| @@ -1,1487 +1,1509 | |||||
| 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 | from figure import Figure, isRealtime, isTimeInHourRange |
|
10 | from figure import Figure, isRealtime, isTimeInHourRange | |
| 11 | from plotting_codes import * |
|
11 | from plotting_codes import * | |
| 12 |
|
12 | |||
| 13 | class SpectraPlot(Figure): |
|
13 | class SpectraPlot(Figure): | |
| 14 |
|
14 | |||
| 15 | isConfig = None |
|
15 | isConfig = None | |
| 16 | __nsubplots = None |
|
16 | __nsubplots = None | |
| 17 |
|
17 | |||
| 18 | WIDTHPROF = None |
|
18 | WIDTHPROF = None | |
| 19 | HEIGHTPROF = None |
|
19 | HEIGHTPROF = None | |
| 20 | PREFIX = 'spc' |
|
20 | PREFIX = 'spc' | |
| 21 |
|
21 | |||
| 22 | def __init__(self): |
|
22 | def __init__(self): | |
| 23 |
|
23 | |||
| 24 | self.isConfig = False |
|
24 | self.isConfig = False | |
| 25 | self.__nsubplots = 1 |
|
25 | self.__nsubplots = 1 | |
| 26 |
|
26 | |||
| 27 | self.WIDTH = 250 |
|
27 | self.WIDTH = 250 | |
| 28 | self.HEIGHT = 250 |
|
28 | self.HEIGHT = 250 | |
| 29 | self.WIDTHPROF = 120 |
|
29 | self.WIDTHPROF = 120 | |
| 30 | self.HEIGHTPROF = 0 |
|
30 | self.HEIGHTPROF = 0 | |
| 31 | self.counter_imagwr = 0 |
|
31 | self.counter_imagwr = 0 | |
| 32 |
|
32 | |||
| 33 | self.PLOT_CODE = SPEC_CODE |
|
33 | self.PLOT_CODE = SPEC_CODE | |
| 34 |
|
34 | |||
| 35 | self.FTP_WEI = None |
|
35 | self.FTP_WEI = None | |
| 36 | self.EXP_CODE = None |
|
36 | self.EXP_CODE = None | |
| 37 | self.SUB_EXP_CODE = None |
|
37 | self.SUB_EXP_CODE = None | |
| 38 | self.PLOT_POS = None |
|
38 | self.PLOT_POS = None | |
| 39 |
|
39 | |||
| 40 | self.__xfilter_ena = False |
|
40 | self.__xfilter_ena = False | |
| 41 | self.__yfilter_ena = False |
|
41 | self.__yfilter_ena = False | |
| 42 |
|
42 | |||
| 43 | def getSubplots(self): |
|
43 | def getSubplots(self): | |
| 44 |
|
44 | |||
| 45 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
45 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
| 46 | nrow = int(self.nplots*1./ncol + 0.9) |
|
46 | nrow = int(self.nplots*1./ncol + 0.9) | |
| 47 |
|
47 | |||
| 48 | return nrow, ncol |
|
48 | return nrow, ncol | |
| 49 |
|
49 | |||
| 50 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
50 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 51 |
|
51 | |||
| 52 | self.__showprofile = showprofile |
|
52 | self.__showprofile = showprofile | |
| 53 | self.nplots = nplots |
|
53 | self.nplots = nplots | |
| 54 |
|
54 | |||
| 55 | ncolspan = 1 |
|
55 | ncolspan = 1 | |
| 56 | colspan = 1 |
|
56 | colspan = 1 | |
| 57 | if showprofile: |
|
57 | if showprofile: | |
| 58 | ncolspan = 3 |
|
58 | ncolspan = 3 | |
| 59 | colspan = 2 |
|
59 | colspan = 2 | |
| 60 | self.__nsubplots = 2 |
|
60 | self.__nsubplots = 2 | |
| 61 |
|
61 | |||
| 62 | self.createFigure(id = id, |
|
62 | self.createFigure(id = id, | |
| 63 | wintitle = wintitle, |
|
63 | wintitle = wintitle, | |
| 64 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
64 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 65 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
65 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 66 | show=show) |
|
66 | show=show) | |
| 67 |
|
67 | |||
| 68 | nrow, ncol = self.getSubplots() |
|
68 | nrow, ncol = self.getSubplots() | |
| 69 |
|
69 | |||
| 70 | counter = 0 |
|
70 | counter = 0 | |
| 71 | for y in range(nrow): |
|
71 | for y in range(nrow): | |
| 72 | for x in range(ncol): |
|
72 | for x in range(ncol): | |
| 73 |
|
73 | |||
| 74 | if counter >= self.nplots: |
|
74 | if counter >= self.nplots: | |
| 75 | break |
|
75 | break | |
| 76 |
|
76 | |||
| 77 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
77 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 78 |
|
78 | |||
| 79 | if showprofile: |
|
79 | if showprofile: | |
| 80 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
80 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 81 |
|
81 | |||
| 82 | counter += 1 |
|
82 | counter += 1 | |
| 83 |
|
83 | |||
| 84 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, |
|
84 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True, | |
| 85 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
85 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 86 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
86 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 87 | server=None, folder=None, username=None, password=None, |
|
87 | server=None, folder=None, username=None, password=None, | |
| 88 |
ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False |
|
88 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False, | |
|
|
89 | xaxis="velocity"): | |||
| 89 |
|
90 | |||
| 90 | """ |
|
91 | """ | |
| 91 |
|
92 | |||
| 92 | Input: |
|
93 | Input: | |
| 93 | dataOut : |
|
94 | dataOut : | |
| 94 | id : |
|
95 | id : | |
| 95 | wintitle : |
|
96 | wintitle : | |
| 96 | channelList : |
|
97 | channelList : | |
| 97 | showProfile : |
|
98 | showProfile : | |
| 98 | xmin : None, |
|
99 | xmin : None, | |
| 99 | xmax : None, |
|
100 | xmax : None, | |
| 100 | ymin : None, |
|
101 | ymin : None, | |
| 101 | ymax : None, |
|
102 | ymax : None, | |
| 102 | zmin : None, |
|
103 | zmin : None, | |
| 103 | zmax : None |
|
104 | zmax : None | |
| 104 | """ |
|
105 | """ | |
| 105 |
|
106 | |||
| 106 | if realtime: |
|
107 | if realtime: | |
| 107 | if not(isRealtime(utcdatatime = dataOut.utctime)): |
|
108 | if not(isRealtime(utcdatatime = dataOut.utctime)): | |
| 108 | print 'Skipping this plot function' |
|
109 | print 'Skipping this plot function' | |
| 109 | return |
|
110 | return | |
| 110 |
|
111 | |||
| 111 | if channelList == None: |
|
112 | if channelList == None: | |
| 112 | channelIndexList = dataOut.channelIndexList |
|
113 | channelIndexList = dataOut.channelIndexList | |
| 113 | else: |
|
114 | else: | |
| 114 | channelIndexList = [] |
|
115 | channelIndexList = [] | |
| 115 | for channel in channelList: |
|
116 | for channel in channelList: | |
| 116 | if channel not in dataOut.channelList: |
|
117 | if channel not in dataOut.channelList: | |
| 117 | raise ValueError, "Channel %d is not in dataOut.channelList" %channel |
|
118 | raise ValueError, "Channel %d is not in dataOut.channelList" %channel | |
| 118 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
119 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 119 |
|
120 | |||
| 120 | factor = dataOut.normFactor |
|
121 | factor = dataOut.normFactor | |
| 121 |
|
122 | |||
| 122 | x = dataOut.getFreqRange(1)/1000 |
|
123 | if xaxis == "frequency": | |
| 123 |
|
|
124 | x = dataOut.getFreqRange(1)/1000. | |
|
|
125 | xlabel = "Frquency (KHz)" | |||
|
|
126 | ||||
|
|
127 | elif xaxis == "time": | |||
|
|
128 | x = dataOut.getAcfRange(1) | |||
|
|
129 | xlabel = "Time (ms)" | |||
|
|
130 | ||||
|
|
131 | else: | |||
|
|
132 | x = dataOut.getVelRange(1) | |||
|
|
133 | xlabel = "Velocity (m/s)" | |||
|
|
134 | ||||
|
|
135 | ylabel = "Range (Km)" | |||
|
|
136 | ||||
| 124 | y = dataOut.getHeiRange() |
|
137 | y = dataOut.getHeiRange() | |
| 125 |
|
138 | |||
| 126 | z = dataOut.data_spc/factor |
|
139 | z = dataOut.data_spc/factor | |
| 127 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
140 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 128 | zdB = 10*numpy.log10(z) |
|
141 | zdB = 10*numpy.log10(z) | |
| 129 |
|
142 | |||
| 130 | avg = numpy.average(z, axis=1) |
|
143 | avg = numpy.average(z, axis=1) | |
| 131 | avgdB = 10*numpy.log10(avg) |
|
144 | avgdB = 10*numpy.log10(avg) | |
| 132 |
|
145 | |||
| 133 | noise = dataOut.getNoise()/factor |
|
146 | noise = dataOut.getNoise()/factor | |
| 134 | noisedB = 10*numpy.log10(noise) |
|
147 | noisedB = 10*numpy.log10(noise) | |
| 135 |
|
148 | |||
| 136 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
149 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 137 | title = wintitle + " Spectra" |
|
150 | title = wintitle + " Spectra" | |
| 138 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
151 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 139 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
152 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) | |
| 140 |
|
153 | |||
| 141 | xlabel = "Frequency (KHz)" |
|
|||
| 142 | ylabel = "Range (Km)" |
|
|||
| 143 |
|
||||
| 144 | if not self.isConfig: |
|
154 | if not self.isConfig: | |
| 145 |
|
155 | |||
| 146 | nplots = len(channelIndexList) |
|
156 | nplots = len(channelIndexList) | |
| 147 |
|
157 | |||
| 148 | self.setup(id=id, |
|
158 | self.setup(id=id, | |
| 149 | nplots=nplots, |
|
159 | nplots=nplots, | |
| 150 | wintitle=wintitle, |
|
160 | wintitle=wintitle, | |
| 151 | showprofile=showprofile, |
|
161 | showprofile=showprofile, | |
| 152 | show=show) |
|
162 | show=show) | |
| 153 |
|
163 | |||
| 154 | if xmin == None: xmin = numpy.nanmin(x) |
|
164 | if xmin == None: xmin = numpy.nanmin(x) | |
| 155 | if xmax == None: xmax = numpy.nanmax(x) |
|
165 | if xmax == None: xmax = numpy.nanmax(x) | |
| 156 | if ymin == None: ymin = numpy.nanmin(y) |
|
166 | if ymin == None: ymin = numpy.nanmin(y) | |
| 157 | if ymax == None: ymax = numpy.nanmax(y) |
|
167 | if ymax == None: ymax = numpy.nanmax(y) | |
| 158 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
168 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 | |
| 159 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
169 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 | |
| 160 |
|
170 | |||
| 161 | self.FTP_WEI = ftp_wei |
|
171 | self.FTP_WEI = ftp_wei | |
| 162 | self.EXP_CODE = exp_code |
|
172 | self.EXP_CODE = exp_code | |
| 163 | self.SUB_EXP_CODE = sub_exp_code |
|
173 | self.SUB_EXP_CODE = sub_exp_code | |
| 164 | self.PLOT_POS = plot_pos |
|
174 | self.PLOT_POS = plot_pos | |
| 165 |
|
175 | |||
| 166 | self.isConfig = True |
|
176 | self.isConfig = True | |
| 167 |
|
177 | |||
| 168 | self.setWinTitle(title) |
|
178 | self.setWinTitle(title) | |
| 169 |
|
179 | |||
| 170 | for i in range(self.nplots): |
|
180 | for i in range(self.nplots): | |
| 171 | index = channelIndexList[i] |
|
181 | index = channelIndexList[i] | |
| 172 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
182 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 173 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) |
|
183 | title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[index], noisedB[index], str_datetime) | |
| 174 | if len(dataOut.beam.codeList) != 0: |
|
184 | if len(dataOut.beam.codeList) != 0: | |
| 175 | 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) |
|
185 | 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) | |
| 176 |
|
186 | |||
| 177 | axes = self.axesList[i*self.__nsubplots] |
|
187 | axes = self.axesList[i*self.__nsubplots] | |
| 178 | axes.pcolor(x, y, zdB[index,:,:], |
|
188 | axes.pcolor(x, y, zdB[index,:,:], | |
| 179 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
189 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 180 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
190 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 181 | ticksize=9, cblabel='') |
|
191 | ticksize=9, cblabel='') | |
| 182 |
|
192 | |||
| 183 | if self.__showprofile: |
|
193 | if self.__showprofile: | |
| 184 | axes = self.axesList[i*self.__nsubplots +1] |
|
194 | axes = self.axesList[i*self.__nsubplots +1] | |
| 185 | axes.pline(avgdB[index,:], y, |
|
195 | axes.pline(avgdB[index,:], y, | |
| 186 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
