titleList = titleList + [strAux1,strAux2,strAux3] |
|
2121 | titleList = titleList + [strAux1,strAux2,strAux3] | |
| 2122 | cmapList = cmapList + ["jet","RdBu_r","jet"] |
|
2122 | cmapList = cmapList + ["jet","RdBu_r","jet"] | |
| 2123 | zminList = zminList + [SNRmin,vmin,wmin] |
|
2123 | zminList = zminList + [SNRmin,vmin,wmin] | |
| 2124 | zmaxList = zmaxList + [SNRmax,vmax,wmax] |
|
2124 | zmaxList = zmaxList + [SNRmax,vmax,wmax] | |
| 2125 |
|
2125 | |||
| 2126 | self.zminList = zminList |
|
2126 | self.zminList = zminList | |
| 2127 | self.zmaxList = zmaxList |
|
2127 | self.zmaxList = zmaxList | |
| 2128 | self.cmapList = cmapList |
|
2128 | self.cmapList = cmapList | |
| 2129 | self.titleList = titleList |
|
2129 | self.titleList = titleList | |
| 2130 |
|
2130 | |||
| 2131 | self.FTP_WEI = ftp_wei |
|
2131 | self.FTP_WEI = ftp_wei | |
| 2132 | self.EXP_CODE = exp_code |
|
2132 | self.EXP_CODE = exp_code | |
| 2133 | self.SUB_EXP_CODE = sub_exp_code |
|
2133 | self.SUB_EXP_CODE = sub_exp_code | |
| 2134 | self.PLOT_POS = plot_pos |
|
2134 | self.PLOT_POS = plot_pos | |
| 2135 |
|
2135 | |||
| 2136 | self.isConfig = True |
|
2136 | self.isConfig = True | |
| 2137 |
|
2137 | |||
| 2138 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
2138 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 2139 |
|
2139 | |||
| 2140 | for i in range(self.nplots): |
|
2140 | for i in range(self.nplots): | |
| 2141 | title = self.titleList[i] + ": " +str_datetime |
|
2141 | title = self.titleList[i] + ": " +str_datetime | |
| 2142 | axes = self.axesList[i] |
|
2142 | axes = self.axesList[i] | |
| 2143 | axes.pcolor(x, y, z[i,:].T, |
|
2143 | axes.pcolor(x, y, z[i,:].T, | |
| 2144 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i], |
|
2144 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=self.zminList[i], zmax=self.zmaxList[i], | |
| 2145 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='') |
|
2145 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=self.cmapList[i],ticksize=9, cblabel='') | |
| 2146 | self.draw() |
|
2146 | self.draw() | |
| 2147 |
|
2147 | |||
| 2148 | if figfile == None: |
|
2148 | if figfile == None: | |
| 2149 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
2149 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 2150 | name = str_datetime |
|
2150 | name = str_datetime | |
| 2151 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
2151 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 2152 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
2152 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) | |
| 2153 | figfile = self.getFilename(name) |
|
2153 | figfile = self.getFilename(name) | |
| 2154 |
|
2154 | |||
| 2155 | self.save(figpath=figpath, |
|
2155 | self.save(figpath=figpath, | |
| 2156 | figfile=figfile, |
|
2156 | figfile=figfile, | |
| 2157 | save=save, |
|
2157 | save=save, | |
| 2158 | ftp=ftp, |
|
2158 | ftp=ftp, | |
| 2159 | wr_period=wr_period, |
|
2159 | wr_period=wr_period, | |
| 2160 | thisDatetime=thisDatetime) |
|
2160 | thisDatetime=thisDatetime) | |
| @@ -1,1611 +1,1605 | |||||
| 1 | ''' |
|
1 | ''' | |
| 2 | Created on Jul 9, 2014 |
|
2 | Created on Jul 9, 2014 | |
| 3 |
|
3 | |||
| 4 | @author: roj-idl71 |
|
4 | @author: roj-idl71 | |
| 5 | ''' |
|
5 | ''' | |
| 6 | import os |
|
6 | import os | |
| 7 | import datetime |
|
7 | import datetime | |
| 8 | import numpy |
|
8 | import numpy | |
| 9 |
|
9 | |||
| 10 | import matplotlib.pyplot as plt |
|
10 | import matplotlib.pyplot as plt | |
| 11 |
|
11 | |||
| 12 | from figure import Figure, isRealtime, isTimeInHourRange |
|
12 | from figure import Figure, isRealtime, isTimeInHourRange | |
| 13 | from plotting_codes import * |
|
13 | from plotting_codes import * | |
| 14 | from matplotlib.pyplot import savefig |
|
14 | from matplotlib.pyplot import savefig | |
| 15 |
|
15 | |||
| 16 | class SpectraPlot(Figure): |
|
16 | class SpectraPlot(Figure): | |
| 17 |
|
17 | |||
| 18 | isConfig = None |
|
18 | isConfig = None | |
| 19 | __nsubplots = None |
|
19 | __nsubplots = None | |
| 20 |
|
20 | |||
| 21 | WIDTHPROF = None |
|
21 | WIDTHPROF = None | |
| 22 | HEIGHTPROF = None |
|
22 | HEIGHTPROF = None | |
| 23 | PREFIX = 'spc' |
|
23 | PREFIX = 'spc' | |
| 24 |
|
24 | |||
| 25 | def __init__(self, **kwargs): |
|
25 | def __init__(self, **kwargs): | |
| 26 | Figure.__init__(self, **kwargs) |
|
26 | Figure.__init__(self, **kwargs) | |
| 27 | self.isConfig = False |
|
27 | self.isConfig = False | |
| 28 | self.__nsubplots = 1 |
|
28 | self.__nsubplots = 1 | |
| 29 |
|
29 | |||
| 30 | self.WIDTH = 300 |
|
30 | self.WIDTH = 300 | |
| 31 | self.HEIGHT = 300 |
|
31 | self.HEIGHT = 300 | |
| 32 | self.WIDTHPROF = 120 |
|
32 | self.WIDTHPROF = 120 | |
| 33 | self.HEIGHTPROF = 0 |
|
33 | self.HEIGHTPROF = 0 | |
| 34 | self.counter_imagwr = 0 |
|
34 | self.counter_imagwr = 0 | |
| 35 |
|
35 | |||
| 36 | self.PLOT_CODE = SPEC_CODE |
|
36 | self.PLOT_CODE = SPEC_CODE | |
| 37 |
|
37 | |||
| 38 | self.FTP_WEI = None |
|
38 | self.FTP_WEI = None | |
| 39 | self.EXP_CODE = None |
|
39 | self.EXP_CODE = None | |
| 40 | self.SUB_EXP_CODE = None |
|
40 | self.SUB_EXP_CODE = None | |
| 41 | self.PLOT_POS = None |
|
41 | self.PLOT_POS = None | |
| 42 |
|
42 | |||
| 43 | self.__xfilter_ena = False |
|
43 | self.__xfilter_ena = False | |
| 44 | self.__yfilter_ena = False |
|
44 | self.__yfilter_ena = False | |
| 45 |
|
45 | |||
| 46 | self.indice=1 |
|
46 | self.indice=1 | |
| 47 |
|
47 | |||
| 48 | def getSubplots(self): |
|
48 | def getSubplots(self): | |
| 49 |
|
49 | |||
| 50 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
50 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
| 51 | nrow = int(self.nplots*1./ncol + 0.9) |
|
51 | nrow = int(self.nplots*1./ncol + 0.9) | |
| 52 |
|
52 | |||
| 53 | return nrow, ncol |
|
53 | return nrow, ncol | |
| 54 |
|
54 | |||
| 55 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
55 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 56 |
|
56 | |||
| 57 | self.__showprofile = showprofile |
|
57 | self.__showprofile = showprofile | |
| 58 | self.nplots = nplots |
|
58 | self.nplots = nplots | |
| 59 |
|
59 | |||
| 60 | ncolspan = 1 |
|
60 | ncolspan = 1 | |
| 61 | colspan = 1 |
|
61 | colspan = 1 | |
| 62 | if showprofile: |
|
62 | if showprofile: | |
| 63 | ncolspan = 3 |
|
63 | ncolspan = 3 | |
| 64 | colspan = 2 |
|
64 | colspan = 2 | |
| 65 | self.__nsubplots = 2 |
|
65 | self.__nsubplots = 2 | |
| 66 |
|
66 | |||
| 67 | self.createFigure(id = id, |
|
67 | self.createFigure(id = id, | |
| 68 | wintitle = wintitle, |
|
68 | wintitle = wintitle, | |
| 69 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
69 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 70 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
70 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 71 | show=show) |
|
71 | show=show) | |
| 72 |
|
72 | |||
| 73 | nrow, ncol = self.getSubplots() |
|
73 | nrow, ncol = self.getSubplots() | |
| 74 |
|
74 | |||
| 75 | counter = 0 |
|
75 | counter = 0 | |
| 76 | for y in range(nrow): |
|
76 | for y in range(nrow): | |
| 77 | for x in range(ncol): |
|
77 | for x in range(ncol): | |
| 78 |
|
78 | |||
| 79 | if counter >= self.nplots: |
|
79 | if counter >= self.nplots: | |
| 80 | break |
|
80 | break | |
| 81 |
|
81 | |||
| 82 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
82 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 83 |
|
83 | |||
| 84 | if showprofile: |
|
84 | if showprofile: | |
| 85 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
85 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 86 |
|
86 | |||
| 87 | counter += 1 |
|
87 | counter += 1 | |
| 88 |
|
88 | |||
| 89 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
89 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, | |
| 90 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
90 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 91 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
91 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 92 | server=None, folder=None, username=None, password=None, |
|
92 | server=None, folder=None, username=None, password=None, | |
| 93 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, |
|
93 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, | |
| 94 | xaxis="frequency", colormap='jet', normFactor=None): |
|
94 | xaxis="frequency", colormap='jet', normFactor=None): | |
| 95 |
|
95 | |||
| 96 | """ |
|
96 | """ | |
| 97 |
|
97 | |||
| 98 | Input: |
|
98 | Input: | |
| 99 | dataOut : |
|
99 | dataOut : | |
| 100 | id : |
|
100 | id : | |
| 101 | wintitle : |
|
101 | wintitle : | |
| 102 | channelList : |
|
102 | channelList : | |
| 103 | showProfile : |
|
103 | showProfile : | |
| 104 | xmin : None, |
|
104 | xmin : None, | |
| 105 | xmax : None, |
|
105 | xmax : None, | |
| 106 | ymin : None, |
|
106 | ymin : None, | |
| 107 | ymax : None, |
|
107 | ymax : None, | |
| 108 | zmin : None, |
|
108 | zmin : None, | |
| 109 | zmax : None |
|
109 | zmax : None | |
| 110 | """ |
|
110 | """ | |
| 111 | if realtime: |
|
111 | if realtime: | |
| 112 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
112 | if not(isRealtime(utcdatatime = dataOut.utctime)): | |
| 113 | print 'Skipping this plot function' |
|
113 | print 'Skipping this plot function' | |
| 114 | return |
|
114 | return | |
| 115 |
|
115 | |||
| 116 | if channelList == None: |
|
116 | if channelList == None: | |
| 117 | channelIndexList = dataOut.channelIndexList |
|
117 | channelIndexList = dataOut.channelIndexList | |
| 118 | else: |
|
118 | else: | |
| 119 | channelIndexList = [] |
|
119 | channelIndexList = [] | |
| 120 | for channel in channelList: |
|
120 | for channel in channelList: | |
| 121 | if channel not in dataOut.channelList: |
|
121 | if channel not in dataOut.channelList: | |
| 122 | raise ValueError, "Channel %d is not in dataOut.channelList" %channel |
|
122 | raise ValueError, "Channel %d is not in dataOut.channelList" %channel | |
| 123 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
123 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 124 |
|
124 | |||
| 125 | if normFactor is None: |
|
125 | if normFactor is None: | |
| 126 | factor = dataOut.normFactor |
|
126 | factor = dataOut.normFactor | |
| 127 | else: |
|
127 | else: | |
| 128 | factor = normFactor |
|
128 | factor = normFactor | |
| 129 | if xaxis == "frequency": |
|
129 | if xaxis == "frequency": | |
| 130 | x = dataOut.getFreqRange(1)/1000. |
|
130 | x = dataOut.getFreqRange(1)/1000. | |
| 131 | print 'FRECUENCIA MAXIMA', numpy.amax(x) |
|
|||
| 132 | asfasfasdfaf |
|
|||
| 133 | print '#######################################################' |
|
|||
| 134 | print 'xlen', len(x) |
|
|||
| 135 | print x |
|
|||
| 136 | print '#######################################################' |
|
|||
| 137 | xlabel = "Frequency (kHz)" |
|
131 | xlabel = "Frequency (kHz)" | |
| 138 |
|
132 | |||
| 139 | elif xaxis == "time": |
|
133 | elif xaxis == "time": | |
| 140 | x = dataOut.getAcfRange(1) |
|
134 | x = dataOut.getAcfRange(1) | |
| 141 | xlabel = "Time (ms)" |
|
135 | xlabel = "Time (ms)" | |
| 142 |
|
136 | |||
| 143 | else: |
|
137 | else: | |
| 144 | x = dataOut.getVelRange(1) |
|
138 | x = dataOut.getVelRange(1) | |
| 145 | xlabel = "Velocity (m/s)" |
|
139 | xlabel = "Velocity (m/s)" | |
| 146 |
|
140 | |||
| 147 | ylabel = "Range (Km)" |
|
141 | ylabel = "Range (Km)" | |
| 148 |
|
142 | |||
| 149 | y = dataOut.getHeiRange() |
|
143 | y = dataOut.getHeiRange() | |
| 150 |
|
144 | |||
| 151 | z = dataOut.data_spc/factor |
|
145 | z = dataOut.data_spc/factor | |
| 152 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
146 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 153 | zdB = 10*numpy.log10(z) |
|
147 | zdB = 10*numpy.log10(z) | |
| 154 |
|
148 | |||
| 155 | avg = numpy.average(z, axis=1) |
|
149 | avg = numpy.average(z, axis=1) | |
| 156 | avgdB = 10*numpy.log10(avg) |
|
150 | avgdB = 10*numpy.log10(avg) | |
| 157 |
|
151 | |||
| 158 | noise = dataOut.getNoise()/factor |
|
152 | noise = dataOut.getNoise()/factor | |
| 159 | noisedB = 10*numpy.log10(noise) |
|
153 | noisedB = 10*numpy.log10(noise) | |
| 160 |
|
154 | |||
| 161 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
155 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 162 | title = wintitle + " Spectra" |
|
156 | title = wintitle + " Spectra" | |
| 163 |
|
157 | |||
| 164 |
|
158 | |||
| 165 |
|
159 | |||
| 166 | print 'len de X',len(x), numpy.shape(x), 'len de spc line',len(dataOut.data_spc[1,:,15]), numpy.shape(dataOut.data_spc) |
|
160 | print 'len de X',len(x), numpy.shape(x), 'len de spc line',len(dataOut.data_spc[1,:,15]), numpy.shape(dataOut.data_spc) | |
| 167 | print 'Altura:', y[0], y[1], y[13], y[14], y[10] |
|
161 | print 'Altura:', y[0], y[1], y[13], y[14], y[10] | |
| 168 | #a=z[1,:,15] |
|
162 | #a=z[1,:,15] | |
| 169 |
|
163 | |||
| 170 | # fig = plt.figure(10+self.indice) |
|
164 | # fig = plt.figure(10+self.indice) | |
| 171 | # plt.plot( x[0:128], zdB[0,:,10] ) |
|
165 | # plt.plot( x[0:128], zdB[0,:,10] ) | |
| 172 | # plt.axis([-12, 12, 15, 50]) |
|
166 | # plt.axis([-12, 12, 15, 50]) | |
| 173 | # plt.title(" %s" %( '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))) ) |
|
167 | # plt.title(" %s" %( '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))) ) | |
| 174 | # plt.ylabel('Intensidad [dB]') |
|
168 | # plt.ylabel('Intensidad [dB]') | |
| 175 | # plt.xlabel('Velocidad [m/s]') |
|
169 | # plt.xlabel('Velocidad [m/s]') | |
| 176 | # fig.savefig('/home/erick/Documents/Pics/to{}.png'.format(self.indice)) |
|
170 | # fig.savefig('/home/erick/Documents/Pics/to{}.png'.format(self.indice)) | |
| 177 | # |
|
171 | # | |
| 178 | # plt.show() |
|
172 | # plt.show() | |
| 179 | # |
|
173 | # | |
| 180 | # self.indice=self.indice+1 |
|
174 | # self.indice=self.indice+1 | |
| 181 |
|
175 | |||
| 182 |
|
176 | |||
| 183 |
|
177 | |||
| 184 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
178 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 185 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
179 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) | |
| 186 |
|
180 | |||
| 187 | if not self.isConfig: |
|
181 | if not self.isConfig: | |
| 188 |
|
182 | |||
| 189 | nplots = len(channelIndexList) |
|
183 | nplots = len(channelIndexList) | |
| 190 |
|
184 | |||
| 191 | self.setup(id=id, |
|
185 | self.setup(id=id, | |
| 192 | nplots=nplots, |
|
186 | nplots=nplots, | |
| 193 | wintitle=wintitle, |
|
187 | wintitle=wintitle, | |
| 194 | showprofile=showprofile, |
|
188 | showprofile=showprofile, | |
| 195 | show=show) |
|
189 | show=show) | |
| 196 |
|
190 | |||
| 197 | if xmin == None: xmin = numpy.nanmin(x) |
|
191 | if xmin == None: xmin = numpy.nanmin(x) | |
| 198 | if xmax == None: xmax = numpy.nanmax(x) |
|
192 | if xmax == None: xmax = numpy.nanmax(x) | |
| 199 | if ymin == None: ymin = numpy.nanmin(y) |
|
193 | if ymin == None: ymin = numpy.nanmin(y) | |
| 200 | if ymax == None: ymax = numpy.nanmax(y) |
|
194 | if ymax == None: ymax = numpy.nanmax(y) | |
| 201 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
195 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 | |
| 202 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
196 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 | |
| 203 |
|
197 | |||
| 204 | self.FTP_WEI = ftp_wei |
|
198 | self.FTP_WEI = ftp_wei | |
| 205 | self.EXP_CODE = exp_code |
|
199 | self.EXP_CODE = exp_code | |
| 206 | self.SUB_EXP_CODE = sub_exp_code |
|
200 | self.SUB_EXP_CODE = sub_exp_code | |
| 207 | self.PLOT_POS = plot_pos |
|
201 | self.PLOT_POS = plot_pos | |
| 208 |
|
202 | |||
| 209 | self.isConfig = True |
|
203 | self.isConfig = True | |
| 210 |
|
204 | |||
| 211 | self.setWinTitle(title) |
|
205 | self.setWinTitle(title) | |
| 212 |
|
206 | |||
| 213 | for i in range(self.nplots): |
|
207 | for i in range(self.nplots): | |
| 214 | index = channelIndexList[i] |
|
208 | index = channelIndexList[i] | |
| 215 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
209 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 216 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) |
|
210 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) | |
| 217 | if len(dataOut.beam.codeList) != 0: |
|
211 | if len(dataOut.beam.codeList) != 0: | |
| 218 | title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[index], noisedB[index], dataOut.beam.azimuthList[index], dataOut.beam.zenithList[index], str_datetime) |
|
212 | title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[index], noisedB[index], dataOut.beam.azimuthList[index], dataOut.beam.zenithList[index], str_datetime) | |
| 219 |
|
213 | |||
| 220 | axes = self.axesList[i*self.__nsubplots] |
|
214 | axes = self.axesList[i*self.__nsubplots] | |
| 221 | axes.pcolor(x, y, zdB[index,:,:], |
|
215 | axes.pcolor(x, y, zdB[index,:,:], | |
| 222 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
216 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 223 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=colormap, |
|
217 | xlabel=xlabel, ylabel=ylabel, title=title, colormap=colormap, | |
| 224 | ticksize=9, cblabel='') |
|
218 | ticksize=9, cblabel='') | |
| 225 |
|
219 | |||
| 226 | if self.__showprofile: |
|
220 | if self.__showprofile: | |
| 227 | axes = self.axesList[i*self.__nsubplots +1] |
|
221 | axes = self.axesList[i*self.__nsubplots +1] | |
| 228 | axes.pline(avgdB[index,:], y, |
|
222 | axes.pline(avgdB[index,:], y, | |
| 229 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
223 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
| 230 | xlabel='dB', ylabel='', title='', |
|
224 | xlabel='dB', ylabel='', title='', | |
| 231 | ytick_visible=False, |
|
225 | ytick_visible=False, | |
| 232 | grid='x') |
|
226 | grid='x') | |
| 233 |
|
227 | |||
| 234 | noiseline = numpy.repeat(noisedB[index], len(y)) |
|
228 | noiseline = numpy.repeat(noisedB[index], len(y)) | |
| 235 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
229 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) | |
| 236 |
|
230 | |||
| 237 | self.draw() |
|
231 | self.draw() | |
| 238 |
|
232 | |||
| 239 | if figfile == None: |
|
233 | if figfile == None: | |
| 240 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
234 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 241 | name = str_datetime |
|
235 | name = str_datetime | |
| 242 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
236 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 243 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
237 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) | |
| 244 | figfile = self.getFilename(name) |
|
238 | figfile = self.getFilename(name) | |
| 245 |
|
239 | |||
| 246 | self.save(figpath=figpath, |
|
240 | self.save(figpath=figpath, | |
| 247 | figfile=figfile, |
|
241 | figfile=figfile, | |
| 248 | save=save, |
|
242 | save=save, | |
| 249 | ftp=ftp, |
|
243 | ftp=ftp, | |
| 250 | wr_period=wr_period, |
|
244 | wr_period=wr_period, | |
| 251 | thisDatetime=thisDatetime) |
|
245 | thisDatetime=thisDatetime) | |
| 252 |
|
246 | |||
| 253 |
|
247 | |||
| 254 | class CrossSpectraPlot(Figure): |
|
248 | class CrossSpectraPlot(Figure): | |
| 255 |
|
249 | |||
| 256 | isConfig = None |
|
250 | isConfig = None | |
| 257 | __nsubplots = None |
|
251 | __nsubplots = None | |
| 258 |
|
252 | |||
| 259 | WIDTH = None |
|
253 | WIDTH = None | |
| 260 | HEIGHT = None |
|
254 | HEIGHT = None | |
| 261 | WIDTHPROF = None |
|
255 | WIDTHPROF = None | |
| 262 | HEIGHTPROF = None |
|
256 | HEIGHTPROF = None | |
| 263 | PREFIX = 'cspc' |
|
257 | PREFIX = 'cspc' | |
| 264 |
|
258 | |||
| 265 | def __init__(self, **kwargs): |
|
259 | def __init__(self, **kwargs): | |
| 266 | Figure.__init__(self, **kwargs) |
|
260 | Figure.__init__(self, **kwargs) | |
| 267 | self.isConfig = False |
|
261 | self.isConfig = False | |
| 268 | self.__nsubplots = 4 |
|
262 | self.__nsubplots = 4 | |
| 269 | self.counter_imagwr = 0 |
|
263 | self.counter_imagwr = 0 | |
| 270 | self.WIDTH = 250 |
|
264 | self.WIDTH = 250 | |
| 271 | self.HEIGHT = 250 |
|
265 | self.HEIGHT = 250 | |
| 272 | self.WIDTHPROF = 0 |
|
266 | self.WIDTHPROF = 0 | |
| 273 | self.HEIGHTPROF = 0 |
|
267 | self.HEIGHTPROF = 0 | |
| 274 |
|
268 | |||
| 275 | self.PLOT_CODE = CROSS_CODE |
|
269 | self.PLOT_CODE = CROSS_CODE | |
| 276 | self.FTP_WEI = None |
|
270 | self.FTP_WEI = None | |
| 277 | self.EXP_CODE = None |
|
271 | self.EXP_CODE = None | |
| 278 | self.SUB_EXP_CODE = None |
|
272 | self.SUB_EXP_CODE = None | |
| 279 | self.PLOT_POS = None |
|
273 | self.PLOT_POS = None | |
| 280 |
|
274 | |||
| 281 | self.indice=0 |
|
275 | self.indice=0 | |
| 282 |
|
276 | |||
| 283 | def getSubplots(self): |
|
277 | def getSubplots(self): | |
| 284 |
|
278 | |||
| 285 | ncol = 4 |
|
279 | ncol = 4 | |
| 286 | nrow = self.nplots |
|
280 | nrow = self.nplots | |
| 287 |
|
281 | |||
| 288 | return nrow, ncol |
|
282 | return nrow, ncol | |
| 289 |
|
283 | |||
| 290 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
284 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 291 |
|
285 | |||
| 292 | self.__showprofile = showprofile |
|
286 | self.__showprofile = showprofile | |
| 293 | self.nplots = nplots |
|
287 | self.nplots = nplots | |
| 294 |
|
288 | |||
| 295 | ncolspan = 1 |
|
289 | ncolspan = 1 | |
| 296 | colspan = 1 |
|
290 | colspan = 1 | |
| 297 |
|
291 | |||
| 298 | self.createFigure(id = id, |
|
292 | self.createFigure(id = id, | |
| 299 | wintitle = wintitle, |
|
293 | wintitle = wintitle, | |
| 300 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
294 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 301 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
295 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 302 | show=True) |
|
296 | show=True) | |
| 303 |
|
297 | |||
| 304 | nrow, ncol = self.getSubplots() |
|
298 | nrow, ncol = self.getSubplots() | |
| 305 |
|
299 | |||
| 306 | counter = 0 |
|
300 | counter = 0 | |
| 307 | for y in range(nrow): |
|
301 | for y in range(nrow): | |
| 308 | for x in range(ncol): |
|
302 | for x in range(ncol): | |
| 309 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
303 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 310 |
|
304 | |||
| 311 | counter += 1 |
|
305 | counter += 1 | |
| 312 |
|
306 | |||
| 313 | def run(self, dataOut, id, wintitle="", pairsList=None, |
|
307 | def run(self, dataOut, id, wintitle="", pairsList=None, | |
| 314 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
308 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 315 | coh_min=None, coh_max=None, phase_min=None, phase_max=None, |
|
309 | coh_min=None, coh_max=None, phase_min=None, phase_max=None, | |
| 316 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, |
|
310 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, | |
| 317 | power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', show=True, |
|
311 | power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', show=True, | |
| 318 | server=None, folder=None, username=None, password=None, |
|
312 | server=None, folder=None, username=None, password=None, | |
| 319 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, normFactor=None, |
|
313 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, normFactor=None, | |
| 320 | xaxis='frequency'): |
|
314 | xaxis='frequency'): | |
| 321 |
|
315 | |||
| 322 | """ |
|
316 | """ | |
| 323 |
|
317 | |||
| 324 | Input: |
|
318 | Input: | |
| 325 | dataOut : |
|
319 | dataOut : | |
| 326 | id : |
|
320 | id : | |
| 327 | wintitle : |
|
321 | wintitle : | |
| 328 | channelList : |
|
322 | channelList : | |
| 329 | showProfile : |
|
323 | showProfile : | |
| 330 | xmin : None, |
|
324 | xmin : None, | |
| 331 | xmax : None, |
|
325 | xmax : None, | |
| 332 | ymin : None, |
|
326 | ymin : None, | |
| 333 | ymax : None, |
|
327 | ymax : None, | |
| 334 | zmin : None, |
|
328 | zmin : None, | |
| 335 | zmax : None |
|
329 | zmax : None | |
| 336 | """ |
|
330 | """ | |
| 337 |
|
331 | |||
| 338 | if pairsList == None: |
|
332 | if pairsList == None: | |
| 339 | pairsIndexList = dataOut.pairsIndexList |
|
333 | pairsIndexList = dataOut.pairsIndexList | |
| 340 | else: |
|
334 | else: | |
| 341 | pairsIndexList = [] |
|
335 | pairsIndexList = [] | |
| 342 | for pair in pairsList: |
|
336 | for pair in pairsList: | |
| 343 | if pair not in dataOut.pairsList: |
|
337 | if pair not in dataOut.pairsList: | |
| 344 | raise ValueError, "Pair %s is not in dataOut.pairsList" %str(pair) |
|
338 | raise ValueError, "Pair %s is not in dataOut.pairsList" %str(pair) | |
| 345 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
339 | pairsIndexList.append(dataOut.pairsList.index(pair)) | |
| 346 |
|
340 | |||
| 347 | if not pairsIndexList: |
|
341 | if not pairsIndexList: | |
| 348 | return |
|
342 | return | |
| 349 |
|
343 | |||
| 350 | if len(pairsIndexList) > 4: |
|
344 | if len(pairsIndexList) > 4: | |
| 351 | pairsIndexList = pairsIndexList[0:4] |
|
345 | pairsIndexList = pairsIndexList[0:4] | |
| 352 |
|
346 | |||
| 353 | if normFactor is None: |
|
347 | if normFactor is None: | |
| 354 | factor = dataOut.normFactor |
|
348 | factor = dataOut.normFactor | |
| 355 | else: |
|
349 | else: | |
| 356 | factor = normFactor |
|
350 | factor = normFactor | |
| 357 | x = dataOut.getVelRange(1) |
|
351 | x = dataOut.getVelRange(1) | |
| 358 | y = dataOut.getHeiRange() |
|
352 | y = dataOut.getHeiRange() | |
| 359 | z = dataOut.data_spc[:,:,:]/factor |
|
353 | z = dataOut.data_spc[:,:,:]/factor | |
| 360 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
354 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 361 |
|
355 | |||
| 362 | noise = dataOut.noise/factor |
|
356 | noise = dataOut.noise/factor | |
| 363 |
|
357 | |||
| 364 | zdB = 10*numpy.log10(z) |
|
358 | zdB = 10*numpy.log10(z) | |
| 365 | noisedB = 10*numpy.log10(noise) |
|
359 | noisedB = 10*numpy.log10(noise) | |
| 366 |
|
360 | |||
| 367 | if coh_min == None: |
|
361 | if coh_min == None: | |
| 368 | coh_min = 0.0 |
|
362 | coh_min = 0.0 | |
| 369 | if coh_max == None: |
|
363 | if coh_max == None: | |
| 370 | coh_max = 1.0 |
|
364 | coh_max = 1.0 | |
| 371 |
|
365 | |||
| 372 | if phase_min == None: |
|
366 | if phase_min == None: | |
| 373 | phase_min = -180 |
|
367 | phase_min = -180 | |
| 374 | if phase_max == None: |
|
368 | if phase_max == None: | |
| 375 | phase_max = 180 |
|
369 | phase_max = 180 | |
| 376 |
|
370 | |||
| 377 | #thisDatetime = dataOut.datatime |
|
371 | #thisDatetime = dataOut.datatime | |
| 378 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
372 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 379 | title = wintitle + " Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
373 | title = wintitle + " Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 380 | # xlabel = "Velocity (m/s)" |
|
374 | # xlabel = "Velocity (m/s)" | |
| 381 | ylabel = "Range (Km)" |
|
375 | ylabel = "Range (Km)" | |
| 382 |
|
376 | |||
| 383 | if xaxis == "frequency": |
|
377 | if xaxis == "frequency": | |
| 384 | x = dataOut.getFreqRange(1)/1000. |
|
378 | x = dataOut.getFreqRange(1)/1000. | |
| 385 | xlabel = "Frequency (kHz)" |
|
379 | xlabel = "Frequency (kHz)" | |
| 386 |
|
380 | |||
| 387 | elif xaxis == "time": |
|
381 | elif xaxis == "time": | |
| 388 | x = dataOut.getAcfRange(1) |
|
382 | x = dataOut.getAcfRange(1) | |
| 389 | xlabel = "Time (ms)" |
|
383 | xlabel = "Time (ms)" | |
| 390 |
|
384 | |||
| 391 | else: |
|
385 | else: | |
| 392 | x = dataOut.getVelRange(1) |
|
386 | x = dataOut.getVelRange(1) | |
| 393 | xlabel = "Velocity (m/s)" |
|
387 | xlabel = "Velocity (m/s)" | |
| 394 |
|
388 | |||
| 395 | if not self.isConfig: |
|
389 | if not self.isConfig: | |
| 396 |
|
390 | |||
| 397 | nplots = len(pairsIndexList) |
|
391 | nplots = len(pairsIndexList) | |
| 398 |
|
392 | |||