196 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
| 187 | xlabel='dB', ylabel='', title='', |
|
197 | xlabel='dB', ylabel='', title='', | |
| 188 | ytick_visible=False, |
|
198 | ytick_visible=False, | |
| 189 | grid='x') |
|
199 | grid='x') | |
| 190 |
|
200 | |||
| 191 | noiseline = numpy.repeat(noisedB[index], len(y)) |
|
201 | noiseline = numpy.repeat(noisedB[index], len(y)) | |
| 192 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) |
|
202 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) | |
| 193 |
|
203 | |||
| 194 | self.draw() |
|
204 | self.draw() | |
| 195 |
|
205 | |||
| 196 | if figfile == None: |
|
206 | if figfile == None: | |
| 197 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
207 | str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 198 | name = str_datetime |
|
208 | name = str_datetime | |
| 199 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
209 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 200 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) |
|
210 | name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith) | |
| 201 | figfile = self.getFilename(name) |
|
211 | figfile = self.getFilename(name) | |
| 202 |
|
212 | |||
| 203 | self.save(figpath=figpath, |
|
213 | self.save(figpath=figpath, | |
| 204 | figfile=figfile, |
|
214 | figfile=figfile, | |
| 205 | save=save, |
|
215 | save=save, | |
| 206 | ftp=ftp, |
|
216 | ftp=ftp, | |
| 207 | wr_period=wr_period, |
|
217 | wr_period=wr_period, | |
| 208 | thisDatetime=thisDatetime) |
|
218 | thisDatetime=thisDatetime) | |
| 209 |
|
219 | |||
| 210 | class CrossSpectraPlot(Figure): |
|
220 | class CrossSpectraPlot(Figure): | |
| 211 |
|
221 | |||
| 212 | isConfig = None |
|
222 | isConfig = None | |
| 213 | __nsubplots = None |
|
223 | __nsubplots = None | |
| 214 |
|
224 | |||
| 215 | WIDTH = None |
|
225 | WIDTH = None | |
| 216 | HEIGHT = None |
|
226 | HEIGHT = None | |
| 217 | WIDTHPROF = None |
|
227 | WIDTHPROF = None | |
| 218 | HEIGHTPROF = None |
|
228 | HEIGHTPROF = None | |
| 219 | PREFIX = 'cspc' |
|
229 | PREFIX = 'cspc' | |
| 220 |
|
230 | |||
| 221 | def __init__(self): |
|
231 | def __init__(self): | |
| 222 |
|
232 | |||
| 223 | self.isConfig = False |
|
233 | self.isConfig = False | |
| 224 | self.__nsubplots = 4 |
|
234 | self.__nsubplots = 4 | |
| 225 | self.counter_imagwr = 0 |
|
235 | self.counter_imagwr = 0 | |
| 226 | self.WIDTH = 250 |
|
236 | self.WIDTH = 250 | |
| 227 | self.HEIGHT = 250 |
|
237 | self.HEIGHT = 250 | |
| 228 | self.WIDTHPROF = 0 |
|
238 | self.WIDTHPROF = 0 | |
| 229 | self.HEIGHTPROF = 0 |
|
239 | self.HEIGHTPROF = 0 | |
| 230 |
|
240 | |||
| 231 | self.PLOT_CODE = CROSS_CODE |
|
241 | self.PLOT_CODE = CROSS_CODE | |
| 232 | self.FTP_WEI = None |
|
242 | self.FTP_WEI = None | |
| 233 | self.EXP_CODE = None |
|
243 | self.EXP_CODE = None | |
| 234 | self.SUB_EXP_CODE = None |
|
244 | self.SUB_EXP_CODE = None | |
| 235 | self.PLOT_POS = None |
|
245 | self.PLOT_POS = None | |
| 236 |
|
246 | |||
| 237 | def getSubplots(self): |
|
247 | def getSubplots(self): | |
| 238 |
|
248 | |||
| 239 | ncol = 4 |
|
249 | ncol = 4 | |
| 240 | nrow = self.nplots |
|
250 | nrow = self.nplots | |
| 241 |
|
251 | |||
| 242 | return nrow, ncol |
|
252 | return nrow, ncol | |
| 243 |
|
253 | |||
| 244 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
254 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 245 |
|
255 | |||
| 246 | self.__showprofile = showprofile |
|
256 | self.__showprofile = showprofile | |
| 247 | self.nplots = nplots |
|
257 | self.nplots = nplots | |
| 248 |
|
258 | |||
| 249 | ncolspan = 1 |
|
259 | ncolspan = 1 | |
| 250 | colspan = 1 |
|
260 | colspan = 1 | |
| 251 |
|
261 | |||
| 252 | self.createFigure(id = id, |
|
262 | self.createFigure(id = id, | |
| 253 | wintitle = wintitle, |
|
263 | wintitle = wintitle, | |
| 254 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
264 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 255 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
265 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 256 | show=True) |
|
266 | show=True) | |
| 257 |
|
267 | |||
| 258 | nrow, ncol = self.getSubplots() |
|
268 | nrow, ncol = self.getSubplots() | |
| 259 |
|
269 | |||
| 260 | counter = 0 |
|
270 | counter = 0 | |
| 261 | for y in range(nrow): |
|
271 | for y in range(nrow): | |
| 262 | for x in range(ncol): |
|
272 | for x in range(ncol): | |
| 263 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
273 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 264 |
|
274 | |||
| 265 | counter += 1 |
|
275 | counter += 1 | |
| 266 |
|
276 | |||
| 267 | def run(self, dataOut, id, wintitle="", pairsList=None, |
|
277 | def run(self, dataOut, id, wintitle="", pairsList=None, | |
| 268 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
278 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 269 | coh_min=None, coh_max=None, phase_min=None, phase_max=None, |
|
279 | coh_min=None, coh_max=None, phase_min=None, phase_max=None, | |
| 270 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, |
|
280 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, | |
| 271 | power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', show=True, |
|
281 | power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', show=True, | |
| 272 | server=None, folder=None, username=None, password=None, |
|
282 | server=None, folder=None, username=None, password=None, | |
| 273 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
283 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 274 |
|
284 | |||
| 275 | """ |
|
285 | """ | |
| 276 |
|
286 | |||
| 277 | Input: |
|
287 | Input: | |
| 278 | dataOut : |
|
288 | dataOut : | |
| 279 | id : |
|
289 | id : | |
| 280 | wintitle : |
|
290 | wintitle : | |
| 281 | channelList : |
|
291 | channelList : | |
| 282 | showProfile : |
|
292 | showProfile : | |
| 283 | xmin : None, |
|
293 | xmin : None, | |
| 284 | xmax : None, |
|
294 | xmax : None, | |
| 285 | ymin : None, |
|
295 | ymin : None, | |
| 286 | ymax : None, |
|
296 | ymax : None, | |
| 287 | zmin : None, |
|
297 | zmin : None, | |
| 288 | zmax : None |
|
298 | zmax : None | |
| 289 | """ |
|
299 | """ | |
| 290 |
|
300 | |||
| 291 | if pairsList == None: |
|
301 | if pairsList == None: | |
| 292 | pairsIndexList = dataOut.pairsIndexList |
|
302 | pairsIndexList = dataOut.pairsIndexList | |
| 293 | else: |
|
303 | else: | |
| 294 | pairsIndexList = [] |
|
304 | pairsIndexList = [] | |
| 295 | for pair in pairsList: |
|
305 | for pair in pairsList: | |
| 296 | if pair not in dataOut.pairsList: |
|
306 | if pair not in dataOut.pairsList: | |
| 297 | raise ValueError, "Pair %s is not in dataOut.pairsList" %str(pair) |
|
307 | raise ValueError, "Pair %s is not in dataOut.pairsList" %str(pair) | |
| 298 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
308 | pairsIndexList.append(dataOut.pairsList.index(pair)) | |
| 299 |
|
309 | |||
| 300 | if not pairsIndexList: |
|
310 | if not pairsIndexList: | |
| 301 | return |
|
311 | return | |
| 302 |
|
312 | |||
| 303 | if len(pairsIndexList) > 4: |
|
313 | if len(pairsIndexList) > 4: | |
| 304 | pairsIndexList = pairsIndexList[0:4] |
|
314 | pairsIndexList = pairsIndexList[0:4] | |
| 305 |
|
315 | |||
| 306 | factor = dataOut.normFactor |
|
316 | factor = dataOut.normFactor | |
| 307 | x = dataOut.getVelRange(1) |
|
317 | x = dataOut.getVelRange(1) | |
| 308 | y = dataOut.getHeiRange() |
|
318 | y = dataOut.getHeiRange() | |
| 309 | z = dataOut.data_spc[:,:,:]/factor |
|
319 | z = dataOut.data_spc[:,:,:]/factor | |
| 310 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
320 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 311 |
|
321 | |||
| 312 | noise = dataOut.noise/factor |
|
322 | noise = dataOut.noise/factor | |
| 313 |
|
323 | |||
| 314 | zdB = 10*numpy.log10(z) |
|
324 | zdB = 10*numpy.log10(z) | |
| 315 | noisedB = 10*numpy.log10(noise) |
|
325 | noisedB = 10*numpy.log10(noise) | |
| 316 |
|
326 | |||
| 317 | if coh_min == None: |
|
327 | if coh_min == None: | |
| 318 | coh_min = 0.0 |
|
328 | coh_min = 0.0 | |
| 319 | if coh_max == None: |
|
329 | if coh_max == None: | |
| 320 | coh_max = 1.0 |
|
330 | coh_max = 1.0 | |
| 321 |
|
331 | |||
| 322 | if phase_min == None: |
|
332 | if phase_min == None: | |
| 323 | phase_min = -180 |
|
333 | phase_min = -180 | |
| 324 | if phase_max == None: |
|
334 | if phase_max == None: | |
| 325 | phase_max = 180 |
|
335 | phase_max = 180 | |
| 326 |
|
336 | |||
| 327 | #thisDatetime = dataOut.datatime |
|
337 | #thisDatetime = dataOut.datatime | |
| 328 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
338 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 329 | title = wintitle + " Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
339 | title = wintitle + " Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 330 | xlabel = "Velocity (m/s)" |
|
340 | xlabel = "Velocity (m/s)" | |
| 331 | ylabel = "Range (Km)" |
|
341 | ylabel = "Range (Km)" | |
| 332 |
|
342 | |||
| 333 | if not self.isConfig: |
|
343 | if not self.isConfig: | |
| 334 |
|
344 | |||
| 335 | nplots = len(pairsIndexList) |
|
345 | nplots = len(pairsIndexList) | |
| 336 |
|
346 | |||
| 337 | self.setup(id=id, |
|
347 | self.setup(id=id, | |
| 338 | nplots=nplots, |
|
348 | nplots=nplots, | |
| 339 | wintitle=wintitle, |
|
349 | wintitle=wintitle, | |
| 340 | showprofile=False, |
|
350 | showprofile=False, | |
| 341 | show=show) |
|
351 | show=show) | |
| 342 |
|
352 | |||
| 343 | avg = numpy.abs(numpy.average(z, axis=1)) |
|
353 | avg = numpy.abs(numpy.average(z, axis=1)) | |
| 344 | avgdB = 10*numpy.log10(avg) |
|
354 | avgdB = 10*numpy.log10(avg) | |
| 345 |
|
355 | |||
| 346 | if xmin == None: xmin = numpy.nanmin(x) |
|
356 | if xmin == None: xmin = numpy.nanmin(x) | |
| 347 | if xmax == None: xmax = numpy.nanmax(x) |
|
357 | if xmax == None: xmax = numpy.nanmax(x) | |
| 348 | if ymin == None: ymin = numpy.nanmin(y) |
|
358 | if ymin == None: ymin = numpy.nanmin(y) | |
| 349 | if ymax == None: ymax = numpy.nanmax(y) |
|
359 | if ymax == None: ymax = numpy.nanmax(y) | |
| 350 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
360 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 | |
| 351 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
361 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 | |
| 352 |
|
362 | |||
| 353 | self.FTP_WEI = ftp_wei |
|
363 | self.FTP_WEI = ftp_wei | |
| 354 | self.EXP_CODE = exp_code |
|
364 | self.EXP_CODE = exp_code | |
| 355 | self.SUB_EXP_CODE = sub_exp_code |
|
365 | self.SUB_EXP_CODE = sub_exp_code | |
| 356 | self.PLOT_POS = plot_pos |
|
366 | self.PLOT_POS = plot_pos | |
| 357 |
|
367 | |||
| 358 | self.isConfig = True |
|
368 | self.isConfig = True | |
| 359 |
|
369 | |||
| 360 | self.setWinTitle(title) |
|
370 | self.setWinTitle(title) | |
| 361 |
|
371 | |||
| 362 | for i in range(self.nplots): |
|
372 | for i in range(self.nplots): | |
| 363 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
373 | pair = dataOut.pairsList[pairsIndexList[i]] | |
| 364 |
|
374 | |||
| 365 | chan_index0 = dataOut.channelList.index(pair[0]) |
|
375 | chan_index0 = dataOut.channelList.index(pair[0]) | |
| 366 | chan_index1 = dataOut.channelList.index(pair[1]) |
|
376 | chan_index1 = dataOut.channelList.index(pair[1]) | |
| 367 |
|
377 | |||
| 368 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) |
|
378 | str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S")) | |
| 369 | title = "Ch%d: %4.2fdB: %s" %(pair[0], noisedB[chan_index0], str_datetime) |
|
379 | title = "Ch%d: %4.2fdB: %s" %(pair[0], noisedB[chan_index0], str_datetime) | |
| 370 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index0,:,:]/factor) |
|
380 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index0,:,:]/factor) | |
| 371 | axes0 = self.axesList[i*self.__nsubplots] |
|
381 | axes0 = self.axesList[i*self.__nsubplots] | |
| 372 | axes0.pcolor(x, y, zdB, |
|
382 | axes0.pcolor(x, y, zdB, | |
| 373 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
383 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 374 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
384 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 375 | ticksize=9, colormap=power_cmap, cblabel='') |
|
385 | ticksize=9, colormap=power_cmap, cblabel='') | |
| 376 |
|
386 | |||
| 377 | title = "Ch%d: %4.2fdB: %s" %(pair[1], noisedB[chan_index1], str_datetime) |
|
387 | title = "Ch%d: %4.2fdB: %s" %(pair[1], noisedB[chan_index1], str_datetime) | |
| 378 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index1,:,:]/factor) |
|
388 | zdB = 10.*numpy.log10(dataOut.data_spc[chan_index1,:,:]/factor) | |
| 379 | axes0 = self.axesList[i*self.__nsubplots+1] |
|
389 | axes0 = self.axesList[i*self.__nsubplots+1] | |
| 380 | axes0.pcolor(x, y, zdB, |
|
390 | axes0.pcolor(x, y, zdB, | |
| 381 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
391 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 382 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
392 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 383 | ticksize=9, colormap=power_cmap, cblabel='') |
|
393 | ticksize=9, colormap=power_cmap, cblabel='') | |
| 384 |
|
394 | |||
| 385 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[chan_index0,:,:]*dataOut.data_spc[chan_index1,:,:]) |
|
395 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[chan_index0,:,:]*dataOut.data_spc[chan_index1,:,:]) | |
| 386 | coherence = numpy.abs(coherenceComplex) |
|
396 | coherence = numpy.abs(coherenceComplex) | |
| 387 | # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi |
|
397 | # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi | |
| 388 | phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi |
|
398 | phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi | |
| 389 |
|
399 | |||
| 390 | title = "Coherence Ch%d * Ch%d" %(pair[0], pair[1]) |
|
400 | title = "Coherence Ch%d * Ch%d" %(pair[0], pair[1]) | |
| 391 | axes0 = self.axesList[i*self.__nsubplots+2] |
|
401 | axes0 = self.axesList[i*self.__nsubplots+2] | |
| 392 | axes0.pcolor(x, y, coherence, |
|
402 | axes0.pcolor(x, y, coherence, | |
| 393 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=coh_min, zmax=coh_max, |
|
403 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=coh_min, zmax=coh_max, | |
| 394 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
404 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 395 | ticksize=9, colormap=coherence_cmap, cblabel='') |
|
405 | ticksize=9, colormap=coherence_cmap, cblabel='') | |
| 396 |
|
406 | |||
| 397 | title = "Phase Ch%d * Ch%d" %(pair[0], pair[1]) |
|
407 | title = "Phase Ch%d * Ch%d" %(pair[0], pair[1]) | |
| 398 | axes0 = self.axesList[i*self.__nsubplots+3] |
|
408 | axes0 = self.axesList[i*self.__nsubplots+3] | |
| 399 | axes0.pcolor(x, y, phase, |
|
409 | axes0.pcolor(x, y, phase, | |
| 400 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, |
|
410 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, | |
| 401 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
411 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 402 | ticksize=9, colormap=phase_cmap, cblabel='') |
|
412 | ticksize=9, colormap=phase_cmap, cblabel='') | |
| 403 |
|
413 | |||
| 404 |
|
414 | |||
| 405 |
|
415 | |||
| 406 | self.draw() |
|
416 | self.draw() | |
| 407 |
|
417 | |||
| 408 | self.save(figpath=figpath, |
|
418 | self.save(figpath=figpath, | |
| 409 | figfile=figfile, |
|
419 | figfile=figfile, | |
| 410 | save=save, |
|
420 | save=save, | |
| 411 | ftp=ftp, |
|
421 | ftp=ftp, | |
| 412 | wr_period=wr_period, |
|
422 | wr_period=wr_period, | |
| 413 | thisDatetime=thisDatetime) |
|
423 | thisDatetime=thisDatetime) | |
| 414 |
|
424 | |||
| 415 |
|
425 | |||
| 416 | class RTIPlot(Figure): |
|
426 | class RTIPlot(Figure): | |
| 417 |
|
427 | |||
| 418 | __isConfig = None |
|
428 | __isConfig = None | |
| 419 | __nsubplots = None |
|
429 | __nsubplots = None | |
| 420 |
|
430 | |||
| 421 | WIDTHPROF = None |
|
431 | WIDTHPROF = None | |
| 422 | HEIGHTPROF = None |
|
432 | HEIGHTPROF = None | |
| 423 | PREFIX = 'rti' |
|
433 | PREFIX = 'rti' | |
| 424 |
|
434 | |||
| 425 | def __init__(self): |
|
435 | def __init__(self): | |
| 426 |
|
436 | |||
| 427 | self.timerange = None |
|
437 | self.timerange = None | |
| 428 | self.isConfig = False |
|
438 | self.isConfig = False | |
| 429 | self.__nsubplots = 1 |
|
439 | self.__nsubplots = 1 | |
| 430 |
|
440 | |||
| 431 | self.WIDTH = 800 |
|
441 | self.WIDTH = 800 | |
| 432 | self.HEIGHT = 180 |
|
442 | self.HEIGHT = 180 | |
| 433 | self.WIDTHPROF = 120 |
|
443 | self.WIDTHPROF = 120 | |
| 434 | self.HEIGHTPROF = 0 |
|
444 | self.HEIGHTPROF = 0 | |
| 435 | self.counter_imagwr = 0 |
|
445 | self.counter_imagwr = 0 | |
| 436 |
|
446 | |||
| 437 | self.PLOT_CODE = RTI_CODE |
|
447 | self.PLOT_CODE = RTI_CODE | |
| 438 |
|
448 | |||
| 439 | self.FTP_WEI = None |
|
449 | self.FTP_WEI = None | |
| 440 | self.EXP_CODE = None |
|
450 | self.EXP_CODE = None | |
| 441 | self.SUB_EXP_CODE = None |
|
451 | self.SUB_EXP_CODE = None | |
| 442 | self.PLOT_POS = None |
|
452 | self.PLOT_POS = None | |
| 443 | self.tmin = None |
|
453 | self.tmin = None | |
| 444 | self.tmax = None |
|
454 | self.tmax = None | |
| 445 |
|
455 | |||
| 446 | self.xmin = None |
|
456 | self.xmin = None | |
| 447 | self.xmax = None |
|
457 | self.xmax = None | |
| 448 |
|
458 | |||
| 449 | self.figfile = None |
|
459 | self.figfile = None | |
| 450 |
|
460 | |||
| 451 | def getSubplots(self): |
|
461 | def getSubplots(self): | |
| 452 |
|
462 | |||
| 453 | ncol = 1 |
|
463 | ncol = 1 | |
| 454 | nrow = self.nplots |
|
464 | nrow = self.nplots | |
| 455 |
|
465 | |||
| 456 | return nrow, ncol |
|
466 | return nrow, ncol | |
| 457 |
|
467 | |||
| 458 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
468 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 459 |
|
469 | |||
| 460 | self.__showprofile = showprofile |
|
470 | self.__showprofile = showprofile | |
| 461 | self.nplots = nplots |
|
471 | self.nplots = nplots | |
| 462 |
|
472 | |||
| 463 | ncolspan = 1 |
|
473 | ncolspan = 1 | |
| 464 | colspan = 1 |
|
474 | colspan = 1 | |
| 465 | if showprofile: |
|
475 | if showprofile: | |
| 466 | ncolspan = 7 |
|
476 | ncolspan = 7 | |
| 467 | colspan = 6 |
|
477 | colspan = 6 | |
| 468 | self.__nsubplots = 2 |
|
478 | self.__nsubplots = 2 | |
| 469 |
|
479 | |||
| 470 | self.createFigure(id = id, |
|
480 | self.createFigure(id = id, | |
| 471 | wintitle = wintitle, |
|
481 | wintitle = wintitle, | |
| 472 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
482 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 473 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
483 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 474 | show=show) |
|
484 | show=show) | |
| 475 |
|
485 | |||
| 476 | nrow, ncol = self.getSubplots() |
|
486 | nrow, ncol = self.getSubplots() | |
| 477 |
|
487 | |||
| 478 | counter = 0 |
|
488 | counter = 0 | |
| 479 | for y in range(nrow): |
|
489 | for y in range(nrow): | |
| 480 | for x in range(ncol): |
|
490 | for x in range(ncol): | |
| 481 |
|
491 | |||
| 482 | if counter >= self.nplots: |
|
492 | if counter >= self.nplots: | |
| 483 | break |
|
493 | break | |
| 484 |
|
494 | |||
| 485 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
495 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 486 |
|
496 | |||
| 487 | if showprofile: |
|
497 | if showprofile: | |
| 488 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
498 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 489 |
|
499 | |||
| 490 | counter += 1 |
|
500 | counter += 1 | |
| 491 |
|
501 | |||
| 492 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
502 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', | |
| 493 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
503 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 494 | timerange=None, |
|
504 | timerange=None, | |
| 495 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, |
|
505 | save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True, | |
| 496 | server=None, folder=None, username=None, password=None, |
|
506 | server=None, folder=None, username=None, password=None, | |
| 497 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
507 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 498 |
|
508 | |||
| 499 | """ |
|
509 | """ | |
| 500 |
|
510 | |||
| 501 | Input: |
|
511 | Input: | |
| 502 | dataOut : |
|
512 | dataOut : | |
| 503 | id : |
|
513 | id : | |
| 504 | wintitle : |
|
514 | wintitle : | |
| 505 | channelList : |
|
515 | channelList : | |
| 506 | showProfile : |
|
516 | showProfile : | |
| 507 | xmin : None, |
|
517 | xmin : None, | |
| 508 | xmax : None, |
|
518 | xmax : None, | |
| 509 | ymin : None, |
|
519 | ymin : None, | |
| 510 | ymax : None, |
|
520 | ymax : None, | |
| 511 | zmin : None, |
|
521 | zmin : None, | |
| 512 | zmax : None |
|
522 | zmax : None | |
| 513 | """ |
|
523 | """ | |
| 514 |
|
524 | |||
| 515 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
525 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
| 516 | return |
|
526 | return | |
| 517 |
|
527 | |||
| 518 | if channelList == None: |
|
528 | if channelList == None: | |
| 519 | channelIndexList = dataOut.channelIndexList |
|
529 | channelIndexList = dataOut.channelIndexList | |
| 520 | else: |
|
530 | else: | |
| 521 | channelIndexList = [] |
|
531 | channelIndexList = [] | |
| 522 | for channel in channelList: |
|
532 | for channel in channelList: | |
| 523 | if channel not in dataOut.channelList: |
|
533 | if channel not in dataOut.channelList: | |
| 524 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
534 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 525 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
535 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 526 |
|
536 | |||
| 527 | factor = dataOut.normFactor |
|
537 | factor = dataOut.normFactor | |
| 528 | x = dataOut.getTimeRange() |
|
538 | x = dataOut.getTimeRange() | |
| 529 | y = dataOut.getHeiRange() |
|
539 | y = dataOut.getHeiRange() | |
| 530 |
|
540 | |||
| 531 | z = dataOut.data_spc/factor |
|
541 | z = dataOut.data_spc/factor | |
| 532 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
542 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 533 | avg = numpy.average(z, axis=1) |
|
543 | avg = numpy.average(z, axis=1) | |
| 534 |
|
544 | |||
| 535 | avgdB = 10.*numpy.log10(avg) |
|
545 | avgdB = 10.*numpy.log10(avg) | |
| 536 |
|
546 | |||
| 537 | thisDatetime = dataOut.datatime |
|
547 | thisDatetime = dataOut.datatime | |
| 538 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
548 | # thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 539 | title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