| 399 | self.setup(id=id, |
|
393 | self.setup(id=id, | |
| 400 | nplots=nplots, |
|
394 | nplots=nplots, | |
| 401 | wintitle=wintitle, |
|
395 | wintitle=wintitle, | |
| 402 | showprofile=False, |
|
396 | showprofile=False, | |
| 403 | show=show) |
|
397 | show=show) | |
| 404 |
|
398 | |||
| 405 | avg = numpy.abs(numpy.average(z, axis=1)) |
|
399 | avg = numpy.abs(numpy.average(z, axis=1)) | |
| 406 | avgdB = 10*numpy.log10(avg) |
|
400 | avgdB = 10*numpy.log10(avg) | |
| 407 |
|
401 | |||
| 408 | if xmin == None: xmin = numpy.nanmin(x) |
|
402 | if xmin == None: xmin = numpy.nanmin(x) | |
| 409 | if xmax == None: xmax = numpy.nanmax(x) |
|
403 | if xmax == None: xmax = numpy.nanmax(x) | |
| 410 | if ymin == None: ymin = numpy.nanmin(y) |
|
404 | if ymin == None: ymin = numpy.nanmin(y) | |
| 411 | if ymax == None: ymax = numpy.nanmax(y) |
|
405 | if ymax == None: ymax = numpy.nanmax(y) | |
| 412 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
406 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 | |
| 413 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
407 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 | |
| 414 |
|
408 | |||
| 415 | self.FTP_WEI = ftp_wei |
|
409 | self.FTP_WEI = ftp_wei | |
| 416 | self.EXP_CODE = exp_code |
|
410 | self.EXP_CODE = exp_code | |
| 417 | self.SUB_EXP_CODE = sub_exp_code |
|
411 | self.SUB_EXP_CODE = sub_exp_code | |
| 418 | self.PLOT_POS = plot_pos |
|
412 | self.PLOT_POS = plot_pos | |
| 419 |
|
413 | |||
| 420 | self.isConfig = True |
|
414 | self.isConfig = True | |
| 421 |
|
415 | |||
| 422 | self.setWinTitle(title) |
|
416 | self.setWinTitle(title) | |
| 423 |
|
417 | |||
| 424 |
|
418 | |||
| 425 | for i in range(self.nplots): |
|
419 | for i in range(self.nplots): | |
| 426 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
420 | pair = dataOut.pairsList[pairsIndexList[i]] | |
| 427 |
|
421 | |||
| 428 | chan_index0 = dataOut.channelList.index(pair[0]) |
|
422 | chan_index0 = dataOut.channelList.index(pair[0]) | |
| 429 | chan_index1 = dataOut.channelList.index(pair[1]) |
|
423 | chan_index1 = dataOut.channelList.index(pair[1]) | |
| 430 |
|
424 | |||
| 431 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
425 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 432 | title = "Ch%d: %4.2fdB: %s" %(pair[0], noisedB[chan_index0], str_datetime) |
|
426 | title = "Ch%d: %4.2fdB: %s" %(pair[0], noisedB[chan_index0], str_datetime) | |
| 433 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index0,:,:]/factor) |
|
427 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index0,:,:]/factor) | |
| 434 | axes0 = self.axesList[i*self.__nsubplots] |
|
428 | axes0 = self.axesList[i*self.__nsubplots] | |
| 435 | axes0.pcolor(x, y, zdB, |
|
429 | axes0.pcolor(x, y, zdB, | |
| 436 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
430 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 437 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
431 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 438 | ticksize=9, colormap=power_cmap, cblabel='') |
|
432 | ticksize=9, colormap=power_cmap, cblabel='') | |
| 439 |
|
433 | |||
| 440 | title = "Ch%d: %4.2fdB: %s" %(pair[1], noisedB[chan_index1], str_datetime) |
|
434 | title = "Ch%d: %4.2fdB: %s" %(pair[1], noisedB[chan_index1], str_datetime) | |
| 441 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index1,:,:]/factor) |
|
435 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index1,:,:]/factor) | |
| 442 | axes0 = self.axesList[i*self.__nsubplots+1] |
|
436 | axes0 = self.axesList[i*self.__nsubplots+1] | |
| 443 | axes0.pcolor(x, y, zdB, |
|
437 | axes0.pcolor(x, y, zdB, | |
| 444 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
438 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 445 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
439 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 446 | ticksize=9, colormap=power_cmap, cblabel='') |
|
440 | ticksize=9, colormap=power_cmap, cblabel='') | |
| 447 |
|
441 | |||
| 448 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:] / numpy.sqrt( dataOut.data_spc[chan_index0,:,:]*dataOut.data_spc[chan_index1,:,:] ) |
|
442 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:] / numpy.sqrt( dataOut.data_spc[chan_index0,:,:]*dataOut.data_spc[chan_index1,:,:] ) | |
| 449 | coherence = numpy.abs(coherenceComplex) |
|
443 | coherence = numpy.abs(coherenceComplex) | |
| 450 | # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi |
|
444 | # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi | |
| 451 | phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi |
|
445 | phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi | |
| 452 |
|
446 | |||
| 453 |
|
447 | |||
| 454 |
|
448 | |||
| 455 |
|
449 | |||
| 456 | # #print 'FASE', numpy.shape(phase), y[25] |
|
450 | # #print 'FASE', numpy.shape(phase), y[25] | |
| 457 | # fig = plt.figure(10+self.indice) |
|
451 | # fig = plt.figure(10+self.indice) | |
| 458 | # #plt.plot( x[0:256],coherence[:,25] ) |
|
452 | # #plt.plot( x[0:256],coherence[:,25] ) | |
| 459 | # cohAv = numpy.average(coherence,1) |
|
453 | # cohAv = numpy.average(coherence,1) | |
| 460 | # |
|
454 | # | |
| 461 | # plt.plot( x[0:256],cohAv ) |
|
455 | # plt.plot( x[0:256],cohAv ) | |
| 462 | # #plt.axis([-12, 12, 15, 50]) |
|
456 | # #plt.axis([-12, 12, 15, 50]) | |
| 463 | # plt.title("%s" %( '%s %s, Channel %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S") , i))) |
|
457 | # plt.title("%s" %( '%s %s, Channel %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S") , i))) | |
| 464 | # plt.ylabel('Desfase [grados]') |
|
458 | # plt.ylabel('Desfase [grados]') | |
| 465 | # plt.xlabel('Velocidad [m/s]') |
|
459 | # plt.xlabel('Velocidad [m/s]') | |
| 466 | # fig.savefig('/home/erick/Documents/Pics/to{}.png'.format(self.indice)) |
|
460 | # fig.savefig('/home/erick/Documents/Pics/to{}.png'.format(self.indice)) | |
| 467 | # |
|
461 | # | |
| 468 | # plt.show() |
|
462 | # plt.show() | |
| 469 | # self.indice=self.indice+1 |
|
463 | # self.indice=self.indice+1 | |
| 470 |
|
464 | |||
| 471 |
|
465 | |||
| 472 | # print 'FASE', numpy.shape(phase), y[25] |
|
466 | # print 'FASE', numpy.shape(phase), y[25] | |
| 473 | # fig = plt.figure(10+self.indice) |
|
467 | # fig = plt.figure(10+self.indice) | |
| 474 | # plt.plot( x[0:256],phase[:,25] ) |
|
468 | # plt.plot( x[0:256],phase[:,25] ) | |
| 475 | # #plt.axis([-12, 12, 15, 50]) |
|
469 | # #plt.axis([-12, 12, 15, 50]) | |
| 476 | # plt.title("%s" %( '%s %s, Channel %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S") , i))) |
|
470 | # plt.title("%s" %( '%s %s, Channel %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S") , i))) | |
| 477 | # plt.ylabel('Desfase [grados]') |
|
471 | # plt.ylabel('Desfase [grados]') | |
| 478 | # plt.xlabel('Velocidad [m/s]') |
|
472 | # plt.xlabel('Velocidad [m/s]') | |
| 479 | # fig.savefig('/home/erick/Documents/Pics/to{}.png'.format(self.indice)) |
|
473 | # fig.savefig('/home/erick/Documents/Pics/to{}.png'.format(self.indice)) | |
| 480 | # |
|
474 | # | |
| 481 | # plt.show() |
|
475 | # plt.show() | |
| 482 | # self.indice=self.indice+1 |
|
476 | # self.indice=self.indice+1 | |
| 483 |
|
477 | |||
| 484 |
|
478 | |||
| 485 |
|
479 | |||
| 486 |
|
480 | |||
| 487 | title = "Coherence Ch%d * Ch%d" %(pair[0], pair[1]) |
|
481 | title = "Coherence Ch%d * Ch%d" %(pair[0], pair[1]) | |
| 488 | axes0 = self.axesList[i*self.__nsubplots+2] |
|
482 | axes0 = self.axesList[i*self.__nsubplots+2] | |
| 489 | axes0.pcolor(x, y, coherence, |
|
483 | axes0.pcolor(x, y, coherence, | |
| 490 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=coh_min, zmax=coh_max, |
|
484 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=coh_min, zmax=coh_max, | |
| 491 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
485 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 492 | ticksize=9, colormap=coherence_cmap, cblabel='') |
|
486 | ticksize=9, colormap=coherence_cmap, cblabel='') | |
| 493 |
|
487 | |||
| 494 | title = "Phase Ch%d * Ch%d" %(pair[0], pair[1]) |
|
488 | title = "Phase Ch%d * Ch%d" %(pair[0], pair[1]) | |
| 495 | axes0 = self.axesList[i*self.__nsubplots+3] |
|
489 | axes0 = self.axesList[i*self.__nsubplots+3] | |
| 496 | axes0.pcolor(x, y, phase, |
|
490 | axes0.pcolor(x, y, phase, | |
| 497 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, |
|
491 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, | |
| 498 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
492 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 499 | ticksize=9, colormap=phase_cmap, cblabel='') |
|
493 | ticksize=9, colormap=phase_cmap, cblabel='') | |
| 500 |
|
494 | |||
| 501 |
|
495 | |||
| 502 |
|
496 | |||
| 503 | self.draw() |
|
497 | self.draw() | |
| 504 |
|
498 | |||
| 505 | self.save(figpath=figpath, |
|
499 | self.save(figpath=figpath, | |
| 506 | figfile=figfile, |
|
500 | figfile=figfile, | |
| 507 | save=save, |
|
501 | save=save, | |
| 508 | ftp=ftp, |
|
502 | ftp=ftp, | |
| 509 | wr_period=wr_period, |
|
503 | wr_period=wr_period, | |
| 510 | thisDatetime=thisDatetime) |
|
504 | thisDatetime=thisDatetime) | |
| 511 |
|
505 | |||
| 512 |
|
506 | |||
| 513 | class RTIPlot(Figure): |
|
507 | class RTIPlot(Figure): | |
| 514 |
|
508 | |||
| 515 | __isConfig = None |
|
509 | __isConfig = None | |
| 516 | __nsubplots = None |
|
510 | __nsubplots = None | |
| 517 |
|
511 | |||
| 518 | WIDTHPROF = None |
|
512 | WIDTHPROF = None | |
| 519 | HEIGHTPROF = None |
|
513 | HEIGHTPROF = None | |
| 520 | PREFIX = 'rti' |
|
514 | PREFIX = 'rti' | |
| 521 |
|
515 | |||
| 522 | def __init__(self, **kwargs): |
|
516 | def __init__(self, **kwargs): | |
| 523 |
|
517 | |||
| 524 | Figure.__init__(self, **kwargs) |
|
518 | Figure.__init__(self, **kwargs) | |
| 525 | self.timerange = None |
|
519 | self.timerange = None | |
| 526 | self.isConfig = False |
|
520 | self.isConfig = False | |
| 527 | self.__nsubplots = 1 |
|
521 | self.__nsubplots = 1 | |
| 528 |
|
522 | |||
| 529 | self.WIDTH = 800 |
|
523 | self.WIDTH = 800 | |
| 530 | self.HEIGHT = 250 |
|
524 | self.HEIGHT = 250 | |
| 531 | self.WIDTHPROF = 120 |
|
525 | self.WIDTHPROF = 120 | |
| 532 | self.HEIGHTPROF = 0 |
|
526 | self.HEIGHTPROF = 0 | |
| 533 | self.counter_imagwr = 0 |
|
527 | self.counter_imagwr = 0 | |
| 534 |
|
528 | |||
| 535 | self.PLOT_CODE = RTI_CODE |
|
529 | self.PLOT_CODE = RTI_CODE | |
| 536 |
|
530 | |||
| 537 | self.FTP_WEI = None |
|
531 | self.FTP_WEI = None | |
| 538 | self.EXP_CODE = None |
|
532 | self.EXP_CODE = None | |
| 539 | self.SUB_EXP_CODE = None |
|
533 | self.SUB_EXP_CODE = None | |
| 540 | self.PLOT_POS = None |
|
534 | self.PLOT_POS = None | |
| 541 | self.tmin = None |
|
535 | self.tmin = None | |
| 542 | self.tmax = None |
|
536 | self.tmax = None | |
| 543 |
|
537 | |||
| 544 | self.xmin = None |
|
538 | self.xmin = None | |
| 545 | self.xmax = None |
|
539 | self.xmax = None | |
| 546 |
|
540 | |||
| 547 | self.figfile = None |
|
541 | self.figfile = None | |
| 548 |
|
542 | |||
| 549 | def getSubplots(self): |
|
543 | def getSubplots(self): | |
| 550 |
|
544 | |||
| 551 | ncol = 1 |
|
545 | ncol = 1 | |
| 552 | nrow = self.nplots |
|
546 | nrow = self.nplots | |
| 553 |
|
547 | |||
| 554 | return nrow, ncol |
|
548 | return nrow, ncol | |
| 555 |
|
549 | |||
| 556 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
550 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 557 |
|
551 | |||
| 558 | self.__showprofile = showprofile |
|
552 | self.__showprofile = showprofile | |
| 559 | self.nplots = nplots |
|
553 | self.nplots = nplots | |
| 560 |
|
554 | |||
| 561 | ncolspan = 1 |
|
555 | ncolspan = 1 | |
| 562 | colspan = 1 |
|
556 | colspan = 1 | |
| 563 | if showprofile: |
|
557 | if showprofile: | |
| 564 | ncolspan = 7 |
|
558 | ncolspan = 7 | |
| 565 | colspan = 6 |
|
559 | colspan = 6 | |
| 566 | self.__nsubplots = 2 |
|
560 | self.__nsubplots = 2 | |
| 567 |
|
561 | |||
| 568 | self.createFigure(id = id, |
|
562 | self.createFigure(id = id, | |
| 569 | wintitle = wintitle, |
|
563 | wintitle = wintitle, | |
| 570 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
564 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 571 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
565 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 572 | show=show) |
|
566 | show=show) | |
| 573 |
|
567 | |||
| 574 | nrow, ncol = self.getSubplots() |
|
568 | nrow, ncol = self.getSubplots() | |
| 575 |
|
569 | |||
| 576 | counter = 0 |
|
570 | counter = 0 | |
| 577 | for y in range(nrow): |
|
571 | for y in range(nrow): | |
| 578 | for x in range(ncol): |
|
572 | for x in range(ncol): | |
| 579 |
|
573 | |||
| 580 | if counter >= self.nplots: |
|
574 | if counter >= self.nplots: | |
| 581 | break |
|
575 | break | |
| 582 |
|
576 | |||
| 583 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
577 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 584 |
|
578 | |||
| 585 | if showprofile: |
|
579 | if showprofile: | |
| 586 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
580 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 587 |
|
581 | |||
| 588 | counter += 1 |
|
582 | counter += 1 | |
| 589 |
|
583 | |||
| 590 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
584 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', | |
| 591 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
585 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 592 | timerange=None, colormap='jet', |
|
586 | timerange=None, colormap='jet', | |
| 593 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
587 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, | |
| 594 | server=None, folder=None, username=None, password=None, |
|
588 | server=None, folder=None, username=None, password=None, | |
| 595 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, normFactor=None, HEIGHT=None): |
|
589 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, normFactor=None, HEIGHT=None): | |
| 596 |
|
590 | |||
| 597 | """ |
|
591 | """ | |
| 598 |
|
592 | |||
| 599 | Input: |
|
593 | Input: | |
| 600 | dataOut : |
|
594 | dataOut : | |
| 601 | id : |
|
595 | id : | |
| 602 | wintitle : |
|
596 | wintitle : | |
| 603 | channelList : |
|
597 | channelList : | |
| 604 | showProfile : |
|
598 | showProfile : | |
| 605 | xmin : None, |
|
599 | xmin : None, | |
| 606 | xmax : None, |
|
600 | xmax : None, | |
| 607 | ymin : None, |
|
601 | ymin : None, | |
| 608 | ymax : None, |
|
602 | ymax : None, | |
| 609 | zmin : None, |
|
603 | zmin : None, | |
| 610 | zmax : None |
|
604 | zmax : None | |
| 611 | """ |
|
605 | """ | |
| 612 |
|
606 | |||
| 613 | #colormap = kwargs.get('colormap', 'jet') |
|
607 | #colormap = kwargs.get('colormap', 'jet') | |
| 614 | if HEIGHT is not None: |
|
608 | if HEIGHT is not None: | |
| 615 | self.HEIGHT = HEIGHT |
|
609 | self.HEIGHT = HEIGHT | |
| 616 |
|
610 | |||
| 617 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
611 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
| 618 | return |
|
612 | return | |
| 619 |
|
613 | |||
| 620 | if channelList == None: |
|
614 | if channelList == None: | |
| 621 | channelIndexList = dataOut.channelIndexList |
|
615 | channelIndexList = dataOut.channelIndexList | |
| 622 | else: |
|
616 | else: | |
| 623 | channelIndexList = [] |
|
617 | channelIndexList = [] | |
| 624 | for channel in channelList: |
|
618 | for channel in channelList: | |
| 625 | if channel not in dataOut.channelList: |
|
619 | if channel not in dataOut.channelList: | |
| 626 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
620 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 627 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
621 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 628 |
|
622 | |||
| 629 | if normFactor is None: |
|
623 | if normFactor is None: | |
| 630 | factor = dataOut.normFactor |
|
624 | factor = dataOut.normFactor | |
| 631 | else: |
|
625 | else: | |
| 632 | factor = normFactor |
|
626 | factor = normFactor | |
| 633 |
|
627 | |||
| 634 | # factor = dataOut.normFactor |
|
628 | # factor = dataOut.normFactor | |
| 635 | x = dataOut.getTimeRange() |
|
629 | x = dataOut.getTimeRange() | |
| 636 | y = dataOut.getHeiRange() |
|
630 | y = dataOut.getHeiRange() | |
| 637 |
|
631 | |||
| 638 | z = dataOut.data_spc/factor |
|
632 | z = dataOut.data_spc/factor | |
| 639 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
633 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 640 | avg = numpy.average(z, axis=1) |
|
634 | avg = numpy.average(z, axis=1) | |
| 641 | avgdB = 10.*numpy.log10(avg) |
|
635 | avgdB = 10.*numpy.log10(avg) | |
| 642 | # avgdB = dataOut.getPower() |
|
636 | # avgdB = dataOut.getPower() | |
| 643 |
|
637 | |||
| 644 |
|
638 | |||
| 645 | thisDatetime = dataOut.datatime |
|
639 | thisDatetime = dataOut.datatime | |
| 646 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
640 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 647 | title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
641 | title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 648 | xlabel = "" |
|
642 | xlabel = "" | |
| 649 | ylabel = "Range (Km)" |
|
643 | ylabel = "Range (Km)" | |
| 650 |
|
644 | |||
| 651 | update_figfile = False |
|
645 | update_figfile = False | |
| 652 |
|
646 | |||
| 653 | if dataOut.ltctime >= self.xmax: |
|
647 | if dataOut.ltctime >= self.xmax: | |
| 654 | self.counter_imagwr = wr_period |
|
648 | self.counter_imagwr = wr_period | |
| 655 | self.isConfig = False |
|
649 | self.isConfig = False | |
| 656 | update_figfile = True |
|
650 | update_figfile = True | |
| 657 |
|
651 | |||
| 658 | if not self.isConfig: |
|
652 | if not self.isConfig: | |
| 659 |
|
653 | |||
| 660 | nplots = len(channelIndexList) |
|
654 | nplots = len(channelIndexList) | |
| 661 |
|
655 | |||
| 662 | self.setup(id=id, |
|
656 | self.setup(id=id, | |
| 663 | nplots=nplots, |
|
657 | nplots=nplots, | |
| 664 | wintitle=wintitle, |
|
658 | wintitle=wintitle, | |
| 665 | showprofile=showprofile, |
|
659 | showprofile=showprofile, | |
| 666 | show=show) |
|
660 | show=show) | |
| 667 |
|
661 | |||
| 668 | if timerange != None: |
|
662 | if timerange != None: | |
| 669 | self.timerange = timerange |
|
663 | self.timerange = timerange | |
| 670 |
|
664 | |||
| 671 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
665 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 672 |
|
666 | |||
| 673 | noise = dataOut.noise/factor |
|
667 | noise = dataOut.noise/factor | |
| 674 | noisedB = 10*numpy.log10(noise) |
|
668 | noisedB = 10*numpy.log10(noise) | |
| 675 |
|
669 | |||
| 676 | if ymin == None: ymin = numpy.nanmin(y) |
|
670 | if ymin == None: ymin = numpy.nanmin(y) | |
| 677 | if ymax == None: ymax = numpy.nanmax(y) |
|
671 | if ymax == None: ymax = numpy.nanmax(y) | |
| 678 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
672 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 | |
| 679 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
673 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 | |
| 680 |
|
674 | |||
| 681 | self.FTP_WEI = ftp_wei |
|
675 | self.FTP_WEI = ftp_wei | |
| 682 | self.EXP_CODE = exp_code |
|
676 | self.EXP_CODE = exp_code | |
| 683 | self.SUB_EXP_CODE = sub_exp_code |
|
677 | self.SUB_EXP_CODE = sub_exp_code | |
| 684 | self.PLOT_POS = plot_pos |
|
678 | self.PLOT_POS = plot_pos | |
| 685 |
|
679 | |||
| 686 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
680 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 687 | self.isConfig = True |
|
681 | self.isConfig = True | |
| 688 | self.figfile = figfile |
|
682 | self.figfile = figfile | |
| 689 | update_figfile = True |
|
683 | update_figfile = True | |
| 690 |
|
684 | |||
| 691 | self.setWinTitle(title) |
|
685 | self.setWinTitle(title) | |
| 692 |
|
686 | |||
| 693 | for i in range(self.nplots): |
|
687 | for i in range(self.nplots): | |
| 694 | index = channelIndexList[i] |
|
688 | index = channelIndexList[i] | |
| 695 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
689 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 696 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
690 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 697 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
691 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) | |
| 698 | axes = self.axesList[i*self.__nsubplots] |
|
692 | axes = self.axesList[i*self.__nsubplots] | |
| 699 | zdB = avgdB[index].reshape((1,-1)) |
|
693 | zdB = avgdB[index].reshape((1,-1)) | |
| 700 | axes.pcolorbuffer(x, y, zdB, |
|
694 | axes.pcolorbuffer(x, y, zdB, | |
| 701 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
695 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 702 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
696 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 703 | ticksize=9, cblabel='', cbsize="1%", colormap=colormap) |
|
697 | ticksize=9, cblabel='', cbsize="1%", colormap=colormap) | |
| 704 |
|
698 | |||
| 705 | if self.__showprofile: |
|
699 | if self.__showprofile: | |
| 706 | axes = self.axesList[i*self.__nsubplots +1] |
|
700 | axes = self.axesList[i*self.__nsubplots +1] | |
| 707 | axes.pline(avgdB[index], y, |
|
701 | axes.pline(avgdB[index], y, | |
| 708 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
702 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
| 709 | xlabel='dB', ylabel='', title='', |
|
703 | xlabel='dB', ylabel='', title='', | |
| 710 | ytick_visible=False, |
|
704 | ytick_visible=False, | |
| 711 | grid='x') |
|
705 | grid='x') | |
| 712 |
|
706 | |||
| 713 | self.draw() |
|
707 | self.draw() | |
| 714 |
|
708 | |||
| 715 | self.save(figpath=figpath, |
|
709 | self.save(figpath=figpath, | |
| 716 | figfile=figfile, |
|
710 | figfile=figfile, | |
| 717 | save=save, |
|
711 | save=save, | |
| 718 | ftp=ftp, |
|
712 | ftp=ftp, | |
| 719 | wr_period=wr_period, |
|
713 | wr_period=wr_period, | |
| 720 | thisDatetime=thisDatetime, |
|
714 | thisDatetime=thisDatetime, | |
| 721 | update_figfile=update_figfile) |
|
715 | update_figfile=update_figfile) | |
| 722 |
|
716 | |||
| 723 | class CoherenceMap(Figure): |
|
717 | class CoherenceMap(Figure): | |
| 724 | isConfig = None |
|
718 | isConfig = None | |
| 725 | __nsubplots = None |
|
719 | __nsubplots = None | |
| 726 |
|
720 | |||
| 727 | WIDTHPROF = None |
|
721 | WIDTHPROF = None | |
| 728 | HEIGHTPROF = None |
|
722 | HEIGHTPROF = None | |
| 729 | PREFIX = 'cmap' |
|
723 | PREFIX = 'cmap' | |
| 730 |
|
724 | |||
| 731 | def __init__(self, **kwargs): |
|
725 | def __init__(self, **kwargs): | |
| 732 | Figure.__init__(self, **kwargs) |
|
726 | Figure.__init__(self, **kwargs) | |
| 733 | self.timerange = 2*60*60 |
|
727 | self.timerange = 2*60*60 | |
| 734 | self.isConfig = False |
|
728 | self.isConfig = False | |
| 735 | self.__nsubplots = 1 |
|
729 | self.__nsubplots = 1 | |
| 736 |
|
730 | |||
| 737 | self.WIDTH = 800 |
|
731 | self.WIDTH = 800 | |
| 738 | self.HEIGHT = 180 |
|
732 | self.HEIGHT = 180 | |
| 739 | self.WIDTHPROF = 120 |
|
733 | self.WIDTHPROF = 120 | |
| 740 | self.HEIGHTPROF = 0 |
|
734 | self.HEIGHTPROF = 0 | |
| 741 | self.counter_imagwr = 0 |
|
735 | self.counter_imagwr = 0 | |
| 742 |
|
736 | |||
| 743 | self.PLOT_CODE = COH_CODE |
|
737 | self.PLOT_CODE = COH_CODE | |
| 744 |
|
738 | |||
| 745 | self.FTP_WEI = None |
|
739 | self.FTP_WEI = None | |
| 746 | self.EXP_CODE = None |
|
740 | self.EXP_CODE = None | |
| 747 | self.SUB_EXP_CODE = None |
|
741 | self.SUB_EXP_CODE = None | |
| 748 | self.PLOT_POS = None |
|
742 | self.PLOT_POS = None | |
| 749 | self.counter_imagwr = 0 |
|
743 | self.counter_imagwr = 0 | |
| 750 |
|
744 | |||
| 751 | self.xmin = None |
|
745 | self.xmin = None | |
| 752 | self.xmax = None |
|
746 | self.xmax = None | |
| 753 |
|
747 | |||
| 754 | def getSubplots(self): |
|
748 | def getSubplots(self): | |
| 755 | ncol = 1 |
|
749 | ncol = 1 | |
| 756 | nrow = self.nplots*2 |
|
750 | nrow = self.nplots*2 | |
| 757 |
|
751 | |||
| 758 | return nrow, ncol |
|
752 | return nrow, ncol | |
| 759 |
|
753 | |||
| 760 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
754 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 761 | self.__showprofile = showprofile |
|
755 | self.__showprofile = showprofile | |
| 762 | self.nplots = nplots |
|
756 | self.nplots = nplots | |
| 763 |
|
757 | |||
| 764 | ncolspan = 1 |
|
758 | ncolspan = 1 | |
| 765 | colspan = 1 |
|
759 | colspan = 1 | |
| 766 | if showprofile: |
|
760 | if showprofile: | |
| 767 | ncolspan = 7 |
|
761 | ncolspan = 7 | |
| 768 | colspan = 6 |
|
762 | colspan = 6 | |
| 769 | self.__nsubplots = 2 |
|
763 | self.__nsubplots = 2 | |
| 770 |
|
764 | |||
| 771 | self.createFigure(id = id, |
|
765 | self.createFigure(id = id, | |
| 772 | wintitle = wintitle, |
|
766 | wintitle = wintitle, | |
| 773 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
767 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 774 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
768 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 775 | show=True) |
|
769 | show=True) | |
| 776 |
|
770 | |||
| 777 | nrow, ncol = self.getSubplots() |
|
771 | nrow, ncol = self.getSubplots() | |
| 778 |
|
772 | |||
| 779 | for y in range(nrow): |
|
773 | for y in range(nrow): | |
| 780 | for x in range(ncol): |
|
774 | for x in range(ncol): | |
| 781 |
|
775 | |||
| 782 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
776 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 783 |
|
777 | |||
| 784 | if showprofile: |
|
778 | if showprofile: | |
| 785 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
779 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 786 |
|
780 | |||
| 787 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
781 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', | |
| 788 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
782 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 789 | timerange=None, phase_min=None, phase_max=None, |
|
783 | timerange=None, phase_min=None, phase_max=None, | |
| 790 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, |
|
784 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, | |
| 791 | coherence_cmap='jet', phase_cmap='RdBu_r', show=True, |
|
785 | coherence_cmap='jet', phase_cmap='RdBu_r', show=True, | |
| 792 | server=None, folder=None, username=None, password=None, |
|
786 | server=None, folder=None, username=None, password=None, | |
| 793 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
787 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 794 |
|
788 | |||
| 795 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
789 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
| 796 | return |
|
790 | return | |
| 797 |
|
791 | |||
| 798 | if pairsList == None: |
|
792 | if pairsList == None: | |
| 799 | pairsIndexList = dataOut.pairsIndexList |
|
793 | pairsIndexList = dataOut.pairsIndexList | |
| 800 | else: |
|
794 | else: | |
| 801 | pairsIndexList = [] |
|
795 | pairsIndexList = [] | |
| 802 | for pair in pairsList: |
|
796 | for pair in pairsList: | |
| 803 | if pair not in dataOut.pairsList: |
|
797 | if pair not in dataOut.pairsList: | |
| 804 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
798 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) | |
| 805 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
799 | pairsIndexList.append(dataOut.pairsList.index(pair)) | |
| 806 |
|
800 | |||
| 807 | if pairsIndexList == []: |
|
801 | if pairsIndexList == []: | |
| 808 | return |
|
802 | return | |
| 809 |
|
803 | |||
| 810 | if len(pairsIndexList) > 4: |
|
804 | if len(pairsIndexList) > 4: | |
| 811 | pairsIndexList = pairsIndexList[0:4] |
|
805 | pairsIndexList = pairsIndexList[0:4] | |
| 812 |
|
806 | |||
| 813 | if phase_min == None: |
|
807 | if phase_min == None: | |
| 814 | phase_min = -180 |
|
808 | phase_min = -180 | |
| 815 | if phase_max == None: |
|
809 | if phase_max == None: | |
| 816 | phase_max = 180 |
|
810 | phase_max = 180 | |
| 817 |
|
811 | |||
| 818 | x = dataOut.getTimeRange() |
|
812 | x = dataOut.getTimeRange() | |
| 819 | y = dataOut.getHeiRange() |
|
813 | y = dataOut.getHeiRange() | |
| 820 |
|
814 | |||
| 821 | thisDatetime = dataOut.datatime |
|
815 | thisDatetime = dataOut.datatime | |
| 822 |
|
816 | |||
| 823 | title = wintitle + " CoherenceMap" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
817 | title = wintitle + " CoherenceMap" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 824 | xlabel = "" |
|
818 | xlabel = "" | |
| 825 | ylabel = "Range (Km)" |
|
819 | ylabel = "Range (Km)" | |
| 826 | update_figfile = False |
|
820 | update_figfile = False | |
| 827 |
|
821 | |||
| 828 | if not self.isConfig: |
|
822 | if not self.isConfig: | |
| 829 | nplots = len(pairsIndexList) |
|
823 | nplots = len(pairsIndexList) | |
| 830 | self.setup(id=id, |
|
824 | self.setup(id=id, | |
| 831 | nplots=nplots, |
|
825 | nplots=nplots, | |
| 832 | wintitle=wintitle, |
|
826 | wintitle=wintitle, | |
| 833 | showprofile=showprofile, |
|
827 | showprofile=showprofile, | |
| 834 | show=show) |
|
828 | show=show) | |
| 835 |
|
829 | |||
| 836 | if timerange != None: |
|
830 | if timerange != None: | |
| 837 | self.timerange = timerange |
|
831 | self.timerange = timerange | |
| 838 |
|
832 | |||
| 839 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
833 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 840 |
|
834 | |||
| 841 | if ymin == None: ymin = numpy.nanmin(y) |
|
835 | if ymin == None: ymin = numpy.nanmin(y) | |
| 842 | if ymax == None: ymax = numpy.nanmax(y) |
|
836 | if ymax == None: ymax = numpy.nanmax(y) | |
| 843 | if zmin == None: zmin = 0. |
|
837 | if zmin == None: zmin = 0. | |
| 844 | if zmax == None: zmax = 1. |
|
838 | if zmax == None: zmax = 1. | |
| 845 |
|
839 | |||
| 846 | self.FTP_WEI = ftp_wei |
|
840 | self.FTP_WEI = ftp_wei | |
| 847 | self.EXP_CODE = exp_code |
|
841 | self.EXP_CODE = exp_code | |
| 848 | self.SUB_EXP_CODE = sub_exp_code |
|
842 | self.SUB_EXP_CODE = sub_exp_code | |
| 849 | self.PLOT_POS = plot_pos |
|
843 | self.PLOT_POS = plot_pos | |
| 850 |
|
844 | |||
| 851 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
845 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 852 |
|
846 | |||
| 853 | self.isConfig = True |
|
847 | self.isConfig = True | |
| 854 | update_figfile = True |
|
848 | update_figfile = True | |
| 855 |
|
849 | |||
| 856 | self.setWinTitle(title) |
|
850 | self.setWinTitle(title) | |
| 857 |
|
851 | |||
| 858 | for i in range(self.nplots): |
|
852 | for i in range(self.nplots): | |
| 859 |
|
853 | |||
| 860 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
854 | pair = dataOut.pairsList[pairsIndexList[i]] | |
| 861 |
|
855 | |||
| 862 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0) |
|
856 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0) | |
| 863 | powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0) |
|
857 | powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0) | |
| 864 | powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0) |
|
858 | powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0) | |
| 865 |
|
859 | |||
| 866 |
|
860 | |||
| 867 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
861 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) | |
| 868 | coherence = numpy.abs(avgcoherenceComplex) |
|
862 | coherence = numpy.abs(avgcoherenceComplex) | |
| 869 |
|
863 | |||
| 870 | z = coherence.reshape((1,-1)) |
|
864 | z = coherence.reshape((1,-1)) | |
| 871 |
|
865 | |||
| 872 | counter = 0 |
|
866 | counter = 0 | |
| 873 |
|
867 | |||
| 874 | title = "Coherence Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
868 | title = "Coherence Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 875 | axes = self.axesList[i*self.__nsubplots*2] |
|
869 | axes = self.axesList[i*self.__nsubplots*2] | |
| 876 | axes.pcolorbuffer(x, y, z, |
|
870 | axes.pcolorbuffer(x, y, z, | |
| 877 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
871 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 878 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
872 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 879 | ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%") |
|
873 | ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%") | |
| 880 |
|
874 | |||
| 881 | if self.__showprofile: |
|
875 | if self.__showprofile: | |
| 882 | counter += 1 |
|
876 | counter += 1 | |
| 883 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
877 | axes = self.axesList[i*self.__nsubplots*2 + counter] | |
| 884 | axes.pline(coherence, y, |
|
878 | axes.pline(coherence, y, | |
| 885 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
879 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
| 886 | xlabel='', ylabel='', title='', ticksize=7, |
|
880 | xlabel='', ylabel='', title='', ticksize=7, | |
| 887 | ytick_visible=False, nxticks=5, |
|
881 | ytick_visible=False, nxticks=5, | |
| 888 | grid='x') |
|
882 | grid='x') | |
| 889 |
|
883 | |||
| 890 | counter += 1 |
|
884 | counter += 1 | |
| 891 |
|
885 | |||
| 892 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
886 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi | |
| 893 |
|
887 | |||
| 894 | z = phase.reshape((1,-1)) |
|
888 | z = phase.reshape((1,-1)) | |
| 895 |
|
889 | |||
| 896 | title = "Phase Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
890 | title = "Phase Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 897 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
891 | axes = self.axesList[i*self.__nsubplots*2 + counter] | |
| 898 | axes.pcolorbuffer(x, y, z, |
|
892 | axes.pcolorbuffer(x, y, z, | |
| 899 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, |
|
893 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, | |
| 900 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
894 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 901 | ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%") |
|
895 | ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%") | |
| 902 |
|
896 | |||
| 903 | if self.__showprofile: |
|
897 | if self.__showprofile: | |
| 904 | counter += 1 |
|
898 | counter += 1 | |
| 905 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
899 | axes = self.axesList[i*self.__nsubplots*2 + counter] | |
| 906 | axes.pline(phase, y, |
|
900 | axes.pline(phase, y, | |
| 907 | xmin=phase_min, xmax=phase_max, ymin=ymin, ymax=ymax, |
|
901 | xmin=phase_min, xmax=phase_max, ymin=ymin, ymax=ymax, | |
| 908 | xlabel='', ylabel='', title='', ticksize=7, |
|
902 | xlabel='', ylabel='', title='', ticksize=7, | |
| 909 | ytick_visible=False, nxticks=4, |
|
903 | ytick_visible=False, nxticks=4, | |
| 910 | grid='x') |
|
904 | grid='x') | |
| 911 |
|
905 | |||
| 912 | self.draw() |
|
906 | self.draw() | |
| 913 |
|
907 | |||
| 914 | if dataOut.ltctime >= self.xmax: |
|
908 | if dataOut.ltctime >= self.xmax: | |
| 915 | self.counter_imagwr = wr_period |
|
909 | self.counter_imagwr = wr_period | |
| 916 | self.isConfig = False |
|
910 | self.isConfig = False | |
| 917 | update_figfile = True |
|
911 | update_figfile = True | |
| 918 |
|
912 | |||
| 919 | self.save(figpath=figpath, |
|
913 | self.save(figpath=figpath, | |
| 920 | figfile=figfile, |
|
914 | figfile=figfile, | |
| 921 | save=save, |
|
915 | save=save, | |
| 922 | ftp=ftp, |
|
916 | ftp=ftp, | |
| 923 | wr_period=wr_period, |
|
917 | wr_period=wr_period, | |
| 924 | thisDatetime=thisDatetime, |
|
918 | thisDatetime=thisDatetime, | |
| 925 | update_figfile=update_figfile) |
|
919 | update_figfile=update_figfile) | |
| 926 |
|
920 | |||
| 927 | class PowerProfilePlot(Figure): |
|
921 | class PowerProfilePlot(Figure): | |
| 928 |
|
922 | |||
| 929 | isConfig = None |
|
923 | isConfig = None | |
| 930 | __nsubplots = None |
|
924 | __nsubplots = None | |
| 931 |
|
925 | |||
| 932 | WIDTHPROF = None |
|
926 | WIDTHPROF = None | |
| 933 | HEIGHTPROF = None |
|
927 | HEIGHTPROF = None | |
| 934 | PREFIX = 'spcprofile' |
|
928 | PREFIX = 'spcprofile' | |
| 935 |
|
929 | |||
| 936 | def __init__(self, **kwargs): |
|
930 | def __init__(self, **kwargs): | |
| 937 | Figure.__init__(self, **kwargs) |
|
931 | Figure.__init__(self, **kwargs) | |
| 938 | self.isConfig = False |
|
932 | self.isConfig = False | |
| 939 | self.__nsubplots = 1 |
|
933 | self.__nsubplots = 1 | |
| 940 |
|
934 | |||
| 941 | self.PLOT_CODE = POWER_CODE |
|
935 | self.PLOT_CODE = POWER_CODE | |
| 942 |
|
936 | |||
| 943 | self.WIDTH = 300 |
|
937 | self.WIDTH = 300 | |
| 944 | self.HEIGHT = 500 |
|
938 | self.HEIGHT = 500 | |
| 945 | self.counter_imagwr = 0 |
|
939 | self.counter_imagwr = 0 | |
| 946 |
|
940 | |||
| 947 | def getSubplots(self): |
|
941 | def getSubplots(self): | |
| 948 | ncol = 1 |
|
942 | ncol = 1 | |
| 949 | nrow = 1 |
|
943 | nrow = 1 | |
| 950 |
|
944 | |||
| 951 | return nrow, ncol |
|
945 | return nrow, ncol | |
| 952 |
|
946 | |||
| 953 | def setup(self, id, nplots, wintitle, show): |
|
947 | def setup(self, id, nplots, wintitle, show): | |
| 954 |
|
948 | |||
| 955 | self.nplots = nplots |
|
949 | self.nplots = nplots | |
| 956 |
|
950 | |||
| 957 | ncolspan = 1 |
|
951 | ncolspan = 1 | |
| 958 | colspan = 1 |
|
952 | colspan = 1 | |
| 959 |
|
953 | |||
| 960 | self.createFigure(id = id, |
|
954 | self.createFigure(id = id, | |
| 961 | wintitle = wintitle, |
|
955 | wintitle = wintitle, | |
| 962 | widthplot = self.WIDTH, |
|
956 | widthplot = self.WIDTH, | |
| 963 | heightplot = self.HEIGHT, |
|
957 | heightplot = self.HEIGHT, | |
| 964 | show=show) |
|
958 | show=show) | |
| 965 |
|
959 | |||
| 966 | nrow, ncol = self.getSubplots() |
|
960 | nrow, ncol = self.getSubplots() | |
| 967 |
|
961 | |||
| 968 | counter = 0 |
|
962 | counter = 0 | |
| 969 | for y in range(nrow): |
|
963 | for y in range(nrow): | |
| 970 | for x in range(ncol): |
|
964 | for x in range(ncol): | |
| 971 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
965 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 972 |
|
966 | |||
| 973 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
967 | def run(self, dataOut, id, wintitle="", channelList=None, | |
| 974 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
968 | xmin=None, xmax=None, ymin=None, ymax=None, | |
| 975 | save=False, figpath='./', figfile=None, show=True, |
|
969 | save=False, figpath='./', figfile=None, show=True, | |
| 976 | ftp=False, wr_period=1, server=None, |
|
970 | ftp=False, wr_period=1, server=None, | |
| 977 | folder=None, username=None, password=None): |
|
971 | folder=None, username=None, password=None): | |
| 978 |
|
972 | |||
| 979 |
|
973 | |||
| 980 | if channelList == None: |
|
974 | if channelList == None: | |
| 981 | channelIndexList = dataOut.channelIndexList |
|
975 | channelIndexList = dataOut.channelIndexList | |
| 982 | channelList = dataOut.channelList |
|
976 | channelList = dataOut.channelList | |
| 983 | else: |
|
977 | else: | |
| 984 | channelIndexList = [] |
|
978 | channelIndexList = [] | |
| 985 | for channel in channelList: |
|
979 | for channel in channelList: | |
| 986 | if channel not in dataOut.channelList: |
|
980 | if channel not in dataOut.channelList: | |
| 987 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
981 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 988 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
982 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 989 |
|
983 | |||
| 990 | factor = dataOut.normFactor |
|
984 | factor = dataOut.normFactor | |
| 991 |
|
985 | |||
| 992 | y = dataOut.getHeiRange() |
|
986 | y = dataOut.getHeiRange() | |
| 993 |
|
987 | |||
| 994 | #for voltage |
|
988 | #for voltage | |
| 995 | if dataOut.type == 'Voltage': |
|
989 | if dataOut.type == 'Voltage': | |
| 996 | x = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) |
|
990 | x = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) | |
| 997 | x = x.real |
|
991 | x = x.real | |
| 998 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
992 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) | |
| 999 |
|
993 | |||
| 1000 | #for spectra |
|
994 | #for spectra | |
| 1001 | if dataOut.type == 'Spectra': |
|
995 | if dataOut.type == 'Spectra': | |
| 1002 | x = dataOut.data_spc[channelIndexList,:,:]/factor |
|
996 | x = dataOut.data_spc[channelIndexList,:,:]/factor | |
| 1003 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
997 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) | |
| 1004 | x = numpy.average(x, axis=1) |
|
998 | x = numpy.average(x, axis=1) | |
| 1005 |
|
999 | |||
| 1006 |
|
1000 | |||
| 1007 | xdB = 10*numpy.log10(x) |
|
1001 | xdB = 10*numpy.log10(x) | |
| 1008 |
|
1002 | |||
| 1009 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
1003 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 1010 | title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1004 | title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 1011 | xlabel = "dB" |
|
1005 | xlabel = "dB" | |
| 1012 | ylabel = "Range (Km)" |
|
1006 | ylabel = "Range (Km)" | |
| 1013 |
|
1007 | |||
| 1014 | if not self.isConfig: |
|
1008 | if not self.isConfig: | |
| 1015 |
|
1009 | |||
| 1016 | nplots = 1 |
|
1010 | nplots = 1 | |
| 1017 |
|
1011 | |||
| 1018 | self.setup(id=id, |
|
1012 | self.setup(id=id, | |
| 1019 | nplots=nplots, |
|
1013 | nplots=nplots, | |
| 1020 | wintitle=wintitle, |
|
1014 | wintitle=wintitle, | |
| 1021 | show=show) |
|
1015 | show=show) | |
| 1022 |
|
1016 | |||
| 1023 | if ymin == None: ymin = numpy.nanmin(y) |
|
1017 | if ymin == None: ymin = numpy.nanmin(y) | |
| 1024 | if ymax == None: ymax = numpy.nanmax(y) |
|
1018 | if ymax == None: ymax = numpy.nanmax(y) | |
| 1025 | if xmin == None: xmin = numpy.nanmin(xdB)*0.9 |
|
1019 | if xmin == None: xmin = numpy.nanmin(xdB)*0.9 | |
| 1026 | if xmax == None: xmax = numpy.nanmax(xdB)*1.1 |
|
1020 | if xmax == None: xmax = numpy.nanmax(xdB)*1.1 | |
| 1027 |
|
1021 | |||
| 1028 | self.isConfig = True |
|
1022 | self.isConfig = True | |
| 1029 |
|
1023 | |||
| 1030 | self.setWinTitle(title) |
|
1024 | self.setWinTitle(title) | |
| 1031 |
|
1025 | |||
| 1032 | title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
1026 | title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 1033 | axes = self.axesList[0] |
|
1027 | axes = self.axesList[0] | |
| 1034 |
|
1028 | |||
| 1035 | legendlabels = ["channel %d"%x for x in channelList] |
|
1029 | legendlabels = ["channel %d"%x for x in channelList] | |
| 1036 | axes.pmultiline(xdB, y, |
|
1030 | axes.pmultiline(xdB, y, | |
| 1037 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
1031 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, | |
| 1038 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
1032 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, | |
| 1039 | ytick_visible=True, nxticks=5, |
|
1033 | ytick_visible=True, nxticks=5, | |
| 1040 | grid='x') |
|
1034 | grid='x') | |
| 1041 |
|
1035 | |||
| 1042 | self.draw() |
|
1036 | self.draw() | |
| 1043 |
|
1037 | |||
| 1044 | self.save(figpath=figpath, |
|
1038 | self.save(figpath=figpath, | |
| 1045 | figfile=figfile, |
|
1039 | figfile=figfile, | |
| 1046 | save=save, |
|
1040 | save=save, | |
| 1047 | ftp=ftp, |
|
1041 | ftp=ftp, | |
| 1048 | wr_period=wr_period, |
|
1042 | wr_period=wr_period, | |
| 1049 | thisDatetime=thisDatetime) |
|
1043 | thisDatetime=thisDatetime) | |
| 1050 |
|
1044 | |||
| 1051 | class SpectraCutPlot(Figure): |
|
1045 | class SpectraCutPlot(Figure): | |
| 1052 |
|
1046 | |||
| 1053 | isConfig = None |
|
1047 | isConfig = None | |
| 1054 | __nsubplots = None |
|
1048 | __nsubplots = None | |
| 1055 |
|
1049 | |||
| 1056 | WIDTHPROF = None |
|
1050 | WIDTHPROF = None | |
| 1057 | HEIGHTPROF = None |
|
1051 | HEIGHTPROF = None | |
| 1058 | PREFIX = 'spc_cut' |
|
1052 | PREFIX = 'spc_cut' | |
| 1059 |
|
1053 | |||
| 1060 | def __init__(self, **kwargs): |
|
1054 | def __init__(self, **kwargs): | |
| 1061 | Figure.__init__(self, **kwargs) |
|
1055 | Figure.__init__(self, **kwargs) | |
| 1062 | self.isConfig = False |
|
1056 | self.isConfig = False | |
| 1063 | self.__nsubplots = 1 |
|
1057 | self.__nsubplots = 1 | |
| 1064 |
|
1058 | |||
| 1065 | self.PLOT_CODE = POWER_CODE |
|
1059 | self.PLOT_CODE = POWER_CODE | |
| 1066 |
|
1060 | |||
| 1067 | self.WIDTH = 700 |
|
1061 | self.WIDTH = 700 | |
| 1068 | self.HEIGHT = 500 |
|
1062 | self.HEIGHT = 500 | |
| 1069 | self.counter_imagwr = 0 |
|
1063 | self.counter_imagwr = 0 | |
| 1070 |
|
1064 | |||
| 1071 | def getSubplots(self): |
|
1065 | def getSubplots(self): | |
| 1072 | ncol = 1 |
|
1066 | ncol = 1 | |
| 1073 | nrow = 1 |
|
1067 | nrow = 1 | |
| 1074 |
|
1068 | |||
| 1075 | return nrow, ncol |
|
1069 | return nrow, ncol | |
| 1076 |
|
1070 | |||
| 1077 | def setup(self, id, nplots, wintitle, show): |
|
1071 | def setup(self, id, nplots, wintitle, show): | |
| 1078 |
|
1072 | |||
| 1079 | self.nplots = nplots |
|
1073 | self.nplots = nplots | |
| 1080 |
|
1074 | |||
| 1081 | ncolspan = 1 |
|
1075 | ncolspan = 1 | |
| 1082 | colspan = 1 |
|
1076 | colspan = 1 | |
| 1083 |
|
1077 | |||
| 1084 | self.createFigure(id = id, |
|
1078 | self.createFigure(id = id, | |
| 1085 | wintitle = wintitle, |
|
1079 | wintitle = wintitle, | |
| 1086 | widthplot = self.WIDTH, |
|
1080 | widthplot = self.WIDTH, | |
| 1087 | heightplot = self.HEIGHT, |
|
1081 | heightplot = self.HEIGHT, | |
| 1088 | show=show) |
|
1082 | show=show) | |
| 1089 |
|
1083 | |||
| 1090 | nrow, ncol = self.getSubplots() |
|
1084 | nrow, ncol = self.getSubplots() | |
| 1091 |
|
1085 | |||
| 1092 | counter = 0 |
|
1086 | counter = 0 | |
| 1093 | for y in range(nrow): |
|
1087 | for y in range(nrow): | |
| 1094 | for x in range(ncol): |
|
1088 | for x in range(ncol): | |
| 1095 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
1089 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 1096 |
|
1090 | |||
| 1097 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
1091 | def run(self, dataOut, id, wintitle="", channelList=None, | |
| 1098 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
1092 | xmin=None, xmax=None, ymin=None, ymax=None, | |
| 1099 | save=False, figpath='./', figfile=None, show=True, |
|
1093 | save=False, figpath='./', figfile=None, show=True, | |
| 1100 | ftp=False, wr_period=1, server=None, |
|
1094 | ftp=False, wr_period=1, server=None, | |
| 1101 | folder=None, username=None, password=None, |
|
1095 | folder=None, username=None, password=None, | |
| 1102 | xaxis="frequency"): |
|
1096 | xaxis="frequency"): | |
| 1103 |
|
1097 | |||
| 1104 |
|
1098 | |||
| 1105 | if channelList == None: |
|
1099 | if channelList == None: | |
| 1106 | channelIndexList = dataOut.channelIndexList |
|
1100 | channelIndexList = dataOut.channelIndexList | |
| 1107 | channelList = dataOut.channelList |
|
1101 | channelList = dataOut.channelList | |
| 1108 | else: |
|
1102 | else: | |
| 1109 | channelIndexList = [] |
|
1103 | channelIndexList = [] | |
| 1110 | for channel in channelList: |
|
1104 | for channel in channelList: | |
| 1111 | if channel not in dataOut.channelList: |
|
1105 | if channel not in dataOut.channelList: | |
| 1112 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
1106 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 1113 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
1107 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 1114 |
|
1108 | |||
| 1115 | factor = dataOut.normFactor |
|
1109 | factor = dataOut.normFactor | |
| 1116 |
|
1110 | |||
| 1117 | y = dataOut.getHeiRange() |
|
1111 | y = dataOut.getHeiRange() | |
| 1118 |
|
1112 | |||
| 1119 | z = dataOut.data_spc/factor |
|
1113 | z = dataOut.data_spc/factor | |
| 1120 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
1114 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 1121 |
|
1115 | |||
| 1122 | hei_index = numpy.arange(25)*3 + 20 |
|
1116 | hei_index = numpy.arange(25)*3 + 20 | |
| 1123 |
|
1117 | |||
| 1124 | if xaxis == "frequency": |
|
1118 | if xaxis == "frequency": | |
| 1125 | x = dataOut.getFreqRange()/1000. |
|
1119 | x = dataOut.getFreqRange()/1000. | |
| 1126 | zdB = 10*numpy.log10(z[0,:,hei_index]) |
|
1120 | zdB = 10*numpy.log10(z[0,:,hei_index]) | |
| 1127 | xlabel = "Frequency (kHz)" |
|
1121 | xlabel = "Frequency (kHz)" | |
| 1128 | ylabel = "Power (dB)" |
|
1122 | ylabel = "Power (dB)" | |
| 1129 |
|
1123 | |||
| 1130 | elif xaxis == "time": |
|
1124 | elif xaxis == "time": | |
| 1131 | x = dataOut.getAcfRange() |
|
1125 | x = dataOut.getAcfRange() | |
| 1132 | zdB = z[0,:,hei_index] |
|
1126 | zdB = z[0,:,hei_index] | |
| 1133 | xlabel = "Time (ms)" |
|
1127 | xlabel = "Time (ms)" | |
| 1134 | ylabel = "ACF" |
|
1128 | ylabel = "ACF" | |
| 1135 |
|
1129 | |||
| 1136 | else: |
|
1130 | else: | |
| 1137 | x = dataOut.getVelRange() |
|
1131 | x = dataOut.getVelRange() | |
| 1138 | zdB = 10*numpy.log10(z[0,:,hei_index]) |
|
1132 | zdB = 10*numpy.log10(z[0,:,hei_index]) | |
| 1139 | xlabel = "Velocity (m/s)" |
|
1133 | xlabel = "Velocity (m/s)" | |
| 1140 | ylabel = "Power (dB)" |
|
1134 | ylabel = "Power (dB)" | |
| 1141 |
|
1135 | |||
| 1142 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
1136 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 1143 | title = wintitle + " Range Cuts %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1137 | title = wintitle + " Range Cuts %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 1144 |
|
1138 | |||
| 1145 | if not self.isConfig: |
|
1139 | if not self.isConfig: | |
| 1146 |
|
1140 | |||
| 1147 | nplots = 1 |
|
1141 | nplots = 1 | |
| 1148 |
|
1142 | |||
| 1149 | self.setup(id=id, |
|
1143 | self.setup(id=id, | |
| 1150 | nplots=nplots, |
|
1144 | nplots=nplots, | |
| 1151 | wintitle=wintitle, |
|
1145 | wintitle=wintitle, | |
| 1152 | show=show) |
|
1146 | show=show) | |
| 1153 |
|
1147 | |||
| 1154 | if xmin == None: xmin = numpy.nanmin(x)*0.9 |
|
1148 | if xmin == None: xmin = numpy.nanmin(x)*0.9 | |
| 1155 | if xmax == None: xmax = numpy.nanmax(x)*1.1 |
|
1149 | if xmax == None: xmax = numpy.nanmax(x)*1.1 | |
| 1156 | if ymin == None: ymin = numpy.nanmin(zdB) |
|
1150 | if ymin == None: ymin = numpy.nanmin(zdB) | |
| 1157 | if ymax == None: ymax = numpy.nanmax(zdB) |
|
1151 | if ymax == None: ymax = numpy.nanmax(zdB) | |
| 1158 |
|
1152 | |||
| 1159 | self.isConfig = True |
|
1153 | self.isConfig = True | |
| 1160 |
|
1154 | |||
| 1161 | self.setWinTitle(title) |
|
1155 | self.setWinTitle(title) | |
| 1162 |
|
1156 | |||
| 1163 | title = "Spectra Cuts: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
1157 | title = "Spectra Cuts: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 1164 | axes = self.axesList[0] |
|
1158 | axes = self.axesList[0] | |
| 1165 |
|
1159 | |||
| 1166 | legendlabels = ["Range = %dKm" %y[i] for i in hei_index] |
|
1160 | legendlabels = ["Range = %dKm" %y[i] for i in hei_index] | |
| 1167 |
|
1161 | |||
| 1168 | axes.pmultilineyaxis( x, zdB, |
|
1162 | axes.pmultilineyaxis( x, zdB, | |
| 1169 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
1163 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, | |
| 1170 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
1164 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, | |
| 1171 | ytick_visible=True, nxticks=5, |
|
1165 | ytick_visible=True, nxticks=5, | |
| 1172 | grid='x') |
|
1166 | grid='x') | |
| 1173 |
|
1167 | |||
| 1174 | self.draw() |
|
1168 | self.draw() | |
| 1175 |
|
1169 | |||
| 1176 | self.save(figpath=figpath, |
|
1170 | self.save(figpath=figpath, | |
| 1177 | figfile=figfile, |
|
1171 | figfile=figfile, | |
| 1178 | save=save, |
|
1172 | save=save, | |
| 1179 | ftp=ftp, |
|
1173 | ftp=ftp, | |
| 1180 | wr_period=wr_period, |
|
1174 | wr_period=wr_period, | |
| 1181 | thisDatetime=thisDatetime) |
|
1175 | thisDatetime=thisDatetime) | |
| 1182 |
|
1176 | |||
| 1183 | class Noise(Figure): |
|
1177 | class Noise(Figure): | |
| 1184 |
|
1178 | |||
| 1185 | isConfig = None |
|
1179 | isConfig = None | |
| 1186 | __nsubplots = None |
|
1180 | __nsubplots = None | |
| 1187 |
|
1181 | |||
| 1188 | PREFIX = 'noise' |
|
1182 | PREFIX = 'noise' | |
| 1189 |
|
1183 | |||
| 1190 |
|
1184 | |||
| 1191 | def __init__(self, **kwargs): |
|
1185 | def __init__(self, **kwargs): | |
| 1192 | Figure.__init__(self, **kwargs) |
|
1186 | Figure.__init__(self, **kwargs) | |
| 1193 | self.timerange = 24*60*60 |
|
1187 | self.timerange = 24*60*60 | |
| 1194 | self.isConfig = False |
|
1188 | self.isConfig = False | |
| 1195 | self.__nsubplots = 1 |
|
1189 | self.__nsubplots = 1 | |
| 1196 | self.counter_imagwr = 0 |
|
1190 | self.counter_imagwr = 0 | |
| 1197 | self.WIDTH = 800 |
|
1191 | self.WIDTH = 800 | |
| 1198 | self.HEIGHT = 400 |
|
1192 | self.HEIGHT = 400 | |
| 1199 | self.WIDTHPROF = 120 |
|
1193 | self.WIDTHPROF = 120 | |
| 1200 | self.HEIGHTPROF = 0 |
|
1194 | self.HEIGHTPROF = 0 | |
| 1201 | self.xdata = None |
|
1195 | self.xdata = None | |
| 1202 | self.ydata = None |
|
1196 | self.ydata = None | |
| 1203 |
|
1197 | |||
| 1204 | self.PLOT_CODE = NOISE_CODE |
|
1198 | self.PLOT_CODE = NOISE_CODE | |
| 1205 |
|
1199 | |||
| 1206 | self.FTP_WEI = None |
|
1200 | self.FTP_WEI = None | |
| 1207 | self.EXP_CODE = None |
|
1201 | self.EXP_CODE = None | |
| 1208 | self.SUB_EXP_CODE = None |
|
1202 | self.SUB_EXP_CODE = None | |
| 1209 | self.PLOT_POS = None |
|
1203 | self.PLOT_POS = None | |
| 1210 | self.figfile = None |
|
1204 | self.figfile = None | |
| 1211 |
|
1205 | |||
| 1212 | self.xmin = None |
|
1206 | self.xmin = None | |
| 1213 | self.xmax = None |
|
1207 | self.xmax = None | |
| 1214 |
|
1208 | |||
| 1215 | def getSubplots(self): |
|
1209 | def getSubplots(self): | |
| 1216 |
|
1210 | |||
| 1217 | ncol = 1 |
|
1211 | ncol = 1 | |
| 1218 | nrow = 1 |
|
1212 | nrow = 1 | |
| 1219 |
|
1213 | |||
| 1220 | return nrow, ncol |
|
1214 | return nrow, ncol | |
| 1221 |
|
1215 | |||
| 1222 | def openfile(self, filename): |
|
1216 | def openfile(self, filename): | |
| 1223 | dirname = os.path.dirname(filename) |
|
1217 | dirname = os.path.dirname(filename) | |
| 1224 |
|
1218 | |||
| 1225 | if not os.path.exists(dirname): |
|
1219 | if not os.path.exists(dirname): | |
| 1226 | os.mkdir(dirname) |
|
1220 | os.mkdir(dirname) | |
| 1227 |
|
1221 | |||
| 1228 | f = open(filename,'w+') |
|
1222 | f = open(filename,'w+') | |
| 1229 | f.write('\n\n') |
|
1223 | f.write('\n\n') | |
| 1230 | f.write('JICAMARCA RADIO OBSERVATORY - Noise \n') |
|
1224 | f.write('JICAMARCA RADIO OBSERVATORY - Noise \n') | |
| 1231 | f.write('DD MM YYYY HH MM SS Channel0 Channel1 Channel2 Channel3\n\n' ) |
|
1225 | f.write('DD MM YYYY HH MM SS Channel0 Channel1 Channel2 Channel3\n\n' ) | |
| 1232 | f.close() |
|
1226 | f.close() | |
| 1233 |
|
1227 | |||
| 1234 | def save_data(self, filename_phase, data, data_datetime): |
|
1228 | def save_data(self, filename_phase, data, data_datetime): | |
| 1235 |
|
1229 | |||
| 1236 | f=open(filename_phase,'a') |
|
1230 | f=open(filename_phase,'a') | |
| 1237 |
|
1231 | |||
| 1238 | timetuple_data = data_datetime.timetuple() |
|
1232 | timetuple_data = data_datetime.timetuple() | |
| 1239 | day = str(timetuple_data.tm_mday) |
|
1233 | day = str(timetuple_data.tm_mday) | |
| 1240 | month = str(timetuple_data.tm_mon) |
|
1234 | month = str(timetuple_data.tm_mon) | |
| 1241 | year = str(timetuple_data.tm_year) |
|
1235 | year = str(timetuple_data.tm_year) | |
| 1242 | hour = str(timetuple_data.tm_hour) |
|
1236 | hour = str(timetuple_data.tm_hour) | |
| 1243 | minute = str(timetuple_data.tm_min) |
|
1237 | minute = str(timetuple_data.tm_min) | |
| 1244 | second = str(timetuple_data.tm_sec) |
|
1238 | second = str(timetuple_data.tm_sec) | |
| 1245 |
|
1239 | |||
| 1246 | data_msg = '' |
|
1240 | data_msg = '' | |
| 1247 | for i in range(len(data)): |
|
1241 | for i in range(len(data)): | |