549 | title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 540 | xlabel = "" |
|
550 | xlabel = "" | |
| 541 | ylabel = "Range (Km)" |
|
551 | ylabel = "Range (Km)" | |
| 542 |
|
552 | |||
| 543 | update_figfile = False |
|
553 | update_figfile = False | |
| 544 |
|
554 | |||
| 545 | if not self.isConfig: |
|
555 | if not self.isConfig: | |
| 546 |
|
556 | |||
| 547 | nplots = len(channelIndexList) |
|
557 | nplots = len(channelIndexList) | |
| 548 |
|
558 | |||
| 549 | self.setup(id=id, |
|
559 | self.setup(id=id, | |
| 550 | nplots=nplots, |
|
560 | nplots=nplots, | |
| 551 | wintitle=wintitle, |
|
561 | wintitle=wintitle, | |
| 552 | showprofile=showprofile, |
|
562 | showprofile=showprofile, | |
| 553 | show=show) |
|
563 | show=show) | |
| 554 |
|
564 | |||
| 555 | if timerange != None: |
|
565 | if timerange != None: | |
| 556 | self.timerange = timerange |
|
566 | self.timerange = timerange | |
| 557 |
|
567 | |||
| 558 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
568 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 559 |
|
569 | |||
| 560 | noise = dataOut.noise/factor |
|
570 | noise = dataOut.noise/factor | |
| 561 | noisedB = 10*numpy.log10(noise) |
|
571 | noisedB = 10*numpy.log10(noise) | |
| 562 |
|
572 | |||
| 563 | if ymin == None: ymin = numpy.nanmin(y) |
|
573 | if ymin == None: ymin = numpy.nanmin(y) | |
| 564 | if ymax == None: ymax = numpy.nanmax(y) |
|
574 | if ymax == None: ymax = numpy.nanmax(y) | |
| 565 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 |
|
575 | if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3 | |
| 566 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 |
|
576 | if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3 | |
| 567 |
|
577 | |||
| 568 | self.FTP_WEI = ftp_wei |
|
578 | self.FTP_WEI = ftp_wei | |
| 569 | self.EXP_CODE = exp_code |
|
579 | self.EXP_CODE = exp_code | |
| 570 | self.SUB_EXP_CODE = sub_exp_code |
|
580 | self.SUB_EXP_CODE = sub_exp_code | |
| 571 | self.PLOT_POS = plot_pos |
|
581 | self.PLOT_POS = plot_pos | |
| 572 |
|
582 | |||
| 573 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
583 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 574 | self.isConfig = True |
|
584 | self.isConfig = True | |
| 575 | self.figfile = figfile |
|
585 | self.figfile = figfile | |
| 576 | update_figfile = True |
|
586 | update_figfile = True | |
| 577 |
|
587 | |||
| 578 | self.setWinTitle(title) |
|
588 | self.setWinTitle(title) | |
| 579 |
|
589 | |||
| 580 | for i in range(self.nplots): |
|
590 | for i in range(self.nplots): | |
| 581 | index = channelIndexList[i] |
|
591 | index = channelIndexList[i] | |
| 582 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
592 | title = "Channel %d: %s" %(dataOut.channelList[index], thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 583 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): |
|
593 | if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)): | |
| 584 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) |
|
594 | title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith) | |
| 585 | axes = self.axesList[i*self.__nsubplots] |
|
595 | axes = self.axesList[i*self.__nsubplots] | |
| 586 | zdB = avgdB[index].reshape((1,-1)) |
|
596 | zdB = avgdB[index].reshape((1,-1)) | |
| 587 | axes.pcolorbuffer(x, y, zdB, |
|
597 | axes.pcolorbuffer(x, y, zdB, | |
| 588 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
598 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 589 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
599 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 590 | ticksize=9, cblabel='', cbsize="1%") |
|
600 | ticksize=9, cblabel='', cbsize="1%") | |
| 591 |
|
601 | |||
| 592 | if self.__showprofile: |
|
602 | if self.__showprofile: | |
| 593 | axes = self.axesList[i*self.__nsubplots +1] |
|
603 | axes = self.axesList[i*self.__nsubplots +1] | |
| 594 | axes.pline(avgdB[index], y, |
|
604 | axes.pline(avgdB[index], y, | |
| 595 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
605 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
| 596 | xlabel='dB', ylabel='', title='', |
|
606 | xlabel='dB', ylabel='', title='', | |
| 597 | ytick_visible=False, |
|
607 | ytick_visible=False, | |
| 598 | grid='x') |
|
608 | grid='x') | |
| 599 |
|
609 | |||
| 600 | self.draw() |
|
610 | self.draw() | |
| 601 |
|
611 | |||
| 602 | if dataOut.ltctime >= self.xmax: |
|
612 | if dataOut.ltctime >= self.xmax: | |
| 603 | self.counter_imagwr = wr_period |
|
613 | self.counter_imagwr = wr_period | |
| 604 | self.isConfig = False |
|
614 | self.isConfig = False | |
| 605 | update_figfile = True |
|
615 | update_figfile = True | |
| 606 |
|
616 | |||
| 607 | self.save(figpath=figpath, |
|
617 | self.save(figpath=figpath, | |
| 608 | figfile=figfile, |
|
618 | figfile=figfile, | |
| 609 | save=save, |
|
619 | save=save, | |
| 610 | ftp=ftp, |
|
620 | ftp=ftp, | |
| 611 | wr_period=wr_period, |
|
621 | wr_period=wr_period, | |
| 612 | thisDatetime=thisDatetime, |
|
622 | thisDatetime=thisDatetime, | |
| 613 | update_figfile=update_figfile) |
|
623 | update_figfile=update_figfile) | |
| 614 |
|
624 | |||
| 615 | class CoherenceMap(Figure): |
|
625 | class CoherenceMap(Figure): | |
| 616 | isConfig = None |
|
626 | isConfig = None | |
| 617 | __nsubplots = None |
|
627 | __nsubplots = None | |
| 618 |
|
628 | |||
| 619 | WIDTHPROF = None |
|
629 | WIDTHPROF = None | |
| 620 | HEIGHTPROF = None |
|
630 | HEIGHTPROF = None | |
| 621 | PREFIX = 'cmap' |
|
631 | PREFIX = 'cmap' | |
| 622 |
|
632 | |||
| 623 | def __init__(self): |
|
633 | def __init__(self): | |
| 624 | self.timerange = 2*60*60 |
|
634 | self.timerange = 2*60*60 | |
| 625 | self.isConfig = False |
|
635 | self.isConfig = False | |
| 626 | self.__nsubplots = 1 |
|
636 | self.__nsubplots = 1 | |
| 627 |
|
637 | |||
| 628 | self.WIDTH = 800 |
|
638 | self.WIDTH = 800 | |
| 629 | self.HEIGHT = 180 |
|
639 | self.HEIGHT = 180 | |
| 630 | self.WIDTHPROF = 120 |
|
640 | self.WIDTHPROF = 120 | |
| 631 | self.HEIGHTPROF = 0 |
|
641 | self.HEIGHTPROF = 0 | |
| 632 | self.counter_imagwr = 0 |
|
642 | self.counter_imagwr = 0 | |
| 633 |
|
643 | |||
| 634 | self.PLOT_CODE = COH_CODE |
|
644 | self.PLOT_CODE = COH_CODE | |
| 635 |
|
645 | |||
| 636 | self.FTP_WEI = None |
|
646 | self.FTP_WEI = None | |
| 637 | self.EXP_CODE = None |
|
647 | self.EXP_CODE = None | |
| 638 | self.SUB_EXP_CODE = None |
|
648 | self.SUB_EXP_CODE = None | |
| 639 | self.PLOT_POS = None |
|
649 | self.PLOT_POS = None | |
| 640 | self.counter_imagwr = 0 |
|
650 | self.counter_imagwr = 0 | |
| 641 |
|
651 | |||
| 642 | self.xmin = None |
|
652 | self.xmin = None | |
| 643 | self.xmax = None |
|
653 | self.xmax = None | |
| 644 |
|
654 | |||
| 645 | def getSubplots(self): |
|
655 | def getSubplots(self): | |
| 646 | ncol = 1 |
|
656 | ncol = 1 | |
| 647 | nrow = self.nplots*2 |
|
657 | nrow = self.nplots*2 | |
| 648 |
|
658 | |||
| 649 | return nrow, ncol |
|
659 | return nrow, ncol | |
| 650 |
|
660 | |||
| 651 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
661 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 652 | self.__showprofile = showprofile |
|
662 | self.__showprofile = showprofile | |
| 653 | self.nplots = nplots |
|
663 | self.nplots = nplots | |
| 654 |
|
664 | |||
| 655 | ncolspan = 1 |
|
665 | ncolspan = 1 | |
| 656 | colspan = 1 |
|
666 | colspan = 1 | |
| 657 | if showprofile: |
|
667 | if showprofile: | |
| 658 | ncolspan = 7 |
|
668 | ncolspan = 7 | |
| 659 | colspan = 6 |
|
669 | colspan = 6 | |
| 660 | self.__nsubplots = 2 |
|
670 | self.__nsubplots = 2 | |
| 661 |
|
671 | |||
| 662 | self.createFigure(id = id, |
|
672 | self.createFigure(id = id, | |
| 663 | wintitle = wintitle, |
|
673 | wintitle = wintitle, | |
| 664 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
674 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 665 | heightplot = self.HEIGHT + self.HEIGHTPROF, |
|
675 | heightplot = self.HEIGHT + self.HEIGHTPROF, | |
| 666 | show=True) |
|
676 | show=True) | |
| 667 |
|
677 | |||
| 668 | nrow, ncol = self.getSubplots() |
|
678 | nrow, ncol = self.getSubplots() | |
| 669 |
|
679 | |||
| 670 | for y in range(nrow): |
|
680 | for y in range(nrow): | |
| 671 | for x in range(ncol): |
|
681 | for x in range(ncol): | |
| 672 |
|
682 | |||
| 673 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
683 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 674 |
|
684 | |||
| 675 | if showprofile: |
|
685 | if showprofile: | |
| 676 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
686 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 677 |
|
687 | |||
| 678 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
688 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', | |
| 679 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
689 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 680 | timerange=None, phase_min=None, phase_max=None, |
|
690 | timerange=None, phase_min=None, phase_max=None, | |
| 681 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, |
|
691 | save=False, figpath='./', figfile=None, ftp=False, wr_period=1, | |
| 682 | coherence_cmap='jet', phase_cmap='RdBu_r', show=True, |
|
692 | coherence_cmap='jet', phase_cmap='RdBu_r', show=True, | |
| 683 | server=None, folder=None, username=None, password=None, |
|
693 | server=None, folder=None, username=None, password=None, | |
| 684 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
694 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 685 |
|
695 | |||
| 686 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
696 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
| 687 | return |
|
697 | return | |
| 688 |
|
698 | |||
| 689 | if pairsList == None: |
|
699 | if pairsList == None: | |
| 690 | pairsIndexList = dataOut.pairsIndexList |
|
700 | pairsIndexList = dataOut.pairsIndexList | |
| 691 | else: |
|
701 | else: | |
| 692 | pairsIndexList = [] |
|
702 | pairsIndexList = [] | |
| 693 | for pair in pairsList: |
|
703 | for pair in pairsList: | |
| 694 | if pair not in dataOut.pairsList: |
|
704 | if pair not in dataOut.pairsList: | |
| 695 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
705 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) | |
| 696 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
706 | pairsIndexList.append(dataOut.pairsList.index(pair)) | |
| 697 |
|
707 | |||
| 698 | if pairsIndexList == []: |
|
708 | if pairsIndexList == []: | |
| 699 | return |
|
709 | return | |
| 700 |
|
710 | |||
| 701 | if len(pairsIndexList) > 4: |
|
711 | if len(pairsIndexList) > 4: | |
| 702 | pairsIndexList = pairsIndexList[0:4] |
|
712 | pairsIndexList = pairsIndexList[0:4] | |
| 703 |
|
713 | |||
| 704 | if phase_min == None: |
|
714 | if phase_min == None: | |
| 705 | phase_min = -180 |
|
715 | phase_min = -180 | |
| 706 | if phase_max == None: |
|
716 | if phase_max == None: | |
| 707 | phase_max = 180 |
|
717 | phase_max = 180 | |
| 708 |
|
718 | |||
| 709 | x = dataOut.getTimeRange() |
|
719 | x = dataOut.getTimeRange() | |
| 710 | y = dataOut.getHeiRange() |
|
720 | y = dataOut.getHeiRange() | |
| 711 |
|
721 | |||
| 712 | thisDatetime = dataOut.datatime |
|
722 | thisDatetime = dataOut.datatime | |
| 713 |
|
723 | |||
| 714 | title = wintitle + " CoherenceMap" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
724 | title = wintitle + " CoherenceMap" #: %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 715 | xlabel = "" |