| 1248 | data_msg += str(data[i]) + ' ' |
|
1242 | data_msg += str(data[i]) + ' ' | |
| 1249 |
|
1243 | |||
| 1250 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' ' + data_msg + '\n') |
|
1244 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' ' + data_msg + '\n') | |
| 1251 | f.close() |
|
1245 | f.close() | |
| 1252 |
|
1246 | |||
| 1253 |
|
1247 | |||
| 1254 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
1248 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 1255 |
|
1249 | |||
| 1256 | self.__showprofile = showprofile |
|
1250 | self.__showprofile = showprofile | |
| 1257 | self.nplots = nplots |
|
1251 | self.nplots = nplots | |
| 1258 |
|
1252 | |||
| 1259 | ncolspan = 7 |
|
1253 | ncolspan = 7 | |
| 1260 | colspan = 6 |
|
1254 | colspan = 6 | |
| 1261 | self.__nsubplots = 2 |
|
1255 | self.__nsubplots = 2 | |
| 1262 |
|
1256 | |||
| 1263 | self.createFigure(id = id, |
|
1257 | self.createFigure(id = id, | |
| 1264 | wintitle = wintitle, |
|
1258 | wintitle = wintitle, | |
| 1265 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
1259 | widthplot = self.WIDTH+self.WIDTHPROF, | |
| 1266 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
1260 | heightplot = self.HEIGHT+self.HEIGHTPROF, | |
| 1267 | show=show) |
|
1261 | show=show) | |
| 1268 |
|
1262 | |||
| 1269 | nrow, ncol = self.getSubplots() |
|
1263 | nrow, ncol = self.getSubplots() | |
| 1270 |
|
1264 | |||
| 1271 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
1265 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) | |
| 1272 |
|
1266 | |||
| 1273 |
|
1267 | |||
| 1274 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
1268 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', | |
| 1275 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
1269 | xmin=None, xmax=None, ymin=None, ymax=None, | |
| 1276 | timerange=None, |
|
1270 | timerange=None, | |
| 1277 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
1271 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 1278 | server=None, folder=None, username=None, password=None, |
|
1272 | server=None, folder=None, username=None, password=None, | |
| 1279 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
1273 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 1280 |
|
1274 | |||
| 1281 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
1275 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
| 1282 | return |
|
1276 | return | |
| 1283 |
|
1277 | |||
| 1284 | if channelList == None: |
|
1278 | if channelList == None: | |
| 1285 | channelIndexList = dataOut.channelIndexList |
|
1279 | channelIndexList = dataOut.channelIndexList | |
| 1286 | channelList = dataOut.channelList |
|
1280 | channelList = dataOut.channelList | |
| 1287 | else: |
|
1281 | else: | |
| 1288 | channelIndexList = [] |
|
1282 | channelIndexList = [] | |
| 1289 | for channel in channelList: |
|
1283 | for channel in channelList: | |
| 1290 | if channel not in dataOut.channelList: |
|
1284 | if channel not in dataOut.channelList: | |
| 1291 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
1285 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 1292 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
1286 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 1293 |
|
1287 | |||
| 1294 | x = dataOut.getTimeRange() |
|
1288 | x = dataOut.getTimeRange() | |
| 1295 | #y = dataOut.getHeiRange() |
|
1289 | #y = dataOut.getHeiRange() | |
| 1296 | factor = dataOut.normFactor |
|
1290 | factor = dataOut.normFactor | |
| 1297 | noise = dataOut.noise[channelIndexList]/factor |
|
1291 | noise = dataOut.noise[channelIndexList]/factor | |
| 1298 | noisedB = 10*numpy.log10(noise) |
|
1292 | noisedB = 10*numpy.log10(noise) | |
| 1299 |
|
1293 | |||
| 1300 | thisDatetime = dataOut.datatime |
|
1294 | thisDatetime = dataOut.datatime | |
| 1301 |
|
1295 | |||
| 1302 | title = wintitle + " Noise" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1296 | title = wintitle + " Noise" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 1303 | xlabel = "" |
|
1297 | xlabel = "" | |
| 1304 | ylabel = "Intensity (dB)" |
|
1298 | ylabel = "Intensity (dB)" | |
| 1305 | update_figfile = False |
|
1299 | update_figfile = False | |
| 1306 |
|
1300 | |||
| 1307 | if not self.isConfig: |
|
1301 | if not self.isConfig: | |
| 1308 |
|
1302 | |||
| 1309 | nplots = 1 |
|
1303 | nplots = 1 | |
| 1310 |
|
1304 | |||
| 1311 | self.setup(id=id, |
|
1305 | self.setup(id=id, | |
| 1312 | nplots=nplots, |
|
1306 | nplots=nplots, | |
| 1313 | wintitle=wintitle, |
|
1307 | wintitle=wintitle, | |
| 1314 | showprofile=showprofile, |
|
1308 | showprofile=showprofile, | |
| 1315 | show=show) |
|
1309 | show=show) | |
| 1316 |
|
1310 | |||
| 1317 | if timerange != None: |
|
1311 | if timerange != None: | |
| 1318 | self.timerange = timerange |
|
1312 | self.timerange = timerange | |
| 1319 |
|
1313 | |||
| 1320 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
1314 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 1321 |
|
1315 | |||
| 1322 | if ymin == None: ymin = numpy.floor(numpy.nanmin(noisedB)) - 10.0 |
|
1316 | if ymin == None: ymin = numpy.floor(numpy.nanmin(noisedB)) - 10.0 | |
| 1323 | if ymax == None: ymax = numpy.nanmax(noisedB) + 10.0 |
|
1317 | if ymax == None: ymax = numpy.nanmax(noisedB) + 10.0 | |
| 1324 |
|
1318 | |||
| 1325 | self.FTP_WEI = ftp_wei |
|
1319 | self.FTP_WEI = ftp_wei | |
| 1326 | self.EXP_CODE = exp_code |
|
1320 | self.EXP_CODE = exp_code | |
| 1327 | self.SUB_EXP_CODE = sub_exp_code |
|
1321 | self.SUB_EXP_CODE = sub_exp_code | |
| 1328 | self.PLOT_POS = plot_pos |
|
1322 | self.PLOT_POS = plot_pos | |
| 1329 |
|
1323 | |||
| 1330 |
|
1324 | |||
| 1331 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
1325 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 1332 | self.isConfig = True |
|
1326 | self.isConfig = True | |
| 1333 | self.figfile = figfile |
|
1327 | self.figfile = figfile | |
| 1334 | self.xdata = numpy.array([]) |
|
1328 | self.xdata = numpy.array([]) | |
| 1335 | self.ydata = numpy.array([]) |
|
1329 | self.ydata = numpy.array([]) | |
| 1336 |
|
1330 | |||
| 1337 | update_figfile = True |
|
1331 | update_figfile = True | |
| 1338 |
|
1332 | |||
| 1339 | #open file beacon phase |
|
1333 | #open file beacon phase | |
| 1340 | path = '%s%03d' %(self.PREFIX, self.id) |
|
1334 | path = '%s%03d' %(self.PREFIX, self.id) | |
| 1341 | noise_file = os.path.join(path,'%s.txt'%self.name) |
|
1335 | noise_file = os.path.join(path,'%s.txt'%self.name) | |
| 1342 | self.filename_noise = os.path.join(figpath,noise_file) |
|
1336 | self.filename_noise = os.path.join(figpath,noise_file) | |
| 1343 |
|
1337 | |||
| 1344 | self.setWinTitle(title) |
|
1338 | self.setWinTitle(title) | |
| 1345 |
|
1339 | |||
| 1346 | title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1340 | title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1347 |
|
1341 | |||
| 1348 | legendlabels = ["channel %d"%(idchannel) for idchannel in channelList] |
|
1342 | legendlabels = ["channel %d"%(idchannel) for idchannel in channelList] | |
| 1349 | axes = self.axesList[0] |
|
1343 | axes = self.axesList[0] | |
| 1350 |
|
1344 | |||
| 1351 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
1345 | self.xdata = numpy.hstack((self.xdata, x[0:1])) | |
| 1352 |
|
1346 | |||
| 1353 | if len(self.ydata)==0: |
|
1347 | if len(self.ydata)==0: | |
| 1354 | self.ydata = noisedB.reshape(-1,1) |
|
1348 | self.ydata = noisedB.reshape(-1,1) | |
| 1355 | else: |
|
1349 | else: | |
| 1356 | self.ydata = numpy.hstack((self.ydata, noisedB.reshape(-1,1))) |
|
1350 | self.ydata = numpy.hstack((self.ydata, noisedB.reshape(-1,1))) | |
| 1357 |
|
1351 | |||
| 1358 |
|
1352 | |||
| 1359 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
1353 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, | |
| 1360 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
1354 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, | |
| 1361 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
1355 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", | |
| 1362 | XAxisAsTime=True, grid='both' |
|
1356 | XAxisAsTime=True, grid='both' | |
| 1363 | ) |
|
1357 | ) | |
| 1364 |
|
1358 | |||
| 1365 | self.draw() |
|
1359 | self.draw() | |
| 1366 |
|
1360 | |||
| 1367 | if dataOut.ltctime >= self.xmax: |
|
1361 | if dataOut.ltctime >= self.xmax: | |
| 1368 | self.counter_imagwr = wr_period |
|
1362 | self.counter_imagwr = wr_period | |
| 1369 | self.isConfig = False |
|
1363 | self.isConfig = False | |
| 1370 | update_figfile = True |
|
1364 | update_figfile = True | |
| 1371 |
|
1365 | |||
| 1372 | self.save(figpath=figpath, |
|
1366 | self.save(figpath=figpath, | |
| 1373 | figfile=figfile, |
|
1367 | figfile=figfile, | |
| 1374 | save=save, |
|
1368 | save=save, | |
| 1375 | ftp=ftp, |
|
1369 | ftp=ftp, | |
| 1376 | wr_period=wr_period, |
|
1370 | wr_period=wr_period, | |
| 1377 | thisDatetime=thisDatetime, |
|
1371 | thisDatetime=thisDatetime, | |
| 1378 | update_figfile=update_figfile) |
|
1372 | update_figfile=update_figfile) | |
| 1379 |
|
1373 | |||
| 1380 | #store data beacon phase |
|
1374 | #store data beacon phase | |
| 1381 | if save: |
|
1375 | if save: | |
| 1382 | self.save_data(self.filename_noise, noisedB, thisDatetime) |
|
1376 | self.save_data(self.filename_noise, noisedB, thisDatetime) | |
| 1383 |
|
1377 | |||
| 1384 | class BeaconPhase(Figure): |
|
1378 | class BeaconPhase(Figure): | |
| 1385 |
|
1379 | |||
| 1386 | __isConfig = None |
|
1380 | __isConfig = None | |
| 1387 | __nsubplots = None |
|
1381 | __nsubplots = None | |
| 1388 |
|
1382 | |||
| 1389 | PREFIX = 'beacon_phase' |
|
1383 | PREFIX = 'beacon_phase' | |
| 1390 |
|
1384 | |||
| 1391 | def __init__(self, **kwargs): |
|
1385 | def __init__(self, **kwargs): | |
| 1392 | Figure.__init__(self, **kwargs) |
|
1386 | Figure.__init__(self, **kwargs) | |
| 1393 | self.timerange = 24*60*60 |
|
1387 | self.timerange = 24*60*60 | |
| 1394 | self.isConfig = False |
|
1388 | self.isConfig = False | |
| 1395 | self.__nsubplots = 1 |
|
1389 | self.__nsubplots = 1 | |
| 1396 | self.counter_imagwr = 0 |
|
1390 | self.counter_imagwr = 0 | |
| 1397 | self.WIDTH = 800 |
|
1391 | self.WIDTH = 800 | |
| 1398 | self.HEIGHT = 400 |
|
1392 | self.HEIGHT = 400 | |
| 1399 | self.WIDTHPROF = 120 |
|
1393 | self.WIDTHPROF = 120 | |
| 1400 | self.HEIGHTPROF = 0 |
|
1394 | self.HEIGHTPROF = 0 | |
| 1401 | self.xdata = None |
|
1395 | self.xdata = None | |
| 1402 | self.ydata = None |
|
1396 | self.ydata = None | |
| 1403 |
|
1397 | |||
| 1404 | self.PLOT_CODE = BEACON_CODE |
|
1398 | self.PLOT_CODE = BEACON_CODE | |
| 1405 |
|
1399 | |||
| 1406 | self.FTP_WEI = None |
|
1400 | self.FTP_WEI = None | |
| 1407 | self.EXP_CODE = None |
|
1401 | self.EXP_CODE = None | |
| 1408 | self.SUB_EXP_CODE = None |
|
1402 | self.SUB_EXP_CODE = None | |
| 1409 | self.PLOT_POS = None |
|
1403 | self.PLOT_POS = None | |
| 1410 |
|
1404 | |||
| 1411 | self.filename_phase = None |
|
1405 | self.filename_phase = None | |
| 1412 |
|
1406 | |||
| 1413 | self.figfile = None |
|
1407 | self.figfile = None | |
| 1414 |
|
1408 | |||
| 1415 | self.xmin = None |
|
1409 | self.xmin = None | |
| 1416 | self.xmax = None |
|
1410 | self.xmax = None | |
| 1417 |
|
1411 | |||
| 1418 | def getSubplots(self): |
|
1412 | def getSubplots(self): | |
| 1419 |
|
1413 | |||
| 1420 | ncol = 1 |
|
1414 | ncol = 1 | |
| 1421 | nrow = 1 |
|
1415 | nrow = 1 | |
| 1422 |
|
1416 | |||
| 1423 | return nrow, ncol |
|
1417 | return nrow, ncol | |
| 1424 |
|
1418 | |||
| 1425 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
1419 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 1426 |
|
1420 | |||
| 1427 | self.__showprofile = showprofile |
|
1421 | self.__showprofile = showprofile | |
| 1428 | self.nplots = nplots |
|
1422 | self.nplots = nplots | |
| 1429 |
|
1423 | |||
| 1430 | ncolspan = 7 |
|
1424 | ncolspan = 7 | |
| 1431 | colspan = 6 |
|
1425 | colspan = 6 | |
| 1432 | self.__nsubplots = 2 |
|
1426 | self.__nsubplots = 2 | |
| 1433 |
|
1427 | |||
| 1434 | self.createFigure(id = id, |
|
1428 | self.createFigure(id = id, | |
| 1435 | wintitle = wintitle, |
|
1429 | wintitle = wintitle, | |
| 1436 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
1430 | widthplot = self.WIDTH+self.WIDTHPROF, | |
| 1437 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
1431 | heightplot = self.HEIGHT+self.HEIGHTPROF, | |
| 1438 | show=show) |
|
1432 | show=show) | |
| 1439 |
|
1433 | |||
| 1440 | nrow, ncol = self.getSubplots() |
|
1434 | nrow, ncol = self.getSubplots() | |
| 1441 |
|
1435 | |||
| 1442 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
1436 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) | |
| 1443 |
|
1437 | |||
| 1444 | def save_phase(self, filename_phase): |
|
1438 | def save_phase(self, filename_phase): | |
| 1445 | f = open(filename_phase,'w+') |
|
1439 | f = open(filename_phase,'w+') | |
| 1446 | f.write('\n\n') |
|
1440 | f.write('\n\n') | |
| 1447 | f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n') |
|
1441 | f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n') | |
| 1448 | f.write('DD MM YYYY HH MM SS pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' ) |
|
1442 | f.write('DD MM YYYY HH MM SS pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' ) | |
| 1449 | f.close() |
|
1443 | f.close() | |
| 1450 |
|
1444 | |||
| 1451 | def save_data(self, filename_phase, data, data_datetime): |
|
1445 | def save_data(self, filename_phase, data, data_datetime): | |
| 1452 | f=open(filename_phase,'a') |
|
1446 | f=open(filename_phase,'a') | |
| 1453 | timetuple_data = data_datetime.timetuple() |
|
1447 | timetuple_data = data_datetime.timetuple() | |
| 1454 | day = str(timetuple_data.tm_mday) |
|
1448 | day = str(timetuple_data.tm_mday) | |
| 1455 | month = str(timetuple_data.tm_mon) |
|
1449 | month = str(timetuple_data.tm_mon) | |
| 1456 | year = str(timetuple_data.tm_year) |
|
1450 | year = str(timetuple_data.tm_year) | |
| 1457 | hour = str(timetuple_data.tm_hour) |
|
1451 | hour = str(timetuple_data.tm_hour) | |
| 1458 | minute = str(timetuple_data.tm_min) |
|
1452 | minute = str(timetuple_data.tm_min) | |
| 1459 | second = str(timetuple_data.tm_sec) |
|
1453 | second = str(timetuple_data.tm_sec) | |
| 1460 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n') |
|
1454 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n') | |
| 1461 | f.close() |
|
1455 | f.close() | |
| 1462 |
|
1456 | |||
| 1463 |
|
1457 | |||
| 1464 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
1458 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', | |
| 1465 | xmin=None, xmax=None, ymin=None, ymax=None, hmin=None, hmax=None, |
|
1459 | xmin=None, xmax=None, ymin=None, ymax=None, hmin=None, hmax=None, | |
| 1466 | timerange=None, |
|
1460 | timerange=None, | |
| 1467 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
1461 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 1468 | server=None, folder=None, username=None, password=None, |
|
1462 | server=None, folder=None, username=None, password=None, | |
| 1469 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
1463 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 1470 |
|
1464 | |||
| 1471 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
1465 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
| 1472 | return |
|
1466 | return | |
| 1473 |
|
1467 | |||
| 1474 | if pairsList == None: |
|
1468 | if pairsList == None: | |
| 1475 | pairsIndexList = dataOut.pairsIndexList[:10] |
|
1469 | pairsIndexList = dataOut.pairsIndexList[:10] | |
| 1476 | else: |
|
1470 | else: | |
| 1477 | pairsIndexList = [] |
|
1471 | pairsIndexList = [] | |
| 1478 | for pair in pairsList: |
|
1472 | for pair in pairsList: | |
| 1479 | if pair not in dataOut.pairsList: |
|
1473 | if pair not in dataOut.pairsList: | |
| 1480 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
1474 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) | |
| 1481 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
1475 | pairsIndexList.append(dataOut.pairsList.index(pair)) | |
| 1482 |
|
1476 | |||
| 1483 | if pairsIndexList == []: |
|
1477 | if pairsIndexList == []: | |
| 1484 | return |
|
1478 | return | |
| 1485 |
|
1479 | |||
| 1486 | # if len(pairsIndexList) > 4: |
|
1480 | # if len(pairsIndexList) > 4: | |
| 1487 | # pairsIndexList = pairsIndexList[0:4] |
|
1481 | # pairsIndexList = pairsIndexList[0:4] | |
| 1488 |
|
1482 | |||
| 1489 | hmin_index = None |
|
1483 | hmin_index = None | |
| 1490 | hmax_index = None |
|
1484 | hmax_index = None | |
| 1491 |
|
1485 | |||
| 1492 | if hmin != None and hmax != None: |
|
1486 | if hmin != None and hmax != None: | |
| 1493 | indexes = numpy.arange(dataOut.nHeights) |
|
1487 | indexes = numpy.arange(dataOut.nHeights) | |
| 1494 | hmin_list = indexes[dataOut.heightList >= hmin] |
|
1488 | hmin_list = indexes[dataOut.heightList >= hmin] | |
| 1495 | hmax_list = indexes[dataOut.heightList <= hmax] |
|
1489 | hmax_list = indexes[dataOut.heightList <= hmax] | |
| 1496 |
|
1490 | |||
| 1497 | if hmin_list.any(): |
|
1491 | if hmin_list.any(): | |
| 1498 | hmin_index = hmin_list[0] |
|
1492 | hmin_index = hmin_list[0] | |
| 1499 |
|
1493 | |||
| 1500 | if hmax_list.any(): |
|
1494 | if hmax_list.any(): | |
| 1501 | hmax_index = hmax_list[-1]+1 |
|
1495 | hmax_index = hmax_list[-1]+1 | |
| 1502 |
|
1496 | |||
| 1503 | x = dataOut.getTimeRange() |
|
1497 | x = dataOut.getTimeRange() | |
| 1504 | #y = dataOut.getHeiRange() |
|
1498 | #y = dataOut.getHeiRange() | |
| 1505 |
|
1499 | |||
| 1506 |
|
1500 | |||
| 1507 | thisDatetime = dataOut.datatime |
|
1501 | thisDatetime = dataOut.datatime | |
| 1508 |
|
1502 | |||
| 1509 | title = wintitle + " Signal Phase" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1503 | title = wintitle + " Signal Phase" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 1510 | xlabel = "Local Time" |
|
1504 | xlabel = "Local Time" | |
| 1511 | ylabel = "Phase (degrees)" |
|
1505 | ylabel = "Phase (degrees)" | |
| 1512 |
|
1506 | |||
| 1513 | update_figfile = False |
|
1507 | update_figfile = False | |
| 1514 |
|
1508 | |||
| 1515 | nplots = len(pairsIndexList) |
|
1509 | nplots = len(pairsIndexList) | |
| 1516 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) |
|
1510 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) | |
| 1517 | phase_beacon = numpy.zeros(len(pairsIndexList)) |
|
1511 | phase_beacon = numpy.zeros(len(pairsIndexList)) | |
| 1518 | for i in range(nplots): |
|
1512 | for i in range(nplots): | |
| 1519 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
1513 | pair = dataOut.pairsList[pairsIndexList[i]] | |
| 1520 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i], :, hmin_index:hmax_index], axis=0) |
|
1514 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i], :, hmin_index:hmax_index], axis=0) | |
| 1521 | powa = numpy.average(dataOut.data_spc[pair[0], :, hmin_index:hmax_index], axis=0) |
|
1515 | powa = numpy.average(dataOut.data_spc[pair[0], :, hmin_index:hmax_index], axis=0) | |
| 1522 | powb = numpy.average(dataOut.data_spc[pair[1], :, hmin_index:hmax_index], axis=0) |
|
1516 | powb = numpy.average(dataOut.data_spc[pair[1], :, hmin_index:hmax_index], axis=0) | |
| 1523 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
1517 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) | |
| 1524 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
1518 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi | |
| 1525 |
|
1519 | |||
| 1526 | #print "Phase %d%d" %(pair[0], pair[1]) |
|
1520 | #print "Phase %d%d" %(pair[0], pair[1]) | |
| 1527 | #print phase[dataOut.beacon_heiIndexList] |
|
1521 | #print phase[dataOut.beacon_heiIndexList] | |
| 1528 |
|
1522 | |||
| 1529 | if dataOut.beacon_heiIndexList: |
|
1523 | if dataOut.beacon_heiIndexList: | |
| 1530 | phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList]) |
|
1524 | phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList]) | |
| 1531 | else: |
|
1525 | else: | |
| 1532 | phase_beacon[i] = numpy.average(phase) |
|
1526 | phase_beacon[i] = numpy.average(phase) | |
| 1533 |
|
1527 | |||
| 1534 | if not self.isConfig: |
|
1528 | if not self.isConfig: | |
| 1535 |
|
1529 | |||
| 1536 | nplots = len(pairsIndexList) |
|
1530 | nplots = len(pairsIndexList) | |
| 1537 |
|
1531 | |||
| 1538 | self.setup(id=id, |
|
1532 | self.setup(id=id, | |
| 1539 | nplots=nplots, |
|
1533 | nplots=nplots, | |
| 1540 | wintitle=wintitle, |
|
1534 | wintitle=wintitle, | |
| 1541 | showprofile=showprofile, |
|
1535 | showprofile=showprofile, | |
| 1542 | show=show) |
|
1536 | show=show) | |
| 1543 |
|
1537 | |||
| 1544 | if timerange != None: |
|
1538 | if timerange != None: | |
| 1545 | self.timerange = timerange |
|
1539 | self.timerange = timerange | |
| 1546 |
|
1540 | |||
| 1547 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
1541 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 1548 |
|
1542 | |||
| 1549 | if ymin == None: ymin = 0 |
|
1543 | if ymin == None: ymin = 0 | |
| 1550 | if ymax == None: ymax = 360 |
|
1544 | if ymax == None: ymax = 360 | |
| 1551 |
|
1545 | |||
| 1552 | self.FTP_WEI = ftp_wei |
|
1546 | self.FTP_WEI = ftp_wei | |
| 1553 | self.EXP_CODE = exp_code |
|
1547 | self.EXP_CODE = exp_code | |
| 1554 | self.SUB_EXP_CODE = sub_exp_code |
|
1548 | self.SUB_EXP_CODE = sub_exp_code | |
| 1555 | self.PLOT_POS = plot_pos |
|
1549 | self.PLOT_POS = plot_pos | |
| 1556 |
|
1550 | |||
| 1557 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
1551 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 1558 | self.isConfig = True |
|
1552 | self.isConfig = True | |
| 1559 | self.figfile = figfile |
|
1553 | self.figfile = figfile | |
| 1560 | self.xdata = numpy.array([]) |
|
1554 | self.xdata = numpy.array([]) | |
| 1561 | self.ydata = numpy.array([]) |
|
1555 | self.ydata = numpy.array([]) | |
| 1562 |
|
1556 | |||
| 1563 | update_figfile = True |
|
1557 | update_figfile = True | |
| 1564 |
|
1558 | |||
| 1565 | #open file beacon phase |
|
1559 | #open file beacon phase | |
| 1566 | path = '%s%03d' %(self.PREFIX, self.id) |
|
1560 | path = '%s%03d' %(self.PREFIX, self.id) | |
| 1567 | beacon_file = os.path.join(path,'%s.txt'%self.name) |
|
1561 | beacon_file = os.path.join(path,'%s.txt'%self.name) | |
| 1568 | self.filename_phase = os.path.join(figpath,beacon_file) |
|
1562 | self.filename_phase = os.path.join(figpath,beacon_file) | |
| 1569 | #self.save_phase(self.filename_phase) |
|
1563 | #self.save_phase(self.filename_phase) | |
| 1570 |
|
1564 | |||
| 1571 |
|
1565 | |||
| 1572 | #store data beacon phase |
|
1566 | #store data beacon phase | |
| 1573 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) |
|
1567 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) | |
| 1574 |
|
1568 | |||
| 1575 | self.setWinTitle(title) |
|
1569 | self.setWinTitle(title) | |
| 1576 |
|
1570 | |||
| 1577 |
|
1571 | |||
| 1578 | title = "Phase Plot %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1572 | title = "Phase Plot %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1579 |
|
1573 | |||
| 1580 | legendlabels = ["Pair (%d,%d)"%(pair[0], pair[1]) for pair in dataOut.pairsList] |
|
1574 | legendlabels = ["Pair (%d,%d)"%(pair[0], pair[1]) for pair in dataOut.pairsList] | |
| 1581 |
|
1575 | |||
| 1582 | axes = self.axesList[0] |
|
1576 | axes = self.axesList[0] | |
| 1583 |
|
1577 | |||
| 1584 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
1578 | self.xdata = numpy.hstack((self.xdata, x[0:1])) | |
| 1585 |
|
1579 | |||
| 1586 | if len(self.ydata)==0: |
|
1580 | if len(self.ydata)==0: | |
| 1587 | self.ydata = phase_beacon.reshape(-1,1) |
|
1581 | self.ydata = phase_beacon.reshape(-1,1) | |
| 1588 | else: |
|
1582 | else: | |
| 1589 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) |
|
1583 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) | |
| 1590 |
|
1584 | |||
| 1591 |
|
1585 | |||
| 1592 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
1586 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, | |
| 1593 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
1587 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, | |
| 1594 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
1588 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", | |
| 1595 | XAxisAsTime=True, grid='both' |
|
1589 | XAxisAsTime=True, grid='both' | |
| 1596 | ) |
|
1590 | ) | |
| 1597 |
|
1591 | |||
| 1598 | self.draw() |
|
1592 | self.draw() | |
| 1599 |
|
1593 | |||
| 1600 | if dataOut.ltctime >= self.xmax: |
|
1594 | if dataOut.ltctime >= self.xmax: | |
| 1601 | self.counter_imagwr = wr_period |
|
1595 | self.counter_imagwr = wr_period | |
| 1602 | self.isConfig = False |
|
1596 | self.isConfig = False | |
| 1603 | update_figfile = True |
|
1597 | update_figfile = True | |
| 1604 |
|
1598 | |||
| 1605 | self.save(figpath=figpath, |
|
1599 | self.save(figpath=figpath, | |
| 1606 | figfile=figfile, |
|
1600 | figfile=figfile, | |
| 1607 | save=save, |
|
1601 | save=save, | |
| 1608 | ftp=ftp, |
|
1602 | ftp=ftp, | |
| 1609 | wr_period=wr_period, |
|
1603 | wr_period=wr_period, | |
| 1610 | thisDatetime=thisDatetime, |
|
1604 | thisDatetime=thisDatetime, | |
| 1611 | update_figfile=update_figfile) |
|
1605 | update_figfile=update_figfile) | |
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|
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| @@ -1,1068 +1,1067 | |||||
| 1 | import numpy |
|
1 | import numpy | |
| 2 |
|
2 | |||
| 3 | from jroproc_base import ProcessingUnit, Operation |
|
3 | from jroproc_base import ProcessingUnit, Operation | |
| 4 | from schainpy.model.data.jrodata import Spectra |
|
4 | from schainpy.model.data.jrodata import Spectra | |
| 5 | from schainpy.model.data.jrodata import hildebrand_sekhon |
|
5 | from schainpy.model.data.jrodata import hildebrand_sekhon | |
| 6 |
|
6 | |||
| 7 | import matplotlib.pyplot as plt |
|
7 | import matplotlib.pyplot as plt | |
| 8 |
|
8 | |||
| 9 | class SpectraProc(ProcessingUnit): |
|
9 | class SpectraProc(ProcessingUnit): | |
| 10 |
|
10 | |||
| 11 | def __init__(self, **kwargs): |
|
11 | def __init__(self, **kwargs): | |
| 12 |
|
12 | |||
| 13 | ProcessingUnit.__init__(self, **kwargs) |
|
13 | ProcessingUnit.__init__(self, **kwargs) | |
| 14 |
|
14 | |||
| 15 | self.buffer = None |
|
15 | self.buffer = None | |
| 16 | self.firstdatatime = None |
|
16 | self.firstdatatime = None | |
| 17 | self.profIndex = 0 |
|
17 | self.profIndex = 0 | |
| 18 | self.dataOut = Spectra() |
|
18 | self.dataOut = Spectra() | |
| 19 | self.id_min = None |
|
19 | self.id_min = None | |
| 20 | self.id_max = None |
|
20 | self.id_max = None | |
| 21 |
|
21 | |||
| 22 | def __updateSpecFromVoltage(self): |
|
22 | def __updateSpecFromVoltage(self): | |
| 23 |
|
23 | |||
| 24 | self.dataOut.timeZone = self.dataIn.timeZone |
|
24 | self.dataOut.timeZone = self.dataIn.timeZone | |
| 25 | self.dataOut.dstFlag = self.dataIn.dstFlag |
|
25 | self.dataOut.dstFlag = self.dataIn.dstFlag | |
| 26 | self.dataOut.errorCount = self.dataIn.errorCount |
|
26 | self.dataOut.errorCount = self.dataIn.errorCount | |
| 27 | self.dataOut.useLocalTime = self.dataIn.useLocalTime |
|
27 | self.dataOut.useLocalTime = self.dataIn.useLocalTime | |
| 28 |
|
28 | |||
| 29 | self.dataOut.radarControllerHeaderObj = self.dataIn.radarControllerHeaderObj.copy() |
|
29 | self.dataOut.radarControllerHeaderObj = self.dataIn.radarControllerHeaderObj.copy() | |
| 30 | self.dataOut.systemHeaderObj = self.dataIn.systemHeaderObj.copy() |
|
30 | self.dataOut.systemHeaderObj = self.dataIn.systemHeaderObj.copy() | |
| 31 | self.dataOut.channelList = self.dataIn.channelList |
|
31 | self.dataOut.channelList = self.dataIn.channelList | |
| 32 | self.dataOut.heightList = self.dataIn.heightList |
|
32 | self.dataOut.heightList = self.dataIn.heightList | |
| 33 | self.dataOut.dtype = numpy.dtype([('real','<f4'),('imag','<f4')]) |
|
33 | self.dataOut.dtype = numpy.dtype([('real','<f4'),('imag','<f4')]) | |
| 34 |
|
34 | |||
| 35 | self.dataOut.nBaud = self.dataIn.nBaud |
|
35 | self.dataOut.nBaud = self.dataIn.nBaud | |
| 36 | self.dataOut.nCode = self.dataIn.nCode |
|
36 | self.dataOut.nCode = self.dataIn.nCode | |
| 37 | self.dataOut.code = self.dataIn.code |
|
37 | self.dataOut.code = self.dataIn.code | |
| 38 | self.dataOut.nProfiles = self.dataOut.nFFTPoints |
|
38 | self.dataOut.nProfiles = self.dataOut.nFFTPoints | |
| 39 |
|
39 | |||
| 40 | self.dataOut.flagDiscontinuousBlock = self.dataIn.flagDiscontinuousBlock |
|
40 | self.dataOut.flagDiscontinuousBlock = self.dataIn.flagDiscontinuousBlock | |
| 41 | self.dataOut.utctime = self.firstdatatime |
|
41 | self.dataOut.utctime = self.firstdatatime | |
| 42 | self.dataOut.flagDecodeData = self.dataIn.flagDecodeData #asumo q la data esta decodificada |
|
42 | self.dataOut.flagDecodeData = self.dataIn.flagDecodeData #asumo q la data esta decodificada | |
| 43 | self.dataOut.flagDeflipData = self.dataIn.flagDeflipData #asumo q la data esta sin flip |
|
43 | self.dataOut.flagDeflipData = self.dataIn.flagDeflipData #asumo q la data esta sin flip | |
| 44 | self.dataOut.flagShiftFFT = False |
|
44 | self.dataOut.flagShiftFFT = False | |
| 45 |
|
45 | |||
| 46 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
46 | self.dataOut.nCohInt = self.dataIn.nCohInt | |
| 47 | self.dataOut.nIncohInt = 1 |
|
47 | self.dataOut.nIncohInt = 1 | |
| 48 |
|
48 | |||
| 49 | self.dataOut.windowOfFilter = self.dataIn.windowOfFilter |
|
49 | self.dataOut.windowOfFilter = self.dataIn.windowOfFilter | |
| 50 |
|
50 | |||
| 51 | self.dataOut.frequency = self.dataIn.frequency |
|
51 | self.dataOut.frequency = self.dataIn.frequency | |
| 52 | self.dataOut.realtime = self.dataIn.realtime |
|
52 | self.dataOut.realtime = self.dataIn.realtime | |
| 53 |
|
53 | |||
| 54 | self.dataOut.azimuth = self.dataIn.azimuth |
|
54 | self.dataOut.azimuth = self.dataIn.azimuth | |
| 55 | self.dataOut.zenith = self.dataIn.zenith |
|
55 | self.dataOut.zenith = self.dataIn.zenith | |
| 56 |
|
56 | |||
| 57 | self.dataOut.beam.codeList = self.dataIn.beam.codeList |
|
57 | self.dataOut.beam.codeList = self.dataIn.beam.codeList | |
| 58 | self.dataOut.beam.azimuthList = self.dataIn.beam.azimuthList |
|
58 | self.dataOut.beam.azimuthList = self.dataIn.beam.azimuthList | |
| 59 | self.dataOut.beam.zenithList = self.dataIn.beam.zenithList |
|
59 | self.dataOut.beam.zenithList = self.dataIn.beam.zenithList | |
| 60 |
|
60 | |||
| 61 | def __getFft(self): |
|
61 | def __getFft(self): | |
| 62 | """ |
|
62 | """ | |
| 63 | Convierte valores de Voltaje a Spectra |
|
63 | Convierte valores de Voltaje a Spectra | |
| 64 |
|
64 | |||
| 65 | Affected: |
|
65 | Affected: | |
| 66 | self.dataOut.data_spc |
|
66 | self.dataOut.data_spc | |
| 67 | self.dataOut.data_cspc |
|
67 | self.dataOut.data_cspc | |
| 68 | self.dataOut.data_dc |
|
68 | self.dataOut.data_dc | |
| 69 | self.dataOut.heightList |
|
69 | self.dataOut.heightList | |
| 70 | self.profIndex |
|
70 | self.profIndex | |
| 71 | self.buffer |
|
71 | self.buffer | |
| 72 | self.dataOut.flagNoData |
|
72 | self.dataOut.flagNoData | |
| 73 | """ |
|
73 | """ | |
| 74 | fft_volt = numpy.fft.fft(self.buffer,n=self.dataOut.nFFTPoints,axis=1) |
|
74 | fft_volt = numpy.fft.fft(self.buffer,n=self.dataOut.nFFTPoints,axis=1) | |
| 75 |
|
75 | |||
| 76 | fft_volt = fft_volt.astype(numpy.dtype('complex')) |
|
76 | fft_volt = fft_volt.astype(numpy.dtype('complex')) | |
| 77 | dc = fft_volt[:,0,:] |
|
77 | dc = fft_volt[:,0,:] | |
| 78 |
|
78 | |||
| 79 | #calculo de self-spectra |
|
79 | #calculo de self-spectra | |
| 80 | fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,)) |
|
80 | fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,)) | |
| 81 | spc = fft_volt * numpy.conjugate(fft_volt) |
|
81 | spc = fft_volt * numpy.conjugate(fft_volt) | |
| 82 | spc = spc.real |
|
82 | spc = spc.real | |
| 83 |
|
83 | |||
| 84 | blocksize = 0 |
|
84 | blocksize = 0 | |
| 85 | blocksize += dc.size |
|
85 | blocksize += dc.size | |
| 86 | blocksize += spc.size |
|
86 | blocksize += spc.size | |
| 87 |
|
87 | |||
| 88 | cspc = None |
|
88 | cspc = None | |
| 89 | pairIndex = 0 |
|
89 | pairIndex = 0 | |
| 90 | if self.dataOut.pairsList != None: |
|
90 | if self.dataOut.pairsList != None: | |
| 91 | #calculo de cross-spectra |
|
91 | #calculo de cross-spectra | |
| 92 | cspc = numpy.zeros((self.dataOut.nPairs, self.dataOut.nFFTPoints, self.dataOut.nHeights), dtype='complex') |
|
92 | cspc = numpy.zeros((self.dataOut.nPairs, self.dataOut.nFFTPoints, self.dataOut.nHeights), dtype='complex') | |
| 93 | for pair in self.dataOut.pairsList: |
|
93 | for pair in self.dataOut.pairsList: | |
| 94 | if pair[0] not in self.dataOut.channelList: |
|
94 | if pair[0] not in self.dataOut.channelList: | |
| 95 | raise ValueError, "Error getting CrossSpectra: pair 0 of %s is not in channelList = %s" %(str(pair), str(self.dataOut.channelList)) |
|
95 | raise ValueError, "Error getting CrossSpectra: pair 0 of %s is not in channelList = %s" %(str(pair), str(self.dataOut.channelList)) | |
| 96 | if pair[1] not in self.dataOut.channelList: |
|
96 | if pair[1] not in self.dataOut.channelList: | |
| 97 | raise ValueError, "Error getting CrossSpectra: pair 1 of %s is not in channelList = %s" %(str(pair), str(self.dataOut.channelList)) |
|
97 | raise ValueError, "Error getting CrossSpectra: pair 1 of %s is not in channelList = %s" %(str(pair), str(self.dataOut.channelList)) | |
| 98 |
|
98 | |||
| 99 | cspc[pairIndex,:,:] = fft_volt[pair[0],:,:] * numpy.conjugate(fft_volt[pair[1],:,:]) |
|
99 | cspc[pairIndex,:,:] = fft_volt[pair[0],:,:] * numpy.conjugate(fft_volt[pair[1],:,:]) | |
| 100 | pairIndex += 1 |
|
100 | pairIndex += 1 | |
| 101 | blocksize += cspc.size |
|
101 | blocksize += cspc.size | |
| 102 |
|
102 | |||
| 103 | self.dataOut.data_spc = spc |
|
103 | self.dataOut.data_spc = spc | |
| 104 | self.dataOut.data_cspc = cspc |
|
104 | self.dataOut.data_cspc = cspc | |
| 105 | self.dataOut.data_dc = dc |
|
105 | self.dataOut.data_dc = dc | |
| 106 | self.dataOut.blockSize = blocksize |
|
106 | self.dataOut.blockSize = blocksize | |
| 107 | self.dataOut.flagShiftFFT = True |
|
107 | self.dataOut.flagShiftFFT = True | |
| 108 |
|
108 | |||
| 109 | def run(self, nProfiles=None, nFFTPoints=None, pairsList=[], ippFactor=None): |
|
109 | def run(self, nProfiles=None, nFFTPoints=None, pairsList=[], ippFactor=None): | |
| 110 |
|
110 | |||
| 111 | self.dataOut.flagNoData = True |
|
111 | self.dataOut.flagNoData = True | |
| 112 |
|
112 | |||
| 113 | if self.dataIn.type == "Spectra": |
|
113 | if self.dataIn.type == "Spectra": | |
| 114 | self.dataOut.copy(self.dataIn) |
|
114 | self.dataOut.copy(self.dataIn) | |
| 115 | # self.__selectPairs(pairsList) |
|
115 | # self.__selectPairs(pairsList) | |
| 116 | return True |
|
116 | return True | |
| 117 |
|
117 | |||
| 118 | if self.dataIn.type == "Voltage": |
|
118 | if self.dataIn.type == "Voltage": | |
| 119 |
|
119 | |||
| 120 | if nFFTPoints == None: |
|
120 | if nFFTPoints == None: | |
| 121 | raise ValueError, "This SpectraProc.run() need nFFTPoints input variable" |
|
121 | raise ValueError, "This SpectraProc.run() need nFFTPoints input variable" | |
| 122 |
|
122 | |||
| 123 | if nProfiles == None: |
|
123 | if nProfiles == None: | |
| 124 | nProfiles = nFFTPoints |
|
124 | nProfiles = nFFTPoints | |
| 125 |
|
125 | |||
| 126 | if ippFactor == None: |
|
126 | if ippFactor == None: | |
| 127 | ippFactor = 1 |
|
127 | ippFactor = 1 | |
| 128 |
|
128 | |||
| 129 | self.dataOut.ippFactor = ippFactor |
|
129 | self.dataOut.ippFactor = ippFactor | |
| 130 |
|
130 | |||
| 131 | self.dataOut.nFFTPoints = nFFTPoints |
|
131 | self.dataOut.nFFTPoints = nFFTPoints | |
| 132 | self.dataOut.pairsList = pairsList |
|
132 | self.dataOut.pairsList = pairsList | |
| 133 |
|
133 | |||
| 134 | if self.buffer is None: |
|
134 | if self.buffer is None: | |
| 135 | self.buffer = numpy.zeros( (self.dataIn.nChannels, |
|
135 | self.buffer = numpy.zeros( (self.dataIn.nChannels, | |
| 136 | nProfiles, |
|
136 | nProfiles, | |
| 137 | self.dataIn.nHeights), |
|
137 | self.dataIn.nHeights), | |
| 138 | dtype='complex') |
|
138 | dtype='complex') | |
| 139 |
|
139 | |||
| 140 | if self.dataIn.flagDataAsBlock: |
|
140 | if self.dataIn.flagDataAsBlock: | |
| 141 | #data dimension: [nChannels, nProfiles, nSamples] |
|
141 | #data dimension: [nChannels, nProfiles, nSamples] | |
| 142 |
|
142 | |||
| 143 | nVoltProfiles = self.dataIn.data.shape[1] |
|
143 | nVoltProfiles = self.dataIn.data.shape[1] | |
| 144 | # nVoltProfiles = self.dataIn.nProfiles |
|
144 | # nVoltProfiles = self.dataIn.nProfiles | |
| 145 |
|
145 | |||
| 146 | if nVoltProfiles == nProfiles: |
|
146 | if nVoltProfiles == nProfiles: | |
| 147 | self.buffer = self.dataIn.data.copy() |
|
147 | self.buffer = self.dataIn.data.copy() | |
| 148 | self.profIndex = nVoltProfiles |
|
148 | self.profIndex = nVoltProfiles | |
| 149 |
|
149 | |||
| 150 | elif nVoltProfiles < nProfiles: |
|
150 | elif nVoltProfiles < nProfiles: | |
| 151 |
|
151 | |||
| 152 | if self.profIndex == 0: |
|
152 | if self.profIndex == 0: | |
| 153 | self.id_min = 0 |
|
153 | self.id_min = 0 | |
| 154 | self.id_max = nVoltProfiles |
|
154 | self.id_max = nVoltProfiles | |
| 155 |
|
155 | |||
| 156 | self.buffer[:,self.id_min:self.id_max,:] = self.dataIn.data |
|
156 | self.buffer[:,self.id_min:self.id_max,:] = self.dataIn.data | |
| 157 | self.profIndex += nVoltProfiles |
|
157 | self.profIndex += nVoltProfiles | |
| 158 | self.id_min += nVoltProfiles |
|
158 | self.id_min += nVoltProfiles | |
| 159 | self.id_max += nVoltProfiles |
|
159 | self.id_max += nVoltProfiles | |
| 160 | else: |
|
160 | else: | |
| 161 | raise ValueError, "The type object %s has %d profiles, it should just has %d profiles"%(self.dataIn.type,self.dataIn.data.shape[1],nProfiles) |
|
161 | raise ValueError, "The type object %s has %d profiles, it should just has %d profiles"%(self.dataIn.type,self.dataIn.data.shape[1],nProfiles) | |
| 162 | self.dataOut.flagNoData = True |
|
162 | self.dataOut.flagNoData = True | |
| 163 | return 0 |
|
163 | return 0 | |
| 164 | else: |
|
164 | else: | |
| 165 | print 'DATA shape', self.dataIn.data.shape |
|
165 | ||
| 166 | sadsdf |
|
|||
| 167 | self.buffer[:,self.profIndex,:] = self.dataIn.data.copy() |
|
166 | self.buffer[:,self.profIndex,:] = self.dataIn.data.copy() | |
| 168 | self.profIndex += 1 |
|
167 | self.profIndex += 1 | |
| 169 |
|
168 | |||
| 170 | if self.firstdatatime == None: |
|
169 | if self.firstdatatime == None: | |
| 171 | self.firstdatatime = self.dataIn.utctime |
|
170 | self.firstdatatime = self.dataIn.utctime | |
| 172 |
|
171 | |||
| 173 | if self.profIndex == nProfiles: |
|
172 | if self.profIndex == nProfiles: | |
| 174 | self.__updateSpecFromVoltage() |
|
173 | self.__updateSpecFromVoltage() | |
| 175 | self.__getFft() |
|
174 | self.__getFft() | |
| 176 |
|
175 | |||
| 177 | self.dataOut.flagNoData = False |
|
176 | self.dataOut.flagNoData = False | |
| 178 | self.firstdatatime = None |
|
177 | self.firstdatatime = None | |
| 179 | self.profIndex = 0 |
|
178 | self.profIndex = 0 | |
| 180 |
|
179 | |||
| 181 | return True |
|
180 | return True | |
| 182 |
|
181 | |||
| 183 | raise ValueError, "The type of input object '%s' is not valid"%(self.dataIn.type) |
|
182 | raise ValueError, "The type of input object '%s' is not valid"%(self.dataIn.type) | |
| 184 |
|
183 | |||
| 185 | def __selectPairs(self, pairsList): |
|
184 | def __selectPairs(self, pairsList): | |
| 186 |
|
185 | |||
| 187 | if channelList == None: |
|
186 | if channelList == None: | |
| 188 | return |
|
187 | return | |
| 189 |
|
188 | |||
| 190 | pairsIndexListSelected = [] |
|
189 | pairsIndexListSelected = [] | |
| 191 |
|
190 | |||
| 192 | for thisPair in pairsList: |
|
191 | for thisPair in pairsList: | |
| 193 |
|
192 | |||
| 194 | if thisPair not in self.dataOut.pairsList: |
|
193 | if thisPair not in self.dataOut.pairsList: | |
| 195 | continue |
|
194 | continue | |
| 196 |
|
195 | |||
| 197 | pairIndex = self.dataOut.pairsList.index(thisPair) |
|
196 | pairIndex = self.dataOut.pairsList.index(thisPair) | |
| 198 |
|
197 | |||
| 199 | pairsIndexListSelected.append(pairIndex) |
|
198 | pairsIndexListSelected.append(pairIndex) | |
| 200 |
|
199 | |||
| 201 | if not pairsIndexListSelected: |
|
200 | if not pairsIndexListSelected: | |
| 202 | self.dataOut.data_cspc = None |
|
201 | self.dataOut.data_cspc = None | |
| 203 | self.dataOut.pairsList = [] |
|
202 | self.dataOut.pairsList = [] | |
| 204 | return |
|
203 | return | |
| 205 |
|
204 | |||
| 206 | self.dataOut.data_cspc = self.dataOut.data_cspc[pairsIndexListSelected] |
|
205 | self.dataOut.data_cspc = self.dataOut.data_cspc[pairsIndexListSelected] | |
| 207 | self.dataOut.pairsList = [self.dataOut.pairsList[i] for i in pairsIndexListSelected] |
|
206 | self.dataOut.pairsList = [self.dataOut.pairsList[i] for i in pairsIndexListSelected] | |
| 208 |
|
207 | |||
| 209 | return |
|
208 | return | |
| 210 |
|
209 | |||
| 211 | def __selectPairsByChannel(self, channelList=None): |
|
210 | def __selectPairsByChannel(self, channelList=None): | |
| 212 |
|
211 | |||
| 213 | if channelList == None: |
|
212 | if channelList == None: | |
| 214 | return |
|
213 | return | |
| 215 |
|
214 | |||
| 216 | pairsIndexListSelected = [] |
|
215 | pairsIndexListSelected = [] | |
| 217 | for pairIndex in self.dataOut.pairsIndexList: |
|
216 | for pairIndex in self.dataOut.pairsIndexList: | |
| 218 | #First pair |
|
217 | #First pair | |
| 219 | if self.dataOut.pairsList[pairIndex][0] not in channelList: |
|
218 | if self.dataOut.pairsList[pairIndex][0] not in channelList: | |
| 220 | continue |
|
219 | continue | |
| 221 | #Second pair |
|
220 | #Second pair | |
| 222 | if self.dataOut.pairsList[pairIndex][1] not in channelList: |
|
221 | if self.dataOut.pairsList[pairIndex][1] not in channelList: | |
| 223 | continue |
|
222 | continue | |
| 224 |
|
223 | |||
| 225 | pairsIndexListSelected.append(pairIndex) |
|
224 | pairsIndexListSelected.append(pairIndex) | |
| 226 |
|
225 | |||
| 227 | if not pairsIndexListSelected: |
|
226 | if not pairsIndexListSelected: | |
| 228 | self.dataOut.data_cspc = None |
|
227 | self.dataOut.data_cspc = None | |
| 229 | self.dataOut.pairsList = [] |
|
228 | self.dataOut.pairsList = [] | |
| 230 | return |
|
229 | return | |
| 231 |
|
230 | |||
| 232 | self.dataOut.data_cspc = self.dataOut.data_cspc[pairsIndexListSelected] |
|
231 | self.dataOut.data_cspc = self.dataOut.data_cspc[pairsIndexListSelected] | |
| 233 | self.dataOut.pairsList = [self.dataOut.pairsList[i] for i in pairsIndexListSelected] |
|
232 | self.dataOut.pairsList = [self.dataOut.pairsList[i] for i in pairsIndexListSelected] | |
| 234 |
|
233 | |||
| 235 | return |
|
234 | return | |
| 236 |
|
235 | |||
| 237 | def selectChannels(self, channelList): |
|
236 | def selectChannels(self, channelList): | |
| 238 |
|
237 | |||
| 239 | channelIndexList = [] |
|
238 | channelIndexList = [] | |
| 240 |
|
239 | |||
| 241 | for channel in channelList: |
|
240 | for channel in channelList: | |
| 242 | if channel not in self.dataOut.channelList: |
|
241 | if channel not in self.dataOut.channelList: | |
| 243 | raise ValueError, "Error selecting channels, Channel %d is not valid.\nAvailable channels = %s" %(channel, str(self.dataOut.channelList)) |
|
242 | raise ValueError, "Error selecting channels, Channel %d is not valid.\nAvailable channels = %s" %(channel, str(self.dataOut.channelList)) | |
| 244 |
|
243 | |||
| 245 | index = self.dataOut.channelList.index(channel) |
|
244 | index = self.dataOut.channelList.index(channel) | |
| 246 | channelIndexList.append(index) |
|
245 | channelIndexList.append(index) | |
| 247 |
|
246 | |||
| 248 | self.selectChannelsByIndex(channelIndexList) |
|
247 | self.selectChannelsByIndex(channelIndexList) | |
| 249 |
|
248 | |||
| 250 | def selectChannelsByIndex(self, channelIndexList): |
|
249 | def selectChannelsByIndex(self, channelIndexList): | |
| 251 | """ |
|
250 | """ | |
| 252 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
251 | Selecciona un bloque de datos en base a canales segun el channelIndexList | |
| 253 |
|
252 | |||
| 254 | Input: |
|
253 | Input: | |
| 255 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
254 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] | |
| 256 |
|
255 | |||
| 257 | Affected: |
|
256 | Affected: | |
| 258 | self.dataOut.data_spc |
|
257 | self.dataOut.data_spc | |
| 259 | self.dataOut.channelIndexList |
|
258 | self.dataOut.channelIndexList | |
| 260 | self.dataOut.nChannels |
|
259 | self.dataOut.nChannels | |
| 261 |
|
260 | |||
| 262 | Return: |
|
261 | Return: | |
| 263 | None |
|
262 | None | |
| 264 | """ |
|
263 | """ | |
| 265 |
|
264 | |||
| 266 | for channelIndex in channelIndexList: |
|
265 | for channelIndex in channelIndexList: | |
| 267 | if channelIndex not in self.dataOut.channelIndexList: |
|
266 | if channelIndex not in self.dataOut.channelIndexList: | |
| 268 | raise ValueError, "Error selecting channels: The value %d in channelIndexList is not valid.\nAvailable channel indexes = " %(channelIndex, self.dataOut.channelIndexList) |
|
267 | raise ValueError, "Error selecting channels: The value %d in channelIndexList is not valid.\nAvailable channel indexes = " %(channelIndex, self.dataOut.channelIndexList) | |
| 269 |
|
268 | |||
| 270 | # nChannels = len(channelIndexList) |
|
269 | # nChannels = len(channelIndexList) | |
| 271 |
|
270 | |||
| 272 | data_spc = self.dataOut.data_spc[channelIndexList,:] |
|
271 | data_spc = self.dataOut.data_spc[channelIndexList,:] | |
| 273 | data_dc = self.dataOut.data_dc[channelIndexList,:] |
|
272 | data_dc = self.dataOut.data_dc[channelIndexList,:] | |
| 274 |
|
273 | |||
| 275 | self.dataOut.data_spc = data_spc |
|
274 | self.dataOut.data_spc = data_spc | |
| 276 | self.dataOut.data_dc = data_dc |
|
275 | self.dataOut.data_dc = data_dc | |
| 277 |
|
276 | |||
| 278 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
277 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] | |
| 279 | # self.dataOut.nChannels = nChannels |
|
278 | # self.dataOut.nChannels = nChannels | |
| 280 |
|
279 | |||
| 281 | self.__selectPairsByChannel(self.dataOut.channelList) |
|
280 | self.__selectPairsByChannel(self.dataOut.channelList) | |
| 282 |
|
281 | |||
| 283 | return 1 |
|
282 | return 1 | |
| 284 |
|
283 | |||
| 285 |
|
284 | |||
| 286 | def selectFFTs(self, minFFT, maxFFT ): |
|
285 | def selectFFTs(self, minFFT, maxFFT ): | |
| 287 | """ |
|
286 | """ | |
| 288 | Selecciona un bloque de datos en base a un grupo de valores de puntos FFTs segun el rango |
|
287 | Selecciona un bloque de datos en base a un grupo de valores de puntos FFTs segun el rango | |
| 289 | minFFT<= FFT <= maxFFT |
|
288 | minFFT<= FFT <= maxFFT | |
| 290 | """ |
|
289 | """ | |
| 291 |
|
290 | |||
| 292 | if (minFFT > maxFFT): |
|
291 | if (minFFT > maxFFT): | |
| 293 | raise ValueError, "Error selecting heights: Height range (%d,%d) is not valid" % (minFFT, maxFFT) |
|
292 | raise ValueError, "Error selecting heights: Height range (%d,%d) is not valid" % (minFFT, maxFFT) | |
| 294 |
|
293 | |||
| 295 | if (minFFT < self.dataOut.getFreqRange()[0]): |
|
294 | if (minFFT < self.dataOut.getFreqRange()[0]): | |
| 296 | minFFT = self.dataOut.getFreqRange()[0] |
|
295 | minFFT = self.dataOut.getFreqRange()[0] | |
| 297 |
|
296 | |||
| 298 | if (maxFFT > self.dataOut.getFreqRange()[-1]): |
|
297 | if (maxFFT > self.dataOut.getFreqRange()[-1]): | |
| 299 | maxFFT = self.dataOut.getFreqRange()[-1] |
|
298 | maxFFT = self.dataOut.getFreqRange()[-1] | |
| 300 |
|
299 | |||
| 301 | minIndex = 0 |
|
300 | minIndex = 0 | |
| 302 | maxIndex = 0 |
|
301 | maxIndex = 0 | |
| 303 | FFTs = self.dataOut.getFreqRange() |
|
302 | FFTs = self.dataOut.getFreqRange() | |
| 304 |
|
303 | |||
| 305 | inda = numpy.where(FFTs >= minFFT) |
|
304 | inda = numpy.where(FFTs >= minFFT) | |
| 306 | indb = numpy.where(FFTs <= maxFFT) |
|
305 | indb = numpy.where(FFTs <= maxFFT) | |
| 307 |
|
306 | |||
| 308 | try: |
|
307 | try: | |
| 309 | minIndex = inda[0][0] |
|
308 | minIndex = inda[0][0] | |
| 310 | except: |
|
309 | except: | |
| 311 | minIndex = 0 |
|
310 | minIndex = 0 | |
| 312 |
|
311 | |||
| 313 | try: |
|
312 | try: | |
| 314 | maxIndex = indb[0][-1] |
|
313 | maxIndex = indb[0][-1] | |
| 315 | except: |
|
314 | except: | |
| 316 | maxIndex = len(FFTs) |
|
315 | maxIndex = len(FFTs) | |
| 317 |
|
316 | |||
| 318 | self.selectFFTsByIndex(minIndex, maxIndex) |
|
317 | self.selectFFTsByIndex(minIndex, maxIndex) | |
| 319 |
|
318 | |||
| 320 | return 1 |
|
319 | return 1 | |
| 321 |
|
320 | |||
| 322 |
|
321 | |||
| 323 |
|
322 | |||
| 324 | def selectHeights(self, minHei, maxHei): |
|
323 | def selectHeights(self, minHei, maxHei): | |
| 325 | """ |
|
324 | """ | |
| 326 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
325 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango | |
| 327 | minHei <= height <= maxHei |
|
326 | minHei <= height <= maxHei | |
| 328 |
|
327 | |||
| 329 | Input: |
|
328 | Input: | |
| 330 | minHei : valor minimo de altura a considerar |
|
329 | minHei : valor minimo de altura a considerar | |
| 331 | maxHei : valor maximo de altura a considerar |
|
330 | maxHei : valor maximo de altura a considerar | |
| 332 |
|
331 | |||
| 333 | Affected: |
|
332 | Affected: | |
| 334 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
333 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex | |
| 335 |
|
334 | |||
| 336 | Return: |
|
335 | Return: | |
| 337 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
336 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 | |
| 338 | """ |
|
337 | """ | |
| 339 |
|
338 | |||
| 340 |
|
339 | |||
| 341 | if (minHei > maxHei): |
|
340 | if (minHei > maxHei): | |
| 342 | raise ValueError, "Error selecting heights: Height range (%d,%d) is not valid" % (minHei, maxHei) |
|
341 | raise ValueError, "Error selecting heights: Height range (%d,%d) is not valid" % (minHei, maxHei) | |
| 343 |
|
342 | |||
| 344 | if (minHei < self.dataOut.heightList[0]): |
|
343 | if (minHei < self.dataOut.heightList[0]): | |
| 345 | minHei = self.dataOut.heightList[0] |
|
344 | minHei = self.dataOut.heightList[0] | |
| 346 |
|
345 | |||
| 347 | if (maxHei > self.dataOut.heightList[-1]): |
|
346 | if (maxHei > self.dataOut.heightList[-1]): | |
| 348 | maxHei = self.dataOut.heightList[-1] |
|
347 | maxHei = self.dataOut.heightList[-1] | |
| 349 |
|
348 | |||
| 350 | minIndex = 0 |
|
349 | minIndex = 0 | |
| 351 | maxIndex = 0 |
|
350 | maxIndex = 0 | |
| 352 | heights = self.dataOut.heightList |
|
351 | heights = self.dataOut.heightList | |
| 353 |
|
352 | |||
| 354 | inda = numpy.where(heights >= minHei) |
|
353 | inda = numpy.where(heights >= minHei) | |
| 355 | indb = numpy.where(heights <= maxHei) |
|
354 | indb = numpy.where(heights <= maxHei) | |
| 356 |
|
355 | |||
| 357 | try: |
|
356 | try: | |
| 358 | minIndex = inda[0][0] |
|
357 | minIndex = inda[0][0] | |
| 359 | except: |
|
358 | except: | |
| 360 | minIndex = 0 |
|
359 | minIndex = 0 | |
| 361 |
|
360 | |||
| 362 | try: |
|
361 | try: | |
| 363 | maxIndex = indb[0][-1] |
|
362 | maxIndex = indb[0][-1] | |
| 364 | except: |
|
363 | except: | |
| 365 | maxIndex = len(heights) |
|
364 | maxIndex = len(heights) | |
| 366 |
|
365 | |||
| 367 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
366 | self.selectHeightsByIndex(minIndex, maxIndex) | |
| 368 |
|
367 | |||
| 369 |
|
368 | |||
| 370 | return 1 |
|
369 | return 1 | |
| 371 |
|
370 | |||
| 372 | def getBeaconSignal(self, tauindex = 0, channelindex = 0, hei_ref=None): |
|
371 | def getBeaconSignal(self, tauindex = 0, channelindex = 0, hei_ref=None): | |
| 373 | newheis = numpy.where(self.dataOut.heightList>self.dataOut.radarControllerHeaderObj.Taus[tauindex]) |
|
372 | newheis = numpy.where(self.dataOut.heightList>self.dataOut.radarControllerHeaderObj.Taus[tauindex]) | |
| 374 |
|
373 | |||
| 375 | if hei_ref != None: |
|
374 | if hei_ref != None: | |
| 376 | newheis = numpy.where(self.dataOut.heightList>hei_ref) |
|
375 | newheis = numpy.where(self.dataOut.heightList>hei_ref) | |
| 377 |
|
376 | |||
| 378 | minIndex = min(newheis[0]) |
|
377 | minIndex = min(newheis[0]) | |
| 379 | maxIndex = max(newheis[0]) |
|
378 | maxIndex = max(newheis[0]) | |
| 380 | data_spc = self.dataOut.data_spc[:,:,minIndex:maxIndex+1] |
|
379 | data_spc = self.dataOut.data_spc[:,:,minIndex:maxIndex+1] | |
| 381 | heightList = self.dataOut.heightList[minIndex:maxIndex+1] |
|
380 | heightList = self.dataOut.heightList[minIndex:maxIndex+1] | |
| 382 |
|
381 | |||
| 383 | # determina indices |
|
382 | # determina indices | |
| 384 | nheis = int(self.dataOut.radarControllerHeaderObj.txB/(self.dataOut.heightList[1]-self.dataOut.heightList[0])) |
|
383 | nheis = int(self.dataOut.radarControllerHeaderObj.txB/(self.dataOut.heightList[1]-self.dataOut.heightList[0])) | |
| 385 | avg_dB = 10*numpy.log10(numpy.sum(data_spc[channelindex,:,:],axis=0)) |
|
384 | avg_dB = 10*numpy.log10(numpy.sum(data_spc[channelindex,:,:],axis=0)) | |
| 386 | beacon_dB = numpy.sort(avg_dB)[-nheis:] |
|
385 | beacon_dB = numpy.sort(avg_dB)[-nheis:] | |
| 387 | beacon_heiIndexList = [] |
|
386 | beacon_heiIndexList = [] | |
| 388 | for val in avg_dB.tolist(): |
|
387 | for val in avg_dB.tolist(): | |
| 389 | if val >= beacon_dB[0]: |
|
388 | if val >= beacon_dB[0]: | |
| 390 | beacon_heiIndexList.append(avg_dB.tolist().index(val)) |
|
389 | beacon_heiIndexList.append(avg_dB.tolist().index(val)) | |
| 391 |
|
390 | |||
| 392 | #data_spc = data_spc[:,:,beacon_heiIndexList] |
|
391 | #data_spc = data_spc[:,:,beacon_heiIndexList] | |
| 393 | data_cspc = None |
|
392 | data_cspc = None | |
| 394 | if self.dataOut.data_cspc is not None: |
|
393 | if self.dataOut.data_cspc is not None: | |
| 395 | data_cspc = self.dataOut.data_cspc[:,:,minIndex:maxIndex+1] |
|
394 | data_cspc = self.dataOut.data_cspc[:,:,minIndex:maxIndex+1] | |
| 396 | #data_cspc = data_cspc[:,:,beacon_heiIndexList] |
|
395 | #data_cspc = data_cspc[:,:,beacon_heiIndexList] | |
| 397 |
|
396 | |||
| 398 | data_dc = None |
|
397 | data_dc = None | |
| 399 | if self.dataOut.data_dc is not None: |
|
398 | if self.dataOut.data_dc is not None: | |
| 400 | data_dc = self.dataOut.data_dc[:,minIndex:maxIndex+1] |
|
399 | data_dc = self.dataOut.data_dc[:,minIndex:maxIndex+1] | |
| 401 | #data_dc = data_dc[:,beacon_heiIndexList] |
|
400 | #data_dc = data_dc[:,beacon_heiIndexList] | |
| 402 |
|
401 | |||
| 403 | self.dataOut.data_spc = data_spc |
|
402 | self.dataOut.data_spc = data_spc | |
| 404 | self.dataOut.data_cspc = data_cspc |
|
403 | self.dataOut.data_cspc = data_cspc | |
| 405 | self.dataOut.data_dc = data_dc |
|
404 | self.dataOut.data_dc = data_dc | |
| 406 | self.dataOut.heightList = heightList |
|
405 | self.dataOut.heightList = heightList | |
| 407 | self.dataOut.beacon_heiIndexList = beacon_heiIndexList |
|
406 | self.dataOut.beacon_heiIndexList = beacon_heiIndexList | |
| 408 |
|
407 | |||
| 409 | return 1 |
|
408 | return 1 | |
| 410 |
|
409 | |||
| 411 | def selectFFTsByIndex(self, minIndex, maxIndex): |
|
410 | def selectFFTsByIndex(self, minIndex, maxIndex): | |
| 412 | """ |
|
411 | """ | |
| 413 |
|
412 | |||
| 414 | """ |
|
413 | """ | |
| 415 |
|
414 | |||
| 416 | if (minIndex < 0) or (minIndex > maxIndex): |
|
415 | if (minIndex < 0) or (minIndex > maxIndex): | |
| 417 | raise ValueError, "Error selecting heights: Index range (%d,%d) is not valid" % (minIndex, maxIndex) |
|
416 | raise ValueError, "Error selecting heights: Index range (%d,%d) is not valid" % (minIndex, maxIndex) | |
| 418 |
|
417 | |||
| 419 | if (maxIndex >= self.dataOut.nProfiles): |
|
418 | if (maxIndex >= self.dataOut.nProfiles): | |