|
725 | xlabel = "" | |
| 716 | ylabel = "Range (Km)" |
|
726 | ylabel = "Range (Km)" | |
| 717 | update_figfile = False |
|
727 | update_figfile = False | |
| 718 |
|
728 | |||
| 719 | if not self.isConfig: |
|
729 | if not self.isConfig: | |
| 720 | nplots = len(pairsIndexList) |
|
730 | nplots = len(pairsIndexList) | |
| 721 | self.setup(id=id, |
|
731 | self.setup(id=id, | |
| 722 | nplots=nplots, |
|
732 | nplots=nplots, | |
| 723 | wintitle=wintitle, |
|
733 | wintitle=wintitle, | |
| 724 | showprofile=showprofile, |
|
734 | showprofile=showprofile, | |
| 725 | show=show) |
|
735 | show=show) | |
| 726 |
|
736 | |||
| 727 | if timerange != None: |
|
737 | if timerange != None: | |
| 728 | self.timerange = timerange |
|
738 | self.timerange = timerange | |
| 729 |
|
739 | |||
| 730 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
740 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 731 |
|
741 | |||
| 732 | if ymin == None: ymin = numpy.nanmin(y) |
|
742 | if ymin == None: ymin = numpy.nanmin(y) | |
| 733 | if ymax == None: ymax = numpy.nanmax(y) |
|
743 | if ymax == None: ymax = numpy.nanmax(y) | |
| 734 | if zmin == None: zmin = 0. |
|
744 | if zmin == None: zmin = 0. | |
| 735 | if zmax == None: zmax = 1. |
|
745 | if zmax == None: zmax = 1. | |
| 736 |
|
746 | |||
| 737 | self.FTP_WEI = ftp_wei |
|
747 | self.FTP_WEI = ftp_wei | |
| 738 | self.EXP_CODE = exp_code |
|
748 | self.EXP_CODE = exp_code | |
| 739 | self.SUB_EXP_CODE = sub_exp_code |
|
749 | self.SUB_EXP_CODE = sub_exp_code | |
| 740 | self.PLOT_POS = plot_pos |
|
750 | self.PLOT_POS = plot_pos | |
| 741 |
|
751 | |||
| 742 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
752 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 743 |
|
753 | |||
| 744 | self.isConfig = True |
|
754 | self.isConfig = True | |
| 745 | update_figfile = True |
|
755 | update_figfile = True | |
| 746 |
|
756 | |||
| 747 | self.setWinTitle(title) |
|
757 | self.setWinTitle(title) | |
| 748 |
|
758 | |||
| 749 | for i in range(self.nplots): |
|
759 | for i in range(self.nplots): | |
| 750 |
|
760 | |||
| 751 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
761 | pair = dataOut.pairsList[pairsIndexList[i]] | |
| 752 |
|
762 | |||
| 753 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0) |
|
763 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0) | |
| 754 | powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0) |
|
764 | powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0) | |
| 755 | powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0) |
|
765 | powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0) | |
| 756 |
|
766 | |||
| 757 |
|
767 | |||
| 758 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
768 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) | |
| 759 | coherence = numpy.abs(avgcoherenceComplex) |
|
769 | coherence = numpy.abs(avgcoherenceComplex) | |
| 760 |
|
770 | |||
| 761 | z = coherence.reshape((1,-1)) |
|
771 | z = coherence.reshape((1,-1)) | |
| 762 |
|
772 | |||
| 763 | counter = 0 |
|
773 | counter = 0 | |
| 764 |
|
774 | |||
| 765 | title = "Coherence Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
775 | title = "Coherence Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 766 | axes = self.axesList[i*self.__nsubplots*2] |
|
776 | axes = self.axesList[i*self.__nsubplots*2] | |
| 767 | axes.pcolorbuffer(x, y, z, |
|
777 | axes.pcolorbuffer(x, y, z, | |
| 768 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
778 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 769 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
779 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 770 | ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%") |
|
780 | ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%") | |
| 771 |
|
781 | |||
| 772 | if self.__showprofile: |
|
782 | if self.__showprofile: | |
| 773 | counter += 1 |
|
783 | counter += 1 | |
| 774 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
784 | axes = self.axesList[i*self.__nsubplots*2 + counter] | |
| 775 | axes.pline(coherence, y, |
|
785 | axes.pline(coherence, y, | |
| 776 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
786 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
| 777 | xlabel='', ylabel='', title='', ticksize=7, |
|
787 | xlabel='', ylabel='', title='', ticksize=7, | |
| 778 | ytick_visible=False, nxticks=5, |
|
788 | ytick_visible=False, nxticks=5, | |
| 779 | grid='x') |
|
789 | grid='x') | |
| 780 |
|
790 | |||
| 781 | counter += 1 |
|
791 | counter += 1 | |
| 782 |
|
792 | |||
| 783 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
793 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi | |
| 784 |
|
794 | |||
| 785 | z = phase.reshape((1,-1)) |
|
795 | z = phase.reshape((1,-1)) | |
| 786 |
|
796 | |||
| 787 | title = "Phase Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
797 | title = "Phase Ch%d * Ch%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 788 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
798 | axes = self.axesList[i*self.__nsubplots*2 + counter] | |
| 789 | axes.pcolorbuffer(x, y, z, |
|
799 | axes.pcolorbuffer(x, y, z, | |
| 790 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, |
|
800 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max, | |
| 791 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
801 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 792 | ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%") |
|
802 | ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%") | |
| 793 |
|
803 | |||
| 794 | if self.__showprofile: |
|
804 | if self.__showprofile: | |
| 795 | counter += 1 |
|
805 | counter += 1 | |
| 796 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
806 | axes = self.axesList[i*self.__nsubplots*2 + counter] | |
| 797 | axes.pline(phase, y, |
|
807 | axes.pline(phase, y, | |
| 798 | xmin=phase_min, xmax=phase_max, ymin=ymin, ymax=ymax, |
|
808 | xmin=phase_min, xmax=phase_max, ymin=ymin, ymax=ymax, | |
| 799 | xlabel='', ylabel='', title='', ticksize=7, |
|
809 | xlabel='', ylabel='', title='', ticksize=7, | |
| 800 | ytick_visible=False, nxticks=4, |
|
810 | ytick_visible=False, nxticks=4, | |
| 801 | grid='x') |
|
811 | grid='x') | |
| 802 |
|
812 | |||
| 803 | self.draw() |
|
813 | self.draw() | |
| 804 |
|
814 | |||
| 805 | if dataOut.ltctime >= self.xmax: |
|
815 | if dataOut.ltctime >= self.xmax: | |
| 806 | self.counter_imagwr = wr_period |
|
816 | self.counter_imagwr = wr_period | |
| 807 | self.isConfig = False |
|
817 | self.isConfig = False | |
| 808 | update_figfile = True |
|
818 | update_figfile = True | |
| 809 |
|
819 | |||
| 810 | self.save(figpath=figpath, |
|
820 | self.save(figpath=figpath, | |
| 811 | figfile=figfile, |
|
821 | figfile=figfile, | |
| 812 | save=save, |
|
822 | save=save, | |
| 813 | ftp=ftp, |
|
823 | ftp=ftp, | |
| 814 | wr_period=wr_period, |
|
824 | wr_period=wr_period, | |
| 815 | thisDatetime=thisDatetime, |
|
825 | thisDatetime=thisDatetime, | |
| 816 | update_figfile=update_figfile) |
|
826 | update_figfile=update_figfile) | |
| 817 |
|
827 | |||
| 818 | class PowerProfilePlot(Figure): |
|
828 | class PowerProfilePlot(Figure): | |
| 819 |
|
829 | |||
| 820 | isConfig = None |
|
830 | isConfig = None | |
| 821 | __nsubplots = None |
|
831 | __nsubplots = None | |
| 822 |
|
832 | |||
| 823 | WIDTHPROF = None |
|
833 | WIDTHPROF = None | |
| 824 | HEIGHTPROF = None |
|
834 | HEIGHTPROF = None | |
| 825 | PREFIX = 'spcprofile' |
|
835 | PREFIX = 'spcprofile' | |
| 826 |
|
836 | |||
| 827 | def __init__(self): |
|
837 | def __init__(self): | |
| 828 | self.isConfig = False |
|
838 | self.isConfig = False | |
| 829 | self.__nsubplots = 1 |
|
839 | self.__nsubplots = 1 | |
| 830 |
|
840 | |||
| 831 | self.PLOT_CODE = POWER_CODE |
|
841 | self.PLOT_CODE = POWER_CODE | |
| 832 |
|
842 | |||
| 833 | self.WIDTH = 300 |
|
843 | self.WIDTH = 300 | |
| 834 | self.HEIGHT = 500 |
|
844 | self.HEIGHT = 500 | |
| 835 | self.counter_imagwr = 0 |
|
845 | self.counter_imagwr = 0 | |
| 836 |
|
846 | |||
| 837 | def getSubplots(self): |
|
847 | def getSubplots(self): | |
| 838 | ncol = 1 |
|
848 | ncol = 1 | |
| 839 | nrow = 1 |
|
849 | nrow = 1 | |
| 840 |
|
850 | |||
| 841 | return nrow, ncol |
|
851 | return nrow, ncol | |
| 842 |
|
852 | |||
| 843 | def setup(self, id, nplots, wintitle, show): |
|
853 | def setup(self, id, nplots, wintitle, show): | |
| 844 |
|
854 | |||
| 845 | self.nplots = nplots |
|
855 | self.nplots = nplots | |
| 846 |
|
856 | |||
| 847 | ncolspan = 1 |
|
857 | ncolspan = 1 | |
| 848 | colspan = 1 |
|
858 | colspan = 1 | |
| 849 |
|
859 | |||
| 850 | self.createFigure(id = id, |
|
860 | self.createFigure(id = id, | |
| 851 | wintitle = wintitle, |
|
861 | wintitle = wintitle, | |
| 852 | widthplot = self.WIDTH, |
|
862 | widthplot = self.WIDTH, | |
| 853 | heightplot = self.HEIGHT, |
|
863 | heightplot = self.HEIGHT, | |
| 854 | show=show) |
|
864 | show=show) | |
| 855 |
|
865 | |||
| 856 | nrow, ncol = self.getSubplots() |
|
866 | nrow, ncol = self.getSubplots() | |
| 857 |
|
867 | |||
| 858 | counter = 0 |
|
868 | counter = 0 | |
| 859 | for y in range(nrow): |
|
869 | for y in range(nrow): | |
| 860 | for x in range(ncol): |
|
870 | for x in range(ncol): | |
| 861 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
871 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 862 |
|
872 | |||
| 863 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
873 | def run(self, dataOut, id, wintitle="", channelList=None, | |
| 864 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
874 | xmin=None, xmax=None, ymin=None, ymax=None, | |
| 865 | save=False, figpath='./', figfile=None, show=True, |
|
875 | save=False, figpath='./', figfile=None, show=True, | |
| 866 | ftp=False, wr_period=1, server=None, |
|
876 | ftp=False, wr_period=1, server=None, | |
| 867 | folder=None, username=None, password=None): |
|
877 | folder=None, username=None, password=None): | |
| 868 |
|
878 | |||
| 869 |
|
879 | |||
| 870 | if channelList == None: |
|
880 | if channelList == None: | |
| 871 | channelIndexList = dataOut.channelIndexList |
|
881 | channelIndexList = dataOut.channelIndexList | |
| 872 | channelList = dataOut.channelList |
|
882 | channelList = dataOut.channelList | |
| 873 | else: |
|
883 | else: | |
| 874 | channelIndexList = [] |
|
884 | channelIndexList = [] | |
| 875 | for channel in channelList: |
|
885 | for channel in channelList: | |
| 876 | if channel not in dataOut.channelList: |
|
886 | if channel not in dataOut.channelList: | |
| 877 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
887 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 878 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
888 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 879 |
|
889 | |||
| 880 | factor = dataOut.normFactor |
|
890 | factor = dataOut.normFactor | |
| 881 |
|
891 | |||
| 882 | y = dataOut.getHeiRange() |
|
892 | y = dataOut.getHeiRange() | |
| 883 |
|
893 | |||
| 884 | #for voltage |
|
894 | #for voltage | |
| 885 | if dataOut.type == 'Voltage': |
|
895 | if dataOut.type == 'Voltage': | |
| 886 | x = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) |
|
896 | x = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) | |
| 887 | x = x.real |
|
897 | x = x.real | |
| 888 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