| 420 | maxIndex = self.dataOut.nProfiles-1 |
|
419 | maxIndex = self.dataOut.nProfiles-1 | |
| 421 |
|
420 | |||
| 422 | #Spectra |
|
421 | #Spectra | |
| 423 | data_spc = self.dataOut.data_spc[:,minIndex:maxIndex+1,:] |
|
422 | data_spc = self.dataOut.data_spc[:,minIndex:maxIndex+1,:] | |
| 424 |
|
423 | |||
| 425 | data_cspc = None |
|
424 | data_cspc = None | |
| 426 | if self.dataOut.data_cspc is not None: |
|
425 | if self.dataOut.data_cspc is not None: | |
| 427 | data_cspc = self.dataOut.data_cspc[:,minIndex:maxIndex+1,:] |
|
426 | data_cspc = self.dataOut.data_cspc[:,minIndex:maxIndex+1,:] | |
| 428 |
|
427 | |||
| 429 | data_dc = None |
|
428 | data_dc = None | |
| 430 | if self.dataOut.data_dc is not None: |
|
429 | if self.dataOut.data_dc is not None: | |
| 431 | data_dc = self.dataOut.data_dc[minIndex:maxIndex+1,:] |
|
430 | data_dc = self.dataOut.data_dc[minIndex:maxIndex+1,:] | |
| 432 |
|
431 | |||
| 433 | self.dataOut.data_spc = data_spc |
|
432 | self.dataOut.data_spc = data_spc | |
| 434 | self.dataOut.data_cspc = data_cspc |
|
433 | self.dataOut.data_cspc = data_cspc | |
| 435 | self.dataOut.data_dc = data_dc |
|
434 | self.dataOut.data_dc = data_dc | |
| 436 |
|
435 | |||
| 437 | self.dataOut.ippSeconds = self.dataOut.ippSeconds*(self.dataOut.nFFTPoints / numpy.shape(data_cspc)[1]) |
|
436 | self.dataOut.ippSeconds = self.dataOut.ippSeconds*(self.dataOut.nFFTPoints / numpy.shape(data_cspc)[1]) | |
| 438 | self.dataOut.nFFTPoints = numpy.shape(data_cspc)[1] |
|
437 | self.dataOut.nFFTPoints = numpy.shape(data_cspc)[1] | |
| 439 | self.dataOut.profilesPerBlock = numpy.shape(data_cspc)[1] |
|
438 | self.dataOut.profilesPerBlock = numpy.shape(data_cspc)[1] | |
| 440 |
|
439 | |||
| 441 | #self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex+1] |
|
440 | #self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex+1] | |
| 442 |
|
441 | |||
| 443 | return 1 |
|
442 | return 1 | |
| 444 |
|
443 | |||
| 445 |
|
444 | |||
| 446 |
|
445 | |||
| 447 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
446 | def selectHeightsByIndex(self, minIndex, maxIndex): | |
| 448 | """ |
|
447 | """ | |
| 449 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
448 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango | |
| 450 | minIndex <= index <= maxIndex |
|
449 | minIndex <= index <= maxIndex | |
| 451 |
|
450 | |||
| 452 | Input: |
|
451 | Input: | |
| 453 | minIndex : valor de indice minimo de altura a considerar |
|
452 | minIndex : valor de indice minimo de altura a considerar | |
| 454 | maxIndex : valor de indice maximo de altura a considerar |
|
453 | maxIndex : valor de indice maximo de altura a considerar | |
| 455 |
|
454 | |||
| 456 | Affected: |
|
455 | Affected: | |
| 457 | self.dataOut.data_spc |
|
456 | self.dataOut.data_spc | |
| 458 | self.dataOut.data_cspc |
|
457 | self.dataOut.data_cspc | |
| 459 | self.dataOut.data_dc |
|
458 | self.dataOut.data_dc | |
| 460 | self.dataOut.heightList |
|
459 | self.dataOut.heightList | |
| 461 |
|
460 | |||
| 462 | Return: |
|
461 | Return: | |
| 463 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
462 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 | |
| 464 | """ |
|
463 | """ | |
| 465 |
|
464 | |||
| 466 | if (minIndex < 0) or (minIndex > maxIndex): |
|
465 | if (minIndex < 0) or (minIndex > maxIndex): | |
| 467 | raise ValueError, "Error selecting heights: Index range (%d,%d) is not valid" % (minIndex, maxIndex) |
|
466 | raise ValueError, "Error selecting heights: Index range (%d,%d) is not valid" % (minIndex, maxIndex) | |
| 468 |
|
467 | |||
| 469 | if (maxIndex >= self.dataOut.nHeights): |
|
468 | if (maxIndex >= self.dataOut.nHeights): | |
| 470 | maxIndex = self.dataOut.nHeights-1 |
|
469 | maxIndex = self.dataOut.nHeights-1 | |
| 471 |
|
470 | |||
| 472 | #Spectra |
|
471 | #Spectra | |
| 473 | data_spc = self.dataOut.data_spc[:,:,minIndex:maxIndex+1] |
|
472 | data_spc = self.dataOut.data_spc[:,:,minIndex:maxIndex+1] | |
| 474 |
|
473 | |||
| 475 | data_cspc = None |
|
474 | data_cspc = None | |
| 476 | if self.dataOut.data_cspc is not None: |
|
475 | if self.dataOut.data_cspc is not None: | |
| 477 | data_cspc = self.dataOut.data_cspc[:,:,minIndex:maxIndex+1] |
|
476 | data_cspc = self.dataOut.data_cspc[:,:,minIndex:maxIndex+1] | |
| 478 |
|
477 | |||
| 479 | data_dc = None |
|
478 | data_dc = None | |
| 480 | if self.dataOut.data_dc is not None: |
|
479 | if self.dataOut.data_dc is not None: | |
| 481 | data_dc = self.dataOut.data_dc[:,minIndex:maxIndex+1] |
|
480 | data_dc = self.dataOut.data_dc[:,minIndex:maxIndex+1] | |
| 482 |
|
481 | |||
| 483 | self.dataOut.data_spc = data_spc |
|
482 | self.dataOut.data_spc = data_spc | |
| 484 | self.dataOut.data_cspc = data_cspc |
|
483 | self.dataOut.data_cspc = data_cspc | |
| 485 | self.dataOut.data_dc = data_dc |
|
484 | self.dataOut.data_dc = data_dc | |
| 486 |
|
485 | |||
| 487 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex+1] |
|
486 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex+1] | |
| 488 |
|
487 | |||
| 489 | return 1 |
|
488 | return 1 | |
| 490 |
|
489 | |||
| 491 |
|
490 | |||
| 492 | def removeDC(self, mode = 2): |
|
491 | def removeDC(self, mode = 2): | |
| 493 | jspectra = self.dataOut.data_spc |
|
492 | jspectra = self.dataOut.data_spc | |
| 494 | jcspectra = self.dataOut.data_cspc |
|
493 | jcspectra = self.dataOut.data_cspc | |
| 495 |
|
494 | |||
| 496 |
|
495 | |||
| 497 | num_chan = jspectra.shape[0] |
|
496 | num_chan = jspectra.shape[0] | |
| 498 | num_hei = jspectra.shape[2] |
|
497 | num_hei = jspectra.shape[2] | |
| 499 |
|
498 | |||
| 500 | if jcspectra is not None: |
|
499 | if jcspectra is not None: | |
| 501 | jcspectraExist = True |
|
500 | jcspectraExist = True | |
| 502 | num_pairs = jcspectra.shape[0] |
|
501 | num_pairs = jcspectra.shape[0] | |
| 503 | else: jcspectraExist = False |
|
502 | else: jcspectraExist = False | |
| 504 |
|
503 | |||
| 505 | freq_dc = jspectra.shape[1]/2 |
|
504 | freq_dc = jspectra.shape[1]/2 | |
| 506 | ind_vel = numpy.array([-2,-1,1,2]) + freq_dc |
|
505 | ind_vel = numpy.array([-2,-1,1,2]) + freq_dc | |
| 507 |
|
506 | |||
| 508 | if ind_vel[0]<0: |
|
507 | if ind_vel[0]<0: | |
| 509 | ind_vel[range(0,1)] = ind_vel[range(0,1)] + self.num_prof |
|
508 | ind_vel[range(0,1)] = ind_vel[range(0,1)] + self.num_prof | |
| 510 |
|
509 | |||
| 511 | if mode == 1: |
|
510 | if mode == 1: | |
| 512 | jspectra[:,freq_dc,:] = (jspectra[:,ind_vel[1],:] + jspectra[:,ind_vel[2],:])/2 #CORRECCION |
|
511 | jspectra[:,freq_dc,:] = (jspectra[:,ind_vel[1],:] + jspectra[:,ind_vel[2],:])/2 #CORRECCION | |
| 513 |
|
512 | |||
| 514 | if jcspectraExist: |
|
513 | if jcspectraExist: | |
| 515 | jcspectra[:,freq_dc,:] = (jcspectra[:,ind_vel[1],:] + jcspectra[:,ind_vel[2],:])/2 |
|
514 | jcspectra[:,freq_dc,:] = (jcspectra[:,ind_vel[1],:] + jcspectra[:,ind_vel[2],:])/2 | |
| 516 |
|
515 | |||
| 517 | if mode == 2: |
|
516 | if mode == 2: | |
| 518 |
|
517 | |||
| 519 | vel = numpy.array([-2,-1,1,2]) |
|
518 | vel = numpy.array([-2,-1,1,2]) | |
| 520 | xx = numpy.zeros([4,4]) |
|
519 | xx = numpy.zeros([4,4]) | |
| 521 |
|
520 | |||
| 522 | for fil in range(4): |
|
521 | for fil in range(4): | |
| 523 | xx[fil,:] = vel[fil]**numpy.asarray(range(4)) |
|
522 | xx[fil,:] = vel[fil]**numpy.asarray(range(4)) | |
| 524 |
|
523 | |||
| 525 | xx_inv = numpy.linalg.inv(xx) |
|
524 | xx_inv = numpy.linalg.inv(xx) | |
| 526 | xx_aux = xx_inv[0,:] |
|
525 | xx_aux = xx_inv[0,:] | |
| 527 |
|
526 | |||
| 528 | for ich in range(num_chan): |
|
527 | for ich in range(num_chan): | |
| 529 | yy = jspectra[ich,ind_vel,:] |
|
528 | yy = jspectra[ich,ind_vel,:] | |
| 530 | jspectra[ich,freq_dc,:] = numpy.dot(xx_aux,yy) |
|
529 | jspectra[ich,freq_dc,:] = numpy.dot(xx_aux,yy) | |
| 531 |
|
530 | |||
| 532 | junkid = jspectra[ich,freq_dc,:]<=0 |
|
531 | junkid = jspectra[ich,freq_dc,:]<=0 | |
| 533 | cjunkid = sum(junkid) |
|
532 | cjunkid = sum(junkid) | |
| 534 |
|
533 | |||
| 535 | if cjunkid.any(): |
|
534 | if cjunkid.any(): | |
| 536 | jspectra[ich,freq_dc,junkid.nonzero()] = (jspectra[ich,ind_vel[1],junkid] + jspectra[ich,ind_vel[2],junkid])/2 |
|
535 | jspectra[ich,freq_dc,junkid.nonzero()] = (jspectra[ich,ind_vel[1],junkid] + jspectra[ich,ind_vel[2],junkid])/2 | |
| 537 |
|
536 | |||
| 538 | if jcspectraExist: |
|
537 | if jcspectraExist: | |
| 539 | for ip in range(num_pairs): |
|
538 | for ip in range(num_pairs): | |
| 540 | yy = jcspectra[ip,ind_vel,:] |
|
539 | yy = jcspectra[ip,ind_vel,:] | |
| 541 | jcspectra[ip,freq_dc,:] = numpy.dot(xx_aux,yy) |
|
540 | jcspectra[ip,freq_dc,:] = numpy.dot(xx_aux,yy) | |
| 542 |
|
541 | |||
| 543 |
|
542 | |||
| 544 | self.dataOut.data_spc = jspectra |
|
543 | self.dataOut.data_spc = jspectra | |
| 545 | self.dataOut.data_cspc = jcspectra |
|
544 | self.dataOut.data_cspc = jcspectra | |
| 546 |
|
545 | |||
| 547 | return 1 |
|
546 | return 1 | |
| 548 |
|
547 | |||
| 549 | def removeInterference2(self): |
|
548 | def removeInterference2(self): | |
| 550 |
|
549 | |||
| 551 | cspc = self.dataOut.data_cspc |
|
550 | cspc = self.dataOut.data_cspc | |
| 552 | spc = self.dataOut.data_spc |
|
551 | spc = self.dataOut.data_spc | |
| 553 | print numpy.shape(spc) |
|
552 | print numpy.shape(spc) | |
| 554 | Heights = numpy.arange(cspc.shape[2]) |
|
553 | Heights = numpy.arange(cspc.shape[2]) | |
| 555 | realCspc = numpy.abs(cspc) |
|
554 | realCspc = numpy.abs(cspc) | |
| 556 |
|
555 | |||
| 557 | for i in range(cspc.shape[0]): |
|
556 | for i in range(cspc.shape[0]): | |
| 558 | LinePower= numpy.sum(realCspc[i], axis=0) |
|
557 | LinePower= numpy.sum(realCspc[i], axis=0) | |
| 559 | Threshold = numpy.amax(LinePower)-numpy.sort(LinePower)[len(Heights)-int(len(Heights)*0.1)] |
|
558 | Threshold = numpy.amax(LinePower)-numpy.sort(LinePower)[len(Heights)-int(len(Heights)*0.1)] | |
| 560 | SelectedHeights = Heights[ numpy.where( LinePower < Threshold ) ] |
|
559 | SelectedHeights = Heights[ numpy.where( LinePower < Threshold ) ] | |
| 561 | #print numpy.shape(realCspc) |
|
560 | #print numpy.shape(realCspc) | |
| 562 | #print '',SelectedHeights, '', numpy.shape(realCspc[i,:,SelectedHeights]) |
|
561 | #print '',SelectedHeights, '', numpy.shape(realCspc[i,:,SelectedHeights]) | |
| 563 | InterferenceSum = numpy.sum( realCspc[i,:,SelectedHeights], axis=0 ) |
|
562 | InterferenceSum = numpy.sum( realCspc[i,:,SelectedHeights], axis=0 ) | |
| 564 | print SelectedHeights |
|
563 | print SelectedHeights | |
| 565 | InterferenceThresholdMin = numpy.sort(InterferenceSum)[int(len(InterferenceSum)*0.98)] |
|
564 | InterferenceThresholdMin = numpy.sort(InterferenceSum)[int(len(InterferenceSum)*0.98)] | |
| 566 | InterferenceThresholdMax = numpy.sort(InterferenceSum)[int(len(InterferenceSum)*0.99)] |
|
565 | InterferenceThresholdMax = numpy.sort(InterferenceSum)[int(len(InterferenceSum)*0.99)] | |
| 567 |
|
566 | |||
| 568 |
|
567 | |||
| 569 | InterferenceRange = numpy.where( ([InterferenceSum > InterferenceThresholdMin]))# , InterferenceSum < InterferenceThresholdMax]) ) |
|
568 | InterferenceRange = numpy.where( ([InterferenceSum > InterferenceThresholdMin]))# , InterferenceSum < InterferenceThresholdMax]) ) | |
| 570 | #InterferenceRange = numpy.where( ([InterferenceRange < InterferenceThresholdMax])) |
|
569 | #InterferenceRange = numpy.where( ([InterferenceRange < InterferenceThresholdMax])) | |
| 571 | if len(InterferenceRange)<int(cspc.shape[1]*0.3): |
|
570 | if len(InterferenceRange)<int(cspc.shape[1]*0.3): | |
| 572 | cspc[i,InterferenceRange,:] = numpy.NaN |
|
571 | cspc[i,InterferenceRange,:] = numpy.NaN | |
| 573 |
|
572 | |||
| 574 | print '########################################################################################' |
|
573 | print '########################################################################################' | |
| 575 | print 'Len interference sum',len(InterferenceSum) |
|
574 | print 'Len interference sum',len(InterferenceSum) | |
| 576 | print 'InterferenceThresholdMin', InterferenceThresholdMin, 'InterferenceThresholdMax', InterferenceThresholdMax |
|
575 | print 'InterferenceThresholdMin', InterferenceThresholdMin, 'InterferenceThresholdMax', InterferenceThresholdMax | |
| 577 | print 'InterferenceRange',InterferenceRange |
|
576 | print 'InterferenceRange',InterferenceRange | |
| 578 | print '########################################################################################' |
|
577 | print '########################################################################################' | |
| 579 |
|
578 | |||
| 580 | ''' Ploteo ''' |
|
579 | ''' Ploteo ''' | |
| 581 |
|
580 | |||
| 582 | #for i in range(3): |
|
581 | #for i in range(3): | |
| 583 | #print 'FASE', numpy.shape(phase), y[25] |
|
582 | #print 'FASE', numpy.shape(phase), y[25] | |
| 584 | #print numpy.shape(coherence) |
|
583 | #print numpy.shape(coherence) | |
| 585 | #fig = plt.figure(10+ int(numpy.random.rand()*100)) |
|
584 | #fig = plt.figure(10+ int(numpy.random.rand()*100)) | |
| 586 | #plt.plot( x[0:256],coherence[:,25] ) |
|
585 | #plt.plot( x[0:256],coherence[:,25] ) | |
| 587 | #cohAv = numpy.average(coherence[i],1) |
|
586 | #cohAv = numpy.average(coherence[i],1) | |
| 588 | #Pendiente = FrecRange * PhaseSlope[i] |
|
587 | #Pendiente = FrecRange * PhaseSlope[i] | |
| 589 | #plt.plot( InterferenceSum) |
|
588 | #plt.plot( InterferenceSum) | |
| 590 | #plt.plot( numpy.sort(InterferenceSum)) |
|
589 | #plt.plot( numpy.sort(InterferenceSum)) | |
| 591 | #plt.plot( LinePower ) |
|
590 | #plt.plot( LinePower ) | |
| 592 | #plt.plot( xFrec,phase[i]) |
|
591 | #plt.plot( xFrec,phase[i]) | |
| 593 |
|
592 | |||
| 594 | #CSPCmean = numpy.mean(numpy.abs(CSPCSamples),0) |
|
593 | #CSPCmean = numpy.mean(numpy.abs(CSPCSamples),0) | |
| 595 | #plt.plot(xFrec, FitGauss01) |
|
594 | #plt.plot(xFrec, FitGauss01) | |
| 596 | #plt.plot(xFrec, CSPCmean) |
|
595 | #plt.plot(xFrec, CSPCmean) | |
| 597 | #plt.plot(xFrec, numpy.abs(CSPCSamples[0])) |
|
596 | #plt.plot(xFrec, numpy.abs(CSPCSamples[0])) | |
| 598 | #plt.plot(xFrec, FitGauss) |
|
597 | #plt.plot(xFrec, FitGauss) | |
| 599 | #plt.plot(xFrec, yMean) |
|
598 | #plt.plot(xFrec, yMean) | |
| 600 | #plt.plot(xFrec, numpy.abs(coherence[0])) |
|
599 | #plt.plot(xFrec, numpy.abs(coherence[0])) | |
| 601 |
|
600 | |||
| 602 | #plt.axis([-12, 12, 15, 50]) |
|
601 | #plt.axis([-12, 12, 15, 50]) | |
| 603 | #plt.title("%s" %( '%s %s, Channel %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S") , i))) |
|
602 | #plt.title("%s" %( '%s %s, Channel %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S") , i))) | |
| 604 |
|
603 | |||
| 605 |
|
604 | |||
| 606 | #fig.savefig('/home/erick/Documents/Pics/nom{}.png'.format(int(numpy.random.rand()*100))) |
|
605 | #fig.savefig('/home/erick/Documents/Pics/nom{}.png'.format(int(numpy.random.rand()*100))) | |
| 607 |
|
606 | |||
| 608 | #plt.show() |
|
607 | #plt.show() | |
| 609 | #self.indice=self.indice+1 |
|
608 | #self.indice=self.indice+1 | |
| 610 | #raise |
|
609 | #raise | |
| 611 |
|
610 | |||
| 612 |
|
611 | |||
| 613 | self.dataOut.data_cspc = cspc |
|
612 | self.dataOut.data_cspc = cspc | |
| 614 |
|
613 | |||
| 615 | # for i in range(spc.shape[0]): |
|
614 | # for i in range(spc.shape[0]): | |
| 616 | # LinePower= numpy.sum(spc[i], axis=0) |
|
615 | # LinePower= numpy.sum(spc[i], axis=0) | |
| 617 | # Threshold = numpy.amax(LinePower)-numpy.sort(LinePower)[len(Heights)-int(len(Heights)*0.1)] |
|
616 | # Threshold = numpy.amax(LinePower)-numpy.sort(LinePower)[len(Heights)-int(len(Heights)*0.1)] | |
| 618 | # SelectedHeights = Heights[ numpy.where( LinePower < Threshold ) ] |
|
617 | # SelectedHeights = Heights[ numpy.where( LinePower < Threshold ) ] | |
| 619 | # #print numpy.shape(realCspc) |
|
618 | # #print numpy.shape(realCspc) | |
| 620 | # #print '',SelectedHeights, '', numpy.shape(realCspc[i,:,SelectedHeights]) |
|
619 | # #print '',SelectedHeights, '', numpy.shape(realCspc[i,:,SelectedHeights]) | |
| 621 | # InterferenceSum = numpy.sum( spc[i,:,SelectedHeights], axis=0 ) |
|
620 | # InterferenceSum = numpy.sum( spc[i,:,SelectedHeights], axis=0 ) | |
| 622 | # InterferenceThreshold = numpy.sort(InterferenceSum)[int(len(InterferenceSum)*0.98)] |
|
621 | # InterferenceThreshold = numpy.sort(InterferenceSum)[int(len(InterferenceSum)*0.98)] | |
| 623 | # InterferenceRange = numpy.where( InterferenceSum > InterferenceThreshold ) |
|
622 | # InterferenceRange = numpy.where( InterferenceSum > InterferenceThreshold ) | |
| 624 | # if len(InterferenceRange)<int(spc.shape[1]*0.03): |
|
623 | # if len(InterferenceRange)<int(spc.shape[1]*0.03): | |
| 625 | # spc[i,InterferenceRange,:] = numpy.NaN |
|
624 | # spc[i,InterferenceRange,:] = numpy.NaN | |
| 626 |
|
625 | |||
| 627 | #self.dataOut.data_spc = spc |
|
626 | #self.dataOut.data_spc = spc | |
| 628 |
|
627 | |||
| 629 | def removeInterference(self, interf = 2,hei_interf = None, nhei_interf = None, offhei_interf = None): |
|
628 | def removeInterference(self, interf = 2,hei_interf = None, nhei_interf = None, offhei_interf = None): | |
| 630 |
|
629 | |||
| 631 | jspectra = self.dataOut.data_spc |
|
630 | jspectra = self.dataOut.data_spc | |
| 632 | jcspectra = self.dataOut.data_cspc |
|
631 | jcspectra = self.dataOut.data_cspc | |
| 633 | jnoise = self.dataOut.getNoise() |
|
632 | jnoise = self.dataOut.getNoise() | |
| 634 | num_incoh = self.dataOut.nIncohInt |
|
633 | num_incoh = self.dataOut.nIncohInt | |
| 635 |
|
634 | |||
| 636 | num_channel = jspectra.shape[0] |
|
635 | num_channel = jspectra.shape[0] | |
| 637 | num_prof = jspectra.shape[1] |
|
636 | num_prof = jspectra.shape[1] | |
| 638 | num_hei = jspectra.shape[2] |
|
637 | num_hei = jspectra.shape[2] | |
| 639 |
|
638 | |||
| 640 | #hei_interf |
|
639 | #hei_interf | |
| 641 | if hei_interf is None: |
|
640 | if hei_interf is None: | |
| 642 | count_hei = num_hei/2 #Como es entero no importa |
|
641 | count_hei = num_hei/2 #Como es entero no importa | |
| 643 | hei_interf = numpy.asmatrix(range(count_hei)) + num_hei - count_hei |
|
642 | hei_interf = numpy.asmatrix(range(count_hei)) + num_hei - count_hei | |
| 644 | hei_interf = numpy.asarray(hei_interf)[0] |
|
643 | hei_interf = numpy.asarray(hei_interf)[0] | |
| 645 | #nhei_interf |
|
644 | #nhei_interf | |
| 646 | if (nhei_interf == None): |
|
645 | if (nhei_interf == None): | |
| 647 | nhei_interf = 5 |
|
646 | nhei_interf = 5 | |
| 648 | if (nhei_interf < 1): |
|
647 | if (nhei_interf < 1): | |
| 649 | nhei_interf = 1 |
|
648 | nhei_interf = 1 | |
| 650 | if (nhei_interf > count_hei): |
|
649 | if (nhei_interf > count_hei): | |
| 651 | nhei_interf = count_hei |
|
650 | nhei_interf = count_hei | |
| 652 | if (offhei_interf == None): |
|
651 | if (offhei_interf == None): | |
| 653 | offhei_interf = 0 |
|
652 | offhei_interf = 0 | |
| 654 |
|
653 | |||
| 655 | ind_hei = range(num_hei) |
|
654 | ind_hei = range(num_hei) | |
| 656 | # mask_prof = numpy.asarray(range(num_prof - 2)) + 1 |
|
655 | # mask_prof = numpy.asarray(range(num_prof - 2)) + 1 | |
| 657 | # mask_prof[range(num_prof/2 - 1,len(mask_prof))] += 1 |
|
656 | # mask_prof[range(num_prof/2 - 1,len(mask_prof))] += 1 | |
| 658 | mask_prof = numpy.asarray(range(num_prof)) |
|
657 | mask_prof = numpy.asarray(range(num_prof)) | |
| 659 | num_mask_prof = mask_prof.size |
|
658 | num_mask_prof = mask_prof.size | |
| 660 | comp_mask_prof = [0, num_prof/2] |
|
659 | comp_mask_prof = [0, num_prof/2] | |
| 661 |
|
660 | |||
| 662 |
|
661 | |||
| 663 | #noise_exist: Determina si la variable jnoise ha sido definida y contiene la informacion del ruido de cada canal |
|
662 | #noise_exist: Determina si la variable jnoise ha sido definida y contiene la informacion del ruido de cada canal | |
| 664 | if (jnoise.size < num_channel or numpy.isnan(jnoise).any()): |
|
663 | if (jnoise.size < num_channel or numpy.isnan(jnoise).any()): | |
| 665 | jnoise = numpy.nan |
|
664 | jnoise = numpy.nan | |
| 666 | noise_exist = jnoise[0] < numpy.Inf |
|
665 | noise_exist = jnoise[0] < numpy.Inf | |
| 667 |
|
666 | |||
| 668 | #Subrutina de Remocion de la Interferencia |
|
667 | #Subrutina de Remocion de la Interferencia | |
| 669 | for ich in range(num_channel): |
|
668 | for ich in range(num_channel): | |
| 670 | #Se ordena los espectros segun su potencia (menor a mayor) |
|
669 | #Se ordena los espectros segun su potencia (menor a mayor) | |
| 671 | power = jspectra[ich,mask_prof,:] |
|
670 | power = jspectra[ich,mask_prof,:] | |
| 672 | power = power[:,hei_interf] |
|
671 | power = power[:,hei_interf] | |
| 673 | power = power.sum(axis = 0) |
|
672 | power = power.sum(axis = 0) | |
| 674 | psort = power.ravel().argsort() |
|
673 | psort = power.ravel().argsort() | |
| 675 |
|
674 | |||
| 676 | #Se estima la interferencia promedio en los Espectros de Potencia empleando |
|
675 | #Se estima la interferencia promedio en los Espectros de Potencia empleando | |
| 677 | junkspc_interf = jspectra[ich,:,hei_interf[psort[range(offhei_interf, nhei_interf + offhei_interf)]]] |
|
676 | junkspc_interf = jspectra[ich,:,hei_interf[psort[range(offhei_interf, nhei_interf + offhei_interf)]]] | |
| 678 |
|
677 | |||
| 679 | if noise_exist: |
|
678 | if noise_exist: | |
| 680 | # tmp_noise = jnoise[ich] / num_prof |
|
679 | # tmp_noise = jnoise[ich] / num_prof | |
| 681 | tmp_noise = jnoise[ich] |
|
680 | tmp_noise = jnoise[ich] | |
| 682 | junkspc_interf = junkspc_interf - tmp_noise |
|
681 | junkspc_interf = junkspc_interf - tmp_noise | |
| 683 | #junkspc_interf[:,comp_mask_prof] = 0 |
|
682 | #junkspc_interf[:,comp_mask_prof] = 0 | |
| 684 |
|
683 | |||
| 685 | jspc_interf = junkspc_interf.sum(axis = 0) / nhei_interf |
|
684 | jspc_interf = junkspc_interf.sum(axis = 0) / nhei_interf | |
| 686 | jspc_interf = jspc_interf.transpose() |
|
685 | jspc_interf = jspc_interf.transpose() | |
| 687 | #Calculando el espectro de interferencia promedio |
|
686 | #Calculando el espectro de interferencia promedio | |
| 688 | noiseid = numpy.where(jspc_interf <= tmp_noise/ numpy.sqrt(num_incoh)) |
|
687 | noiseid = numpy.where(jspc_interf <= tmp_noise/ numpy.sqrt(num_incoh)) | |
| 689 | noiseid = noiseid[0] |
|
688 | noiseid = noiseid[0] | |
| 690 | cnoiseid = noiseid.size |
|
689 | cnoiseid = noiseid.size | |
| 691 | interfid = numpy.where(jspc_interf > tmp_noise/ numpy.sqrt(num_incoh)) |
|
690 | interfid = numpy.where(jspc_interf > tmp_noise/ numpy.sqrt(num_incoh)) | |
| 692 | interfid = interfid[0] |
|
691 | interfid = interfid[0] | |
| 693 | cinterfid = interfid.size |
|
692 | cinterfid = interfid.size | |
| 694 |
|
693 | |||
| 695 | if (cnoiseid > 0): jspc_interf[noiseid] = 0 |
|
694 | if (cnoiseid > 0): jspc_interf[noiseid] = 0 | |
| 696 |
|
695 | |||
| 697 | #Expandiendo los perfiles a limpiar |
|
696 | #Expandiendo los perfiles a limpiar | |
| 698 | if (cinterfid > 0): |
|
697 | if (cinterfid > 0): | |
| 699 | new_interfid = (numpy.r_[interfid - 1, interfid, interfid + 1] + num_prof)%num_prof |
|
698 | new_interfid = (numpy.r_[interfid - 1, interfid, interfid + 1] + num_prof)%num_prof | |
| 700 | new_interfid = numpy.asarray(new_interfid) |
|
699 | new_interfid = numpy.asarray(new_interfid) | |
| 701 | new_interfid = {x for x in new_interfid} |
|
700 | new_interfid = {x for x in new_interfid} | |
| 702 | new_interfid = numpy.array(list(new_interfid)) |
|
701 | new_interfid = numpy.array(list(new_interfid)) | |
| 703 | new_cinterfid = new_interfid.size |
|
702 | new_cinterfid = new_interfid.size | |
| 704 | else: new_cinterfid = 0 |
|
703 | else: new_cinterfid = 0 | |
| 705 |
|
704 | |||
| 706 | for ip in range(new_cinterfid): |
|
705 | for ip in range(new_cinterfid): | |
| 707 | ind = junkspc_interf[:,new_interfid[ip]].ravel().argsort() |
|
706 | ind = junkspc_interf[:,new_interfid[ip]].ravel().argsort() | |
| 708 | jspc_interf[new_interfid[ip]] = junkspc_interf[ind[nhei_interf/2],new_interfid[ip]] |
|
707 | jspc_interf[new_interfid[ip]] = junkspc_interf[ind[nhei_interf/2],new_interfid[ip]] | |
| 709 |
|
708 | |||
| 710 |
|
709 | |||
| 711 | jspectra[ich,:,ind_hei] = jspectra[ich,:,ind_hei] - jspc_interf #Corregir indices |
|
710 | jspectra[ich,:,ind_hei] = jspectra[ich,:,ind_hei] - jspc_interf #Corregir indices | |
| 712 |
|
711 | |||
| 713 | #Removiendo la interferencia del punto de mayor interferencia |
|
712 | #Removiendo la interferencia del punto de mayor interferencia | |
| 714 | ListAux = jspc_interf[mask_prof].tolist() |
|
713 | ListAux = jspc_interf[mask_prof].tolist() | |
| 715 | maxid = ListAux.index(max(ListAux)) |
|
714 | maxid = ListAux.index(max(ListAux)) | |
| 716 |
|
715 | |||
| 717 |
|
716 | |||
| 718 | if cinterfid > 0: |
|
717 | if cinterfid > 0: | |
| 719 | for ip in range(cinterfid*(interf == 2) - 1): |
|
718 | for ip in range(cinterfid*(interf == 2) - 1): | |
| 720 | ind = (jspectra[ich,interfid[ip],:] < tmp_noise*(1 + 1/numpy.sqrt(num_incoh))).nonzero() |
|
719 | ind = (jspectra[ich,interfid[ip],:] < tmp_noise*(1 + 1/numpy.sqrt(num_incoh))).nonzero() | |
| 721 | cind = len(ind) |
|
720 | cind = len(ind) | |
| 722 |
|
721 | |||
| 723 | if (cind > 0): |
|
722 | if (cind > 0): | |
| 724 | jspectra[ich,interfid[ip],ind] = tmp_noise*(1 + (numpy.random.uniform(cind) - 0.5)/numpy.sqrt(num_incoh)) |
|
723 | jspectra[ich,interfid[ip],ind] = tmp_noise*(1 + (numpy.random.uniform(cind) - 0.5)/numpy.sqrt(num_incoh)) | |
| 725 |
|
724 | |||
| 726 | ind = numpy.array([-2,-1,1,2]) |
|
725 | ind = numpy.array([-2,-1,1,2]) | |
| 727 | xx = numpy.zeros([4,4]) |
|
726 | xx = numpy.zeros([4,4]) | |
| 728 |
|
727 | |||
| 729 | for id1 in range(4): |
|
728 | for id1 in range(4): | |
| 730 | xx[:,id1] = ind[id1]**numpy.asarray(range(4)) |
|
729 | xx[:,id1] = ind[id1]**numpy.asarray(range(4)) | |
| 731 |
|
730 | |||
| 732 | xx_inv = numpy.linalg.inv(xx) |
|
731 | xx_inv = numpy.linalg.inv(xx) | |
| 733 | xx = xx_inv[:,0] |
|
732 | xx = xx_inv[:,0] | |
| 734 | ind = (ind + maxid + num_mask_prof)%num_mask_prof |
|
733 | ind = (ind + maxid + num_mask_prof)%num_mask_prof | |
| 735 | yy = jspectra[ich,mask_prof[ind],:] |
|
734 | yy = jspectra[ich,mask_prof[ind],:] | |
| 736 | jspectra[ich,mask_prof[maxid],:] = numpy.dot(yy.transpose(),xx) |
|
735 | jspectra[ich,mask_prof[maxid],:] = numpy.dot(yy.transpose(),xx) | |
| 737 |
|
736 | |||
| 738 |
|
737 | |||
| 739 | indAux = (jspectra[ich,:,:] < tmp_noise*(1-1/numpy.sqrt(num_incoh))).nonzero() |
|
738 | indAux = (jspectra[ich,:,:] < tmp_noise*(1-1/numpy.sqrt(num_incoh))).nonzero() | |
| 740 | jspectra[ich,indAux[0],indAux[1]] = tmp_noise * (1 - 1/numpy.sqrt(num_incoh)) |
|
739 | jspectra[ich,indAux[0],indAux[1]] = tmp_noise * (1 - 1/numpy.sqrt(num_incoh)) | |
| 741 |
|
740 | |||
| 742 | #Remocion de Interferencia en el Cross Spectra |
|
741 | #Remocion de Interferencia en el Cross Spectra | |
| 743 | if jcspectra is None: return jspectra, jcspectra |
|
742 | if jcspectra is None: return jspectra, jcspectra | |
| 744 | num_pairs = jcspectra.size/(num_prof*num_hei) |
|
743 | num_pairs = jcspectra.size/(num_prof*num_hei) | |
| 745 | jcspectra = jcspectra.reshape(num_pairs, num_prof, num_hei) |
|
744 | jcspectra = jcspectra.reshape(num_pairs, num_prof, num_hei) | |
| 746 |
|
745 | |||
| 747 | for ip in range(num_pairs): |
|
746 | for ip in range(num_pairs): | |
| 748 |
|
747 | |||
| 749 | #------------------------------------------- |
|
748 | #------------------------------------------- | |
| 750 |
|
749 | |||
| 751 | cspower = numpy.abs(jcspectra[ip,mask_prof,:]) |
|
750 | cspower = numpy.abs(jcspectra[ip,mask_prof,:]) | |
| 752 | cspower = cspower[:,hei_interf] |
|
751 | cspower = cspower[:,hei_interf] | |
| 753 | cspower = cspower.sum(axis = 0) |
|
752 | cspower = cspower.sum(axis = 0) | |
| 754 |
|
753 | |||
| 755 | cspsort = cspower.ravel().argsort() |
|
754 | cspsort = cspower.ravel().argsort() | |
| 756 | junkcspc_interf = jcspectra[ip,:,hei_interf[cspsort[range(offhei_interf, nhei_interf + offhei_interf)]]] |
|
755 | junkcspc_interf = jcspectra[ip,:,hei_interf[cspsort[range(offhei_interf, nhei_interf + offhei_interf)]]] | |
| 757 | junkcspc_interf = junkcspc_interf.transpose() |
|
756 | junkcspc_interf = junkcspc_interf.transpose() | |
| 758 | jcspc_interf = junkcspc_interf.sum(axis = 1)/nhei_interf |
|
757 | jcspc_interf = junkcspc_interf.sum(axis = 1)/nhei_interf | |
| 759 |
|
758 | |||
| 760 | ind = numpy.abs(jcspc_interf[mask_prof]).ravel().argsort() |
|
759 | ind = numpy.abs(jcspc_interf[mask_prof]).ravel().argsort() | |
| 761 |
|
760 | |||
| 762 | median_real = numpy.median(numpy.real(junkcspc_interf[mask_prof[ind[range(3*num_prof/4)]],:])) |
|
761 | median_real = numpy.median(numpy.real(junkcspc_interf[mask_prof[ind[range(3*num_prof/4)]],:])) | |
| 763 | median_imag = numpy.median(numpy.imag(junkcspc_interf[mask_prof[ind[range(3*num_prof/4)]],:])) |
|
762 | median_imag = numpy.median(numpy.imag(junkcspc_interf[mask_prof[ind[range(3*num_prof/4)]],:])) | |
| 764 | junkcspc_interf[comp_mask_prof,:] = numpy.complex(median_real, median_imag) |
|
763 | junkcspc_interf[comp_mask_prof,:] = numpy.complex(median_real, median_imag) | |
| 765 |
|
764 | |||
| 766 | for iprof in range(num_prof): |
|
765 | for iprof in range(num_prof): | |
| 767 | ind = numpy.abs(junkcspc_interf[iprof,:]).ravel().argsort() |
|
766 | ind = numpy.abs(junkcspc_interf[iprof,:]).ravel().argsort() | |
| 768 | jcspc_interf[iprof] = junkcspc_interf[iprof, ind[nhei_interf/2]] |
|
767 | jcspc_interf[iprof] = junkcspc_interf[iprof, ind[nhei_interf/2]] | |
| 769 |
|
768 | |||
| 770 | #Removiendo la Interferencia |
|
769 | #Removiendo la Interferencia | |
| 771 | jcspectra[ip,:,ind_hei] = jcspectra[ip,:,ind_hei] - jcspc_interf |
|
770 | jcspectra[ip,:,ind_hei] = jcspectra[ip,:,ind_hei] - jcspc_interf | |
| 772 |
|
771 | |||
| 773 | ListAux = numpy.abs(jcspc_interf[mask_prof]).tolist() |
|
772 | ListAux = numpy.abs(jcspc_interf[mask_prof]).tolist() | |
| 774 | maxid = ListAux.index(max(ListAux)) |
|
773 | maxid = ListAux.index(max(ListAux)) | |
| 775 |
|
774 | |||
| 776 | ind = numpy.array([-2,-1,1,2]) |
|
775 | ind = numpy.array([-2,-1,1,2]) | |
| 777 | xx = numpy.zeros([4,4]) |
|
776 | xx = numpy.zeros([4,4]) | |
| 778 |
|
777 | |||
| 779 | for id1 in range(4): |
|
778 | for id1 in range(4): | |
| 780 | xx[:,id1] = ind[id1]**numpy.asarray(range(4)) |
|
779 | xx[:,id1] = ind[id1]**numpy.asarray(range(4)) | |
| 781 |
|
780 | |||
| 782 | xx_inv = numpy.linalg.inv(xx) |
|
781 | xx_inv = numpy.linalg.inv(xx) | |
| 783 | xx = xx_inv[:,0] |
|
782 | xx = xx_inv[:,0] | |
| 784 |
|
783 | |||
| 785 | ind = (ind + maxid + num_mask_prof)%num_mask_prof |
|
784 | ind = (ind + maxid + num_mask_prof)%num_mask_prof | |
| 786 | yy = jcspectra[ip,mask_prof[ind],:] |
|
785 | yy = jcspectra[ip,mask_prof[ind],:] | |
| 787 | jcspectra[ip,mask_prof[maxid],:] = numpy.dot(yy.transpose(),xx) |
|
786 | jcspectra[ip,mask_prof[maxid],:] = numpy.dot(yy.transpose(),xx) | |
| 788 |
|
787 | |||
| 789 | #Guardar Resultados |
|
788 | #Guardar Resultados | |
| 790 | self.dataOut.data_spc = jspectra |
|
789 | self.dataOut.data_spc = jspectra | |
| 791 | self.dataOut.data_cspc = jcspectra |
|
790 | self.dataOut.data_cspc = jcspectra | |
| 792 |
|
791 | |||
| 793 | return 1 |
|
792 | return 1 | |
| 794 |
|
793 | |||
| 795 | def setRadarFrequency(self, frequency=None): |
|
794 | def setRadarFrequency(self, frequency=None): | |
| 796 |
|
795 | |||
| 797 | if frequency != None: |
|
796 | if frequency != None: | |
| 798 | self.dataOut.frequency = frequency |
|
797 | self.dataOut.frequency = frequency | |
| 799 |
|
798 | |||
| 800 | return 1 |
|
799 | return 1 | |
| 801 |
|
800 | |||
| 802 | def getNoise(self, minHei=None, maxHei=None, minVel=None, maxVel=None): |
|
801 | def getNoise(self, minHei=None, maxHei=None, minVel=None, maxVel=None): | |
| 803 | #validacion de rango |
|
802 | #validacion de rango | |
| 804 | if minHei == None: |
|
803 | if minHei == None: | |
| 805 | minHei = self.dataOut.heightList[0] |
|
804 | minHei = self.dataOut.heightList[0] | |
| 806 |
|
805 | |||
| 807 | if maxHei == None: |
|
806 | if maxHei == None: | |
| 808 | maxHei = self.dataOut.heightList[-1] |
|
807 | maxHei = self.dataOut.heightList[-1] | |
| 809 |
|
808 | |||
| 810 | if (minHei < self.dataOut.heightList[0]) or (minHei > maxHei): |
|
809 | if (minHei < self.dataOut.heightList[0]) or (minHei > maxHei): | |
| 811 | print 'minHei: %.2f is out of the heights range'%(minHei) |
|
810 | print 'minHei: %.2f is out of the heights range'%(minHei) | |
| 812 | print 'minHei is setting to %.2f'%(self.dataOut.heightList[0]) |
|
811 | print 'minHei is setting to %.2f'%(self.dataOut.heightList[0]) | |
| 813 | minHei = self.dataOut.heightList[0] |
|
812 | minHei = self.dataOut.heightList[0] | |
| 814 |
|
813 | |||
| 815 | if (maxHei > self.dataOut.heightList[-1]) or (maxHei < minHei): |
|
814 | if (maxHei > self.dataOut.heightList[-1]) or (maxHei < minHei): | |
| 816 | print 'maxHei: %.2f is out of the heights range'%(maxHei) |
|
815 | print 'maxHei: %.2f is out of the heights range'%(maxHei) | |
| 817 | print 'maxHei is setting to %.2f'%(self.dataOut.heightList[-1]) |
|
816 | print 'maxHei is setting to %.2f'%(self.dataOut.heightList[-1]) | |
| 818 | maxHei = self.dataOut.heightList[-1] |
|
817 | maxHei = self.dataOut.heightList[-1] | |
| 819 |
|
818 | |||
| 820 | # validacion de velocidades |
|
819 | # validacion de velocidades | |
| 821 | velrange = self.dataOut.getVelRange(1) |
|
820 | velrange = self.dataOut.getVelRange(1) | |
| 822 |
|
821 | |||
| 823 | if minVel == None: |
|
822 | if minVel == None: | |
| 824 | minVel = velrange[0] |
|
823 | minVel = velrange[0] | |
| 825 |
|
824 | |||
| 826 | if maxVel == None: |
|
825 | if maxVel == None: | |
| 827 | maxVel = velrange[-1] |
|
826 | maxVel = velrange[-1] | |
| 828 |
|
827 | |||
| 829 | if (minVel < velrange[0]) or (minVel > maxVel): |
|
828 | if (minVel < velrange[0]) or (minVel > maxVel): | |
| 830 | print 'minVel: %.2f is out of the velocity range'%(minVel) |
|
829 | print 'minVel: %.2f is out of the velocity range'%(minVel) | |
| 831 | print 'minVel is setting to %.2f'%(velrange[0]) |
|
830 | print 'minVel is setting to %.2f'%(velrange[0]) | |
| 832 | minVel = velrange[0] |
|
831 | minVel = velrange[0] | |
| 833 |
|
832 | |||
| 834 | if (maxVel > velrange[-1]) or (maxVel < minVel): |
|
833 | if (maxVel > velrange[-1]) or (maxVel < minVel): | |
| 835 | print 'maxVel: %.2f is out of the velocity range'%(maxVel) |
|
834 | print 'maxVel: %.2f is out of the velocity range'%(maxVel) | |
| 836 | print 'maxVel is setting to %.2f'%(velrange[-1]) |
|
835 | print 'maxVel is setting to %.2f'%(velrange[-1]) | |
| 837 | maxVel = velrange[-1] |
|
836 | maxVel = velrange[-1] | |
| 838 |
|
837 | |||
| 839 | # seleccion de indices para rango |
|
838 | # seleccion de indices para rango | |
| 840 | minIndex = 0 |
|
839 | minIndex = 0 | |
| 841 | maxIndex = 0 |
|
840 | maxIndex = 0 | |
| 842 | heights = self.dataOut.heightList |
|
841 | heights = self.dataOut.heightList | |
| 843 |
|
842 | |||
| 844 | inda = numpy.where(heights >= minHei) |
|
843 | inda = numpy.where(heights >= minHei) | |
| 845 | indb = numpy.where(heights <= maxHei) |
|
844 | indb = numpy.where(heights <= maxHei) | |
| 846 |
|
845 | |||
| 847 | try: |
|
846 | try: | |
| 848 | minIndex = inda[0][0] |
|
847 | minIndex = inda[0][0] | |
| 849 | except: |
|
848 | except: | |
| 850 | minIndex = 0 |
|
849 | minIndex = 0 | |
| 851 |
|
850 | |||
| 852 | try: |
|
851 | try: | |
| 853 | maxIndex = indb[0][-1] |
|
852 | maxIndex = indb[0][-1] | |
| 854 | except: |
|
853 | except: | |
| 855 | maxIndex = len(heights) |
|
854 | maxIndex = len(heights) | |
| 856 |
|
855 | |||
| 857 | if (minIndex < 0) or (minIndex > maxIndex): |
|
856 | if (minIndex < 0) or (minIndex > maxIndex): | |
| 858 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
857 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) | |
| 859 |
|
858 | |||
| 860 | if (maxIndex >= self.dataOut.nHeights): |
|
859 | if (maxIndex >= self.dataOut.nHeights): | |
| 861 | maxIndex = self.dataOut.nHeights-1 |
|
860 | maxIndex = self.dataOut.nHeights-1 | |
| 862 |
|
861 | |||
| 863 | # seleccion de indices para velocidades |
|
862 | # seleccion de indices para velocidades | |
| 864 | indminvel = numpy.where(velrange >= minVel) |
|
863 | indminvel = numpy.where(velrange >= minVel) | |
| 865 | indmaxvel = numpy.where(velrange <= maxVel) |
|
864 | indmaxvel = numpy.where(velrange <= maxVel) | |
| 866 | try: |
|
865 | try: | |
| 867 | minIndexVel = indminvel[0][0] |
|
866 | minIndexVel = indminvel[0][0] | |
| 868 | except: |
|
867 | except: | |
| 869 | minIndexVel = 0 |
|
868 | minIndexVel = 0 | |
| 870 |
|
869 | |||
| 871 | try: |
|
870 | try: | |
| 872 | maxIndexVel = indmaxvel[0][-1] |
|
871 | maxIndexVel = indmaxvel[0][-1] | |
| 873 | except: |
|
872 | except: | |
| 874 | maxIndexVel = len(velrange) |
|
873 | maxIndexVel = len(velrange) | |
| 875 |
|
874 | |||
| 876 | #seleccion del espectro |
|
875 | #seleccion del espectro | |
| 877 | data_spc = self.dataOut.data_spc[:,minIndexVel:maxIndexVel+1,minIndex:maxIndex+1] |
|
876 | data_spc = self.dataOut.data_spc[:,minIndexVel:maxIndexVel+1,minIndex:maxIndex+1] | |
| 878 | #estimacion de ruido |
|
877 | #estimacion de ruido | |
| 879 | noise = numpy.zeros(self.dataOut.nChannels) |
|
878 | noise = numpy.zeros(self.dataOut.nChannels) | |
| 880 |
|
879 | |||
| 881 | for channel in range(self.dataOut.nChannels): |
|
880 | for channel in range(self.dataOut.nChannels): | |
| 882 | daux = data_spc[channel,:,:] |
|
881 | daux = data_spc[channel,:,:] | |
| 883 | noise[channel] = hildebrand_sekhon(daux, self.dataOut.nIncohInt) |
|
882 | noise[channel] = hildebrand_sekhon(daux, self.dataOut.nIncohInt) | |
| 884 |
|
883 | |||
| 885 | self.dataOut.noise_estimation = noise.copy() |
|
884 | self.dataOut.noise_estimation = noise.copy() | |
| 886 |
|
885 | |||
| 887 | return 1 |
|
886 | return 1 | |
| 888 |
|
887 | |||
| 889 | class IncohInt(Operation): |
|
888 | class IncohInt(Operation): | |
| 890 |
|
889 | |||
| 891 |
|
890 | |||
| 892 | __profIndex = 0 |
|
891 | __profIndex = 0 | |
| 893 | __withOverapping = False |
|
892 | __withOverapping = False | |
| 894 |
|
893 | |||
| 895 | __byTime = False |
|
894 | __byTime = False | |
| 896 | __initime = None |
|
895 | __initime = None | |
| 897 | __lastdatatime = None |
|
896 | __lastdatatime = None | |
| 898 | __integrationtime = None |
|
897 | __integrationtime = None | |
| 899 |
|
898 | |||
| 900 | __buffer_spc = None |
|
899 | __buffer_spc = None | |
| 901 | __buffer_cspc = None |
|
900 | __buffer_cspc = None | |
| 902 | __buffer_dc = None |
|
901 | __buffer_dc = None | |
| 903 |
|
902 | |||
| 904 | __dataReady = False |
|
903 | __dataReady = False | |
| 905 |
|
904 | |||
| 906 | __timeInterval = None |
|
905 | __timeInterval = None | |
| 907 |
|
906 | |||
| 908 | n = None |
|
907 | n = None | |
| 909 |
|
908 | |||
| 910 |
|
909 | |||
| 911 |
|
910 | |||
| 912 | def __init__(self, **kwargs): |
|
911 | def __init__(self, **kwargs): | |
| 913 |
|
912 | |||
| 914 | Operation.__init__(self, **kwargs) |
|
913 | Operation.__init__(self, **kwargs) | |
| 915 | # self.isConfig = False |
|
914 | # self.isConfig = False | |
| 916 |
|
915 | |||
| 917 | def setup(self, n=None, timeInterval=None, overlapping=False): |
|
916 | def setup(self, n=None, timeInterval=None, overlapping=False): | |
| 918 | """ |
|
917 | """ | |
| 919 | Set the parameters of the integration class. |
|
918 | Set the parameters of the integration class. | |
| 920 |
|
919 | |||
| 921 | Inputs: |
|
920 | Inputs: | |
| 922 |
|
921 | |||
| 923 | n : Number of coherent integrations |
|
922 | n : Number of coherent integrations | |
| 924 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
923 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work | |
| 925 | overlapping : |
|
924 | overlapping : | |
| 926 |
|
925 | |||
| 927 | """ |
|
926 | """ | |
| 928 |
|
927 | |||
| 929 | self.__initime = None |
|
928 | self.__initime = None | |
| 930 | self.__lastdatatime = 0 |
|
929 | self.__lastdatatime = 0 | |
| 931 |
|
930 | |||
| 932 | self.__buffer_spc = 0 |
|
931 | self.__buffer_spc = 0 | |
| 933 | self.__buffer_cspc = 0 |
|
932 | self.__buffer_cspc = 0 | |
| 934 | self.__buffer_dc = 0 |
|
933 | self.__buffer_dc = 0 | |
| 935 |
|
934 | |||
| 936 | self.__profIndex = 0 |
|
935 | self.__profIndex = 0 | |
| 937 | self.__dataReady = False |
|
936 | self.__dataReady = False | |
| 938 | self.__byTime = False |
|
937 | self.__byTime = False | |
| 939 |
|
938 | |||
| 940 | if n is None and timeInterval is None: |
|
939 | if n is None and timeInterval is None: | |
| 941 | raise ValueError, "n or timeInterval should be specified ..." |
|
940 | raise ValueError, "n or timeInterval should be specified ..." | |
| 942 |
|
941 | |||
| 943 | if n is not None: |
|
942 | if n is not None: | |
| 944 | self.n = int(n) |
|
943 | self.n = int(n) | |
| 945 | else: |
|
944 | else: | |
| 946 | self.__integrationtime = int(timeInterval) #if (type(timeInterval)!=integer) -> change this line |
|
945 | self.__integrationtime = int(timeInterval) #if (type(timeInterval)!=integer) -> change this line | |
| 947 | self.n = None |
|
946 | self.n = None | |
| 948 | self.__byTime = True |
|
947 | self.__byTime = True | |
| 949 |
|
948 | |||
| 950 | def putData(self, data_spc, data_cspc, data_dc): |
|
949 | def putData(self, data_spc, data_cspc, data_dc): | |
| 951 |
|
950 | |||
| 952 | """ |
|
951 | """ | |
| 953 | Add a profile to the __buffer_spc and increase in one the __profileIndex |
|
952 | Add a profile to the __buffer_spc and increase in one the __profileIndex | |
| 954 |
|
953 | |||
| 955 | """ |
|
954 | """ | |
| 956 |
|
955 | |||
| 957 | self.__buffer_spc += data_spc |
|
956 | self.__buffer_spc += data_spc | |
| 958 |
|
957 | |||
| 959 | if data_cspc is None: |
|
958 | if data_cspc is None: | |
| 960 | self.__buffer_cspc = None |
|
959 | self.__buffer_cspc = None | |
| 961 | else: |
|
960 | else: | |
| 962 | self.__buffer_cspc += data_cspc |
|
961 | self.__buffer_cspc += data_cspc | |
| 963 |
|
962 | |||
| 964 | if data_dc is None: |
|
963 | if data_dc is None: | |
| 965 | self.__buffer_dc = None |
|
964 | self.__buffer_dc = None | |
| 966 | else: |
|
965 | else: | |
| 967 | self.__buffer_dc += data_dc |
|
966 | self.__buffer_dc += data_dc | |
| 968 |
|
967 | |||
| 969 | self.__profIndex += 1 |
|
968 | self.__profIndex += 1 | |
| 970 |
|
969 | |||
| 971 | return |
|
970 | return | |
| 972 |
|
971 | |||
| 973 | def pushData(self): |
|
972 | def pushData(self): | |
| 974 | """ |
|
973 | """ | |
| 975 | Return the sum of the last profiles and the profiles used in the sum. |
|
974 | Return the sum of the last profiles and the profiles used in the sum. | |
| 976 |
|
975 | |||
| 977 | Affected: |
|
976 | Affected: | |
| 978 |
|
977 | |||
| 979 | self.__profileIndex |
|
978 | self.__profileIndex | |
| 980 |
|
979 | |||
| 981 | """ |
|
980 | """ | |
| 982 |
|
981 | |||
| 983 | data_spc = self.__buffer_spc |
|
982 | data_spc = self.__buffer_spc | |
| 984 | data_cspc = self.__buffer_cspc |
|
983 | data_cspc = self.__buffer_cspc | |
| 985 | data_dc = self.__buffer_dc |
|
984 | data_dc = self.__buffer_dc | |
| 986 | n = self.__profIndex |
|
985 | n = self.__profIndex | |
| 987 |
|
986 | |||
| 988 | self.__buffer_spc = 0 |
|
987 | self.__buffer_spc = 0 | |
| 989 | self.__buffer_cspc = 0 |
|
988 | self.__buffer_cspc = 0 | |
| 990 | self.__buffer_dc = 0 |
|
989 | self.__buffer_dc = 0 | |
| 991 | self.__profIndex = 0 |
|
990 | self.__profIndex = 0 | |
| 992 |
|
991 | |||
| 993 | return data_spc, data_cspc, data_dc, n |
|
992 | return data_spc, data_cspc, data_dc, n | |
| 994 |
|
993 | |||
| 995 | def byProfiles(self, *args): |
|
994 | def byProfiles(self, *args): | |
| 996 |
|
995 | |||
| 997 | self.__dataReady = False |
|
996 | self.__dataReady = False | |
| 998 | avgdata_spc = None |
|
997 | avgdata_spc = None | |
| 999 | avgdata_cspc = None |
|
998 | avgdata_cspc = None | |
| 1000 | avgdata_dc = None |
|
999 | avgdata_dc = None | |
| 1001 |
|
1000 | |||
| 1002 | self.putData(*args) |
|
1001 | self.putData(*args) | |
| 1003 |
|
1002 | |||
| 1004 | if self.__profIndex == self.n: |
|
1003 | if self.__profIndex == self.n: | |
| 1005 |
|
1004 | |||
| 1006 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() |
|
1005 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() | |
| 1007 | self.n = n |
|
1006 | self.n = n | |
| 1008 | self.__dataReady = True |
|
1007 | self.__dataReady = True | |
| 1009 |
|
1008 | |||
| 1010 | return avgdata_spc, avgdata_cspc, avgdata_dc |
|
1009 | return avgdata_spc, avgdata_cspc, avgdata_dc | |
| 1011 |
|
1010 | |||
| 1012 | def byTime(self, datatime, *args): |
|
1011 | def byTime(self, datatime, *args): | |
| 1013 |
|
1012 | |||
| 1014 | self.__dataReady = False |
|
1013 | self.__dataReady = False | |
| 1015 | avgdata_spc = None |
|
1014 | avgdata_spc = None | |
| 1016 | avgdata_cspc = None |
|
1015 | avgdata_cspc = None | |
| 1017 | avgdata_dc = None |
|
1016 | avgdata_dc = None | |
| 1018 |
|
1017 | |||
| 1019 | self.putData(*args) |
|
1018 | self.putData(*args) | |
| 1020 |
|
1019 | |||
| 1021 | if (datatime - self.__initime) >= self.__integrationtime: |
|
1020 | if (datatime - self.__initime) >= self.__integrationtime: | |
| 1022 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() |
|
1021 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() | |
| 1023 | self.n = n |
|
1022 | self.n = n | |
| 1024 | self.__dataReady = True |
|
1023 | self.__dataReady = True | |
| 1025 |
|
1024 | |||
| 1026 | return avgdata_spc, avgdata_cspc, avgdata_dc |
|
1025 | return avgdata_spc, avgdata_cspc, avgdata_dc | |
| 1027 |
|
1026 | |||
| 1028 | def integrate(self, datatime, *args): |
|
1027 | def integrate(self, datatime, *args): | |
| 1029 |
|
1028 | |||
| 1030 | if self.__profIndex == 0: |
|
1029 | if self.__profIndex == 0: | |
| 1031 | self.__initime = datatime |
|
1030 | self.__initime = datatime | |
| 1032 |
|
1031 | |||
| 1033 | if self.__byTime: |
|
1032 | if self.__byTime: | |
| 1034 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byTime(datatime, *args) |
|
1033 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byTime(datatime, *args) | |
| 1035 | else: |
|
1034 | else: | |
| 1036 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byProfiles(*args) |
|
1035 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byProfiles(*args) | |
| 1037 |
|
1036 | |||
| 1038 | if not self.__dataReady: |
|
1037 | if not self.__dataReady: | |
| 1039 | return None, None, None, None |
|
1038 | return None, None, None, None | |
| 1040 |
|
1039 | |||
| 1041 | return self.__initime, avgdata_spc, avgdata_cspc, avgdata_dc |
|
1040 | return self.__initime, avgdata_spc, avgdata_cspc, avgdata_dc | |
| 1042 |
|
1041 | |||
| 1043 | def run(self, dataOut, n=None, timeInterval=None, overlapping=False): |
|
1042 | def run(self, dataOut, n=None, timeInterval=None, overlapping=False): | |
| 1044 |
|
1043 | |||
| 1045 | if n==1: |
|
1044 | if n==1: | |
| 1046 | return |
|
1045 | return | |
| 1047 |
|
1046 | |||
| 1048 | dataOut.flagNoData = True |
|
1047 | dataOut.flagNoData = True | |
| 1049 |
|
1048 | |||
| 1050 | if not self.isConfig: |
|
1049 | if not self.isConfig: | |
| 1051 | self.setup(n, timeInterval, overlapping) |
|
1050 | self.setup(n, timeInterval, overlapping) | |
| 1052 | self.isConfig = True |
|
1051 | self.isConfig = True | |
| 1053 |
|
1052 | |||
| 1054 | avgdatatime, avgdata_spc, avgdata_cspc, avgdata_dc = self.integrate(dataOut.utctime, |
|
1053 | avgdatatime, avgdata_spc, avgdata_cspc, avgdata_dc = self.integrate(dataOut.utctime, | |
| 1055 | dataOut.data_spc, |
|
1054 | dataOut.data_spc, | |
| 1056 | dataOut.data_cspc, |
|
1055 | dataOut.data_cspc, | |
| 1057 | dataOut.data_dc) |
|
1056 | dataOut.data_dc) | |
| 1058 |
|
1057 | |||
| 1059 | if self.__dataReady: |
|
1058 | if self.__dataReady: | |
| 1060 |
|
1059 | |||
| 1061 | dataOut.data_spc = avgdata_spc |
|
1060 | dataOut.data_spc = avgdata_spc | |
| 1062 | dataOut.data_cspc = avgdata_cspc |
|
1061 | dataOut.data_cspc = avgdata_cspc | |
| 1063 | dataOut.data_dc = avgdata_dc |
|
1062 | dataOut.data_dc = avgdata_dc | |
| 1064 |
|
1063 | |||
| 1065 | dataOut.nIncohInt *= self.n |
|
1064 | dataOut.nIncohInt *= self.n | |
| 1066 | dataOut.utctime = avgdatatime |
|
1065 | dataOut.utctime = avgdatatime | |
| 1067 | dataOut.flagNoData = False |
|
1066 | dataOut.flagNoData = False | |
| 1068 |
|
1067 | |||
| @@ -1,1 +1,1 | |||||
| 1 | <Project description="Segundo Test" id="191" name="test01"><ReadUnit datatype="SpectraReader" id="1911" inputId="0" name="SpectraReader"><Operation id="19111" name="run" priority="1" type="self"><Parameter format="str" id="191111" name="datatype" value="SpectraReader" /><Parameter format="str" id="191112" name="path" value="/media/erick/6F60F7113095A154/CLAIRE/CLAIRE_WINDS_2MHZ/DATA/pdatatest/test1024/d2017234" /><Parameter format="date" id="191113" name="startDate" value="2017/08/22" /><Parameter format="date" id="191114" name="endDate" value="2017/08/22" /><Parameter format="time" id="191115" name="startTime" value="02:00:00" /><Parameter format="time" id="191116" name="endTime" value="06:00:00" /><Parameter format="int" id="191118" name="online" value="0" /><Parameter format="int" id="191119" name="walk" value="0" /></Operation><Operation id="19112" name="printInfo" priority="2" type="self" /><Operation id="19113" name="printNumberOfBlock" priority="3" type="self" /></ReadUnit><ProcUnit datatype="Parameters" id="1913" inputId="1912" name="ParametersProc"><Operation id="19131" name="run" priority="1" type="self" /><Operation id="19132" name="SpectralMoments" priority="2" type="other" /><Operation id="19133" name="FullSpectralAnalysis" priority="3" type="other"><Parameter format="float" id="191331" name="SNRlimit" value="-16" /><Parameter format="float" id="191332" name="E01" value="1.500" /><Parameter format="float" id="191333" name="E02" value="1.500" /><Parameter format="float" id="191334" name="E12" value="0" /><Parameter format="float" id="191335" name="N01" value="0.875" /><Parameter format="float" id="191336" name="N02" value="-0.875" /><Parameter format="float" id="191337" name="N12" value="-1.750" /></Operation><Operation id="19134" name="ParamWriter" priority="4" type="other"><Parameter format="str" id="191341" name="path" value="/media/erick/6F60F7113095A154/CLAIRE/CLAIRE_WINDS_2MHZ/DATA/pdatatest/test1024" /><Parameter format="int" id="191342" name="blocksPerFile" value="100" /><Parameter format="list" id="191343" name="metadataList" value="heightList,timeZone,paramInterval" /><Parameter format="list" id="191344" name="dataList" value="data_output,data_SNR,utctime,utctimeInit" /></Operation></ProcUnit><ProcUnit datatype="SpectraProc" id="1912" inputId="1911" name="SpectraProc"><Operation id="19121" name="run" priority="1" type="self"><Parameter format="pairslist" id="191211" name="pairsList" value="(0,1),(0,2),(1,2)" /></Operation><Operation id="19122" name="setRadarFrequency" priority="2" type="self"><Parameter format="float" id="191221" name="frequency" value="445.09e6" /></Operation><Operation id="19123" name="IncohInt" priority="3" type="external"><Parameter format="float" id="191231" name="n" value="5" /></Operation><Operation id="19124" name="SpectraPlot" priority="4" type="external"><Parameter format="int" id="191241" name="id" value="11" /><Parameter format="str" id="191242" name="wintitle" value="SpectraPlot" /><Parameter format="str" id="191243" name="xaxis" value="frequency" /><Parameter format="float" id="191244" name="ymin" value="1" /><Parameter format="int" id="191245" name="ymax" value="5" /><Parameter format="int" id="191246" name="zmin" value="15" /><Parameter format="int" id="191247" name="zmax" value="50" /><Parameter format="int" id="191248" name="save" value="2" /><Parameter format="int" id="191249" name="save" value="5" /><Parameter format="str" id="191250" name="figpath" value="/media/erick/6F60F7113095A154/CLAIRE/CLAIRE_WINDS_2MHZ/Images/FirstResults1024" /></Operation><Operation id="19125" name="CrossSpectraPlot" priority="5" type="other"><Parameter format="int" id="191251" name="id" value="2005" /><Parameter format="str" id="191252" name="wintitle" value="CrossSpectraPlot_ShortPulse" /><Parameter format="str" id="191253" name="xaxis" value="Velocity" /><Parameter format="float" id="191254" name="xmin" value="-10" /><Parameter format="float" id="191255" name="xmax" value="10" /><Parameter format="int" id="191256" name="zmin" value="15" /><Parameter format="int" id="191257" name="zmax" value="50" /><Parameter format="str" id="191258" name="phase_cmap" value="bwr" /><Parameter format="float" id="191259" name="ymin" value="1" /><Parameter format="float" id="191260" name="ymax" value="5" /></Operation></ProcUnit></Project> No newline at end of file |
|
1 | <Project description="Segundo Test" id="191" name="test01"><ReadUnit datatype="SpectraReader" id="1911" inputId="0" name="SpectraReader"><Operation id="19111" name="run" priority="1" type="self"><Parameter format="str" id="191111" name="datatype" value="SpectraReader" /><Parameter format="str" id="191112" name="path" value="/media/erick/6F60F7113095A154/CLAIRE/CLAIRE_WINDS_2MHZ/DATA/pdataCLAIRE/Extra" /><Parameter format="date" id="191113" name="startDate" value="2018/02/01" /><Parameter format="date" id="191114" name="endDate" value="2018/02/01" /><Parameter format="time" id="191115" name="startTime" value="17:00:00" /><Parameter format="time" id="191116" name="endTime" value="20:00:00" /><Parameter format="int" id="191118" name="online" value="0" /><Parameter format="int" id="191119" name="walk" value="1" /></Operation><Operation id="19112" name="printInfo" priority="2" type="self" /><Operation id="19113" name="printNumberOfBlock" priority="3" type="self" /></ReadUnit><ProcUnit datatype="Parameters" id="1913" inputId="1912" name="ParametersProc"><Operation id="19131" name="run" priority="1" type="self" /><Operation id="19132" name="SpectralFilters" priority="2" type="other"><Parameter format="float" id="191321" name="Wind_Velocity_Limit" value="2.5" /><Parameter format="float" id="191322" name="Rain_Velocity_Limit" value="1.5" /></Operation><Operation id="19133" name="FullSpectralAnalysis" priority="3" type="other"><Parameter format="float" id="191331" name="SNRlimit" value="-16" /><Parameter format="float" id="191332" name="E01" value="1.500" /><Parameter format="float" id="191333" name="E02" value="1.500" /><Parameter format="float" id="191334" name="E12" value="0" /><Parameter format="float" id="191335" name="N01" value="0.875" /><Parameter format="float" id="191336" name="N02" value="-0.875" /><Parameter format="float" id="191337" name="N12" value="-1.750" /></Operation><Operation id="19134" name="WindProfilerPlot" priority="4" type="other"><Parameter format="int" id="191341" name="id" value="4" /><Parameter format="str" id="191342" name="wintitle" value="Wind Profiler" /><Parameter format="float" id="191343" name="xmin" value="17" /><Parameter format="float" id="191344" name="xmax" value="20" /><Parameter format="float" id="191345" name="ymin" value="0" /><Parameter format="int" id="191346" name="ymax" value="8" /><Parameter format="float" id="191347" name="zmin" value="-20" /><Parameter format="float" id="191348" name="zmax" value="20" /><Parameter format="float" id="191349" name="SNRmin" value="-20" /><Parameter format="float" id="191350" name="SNRmax" value="20" /><Parameter format="float" id="191351" name="zmin_ver" value="-200" /><Parameter format="float" id="191352" name="zmax_ver" value="200" /><Parameter format="float" id="191353" name="SNRthresh" value="-20" /><Parameter format="int" id="191354" name="save" value="1" /><Parameter format="str" id="191355" name="figpath" value="/media/erick/6F60F7113095A154/CLAIRE/CLAIRE_WINDS_2MHZ/DATA/pdataCLAIRE/Extra" /></Operation><Operation id="19135" name="PrecipitationProc" priority="5" type="other" /><Operation id="19136" name="ParametersPlot" priority="6" type="other"><Parameter format="int" id="191361" name="id" value="10" /><Parameter format="str" id="191362" name="wintitle" value="First_gg" /><Parameter format="int" id="191363" name="zmin" value="-20" /><Parameter format="int" id="191364" name="zmax" value="60" /><Parameter format="int" id="191365" name="ymin" value="0" /><Parameter format="int" id="191366" name="ymax" value="8" /><Parameter format="int" id="191367" name="xmin" value="17" /><Parameter format="int" id="191368" name="xmax" value="20" /><Parameter format="int" id="191369" name="save" value="1" /><Parameter format="str" id="191370" name="figpath" value="/media/erick/6F60F7113095A154/CLAIRE/CLAIRE_WINDS_2MHZ/DATA/pdataCLAIRE/Extra" /></Operation><Operation id="19137" name="ParamWriter" priority="7" type="other"><Parameter format="str" id="191371" name="path" value="/media/erick/6F60F7113095A154/CLAIRE/CLAIRE_WINDS_2MHZ/DATA/pdatatest/test1024" /><Parameter format="int" id="191372" name="blocksPerFile" value="100" /><Parameter format="list" id="191373" name="metadataList" value="heightList,timeZone,paramInterval" /><Parameter format="list" id="191374" name="dataList" value="data_output,data_SNR,utctime,utctimeInit" /></Operation></ProcUnit><ProcUnit datatype="SpectraProc" id="1912" inputId="1911" name="SpectraProc"><Operation id="19121" name="run" priority="1" type="self" /><Operation id="19122" name="setRadarFrequency" priority="2" type="self"><Parameter format="float" id="191221" name="frequency" value="445.09e6" /></Operation></ProcUnit></Project> No newline at end of file | |