898 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) | |
| 889 |
|
899 | |||
| 890 | #for spectra |
|
900 | #for spectra | |
| 891 | if dataOut.type == 'Spectra': |
|
901 | if dataOut.type == 'Spectra': | |
| 892 | x = dataOut.data_spc[channelIndexList,:,:]/factor |
|
902 | x = dataOut.data_spc[channelIndexList,:,:]/factor | |
| 893 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) |
|
903 | x = numpy.where(numpy.isfinite(x), x, numpy.NAN) | |
| 894 | x = numpy.average(x, axis=1) |
|
904 | x = numpy.average(x, axis=1) | |
| 895 |
|
905 | |||
| 896 |
|
906 | |||
| 897 | xdB = 10*numpy.log10(x) |
|
907 | xdB = 10*numpy.log10(x) | |
| 898 |
|
908 | |||
| 899 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
909 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |
| 900 | title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
910 | title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 901 | xlabel = "dB" |
|
911 | xlabel = "dB" | |
| 902 | ylabel = "Range (Km)" |
|
912 | ylabel = "Range (Km)" | |
| 903 |
|
913 | |||
| 904 | if not self.isConfig: |
|
914 | if not self.isConfig: | |
| 905 |
|
915 | |||
| 906 | nplots = 1 |
|
916 | nplots = 1 | |
| 907 |
|
917 | |||
| 908 | self.setup(id=id, |
|
918 | self.setup(id=id, | |
| 909 | nplots=nplots, |
|
919 | nplots=nplots, | |
| 910 | wintitle=wintitle, |
|
920 | wintitle=wintitle, | |
| 911 | show=show) |
|
921 | show=show) | |
| 912 |
|
922 | |||
| 913 | if ymin == None: ymin = numpy.nanmin(y) |
|
923 | if ymin == None: ymin = numpy.nanmin(y) | |
| 914 | if ymax == None: ymax = numpy.nanmax(y) |
|
924 | if ymax == None: ymax = numpy.nanmax(y) | |
| 915 | if xmin == None: xmin = numpy.nanmin(xdB)*0.9 |
|
925 | if xmin == None: xmin = numpy.nanmin(xdB)*0.9 | |
| 916 | if xmax == None: xmax = numpy.nanmax(xdB)*1.1 |
|
926 | if xmax == None: xmax = numpy.nanmax(xdB)*1.1 | |
| 917 |
|
927 | |||
| 918 | self.isConfig = True |
|
928 | self.isConfig = True | |
| 919 |
|
929 | |||
| 920 | self.setWinTitle(title) |
|
930 | self.setWinTitle(title) | |
| 921 |
|
931 | |||
| 922 | title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
932 | title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 923 | axes = self.axesList[0] |
|
933 | axes = self.axesList[0] | |
| 924 |
|
934 | |||
| 925 | legendlabels = ["channel %d"%x for x in channelList] |
|
935 | legendlabels = ["channel %d"%x for x in channelList] | |
| 926 | axes.pmultiline(xdB, y, |
|
936 | axes.pmultiline(xdB, y, | |
| 927 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
937 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, | |
| 928 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
938 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, | |
| 929 | ytick_visible=True, nxticks=5, |
|
939 | ytick_visible=True, nxticks=5, | |
| 930 | grid='x') |
|
940 | grid='x') | |
| 931 |
|
941 | |||
| 932 | self.draw() |
|
942 | self.draw() | |
| 933 |
|
943 | |||
| 934 | self.save(figpath=figpath, |
|
944 | self.save(figpath=figpath, | |
| 935 | figfile=figfile, |
|
945 | figfile=figfile, | |
| 936 | save=save, |
|
946 | save=save, | |
| 937 | ftp=ftp, |
|
947 | ftp=ftp, | |
| 938 | wr_period=wr_period, |
|
948 | wr_period=wr_period, | |
| 939 | thisDatetime=thisDatetime) |
|
949 | thisDatetime=thisDatetime) | |
| 940 |
|
950 | |||
| 941 | class SpectraCutPlot(Figure): |
|
951 | class SpectraCutPlot(Figure): | |
| 942 |
|
952 | |||
| 943 | isConfig = None |
|
953 | isConfig = None | |
| 944 | __nsubplots = None |
|
954 | __nsubplots = None | |
| 945 |
|
955 | |||
| 946 | WIDTHPROF = None |
|
956 | WIDTHPROF = None | |
| 947 | HEIGHTPROF = None |
|
957 | HEIGHTPROF = None | |
| 948 | PREFIX = 'spc_cut' |
|
958 | PREFIX = 'spc_cut' | |
| 949 |
|
959 | |||
| 950 | def __init__(self): |
|
960 | def __init__(self): | |
| 951 | self.isConfig = False |
|
961 | self.isConfig = False | |
| 952 | self.__nsubplots = 1 |
|
962 | self.__nsubplots = 1 | |
| 953 |
|
963 | |||
| 954 | self.PLOT_CODE = POWER_CODE |
|
964 | self.PLOT_CODE = POWER_CODE | |
| 955 |
|
965 | |||
| 956 | self.WIDTH = 700 |
|
966 | self.WIDTH = 700 | |
| 957 | self.HEIGHT = 500 |
|
967 | self.HEIGHT = 500 | |
| 958 | self.counter_imagwr = 0 |
|
968 | self.counter_imagwr = 0 | |
| 959 |
|
969 | |||
| 960 | def getSubplots(self): |
|
970 | def getSubplots(self): | |
| 961 | ncol = 1 |
|
971 | ncol = 1 | |
| 962 | nrow = 1 |
|
972 | nrow = 1 | |
| 963 |
|
973 | |||
| 964 | return nrow, ncol |
|
974 | return nrow, ncol | |
| 965 |
|
975 | |||
| 966 | def setup(self, id, nplots, wintitle, show): |
|
976 | def setup(self, id, nplots, wintitle, show): | |
| 967 |
|
977 | |||
| 968 | self.nplots = nplots |
|
978 | self.nplots = nplots | |
| 969 |
|
979 | |||
| 970 | ncolspan = 1 |
|
980 | ncolspan = 1 | |
| 971 | colspan = 1 |
|
981 | colspan = 1 | |
| 972 |
|
982 | |||
| 973 | self.createFigure(id = id, |
|
983 | self.createFigure(id = id, | |
| 974 | wintitle = wintitle, |
|
984 | wintitle = wintitle, | |
| 975 | widthplot = self.WIDTH, |
|
985 | widthplot = self.WIDTH, | |
| 976 | heightplot = self.HEIGHT, |
|
986 | heightplot = self.HEIGHT, | |
| 977 | show=show) |
|
987 | show=show) | |
| 978 |
|
988 | |||
| 979 | nrow, ncol = self.getSubplots() |
|
989 | nrow, ncol = self.getSubplots() | |
| 980 |
|
990 | |||
| 981 | counter = 0 |
|
991 | counter = 0 | |
| 982 | for y in range(nrow): |
|
992 | for y in range(nrow): | |
| 983 | for x in range(ncol): |
|
993 | for x in range(ncol): | |
| 984 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
994 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 985 |
|
995 | |||
| 986 | def run(self, dataOut, id, wintitle="", channelList=None, |
|
996 | def run(self, dataOut, id, wintitle="", channelList=None, | |
| 987 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
997 | xmin=None, xmax=None, ymin=None, ymax=None, | |
| 988 | save=False, figpath='./', figfile=None, show=True, |
|
998 | save=False, figpath='./', figfile=None, show=True, | |
| 989 | ftp=False, wr_period=1, server=None, |
|
999 | ftp=False, wr_period=1, server=None, | |
| 990 |
folder=None, username=None, password=None |
|
1000 | folder=None, username=None, password=None, | |
|
|
1001 | xaxis="velocity"): | |||
| 991 |
|
1002 | |||
| 992 |
|
1003 | |||
| 993 | if channelList == None: |
|
1004 | if channelList == None: | |
| 994 | channelIndexList = dataOut.channelIndexList |
|
1005 | channelIndexList = dataOut.channelIndexList | |
| 995 | channelList = dataOut.channelList |
|
1006 | channelList = dataOut.channelList | |
| 996 | else: |
|
1007 | else: | |
| 997 | channelIndexList = [] |
|
1008 | channelIndexList = [] | |
| 998 | for channel in channelList: |
|
1009 | for channel in channelList: | |
| 999 | if channel not in dataOut.channelList: |
|
1010 | if channel not in dataOut.channelList: | |
| 1000 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
1011 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 1001 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
1012 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 1002 |
|
1013 | |||
| 1003 | factor = dataOut.normFactor |
|
1014 | factor = dataOut.normFactor | |
| 1004 |
|
1015 | |||
| 1005 | x = dataOut.getFreqRangeTimeResponse()/1000 |
|
|||
| 1006 | y = dataOut.getHeiRange() |
|
1016 | y = dataOut.getHeiRange() | |
| 1007 |
|
1017 | |||
| 1008 | z = dataOut.data_spc/factor |
|
1018 | z = dataOut.data_spc/factor | |
| 1009 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
1019 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 1010 |
|
1020 | |||
| 1011 |
hei_index = numpy.arange( |
|
1021 | hei_index = numpy.arange(15)*3 + 20 | |
| 1012 |
|
1022 | |||
|
|
1023 | if xaxis == "frequency": | |||
|
|
1024 | x = dataOut.getFreqRange()/1000. | |||
| 1013 | zdB = 10*numpy.log10(z[0,:,hei_index]) |
|
1025 | zdB = 10*numpy.log10(z[0,:,hei_index]) | |
| 1014 | # zdB = numpy.swapaxes(zdB, 0, 1) |
|
1026 | xlabel = "Frquency (KHz)" | |
|
|
1027 | ylabel = "Power (dB)" | |||
| 1015 |
|
1028 | |||
|
|
1029 | elif xaxis == "time": | |||
|
|
1030 | x = dataOut.getAcfRange() | |||
|
|
1031 | zdB = z[0,:,hei_index] | |||
|
|
1032 | xlabel = "Time (ms)" | |||
|
|
1033 | ylabel = "ACF" | |||
| 1016 |
|
1034 | |||
| 1017 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) |
|
1035 | else: | |
| 1018 | title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1036 | x = dataOut.getVelRange() | |
| 1019 | xlabel = "Frequency (KHz)" |
|
1037 | zdB = 10*numpy.log10(z[0,:,hei_index]) | |
|
|
1038 | xlabel = "Velocity (m/s)" | |||
| 1020 | ylabel = "Power (dB)" |
|
1039 | ylabel = "Power (dB)" | |
| 1021 |
|
1040 | |||
|
|
1041 | thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0]) | |||
|
|
1042 | title = wintitle + " Range Cuts %s" %(thisDatetime.strftime("%d-%b-%Y")) | |||
|
|
1043 | ||||
| 1022 | if not self.isConfig: |
|
1044 | if not self.isConfig: | |
| 1023 |
|
1045 | |||
| 1024 | nplots = 1 |
|
1046 | nplots = 1 | |
| 1025 |
|
1047 | |||
| 1026 | self.setup(id=id, |
|
1048 | self.setup(id=id, | |
| 1027 | nplots=nplots, |
|
1049 | nplots=nplots, | |
| 1028 | wintitle=wintitle, |
|
1050 | wintitle=wintitle, | |
| 1029 | show=show) |
|
1051 | show=show) | |
| 1030 |
|
1052 | |||
| 1031 | if xmin == None: xmin = numpy.nanmin(x)*0.9 |
|
1053 | if xmin == None: xmin = numpy.nanmin(x)*0.9 | |
| 1032 | if xmax == None: xmax = numpy.nanmax(x)*1.1 |
|
1054 | if xmax == None: xmax = numpy.nanmax(x)*1.1 | |
| 1033 | if ymin == None: ymin = numpy.nanmin(zdB) |
|
1055 | if ymin == None: ymin = numpy.nanmin(zdB) | |
| 1034 | if ymax == None: ymax = numpy.nanmax(zdB) |
|
1056 | if ymax == None: ymax = numpy.nanmax(zdB) | |
| 1035 |
|
1057 | |||
| 1036 | self.isConfig = True |
|
1058 | self.isConfig = True | |
| 1037 |
|
1059 | |||
| 1038 | self.setWinTitle(title) |
|
1060 | self.setWinTitle(title) | |
| 1039 |
|
1061 | |||
| 1040 | title = "Spectra Cuts: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
1062 | title = "Spectra Cuts: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 1041 | axes = self.axesList[0] |
|
1063 | axes = self.axesList[0] | |
| 1042 |
|
1064 | |||
| 1043 | legendlabels = ["Range = %dKm" %y[i] for i in hei_index] |
|
1065 | legendlabels = ["Range = %dKm" %y[i] for i in hei_index] | |
| 1044 |
|
1066 | |||
| 1045 | axes.pmultilineyaxis( x, zdB, |
|
1067 | axes.pmultilineyaxis( x, zdB, | |
| 1046 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
1068 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, | |
| 1047 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
1069 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, | |
| 1048 | ytick_visible=True, nxticks=5, |
|
1070 | ytick_visible=True, nxticks=5, | |
| 1049 | grid='x') |
|
1071 | grid='x') | |
| 1050 |
|
1072 | |||
| 1051 | self.draw() |
|
1073 | self.draw() | |
| 1052 |
|
1074 | |||
| 1053 | self.save(figpath=figpath, |
|
1075 | self.save(figpath=figpath, | |
| 1054 | figfile=figfile, |
|
1076 | figfile=figfile, | |
| 1055 | save=save, |
|
1077 | save=save, | |
| 1056 | ftp=ftp, |
|
1078 | ftp=ftp, | |
| 1057 | wr_period=wr_period, |
|
1079 | wr_period=wr_period, | |
| 1058 | thisDatetime=thisDatetime) |
|
1080 | thisDatetime=thisDatetime) | |
| 1059 |
|
1081 | |||
| 1060 | class Noise(Figure): |
|
1082 | class Noise(Figure): | |
| 1061 |
|
1083 | |||
| 1062 | isConfig = None |
|
1084 | isConfig = None | |
| 1063 | __nsubplots = None |
|
1085 | __nsubplots = None | |
| 1064 |
|
1086 | |||