| @@ -1,238 +1,239 | |||||
| 1 | import os, sys |
|
1 | import os, sys | |
| 2 |
|
2 | |||
| 3 | from schainpy.controller import Project |
|
3 | from schainpy.controller import Project | |
| 4 |
|
4 | |||
| 5 | if __name__ == '__main__': |
|
5 | if __name__ == '__main__': | |
| 6 |
|
6 | |||
| 7 | desc = "Segundo Test" |
|
7 | desc = "Segundo Test" | |
| 8 | filename = "schain.xml" |
|
8 | filename = "schain.xml" | |
| 9 |
|
9 | |||
| 10 |
pathW='/media/erick/6F60F7113095A154/CLAIRE/CLAIRE_WINDS_2MHZ/DATA/pdata |
|
10 | pathW='/media/erick/6F60F7113095A154/CLAIRE/CLAIRE_WINDS_2MHZ/DATA/pdataCLAIRE/Extra' | |
| 11 |
figpath = '/media/erick/6F60F7113095A154/CLAIRE/CLAIRE_WINDS_2MHZ/ |
|
11 | figpath = '/media/erick/6F60F7113095A154/CLAIRE/CLAIRE_WINDS_2MHZ/DATA/pdataCLAIRE/Extra' | |
| 12 |
|
12 | |||
| 13 | controllerObj = Project() |
|
13 | controllerObj = Project() | |
| 14 |
|
14 | |||
| 15 | controllerObj.setup(id='191', name='test01', description=desc) |
|
15 | controllerObj.setup(id='191', name='test01', description=desc) | |
| 16 |
|
16 | |||
| 17 | readUnitConfObj = controllerObj.addReadUnit(datatype='VoltageReader', |
|
17 | readUnitConfObj = controllerObj.addReadUnit(datatype='VoltageReader', | |
| 18 | path='/media/erick/6F60F7113095A154/CLAIRE/CLAIRE_WINDS_2MHZ/DATA/', |
|
18 | path='/media/erick/6F60F7113095A154/CLAIRE/CLAIRE_WINDS_2MHZ/DATA/', | |
| 19 | #path='/home/erick/Documents/Data/Claire_Data/raw', |
|
19 | #path='/home/erick/Documents/Data/Claire_Data/raw', | |
| 20 |
startDate='201 |
|
20 | startDate='2018/02/01', | |
| 21 |
endDate='201 |
|
21 | endDate='2018/02/01', | |
| 22 |
startTime=' |
|
22 | startTime='12:00:00', | |
| 23 |
endTime='0 |
|
23 | endTime='20:00:00', | |
| 24 | online=0, |
|
24 | online=0, | |
| 25 | walk=1) |
|
25 | walk=1) | |
| 26 |
|
26 | |||
| 27 | opObj00 = readUnitConfObj.addOperation(name='printInfo') |
|
27 | opObj00 = readUnitConfObj.addOperation(name='printInfo') | |
| 28 | # |
|
28 | # | |
| 29 | # procUnitConfObj0 = controllerObj.addProcUnit(datatype='VoltageProc', |
|
29 | # procUnitConfObj0 = controllerObj.addProcUnit(datatype='VoltageProc', | |
| 30 | # inputId=readUnitConfObj.getId()) |
|
30 | # inputId=readUnitConfObj.getId()) | |
| 31 | # |
|
31 | # | |
| 32 | # opObj10 = procUnitConfObj0.addOperation(name='selectHeights') |
|
32 | # opObj10 = procUnitConfObj0.addOperation(name='selectHeights') | |
| 33 | # opObj10.addParameter(name='minHei', value='0', format='float') |
|
33 | # opObj10.addParameter(name='minHei', value='0', format='float') | |
| 34 | # opObj10.addParameter(name='maxHei', value='8', format='float') |
|
34 | # opObj10.addParameter(name='maxHei', value='8', format='float') | |
| 35 | # |
|
35 | # | |
| 36 | # opObj10 = procUnitConfObj0.addOperation(name='filterByHeights') |
|
36 | # opObj10 = procUnitConfObj0.addOperation(name='filterByHeights') | |
| 37 | # opObj10.addParameter(name='window', value='2', format='float') |
|
37 | # opObj10.addParameter(name='window', value='2', format='float') | |
| 38 | # |
|
38 | # | |
| 39 | # opObj10 = procUnitConfObj0.addOperation(name='Decoder', optype='external') |
|
39 | # opObj10 = procUnitConfObj0.addOperation(name='Decoder', optype='external') | |
| 40 | # opObj10.addParameter(name='code', value='1,-1', format='intlist') |
|
40 | # opObj10.addParameter(name='code', value='1,-1', format='intlist') | |
| 41 | # opObj10.addParameter(name='nCode', value='2', format='float') |
|
41 | # opObj10.addParameter(name='nCode', value='2', format='float') | |
| 42 | # opObj10.addParameter(name='nBaud', value='1', format='float') |
|
42 | # opObj10.addParameter(name='nBaud', value='1', format='float') | |
| 43 | # |
|
43 | # | |
| 44 | # |
|
44 | # | |
| 45 | # opObj10 = procUnitConfObj0.addOperation(name='CohInt', optype='external') |
|
45 | # opObj10 = procUnitConfObj0.addOperation(name='CohInt', optype='external') | |
| 46 | # opObj10.addParameter(name='n', value='1296', format='float') |
|
46 | # opObj10.addParameter(name='n', value='1296', format='float') | |
| 47 |
|
47 | |||
| 48 | opObj00 = readUnitConfObj.addOperation(name='printNumberOfBlock') |
|
48 | opObj00 = readUnitConfObj.addOperation(name='printNumberOfBlock') | |
| 49 |
|
49 | |||
| 50 | procUnitConfObj0 = controllerObj.addProcUnit(datatype='VoltageProc', |
|
50 | procUnitConfObj0 = controllerObj.addProcUnit(datatype='VoltageProc', | |
| 51 | inputId=readUnitConfObj.getId()) |
|
51 | inputId=readUnitConfObj.getId()) | |
| 52 |
|
52 | |||
| 53 |
|
53 | |||
| 54 | opObj10 = procUnitConfObj0.addOperation(name='setRadarFrequency') |
|
54 | opObj10 = procUnitConfObj0.addOperation(name='setRadarFrequency') | |
| 55 | opObj10.addParameter(name='frequency', value='445.09e6', format='float') |
|
55 | opObj10.addParameter(name='frequency', value='445.09e6', format='float') | |
| 56 |
|
56 | |||
| 57 |
|
|
57 | opObj10 = procUnitConfObj0.addOperation(name='CohInt', optype='external') | |
| 58 |
|
|
58 | opObj10.addParameter(name='n', value='2', format='float') | |
| 59 |
|
59 | |||
| 60 | #opObj10 = procUnitConfObj0.addOperation(name='selectHeights') |
|
60 | #opObj10 = procUnitConfObj0.addOperation(name='selectHeights') | |
| 61 | #opObj10.addParameter(name='minHei', value='1', format='float') |
|
61 | #opObj10.addParameter(name='minHei', value='1', format='float') | |
| 62 | #opObj10.addParameter(name='maxHei', value='15', format='float') |
|
62 | #opObj10.addParameter(name='maxHei', value='15', format='float') | |
| 63 |
|
63 | |||
| 64 | #opObj10 = procUnitConfObj0.addOperation(name='selectFFTs') |
|
64 | #opObj10 = procUnitConfObj0.addOperation(name='selectFFTs') | |
| 65 | #opObj10.addParameter(name='minHei', value='', format='float') |
|
65 | #opObj10.addParameter(name='minHei', value='', format='float') | |
| 66 | #opObj10.addParameter(name='maxHei', value='', format='float') |
|
66 | #opObj10.addParameter(name='maxHei', value='', format='float') | |
| 67 |
|
67 | |||
| 68 | procUnitConfObj1 = controllerObj.addProcUnit(datatype='SpectraProc', |
|
68 | procUnitConfObj1 = controllerObj.addProcUnit(datatype='SpectraProc', | |
| 69 | inputId=procUnitConfObj0.getId()) |
|
69 | inputId=procUnitConfObj0.getId()) | |
| 70 |
|
70 | |||
| 71 | # Creating a processing object with its parameters |
|
71 | # Creating a processing object with its parameters | |
| 72 | # schainpy.model.proc.jroproc_spectra.SpectraProc.run() |
|
72 | # schainpy.model.proc.jroproc_spectra.SpectraProc.run() | |
| 73 | # If you need to add more parameters can use the "addParameter method" |
|
73 | # If you need to add more parameters can use the "addParameter method" | |
| 74 |
procUnitConfObj1.addParameter(name='nFFTPoints', value=' |
|
74 | procUnitConfObj1.addParameter(name='nFFTPoints', value='256', format='int') | |
| 75 |
|
75 | |||
| 76 |
|
76 | |||
| 77 | opObj10 = procUnitConfObj1.addOperation(name='removeDC') |
|
77 | opObj10 = procUnitConfObj1.addOperation(name='removeDC') | |
| 78 | #opObj10 = procUnitConfObj1.addOperation(name='removeInterference') |
|
78 | #opObj10 = procUnitConfObj1.addOperation(name='removeInterference') | |
| 79 |
|
|
79 | opObj10 = procUnitConfObj1.addOperation(name='IncohInt', optype='external') | |
| 80 |
|
|
80 | opObj10.addParameter(name='n', value='10', format='float') | |
| 81 |
|
81 | |||
| 82 |
|
82 | |||
| 83 |
|
83 | |||
| 84 | #opObj10 = procUnitConfObj1.addOperation(name='selectFFTs') |
|
84 | #opObj10 = procUnitConfObj1.addOperation(name='selectFFTs') | |
| 85 | #opObj10.addParameter(name='minFFT', value='-15', format='float') |
|
85 | #opObj10.addParameter(name='minFFT', value='-15', format='float') | |
| 86 | #opObj10.addParameter(name='maxFFT', value='15', format='float') |
|
86 | #opObj10.addParameter(name='maxFFT', value='15', format='float') | |
| 87 |
|
87 | |||
| 88 |
|
88 | |||
| 89 |
|
89 | |||
| 90 | opObj10 = procUnitConfObj1.addOperation(name='SpectraWriter', optype='other') |
|
90 | opObj10 = procUnitConfObj1.addOperation(name='SpectraWriter', optype='other') | |
| 91 | opObj10.addParameter(name='blocksPerFile', value='64', format = 'int') |
|
91 | opObj10.addParameter(name='blocksPerFile', value='64', format = 'int') | |
| 92 | opObj10.addParameter(name='path', value=pathW) |
|
92 | opObj10.addParameter(name='path', value=pathW) | |
| 93 | # Using internal methods |
|
93 | # Using internal methods | |
| 94 | # schainpy.model.proc.jroproc_spectra.SpectraProc.selectChannels() |
|
94 | # schainpy.model.proc.jroproc_spectra.SpectraProc.selectChannels() | |
| 95 | # opObj10 = procUnitConfObj1.addOperation(name='selectChannels') |
|
95 | # opObj10 = procUnitConfObj1.addOperation(name='selectChannels') | |
| 96 | # opObj10.addParameter(name='channelList', value='0,1', format='intlist') |
|
96 | # opObj10.addParameter(name='channelList', value='0,1', format='intlist') | |
| 97 |
|
97 | |||
| 98 | # Using internal methods |
|
98 | # Using internal methods | |
| 99 | # schainpy.model.proc.jroproc_spectra.SpectraProc.selectHeights() |
|
99 | # schainpy.model.proc.jroproc_spectra.SpectraProc.selectHeights() | |
| 100 | # opObj10 = procUnitConfObj1.addOperation(name='selectHeights') |
|
100 | # opObj10 = procUnitConfObj1.addOperation(name='selectHeights') | |
| 101 | # opObj10.addParameter(name='minHei', value='90', format='float') |
|
101 | # opObj10.addParameter(name='minHei', value='90', format='float') | |
| 102 | # opObj10.addParameter(name='maxHei', value='180', format='float') |
|
102 | # opObj10.addParameter(name='maxHei', value='180', format='float') | |
| 103 |
|
103 | |||
| 104 | # Using external methods (new modules) |
|
104 | # Using external methods (new modules) | |
| 105 | # #schainpy.model.proc.jroproc_spectra.IncohInt.setup() |
|
105 | # #schainpy.model.proc.jroproc_spectra.IncohInt.setup() | |
| 106 | # opObj12 = procUnitConfObj1.addOperation(name='IncohInt', optype='other') |
|
106 | # opObj12 = procUnitConfObj1.addOperation(name='IncohInt', optype='other') | |
| 107 | # opObj12.addParameter(name='n', value='1', format='int') |
|
107 | # opObj12.addParameter(name='n', value='1', format='int') | |
| 108 |
|
108 | |||
| 109 | # Using external methods (new modules) |
|
109 | # Using external methods (new modules) | |
| 110 | # schainpy.model.graphics.jroplot_spectra.SpectraPlot.setup() |
|
110 | # schainpy.model.graphics.jroplot_spectra.SpectraPlot.setup() | |
| 111 | opObj11 = procUnitConfObj1.addOperation(name='SpectraPlot', optype='external') |
|
111 | opObj11 = procUnitConfObj1.addOperation(name='SpectraPlot', optype='external') | |
| 112 | opObj11.addParameter(name='id', value='11', format='int') |
|
112 | opObj11.addParameter(name='id', value='11', format='int') | |
| 113 | opObj11.addParameter(name='wintitle', value='SpectraPlot', format='str') |
|
113 | opObj11.addParameter(name='wintitle', value='SpectraPlot', format='str') | |
| 114 | opObj11.addParameter(name='xaxis', value='velocity', format='str') |
|
114 | opObj11.addParameter(name='xaxis', value='velocity', format='str') | |
| 115 | # opObj11.addParameter(name='xmin', value='-10', format='int') |
|
115 | # opObj11.addParameter(name='xmin', value='-10', format='int') | |
| 116 | # opObj11.addParameter(name='xmax', value='10', format='int') |
|
116 | # opObj11.addParameter(name='xmax', value='10', format='int') | |
| 117 |
|
117 | |||
| 118 | # opObj11.addParameter(name='ymin', value='1', format='float') |
|
118 | # opObj11.addParameter(name='ymin', value='1', format='float') | |
| 119 | # opObj11.addParameter(name='ymax', value='3', format='int') |
|
119 | # opObj11.addParameter(name='ymax', value='3', format='int') | |
| 120 | #opObj11.addParameter(name='zmin', value='10', format='int') |
|
120 | #opObj11.addParameter(name='zmin', value='10', format='int') | |
| 121 | #opObj11.addParameter(name='zmax', value='35', format='int') |
|
121 | #opObj11.addParameter(name='zmax', value='35', format='int') | |
| 122 | # opObj11.addParameter(name='save', value='2', format='int') |
|
122 | # opObj11.addParameter(name='save', value='2', format='int') | |
| 123 | # opObj11.addParameter(name='save', value='5', format='int') |
|
123 | # opObj11.addParameter(name='save', value='5', format='int') | |
| 124 | # opObj11.addParameter(name='figpath', value=figpath, format='str') |
|
124 | # opObj11.addParameter(name='figpath', value=figpath, format='str') | |
| 125 |
|
125 | |||
| 126 |
|
126 | |||
| 127 | opObj11 = procUnitConfObj1.addOperation(name='CrossSpectraPlot', optype='other') |
|
127 | opObj11 = procUnitConfObj1.addOperation(name='CrossSpectraPlot', optype='other') | |
| 128 | procUnitConfObj1.addParameter(name='pairsList', value='(0,1),(0,2),(1,2)', format='pairsList') |
|
128 | procUnitConfObj1.addParameter(name='pairsList', value='(0,1),(0,2),(1,2)', format='pairsList') | |
| 129 | opObj11.addParameter(name='id', value='2005', format='int') |
|
129 | opObj11.addParameter(name='id', value='2005', format='int') | |
| 130 | #opObj11.addParameter(name='wintitle', value='CrossSpectraPlot_ShortPulse', format='str') |
|
130 | #opObj11.addParameter(name='wintitle', value='CrossSpectraPlot_ShortPulse', format='str') | |
| 131 | #opObj11.addParameter(name='exp_code', value='13', format='int') |
|
131 | #opObj11.addParameter(name='exp_code', value='13', format='int') | |
| 132 | opObj11.addParameter(name='xaxis', value='Velocity', format='str') |
|
132 | opObj11.addParameter(name='xaxis', value='Velocity', format='str') | |
| 133 | #opObj11.addParameter(name='xmin', value='-6', format='float') |
|
133 | #opObj11.addParameter(name='xmin', value='-6', format='float') | |
| 134 | #opObj11.addParameter(name='xmax', value='6', format='float') |
|
134 | #opObj11.addParameter(name='xmax', value='6', format='float') | |
| 135 | opObj11.addParameter(name='zmin', value='15', format='float') |
|
135 | opObj11.addParameter(name='zmin', value='15', format='float') | |
| 136 | opObj11.addParameter(name='zmax', value='50', format='float') |
|
136 | opObj11.addParameter(name='zmax', value='50', format='float') | |
| 137 | opObj11.addParameter(name='ymin', value='0', format='float') |
|
137 | opObj11.addParameter(name='ymin', value='0', format='float') | |
| 138 | opObj11.addParameter(name='ymax', value='7', format='float') |
|
138 | opObj11.addParameter(name='ymax', value='7', format='float') | |
| 139 | #opObj11.addParameter(name='phase_min', value='-4', format='int') |
|
139 | #opObj11.addParameter(name='phase_min', value='-4', format='int') | |
| 140 | #opObj11.addParameter(name='phase_max', value='4', format='int') |
|
140 | #opObj11.addParameter(name='phase_max', value='4', format='int') | |
| 141 | # |
|
141 | # | |
| 142 |
|
142 | |||
| 143 | # Using external methods (new modules) |
|
143 | # Using external methods (new modules) | |
| 144 | # schainpy.model.graphics.jroplot_spectra.RTIPlot.setup() |
|
144 | # schainpy.model.graphics.jroplot_spectra.RTIPlot.setup() | |
| 145 | opObj11 = procUnitConfObj1.addOperation(name='RTIPlot', optype='other') |
|
145 | opObj11 = procUnitConfObj1.addOperation(name='RTIPlot', optype='other') | |
| 146 | opObj11.addParameter(name='id', value='30', format='int') |
|
146 | opObj11.addParameter(name='id', value='30', format='int') | |
| 147 | opObj11.addParameter(name='wintitle', value='RTI', format='str') |
|
147 | opObj11.addParameter(name='wintitle', value='RTI', format='str') | |
| 148 | opObj11.addParameter(name='zmin', value='15', format='int') |
|
148 | opObj11.addParameter(name='zmin', value='15', format='int') | |
| 149 | opObj11.addParameter(name='zmax', value='40', format='int') |
|
149 | opObj11.addParameter(name='zmax', value='40', format='int') | |
| 150 | opObj11.addParameter(name='ymin', value='1', format='int') |
|
150 | opObj11.addParameter(name='ymin', value='1', format='int') | |
| 151 | opObj11.addParameter(name='ymax', value='7', format='int') |
|
151 | opObj11.addParameter(name='ymax', value='7', format='int') | |
| 152 | opObj11.addParameter(name='showprofile', value='1', format='int') |
|
152 | opObj11.addParameter(name='showprofile', value='1', format='int') | |
| 153 | # opObj11.addParameter(name='timerange', value=str(5*60*60*60), format='int') |
|
153 | # opObj11.addParameter(name='timerange', value=str(5*60*60*60), format='int') | |
| 154 | opObj11.addParameter(name='xmin', value='1', format='float') |
|
154 | #opObj11.addParameter(name='xmin', value='1', format='float') | |
| 155 | opObj11.addParameter(name='xmax', value='6', format='float') |
|
155 | #opObj11.addParameter(name='xmax', value='6', format='float') | |
| 156 | opObj11.addParameter(name='save', value='1', format='int') |
|
156 | opObj11.addParameter(name='save', value='1', format='int') | |
|
|
157 | opObj11.addParameter(name='figpath', value=figpath, format='str') | |||
| 157 |
|
158 | |||
| 158 |
|
159 | |||
| 159 | # '''#########################################################################################''' |
|
160 | # '''#########################################################################################''' | |
| 160 | # |
|
161 | # | |
| 161 | # |
|
162 | # | |
| 162 | # procUnitConfObj2 = controllerObj.addProcUnit(datatype='Parameters', inputId=procUnitConfObj1.getId()) |
|
163 | # procUnitConfObj2 = controllerObj.addProcUnit(datatype='Parameters', inputId=procUnitConfObj1.getId()) | |
| 163 | # opObj11 = procUnitConfObj2.addOperation(name='SpectralMoments', optype='other') |
|
164 | # opObj11 = procUnitConfObj2.addOperation(name='SpectralMoments', optype='other') | |
| 164 | # |
|
165 | # | |
| 165 | # ''' |
|
166 | # ''' | |
| 166 | # # Discriminacion de ecos |
|
167 | # # Discriminacion de ecos | |
| 167 | # opObj11 = procUnitConfObj2.addOperation(name='GaussianFit', optype='other') |
|
168 | # opObj11 = procUnitConfObj2.addOperation(name='GaussianFit', optype='other') | |
| 168 | # opObj11.addParameter(name='SNRlimit', value='0', format='int') |
|
169 | # opObj11.addParameter(name='SNRlimit', value='0', format='int') | |
| 169 | # ''' |
|
170 | # ''' | |
| 170 | # |
|
171 | # | |
| 171 | # ''' |
|
172 | # ''' | |
| 172 | # # Estimacion de Precipitacion |
|
173 | # # Estimacion de Precipitacion | |
| 173 | # opObj11 = procUnitConfObj2.addOperation(name='PrecipitationProc', optype='other') |
|
174 | # opObj11 = procUnitConfObj2.addOperation(name='PrecipitationProc', optype='other') | |
| 174 | # ''' |
|
175 | # ''' | |
| 175 | # |
|
176 | # | |
| 176 | # opObj22 = procUnitConfObj2.addOperation(name='FullSpectralAnalysis', optype='other') |
|
177 | # opObj22 = procUnitConfObj2.addOperation(name='FullSpectralAnalysis', optype='other') | |
| 177 | # |
|
178 | # | |
| 178 | # opObj22.addParameter(name='SNRlimit', value='-10', format='float') |
|
179 | # opObj22.addParameter(name='SNRlimit', value='-10', format='float') | |
| 179 | # opObj22.addParameter(name='E01', value='1.500', format='float') |
|
180 | # opObj22.addParameter(name='E01', value='1.500', format='float') | |
| 180 | # opObj22.addParameter(name='E02', value='1.500', format='float') |
|
181 | # opObj22.addParameter(name='E02', value='1.500', format='float') | |
| 181 | # opObj22.addParameter(name='E12', value='0', format='float') |
|
182 | # opObj22.addParameter(name='E12', value='0', format='float') | |
| 182 | # opObj22.addParameter(name='N01', value='0.875', format='float') |
|
183 | # opObj22.addParameter(name='N01', value='0.875', format='float') | |
| 183 | # opObj22.addParameter(name='N02', value='-0.875', format='float') |
|
184 | # opObj22.addParameter(name='N02', value='-0.875', format='float') | |
| 184 | # opObj22.addParameter(name='N12', value='-1.750', format='float') |
|
185 | # opObj22.addParameter(name='N12', value='-1.750', format='float') | |
| 185 | # |
|
186 | # | |
| 186 | # |
|
187 | # | |
| 187 | # opObj22 = procUnitConfObj2.addOperation(name='WindProfilerPlot', optype='other') |
|
188 | # opObj22 = procUnitConfObj2.addOperation(name='WindProfilerPlot', optype='other') | |
| 188 | # opObj22.addParameter(name='id', value='4', format='int') |
|
189 | # opObj22.addParameter(name='id', value='4', format='int') | |
| 189 | # opObj22.addParameter(name='wintitle', value='Wind Profiler', format='str') |
|
190 | # opObj22.addParameter(name='wintitle', value='Wind Profiler', format='str') | |
| 190 | # opObj22.addParameter(name='save', value='1', format='bool') |
|
191 | # opObj22.addParameter(name='save', value='1', format='bool') | |
| 191 | # opObj22.addParameter(name='xmin', value='0', format='float') |
|
192 | # opObj22.addParameter(name='xmin', value='0', format='float') | |
| 192 | # opObj22.addParameter(name='xmax', value='6', format='float') |
|
193 | # opObj22.addParameter(name='xmax', value='6', format='float') | |
| 193 | # opObj22.addParameter(name='ymin', value='1', format='float') |
|
194 | # opObj22.addParameter(name='ymin', value='1', format='float') | |
| 194 | # opObj22.addParameter(name='ymax', value='3.5', format='float') |
|
195 | # opObj22.addParameter(name='ymax', value='3.5', format='float') | |
| 195 | # opObj22.addParameter(name='zmin', value='-1', format='float') |
|
196 | # opObj22.addParameter(name='zmin', value='-1', format='float') | |
| 196 | # opObj22.addParameter(name='zmax', value='1', format='float') |
|
197 | # opObj22.addParameter(name='zmax', value='1', format='float') | |
| 197 | # opObj22.addParameter(name='SNRmin', value='-15', format='float') |
|
198 | # opObj22.addParameter(name='SNRmin', value='-15', format='float') | |
| 198 | # opObj22.addParameter(name='SNRmax', value='20', format='float') |
|
199 | # opObj22.addParameter(name='SNRmax', value='20', format='float') | |
| 199 | # opObj22.addParameter(name='zmin_ver', value='-200', format='float') |
|
200 | # opObj22.addParameter(name='zmin_ver', value='-200', format='float') | |
| 200 | # opObj22.addParameter(name='zmax_ver', value='200', format='float') |
|
201 | # opObj22.addParameter(name='zmax_ver', value='200', format='float') | |
| 201 | # opObj22.addParameter(name='save', value='1', format='int') |
|
202 | # opObj22.addParameter(name='save', value='1', format='int') | |
| 202 | # opObj22.addParameter(name='figpath', value=figpath, format='str') |
|
203 | # opObj22.addParameter(name='figpath', value=figpath, format='str') | |
| 203 | # |
|
204 | # | |
| 204 | # |
|
205 | # | |
| 205 | # |
|
206 | # | |
| 206 | # #opObj11.addParameter(name='zmin', value='75', format='int') |
|
207 | # #opObj11.addParameter(name='zmin', value='75', format='int') | |
| 207 | # |
|
208 | # | |
| 208 | # #opObj12 = procUnitConfObj2.addOperation(name='ParametersPlot', optype='other') |
|
209 | # #opObj12 = procUnitConfObj2.addOperation(name='ParametersPlot', optype='other') | |
| 209 | # #opObj12.addParameter(name='id',value='4',format='int') |
|
210 | # #opObj12.addParameter(name='id',value='4',format='int') | |
| 210 | # #opObj12.addParameter(name='wintitle',value='First_gg',format='str') |
|
211 | # #opObj12.addParameter(name='wintitle',value='First_gg',format='str') | |
| 211 | # ''' |
|
212 | # ''' | |
| 212 | # #Ploteo de Discriminacion de Gaussianas |
|
213 | # #Ploteo de Discriminacion de Gaussianas | |
| 213 | # |
|
214 | # | |
| 214 | # opObj11 = procUnitConfObj2.addOperation(name='FitGauPlot', optype='other') |
|
215 | # opObj11 = procUnitConfObj2.addOperation(name='FitGauPlot', optype='other') | |
| 215 | # opObj11.addParameter(name='id', value='21', format='int') |
|
216 | # opObj11.addParameter(name='id', value='21', format='int') | |
| 216 | # opObj11.addParameter(name='wintitle', value='Rainfall Gaussian', format='str') |
|
217 | # opObj11.addParameter(name='wintitle', value='Rainfall Gaussian', format='str') | |
| 217 | # opObj11.addParameter(name='xaxis', value='velocity', format='str') |
|
218 | # opObj11.addParameter(name='xaxis', value='velocity', format='str') | |
| 218 | # opObj11.addParameter(name='showprofile', value='1', format='int') |
|
219 | # opObj11.addParameter(name='showprofile', value='1', format='int') | |
| 219 | # opObj11.addParameter(name='zmin', value='75', format='int') |
|
220 | # opObj11.addParameter(name='zmin', value='75', format='int') | |
| 220 | # opObj11.addParameter(name='zmax', value='100', format='int') |
|
221 | # opObj11.addParameter(name='zmax', value='100', format='int') | |
| 221 | # opObj11.addParameter(name='GauSelector', value='1', format='int') |
|
222 | # opObj11.addParameter(name='GauSelector', value='1', format='int') | |
| 222 | # #opObj11.addParameter(name='save', value='1', format='int') |
|
223 | # #opObj11.addParameter(name='save', value='1', format='int') | |
| 223 | # #opObj11.addParameter(name='figpath', value='/home/erick/Documents/Data/d2015106') |
|
224 | # #opObj11.addParameter(name='figpath', value='/home/erick/Documents/Data/d2015106') | |
| 224 | # |
|
225 | # | |
| 225 | # opObj11 = procUnitConfObj2.addOperation(name='FitGauPlot', optype='other') |
|
226 | # opObj11 = procUnitConfObj2.addOperation(name='FitGauPlot', optype='other') | |
| 226 | # opObj11.addParameter(name='id', value='22', format='int') |
|
227 | # opObj11.addParameter(name='id', value='22', format='int') | |
| 227 | # opObj11.addParameter(name='wintitle', value='Wind Gaussian', format='str') |
|
228 | # opObj11.addParameter(name='wintitle', value='Wind Gaussian', format='str') | |
| 228 | # opObj11.addParameter(name='xaxis', value='velocity', format='str') |
|
229 | # opObj11.addParameter(name='xaxis', value='velocity', format='str') | |
| 229 | # opObj11.addParameter(name='showprofile', value='1', format='int') |
|
230 | # opObj11.addParameter(name='showprofile', value='1', format='int') | |
| 230 | # opObj11.addParameter(name='zmin', value='75', format='int') |
|
231 | # opObj11.addParameter(name='zmin', value='75', format='int') | |
| 231 | # opObj11.addParameter(name='zmax', value='100', format='int') |
|
232 | # opObj11.addParameter(name='zmax', value='100', format='int') | |
| 232 | # opObj11.addParameter(name='GauSelector', value='0', format='int') |
|
233 | # opObj11.addParameter(name='GauSelector', value='0', format='int') | |
| 233 | # ''' |
|
234 | # ''' | |
| 234 | # |
|
235 | # | |
| 235 | # |
|
236 | # | |
| 236 |
|
237 | |||
| 237 |
|
238 | |||
| 238 | controllerObj.start() |
|
239 | controllerObj.start() | |
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