| 1065 | PREFIX = 'noise' |
|
1087 | PREFIX = 'noise' | |
| 1066 |
|
1088 | |||
| 1067 | def __init__(self): |
|
1089 | def __init__(self): | |
| 1068 |
|
1090 | |||
| 1069 | self.timerange = 24*60*60 |
|
1091 | self.timerange = 24*60*60 | |
| 1070 | self.isConfig = False |
|
1092 | self.isConfig = False | |
| 1071 | self.__nsubplots = 1 |
|
1093 | self.__nsubplots = 1 | |
| 1072 | self.counter_imagwr = 0 |
|
1094 | self.counter_imagwr = 0 | |
| 1073 | self.WIDTH = 800 |
|
1095 | self.WIDTH = 800 | |
| 1074 | self.HEIGHT = 400 |
|
1096 | self.HEIGHT = 400 | |
| 1075 | self.WIDTHPROF = 120 |
|
1097 | self.WIDTHPROF = 120 | |
| 1076 | self.HEIGHTPROF = 0 |
|
1098 | self.HEIGHTPROF = 0 | |
| 1077 | self.xdata = None |
|
1099 | self.xdata = None | |
| 1078 | self.ydata = None |
|
1100 | self.ydata = None | |
| 1079 |
|
1101 | |||
| 1080 | self.PLOT_CODE = NOISE_CODE |
|
1102 | self.PLOT_CODE = NOISE_CODE | |
| 1081 |
|
1103 | |||
| 1082 | self.FTP_WEI = None |
|
1104 | self.FTP_WEI = None | |
| 1083 | self.EXP_CODE = None |
|
1105 | self.EXP_CODE = None | |
| 1084 | self.SUB_EXP_CODE = None |
|
1106 | self.SUB_EXP_CODE = None | |
| 1085 | self.PLOT_POS = None |
|
1107 | self.PLOT_POS = None | |
| 1086 | self.figfile = None |
|
1108 | self.figfile = None | |
| 1087 |
|
1109 | |||
| 1088 | self.xmin = None |
|
1110 | self.xmin = None | |
| 1089 | self.xmax = None |
|
1111 | self.xmax = None | |
| 1090 |
|
1112 | |||
| 1091 | def getSubplots(self): |
|
1113 | def getSubplots(self): | |
| 1092 |
|
1114 | |||
| 1093 | ncol = 1 |
|
1115 | ncol = 1 | |
| 1094 | nrow = 1 |
|
1116 | nrow = 1 | |
| 1095 |
|
1117 | |||
| 1096 | return nrow, ncol |
|
1118 | return nrow, ncol | |
| 1097 |
|
1119 | |||
| 1098 | def openfile(self, filename): |
|
1120 | def openfile(self, filename): | |
| 1099 | dirname = os.path.dirname(filename) |
|
1121 | dirname = os.path.dirname(filename) | |
| 1100 |
|
1122 | |||
| 1101 | if not os.path.exists(dirname): |
|
1123 | if not os.path.exists(dirname): | |
| 1102 | os.mkdir(dirname) |
|
1124 | os.mkdir(dirname) | |
| 1103 |
|
1125 | |||
| 1104 | f = open(filename,'w+') |
|
1126 | f = open(filename,'w+') | |
| 1105 | f.write('\n\n') |
|
1127 | f.write('\n\n') | |
| 1106 | f.write('JICAMARCA RADIO OBSERVATORY - Noise \n') |
|
1128 | f.write('JICAMARCA RADIO OBSERVATORY - Noise \n') | |
| 1107 | f.write('DD MM YYYY HH MM SS Channel0 Channel1 Channel2 Channel3\n\n' ) |
|
1129 | f.write('DD MM YYYY HH MM SS Channel0 Channel1 Channel2 Channel3\n\n' ) | |
| 1108 | f.close() |
|
1130 | f.close() | |
| 1109 |
|
1131 | |||
| 1110 | def save_data(self, filename_phase, data, data_datetime): |
|
1132 | def save_data(self, filename_phase, data, data_datetime): | |
| 1111 |
|
1133 | |||
| 1112 | f=open(filename_phase,'a') |
|
1134 | f=open(filename_phase,'a') | |
| 1113 |
|
1135 | |||
| 1114 | timetuple_data = data_datetime.timetuple() |
|
1136 | timetuple_data = data_datetime.timetuple() | |
| 1115 | day = str(timetuple_data.tm_mday) |
|
1137 | day = str(timetuple_data.tm_mday) | |
| 1116 | month = str(timetuple_data.tm_mon) |
|
1138 | month = str(timetuple_data.tm_mon) | |
| 1117 | year = str(timetuple_data.tm_year) |
|
1139 | year = str(timetuple_data.tm_year) | |
| 1118 | hour = str(timetuple_data.tm_hour) |
|
1140 | hour = str(timetuple_data.tm_hour) | |
| 1119 | minute = str(timetuple_data.tm_min) |
|
1141 | minute = str(timetuple_data.tm_min) | |
| 1120 | second = str(timetuple_data.tm_sec) |
|
1142 | second = str(timetuple_data.tm_sec) | |
| 1121 |
|
1143 | |||
| 1122 | data_msg = '' |
|
1144 | data_msg = '' | |
| 1123 | for i in range(len(data)): |
|
1145 | for i in range(len(data)): | |
| 1124 | data_msg += str(data[i]) + ' ' |
|
1146 | data_msg += str(data[i]) + ' ' | |
| 1125 |
|
1147 | |||
| 1126 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' ' + data_msg + '\n') |
|
1148 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' ' + data_msg + '\n') | |
| 1127 | f.close() |
|
1149 | f.close() | |
| 1128 |
|
1150 | |||
| 1129 |
|
1151 | |||
| 1130 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
1152 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 1131 |
|
1153 | |||
| 1132 | self.__showprofile = showprofile |
|
1154 | self.__showprofile = showprofile | |
| 1133 | self.nplots = nplots |
|
1155 | self.nplots = nplots | |
| 1134 |
|
1156 | |||
| 1135 | ncolspan = 7 |
|
1157 | ncolspan = 7 | |
| 1136 | colspan = 6 |
|
1158 | colspan = 6 | |
| 1137 | self.__nsubplots = 2 |
|
1159 | self.__nsubplots = 2 | |
| 1138 |
|
1160 | |||
| 1139 | self.createFigure(id = id, |
|
1161 | self.createFigure(id = id, | |
| 1140 | wintitle = wintitle, |
|
1162 | wintitle = wintitle, | |
| 1141 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
1163 | widthplot = self.WIDTH+self.WIDTHPROF, | |
| 1142 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
1164 | heightplot = self.HEIGHT+self.HEIGHTPROF, | |
| 1143 | show=show) |
|
1165 | show=show) | |
| 1144 |
|
1166 | |||
| 1145 | nrow, ncol = self.getSubplots() |
|
1167 | nrow, ncol = self.getSubplots() | |
| 1146 |
|
1168 | |||
| 1147 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
1169 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) | |
| 1148 |
|
1170 | |||
| 1149 |
|
1171 | |||
| 1150 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', |
|
1172 | def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True', | |
| 1151 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
1173 | xmin=None, xmax=None, ymin=None, ymax=None, | |
| 1152 | timerange=None, |
|
1174 | timerange=None, | |
| 1153 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
1175 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 1154 | server=None, folder=None, username=None, password=None, |
|
1176 | server=None, folder=None, username=None, password=None, | |
| 1155 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
1177 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 1156 |
|
1178 | |||
| 1157 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
1179 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
| 1158 | return |
|
1180 | return | |
| 1159 |
|
1181 | |||
| 1160 | if channelList == None: |
|
1182 | if channelList == None: | |
| 1161 | channelIndexList = dataOut.channelIndexList |
|
1183 | channelIndexList = dataOut.channelIndexList | |
| 1162 | channelList = dataOut.channelList |
|
1184 | channelList = dataOut.channelList | |
| 1163 | else: |
|
1185 | else: | |
| 1164 | channelIndexList = [] |
|
1186 | channelIndexList = [] | |
| 1165 | for channel in channelList: |
|
1187 | for channel in channelList: | |
| 1166 | if channel not in dataOut.channelList: |
|
1188 | if channel not in dataOut.channelList: | |
| 1167 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
1189 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 1168 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
1190 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 1169 |
|
1191 | |||
| 1170 | x = dataOut.getTimeRange() |
|
1192 | x = dataOut.getTimeRange() | |
| 1171 | #y = dataOut.getHeiRange() |
|
1193 | #y = dataOut.getHeiRange() | |
| 1172 | factor = dataOut.normFactor |
|
1194 | factor = dataOut.normFactor | |
| 1173 | noise = dataOut.noise[channelIndexList]/factor |
|
1195 | noise = dataOut.noise[channelIndexList]/factor | |
| 1174 | noisedB = 10*numpy.log10(noise) |
|
1196 | noisedB = 10*numpy.log10(noise) | |
| 1175 |
|
1197 | |||
| 1176 | thisDatetime = dataOut.datatime |
|
1198 | thisDatetime = dataOut.datatime | |
| 1177 |
|
1199 | |||
| 1178 | title = wintitle + " Noise" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1200 | title = wintitle + " Noise" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 1179 | xlabel = "" |
|
1201 | xlabel = "" | |
| 1180 | ylabel = "Intensity (dB)" |
|
1202 | ylabel = "Intensity (dB)" | |
| 1181 | update_figfile = False |
|
1203 | update_figfile = False | |
| 1182 |
|
1204 | |||
| 1183 | if not self.isConfig: |
|
1205 | if not self.isConfig: | |
| 1184 |
|
1206 | |||
| 1185 | nplots = 1 |
|
1207 | nplots = 1 | |
| 1186 |
|
1208 | |||
| 1187 | self.setup(id=id, |
|
1209 | self.setup(id=id, | |
| 1188 | nplots=nplots, |
|
1210 | nplots=nplots, | |
| 1189 | wintitle=wintitle, |
|
1211 | wintitle=wintitle, | |
| 1190 | showprofile=showprofile, |
|
1212 | showprofile=showprofile, | |
| 1191 | show=show) |
|
1213 | show=show) | |
| 1192 |
|
1214 | |||
| 1193 | if timerange != None: |
|
1215 | if timerange != None: | |
| 1194 | self.timerange = timerange |
|
1216 | self.timerange = timerange | |
| 1195 |
|
1217 | |||
| 1196 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
1218 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 1197 |
|
1219 | |||
| 1198 | if ymin == None: ymin = numpy.floor(numpy.nanmin(noisedB)) - 10.0 |
|
1220 | if ymin == None: ymin = numpy.floor(numpy.nanmin(noisedB)) - 10.0 | |
| 1199 | if ymax == None: ymax = numpy.nanmax(noisedB) + 10.0 |
|
1221 | if ymax == None: ymax = numpy.nanmax(noisedB) + 10.0 | |
| 1200 |
|
1222 | |||
| 1201 | self.FTP_WEI = ftp_wei |
|
1223 | self.FTP_WEI = ftp_wei | |
| 1202 | self.EXP_CODE = exp_code |
|
1224 | self.EXP_CODE = exp_code | |
| 1203 | self.SUB_EXP_CODE = sub_exp_code |
|
1225 | self.SUB_EXP_CODE = sub_exp_code | |
| 1204 | self.PLOT_POS = plot_pos |
|
1226 | self.PLOT_POS = plot_pos | |
| 1205 |
|
1227 | |||
| 1206 |
|
1228 | |||
| 1207 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
1229 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 1208 | self.isConfig = True |
|
1230 | self.isConfig = True | |
| 1209 | self.figfile = figfile |
|
1231 | self.figfile = figfile | |
| 1210 | self.xdata = numpy.array([]) |
|
1232 | self.xdata = numpy.array([]) | |
| 1211 | self.ydata = numpy.array([]) |
|
1233 | self.ydata = numpy.array([]) | |
| 1212 |
|
1234 | |||
| 1213 | update_figfile = True |
|
1235 | update_figfile = True | |
| 1214 |
|
1236 | |||
| 1215 | #open file beacon phase |
|
1237 | #open file beacon phase | |
| 1216 | path = '%s%03d' %(self.PREFIX, self.id) |
|
1238 | path = '%s%03d' %(self.PREFIX, self.id) | |
| 1217 | noise_file = os.path.join(path,'%s.txt'%self.name) |
|
1239 | noise_file = os.path.join(path,'%s.txt'%self.name) | |
| 1218 | self.filename_noise = os.path.join(figpath,noise_file) |
|
1240 | self.filename_noise = os.path.join(figpath,noise_file) | |
| 1219 |
|
1241 | |||
| 1220 | self.setWinTitle(title) |
|
1242 | self.setWinTitle(title) | |
| 1221 |
|
1243 | |||
| 1222 | title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1244 | title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1223 |
|
1245 | |||
| 1224 | legendlabels = ["channel %d"%(idchannel) for idchannel in channelList] |
|
1246 | legendlabels = ["channel %d"%(idchannel) for idchannel in channelList] | |
| 1225 | axes = self.axesList[0] |
|
1247 | axes = self.axesList[0] | |
| 1226 |
|
1248 | |||
| 1227 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
1249 | self.xdata = numpy.hstack((self.xdata, x[0:1])) | |
| 1228 |
|
1250 | |||
| 1229 | if len(self.ydata)==0: |
|
1251 | if len(self.ydata)==0: | |
| 1230 | self.ydata = noisedB.reshape(-1,1) |
|
1252 | self.ydata = noisedB.reshape(-1,1) | |
| 1231 | else: |
|
1253 | else: | |
| 1232 | self.ydata = numpy.hstack((self.ydata, noisedB.reshape(-1,1))) |
|
1254 | self.ydata = numpy.hstack((self.ydata, noisedB.reshape(-1,1))) | |
| 1233 |
|
1255 | |||
| 1234 |
|
1256 | |||
| 1235 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
1257 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, | |
| 1236 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
1258 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, | |
| 1237 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
1259 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", | |
| 1238 | XAxisAsTime=True, grid='both' |
|
1260 | XAxisAsTime=True, grid='both' | |
| 1239 | ) |
|
1261 | ) | |
| 1240 |
|
1262 | |||
| 1241 | self.draw() |
|
1263 | self.draw() | |
| 1242 |
|
1264 | |||
| 1243 | if dataOut.ltctime >= self.xmax: |
|
1265 | if dataOut.ltctime >= self.xmax: | |
| 1244 | self.counter_imagwr = wr_period |
|
1266 | self.counter_imagwr = wr_period | |
| 1245 | self.isConfig = False |
|
1267 | self.isConfig = False | |
| 1246 | update_figfile = True |
|
1268 | update_figfile = True | |
| 1247 |
|
1269 | |||
| 1248 | self.save(figpath=figpath, |
|
1270 | self.save(figpath=figpath, | |
| 1249 | figfile=figfile, |
|
1271 | figfile=figfile, | |
| 1250 | save=save, |
|
1272 | save=save, | |
| 1251 | ftp=ftp, |
|
1273 | ftp=ftp, | |
| 1252 | wr_period=wr_period, |
|
1274 | wr_period=wr_period, | |
| 1253 | thisDatetime=thisDatetime, |
|
1275 | thisDatetime=thisDatetime, | |
| 1254 | update_figfile=update_figfile) |
|
1276 | update_figfile=update_figfile) | |
| 1255 |
|
1277 | |||
| 1256 | #store data beacon phase |
|
1278 | #store data beacon phase | |
| 1257 | if save: |
|
1279 | if save: | |
| 1258 | self.save_data(self.filename_noise, noisedB, thisDatetime) |
|
1280 | self.save_data(self.filename_noise, noisedB, thisDatetime) | |
| 1259 |
|
1281 | |||
| 1260 | class BeaconPhase(Figure): |
|
1282 | class BeaconPhase(Figure): | |
| 1261 |
|
1283 | |||
| 1262 | __isConfig = None |
|
1284 | __isConfig = None | |
| 1263 | __nsubplots = None |
|
1285 | __nsubplots = None | |
| 1264 |
|
1286 | |||
| 1265 | PREFIX = 'beacon_phase' |
|
1287 | PREFIX = 'beacon_phase' | |
| 1266 |
|
1288 | |||
| 1267 | def __init__(self): |
|
1289 | def __init__(self): | |
| 1268 |
|
1290 | |||
| 1269 | self.timerange = 24*60*60 |
|
1291 | self.timerange = 24*60*60 | |
| 1270 | self.isConfig = False |
|
1292 | self.isConfig = False | |
| 1271 | self.__nsubplots = 1 |
|
1293 | self.__nsubplots = 1 | |
| 1272 | self.counter_imagwr = 0 |
|
1294 | self.counter_imagwr = 0 | |
| 1273 | self.WIDTH = 800 |
|
1295 | self.WIDTH = 800 | |
| 1274 | self.HEIGHT = 400 |
|
1296 | self.HEIGHT = 400 | |
| 1275 | self.WIDTHPROF = 120 |
|
1297 | self.WIDTHPROF = 120 | |
| 1276 | self.HEIGHTPROF = 0 |
|
1298 | self.HEIGHTPROF = 0 | |
| 1277 | self.xdata = None |
|
1299 | self.xdata = None | |
| 1278 | self.ydata = None |
|
1300 | self.ydata = None | |
| 1279 |
|
1301 | |||
| 1280 | self.PLOT_CODE = BEACON_CODE |
|
1302 | self.PLOT_CODE = BEACON_CODE | |
| 1281 |
|
1303 | |||
| 1282 | self.FTP_WEI = None |
|
1304 | self.FTP_WEI = None | |
| 1283 | self.EXP_CODE = None |
|
1305 | self.EXP_CODE = None | |
| 1284 | self.SUB_EXP_CODE = None |
|
1306 | self.SUB_EXP_CODE = None | |
| 1285 | self.PLOT_POS = None |
|
1307 | self.PLOT_POS = None | |
| 1286 |
|
1308 | |||
| 1287 | self.filename_phase = None |
|
1309 | self.filename_phase = None | |
| 1288 |
|
1310 | |||
| 1289 | self.figfile = None |
|
1311 | self.figfile = None | |
| 1290 |
|
1312 | |||
| 1291 | self.xmin = None |
|
1313 | self.xmin = None | |
| 1292 | self.xmax = None |
|
1314 | self.xmax = None | |
| 1293 |
|
1315 | |||
| 1294 | def getSubplots(self): |
|
1316 | def getSubplots(self): | |
| 1295 |
|
1317 | |||
| 1296 | ncol = 1 |
|
1318 | ncol = 1 | |
| 1297 | nrow = 1 |
|
1319 | nrow = 1 | |
| 1298 |
|
1320 | |||
| 1299 | return nrow, ncol |
|
1321 | return nrow, ncol | |
| 1300 |
|
1322 | |||
| 1301 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): |
|
1323 | def setup(self, id, nplots, wintitle, showprofile=True, show=True): | |
| 1302 |
|
1324 | |||
| 1303 | self.__showprofile = showprofile |
|
1325 | self.__showprofile = showprofile | |
| 1304 | self.nplots = nplots |
|
1326 | self.nplots = nplots | |
| 1305 |
|
1327 | |||
| 1306 | ncolspan = 7 |
|
1328 | ncolspan = 7 | |
| 1307 | colspan = 6 |
|
1329 | colspan = 6 | |
| 1308 | self.__nsubplots = 2 |
|
1330 | self.__nsubplots = 2 | |
| 1309 |
|
1331 | |||
| 1310 | self.createFigure(id = id, |
|
1332 | self.createFigure(id = id, | |
| 1311 | wintitle = wintitle, |
|
1333 | wintitle = wintitle, | |
| 1312 | widthplot = self.WIDTH+self.WIDTHPROF, |
|
1334 | widthplot = self.WIDTH+self.WIDTHPROF, | |
| 1313 | heightplot = self.HEIGHT+self.HEIGHTPROF, |
|
1335 | heightplot = self.HEIGHT+self.HEIGHTPROF, | |
| 1314 | show=show) |
|
1336 | show=show) | |
| 1315 |
|
1337 | |||
| 1316 | nrow, ncol = self.getSubplots() |
|
1338 | nrow, ncol = self.getSubplots() | |
| 1317 |
|
1339 | |||
| 1318 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) |
|
1340 | self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1) | |
| 1319 |
|
1341 | |||
| 1320 | def save_phase(self, filename_phase): |
|
1342 | def save_phase(self, filename_phase): | |
| 1321 | f = open(filename_phase,'w+') |
|
1343 | f = open(filename_phase,'w+') | |
| 1322 | f.write('\n\n') |
|
1344 | f.write('\n\n') | |
| 1323 | f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n') |
|
1345 | f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n') | |
| 1324 | f.write('DD MM YYYY HH MM SS pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' ) |
|
1346 | f.write('DD MM YYYY HH MM SS pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' ) | |
| 1325 | f.close() |
|
1347 | f.close() | |
| 1326 |
|
1348 | |||
| 1327 | def save_data(self, filename_phase, data, data_datetime): |
|
1349 | def save_data(self, filename_phase, data, data_datetime): | |
| 1328 | f=open(filename_phase,'a') |
|
1350 | f=open(filename_phase,'a') | |
| 1329 | timetuple_data = data_datetime.timetuple() |
|
1351 | timetuple_data = data_datetime.timetuple() | |
| 1330 | day = str(timetuple_data.tm_mday) |
|
1352 | day = str(timetuple_data.tm_mday) | |
| 1331 | month = str(timetuple_data.tm_mon) |
|
1353 | month = str(timetuple_data.tm_mon) | |
| 1332 | year = str(timetuple_data.tm_year) |
|
1354 | year = str(timetuple_data.tm_year) | |
| 1333 | hour = str(timetuple_data.tm_hour) |
|
1355 | hour = str(timetuple_data.tm_hour) | |
| 1334 | minute = str(timetuple_data.tm_min) |
|
1356 | minute = str(timetuple_data.tm_min) | |
| 1335 | second = str(timetuple_data.tm_sec) |
|
1357 | second = str(timetuple_data.tm_sec) | |
| 1336 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n') |
|
1358 | f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n') | |
| 1337 | f.close() |
|
1359 | f.close() | |
| 1338 |
|
1360 | |||
| 1339 |
|
1361 | |||
| 1340 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', |
|
1362 | def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True', | |
| 1341 | xmin=None, xmax=None, ymin=None, ymax=None, hmin=None, hmax=None, |
|
1363 | xmin=None, xmax=None, ymin=None, ymax=None, hmin=None, hmax=None, | |
| 1342 | timerange=None, |
|
1364 | timerange=None, | |
| 1343 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, |
|
1365 | save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1, | |
| 1344 | server=None, folder=None, username=None, password=None, |
|
1366 | server=None, folder=None, username=None, password=None, | |
| 1345 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): |
|
1367 | ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0): | |
| 1346 |
|
1368 | |||
| 1347 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): |
|
1369 | if not isTimeInHourRange(dataOut.datatime, xmin, xmax): | |
| 1348 | return |
|
1370 | return | |
| 1349 |
|
1371 | |||
| 1350 | if pairsList == None: |
|
1372 | if pairsList == None: | |
| 1351 | pairsIndexList = dataOut.pairsIndexList[:10] |
|
1373 | pairsIndexList = dataOut.pairsIndexList[:10] | |
| 1352 | else: |
|
1374 | else: | |
| 1353 | pairsIndexList = [] |
|
1375 | pairsIndexList = [] | |
| 1354 | for pair in pairsList: |
|
1376 | for pair in pairsList: | |
| 1355 | if pair not in dataOut.pairsList: |
|
1377 | if pair not in dataOut.pairsList: | |
| 1356 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
1378 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) | |
| 1357 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
1379 | pairsIndexList.append(dataOut.pairsList.index(pair)) | |
| 1358 |
|
1380 | |||
| 1359 | if pairsIndexList == []: |
|
1381 | if pairsIndexList == []: | |
| 1360 | return |
|
1382 | return | |
| 1361 |
|
1383 | |||
| 1362 | # if len(pairsIndexList) > 4: |
|
1384 | # if len(pairsIndexList) > 4: | |
| 1363 | # pairsIndexList = pairsIndexList[0:4] |
|
1385 | # pairsIndexList = pairsIndexList[0:4] | |
| 1364 |
|
1386 | |||
| 1365 | hmin_index = None |
|
1387 | hmin_index = None | |
| 1366 | hmax_index = None |
|
1388 | hmax_index = None | |
| 1367 |
|
1389 | |||
| 1368 | if hmin != None and hmax != None: |
|
1390 | if hmin != None and hmax != None: | |
| 1369 | indexes = numpy.arange(dataOut.nHeights) |
|
1391 | indexes = numpy.arange(dataOut.nHeights) | |
| 1370 | hmin_list = indexes[dataOut.heightList >= hmin] |
|
1392 | hmin_list = indexes[dataOut.heightList >= hmin] | |
| 1371 | hmax_list = indexes[dataOut.heightList <= hmax] |
|
1393 | hmax_list = indexes[dataOut.heightList <= hmax] | |
| 1372 |
|
1394 | |||
| 1373 | if hmin_list.any(): |
|
1395 | if hmin_list.any(): | |
| 1374 | hmin_index = hmin_list[0] |
|
1396 | hmin_index = hmin_list[0] | |
| 1375 |
|
1397 | |||
| 1376 | if hmax_list.any(): |
|
1398 | if hmax_list.any(): | |
| 1377 | hmax_index = hmax_list[-1]+1 |
|
1399 | hmax_index = hmax_list[-1]+1 | |
| 1378 |
|
1400 | |||
| 1379 | x = dataOut.getTimeRange() |
|
1401 | x = dataOut.getTimeRange() | |
| 1380 | #y = dataOut.getHeiRange() |
|
1402 | #y = dataOut.getHeiRange() | |
| 1381 |
|
1403 | |||
| 1382 |
|
1404 | |||
| 1383 | thisDatetime = dataOut.datatime |
|
1405 | thisDatetime = dataOut.datatime | |
| 1384 |
|
1406 | |||
| 1385 | title = wintitle + " Signal Phase" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
1407 | title = wintitle + " Signal Phase" # : %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 1386 | xlabel = "Local Time" |
|
1408 | xlabel = "Local Time" | |
| 1387 | ylabel = "Phase (degrees)" |
|
1409 | ylabel = "Phase (degrees)" | |
| 1388 |
|
1410 | |||
| 1389 | update_figfile = False |
|
1411 | update_figfile = False | |
| 1390 |
|
1412 | |||
| 1391 | nplots = len(pairsIndexList) |
|
1413 | nplots = len(pairsIndexList) | |
| 1392 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) |
|
1414 | #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList))) | |
| 1393 | phase_beacon = numpy.zeros(len(pairsIndexList)) |
|
1415 | phase_beacon = numpy.zeros(len(pairsIndexList)) | |
| 1394 | for i in range(nplots): |
|
1416 | for i in range(nplots): | |
| 1395 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
1417 | pair = dataOut.pairsList[pairsIndexList[i]] | |
| 1396 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i], :, hmin_index:hmax_index], axis=0) |
|
1418 | ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i], :, hmin_index:hmax_index], axis=0) | |
| 1397 | powa = numpy.average(dataOut.data_spc[pair[0], :, hmin_index:hmax_index], axis=0) |
|
1419 | powa = numpy.average(dataOut.data_spc[pair[0], :, hmin_index:hmax_index], axis=0) | |
| 1398 | powb = numpy.average(dataOut.data_spc[pair[1], :, hmin_index:hmax_index], axis=0) |
|
1420 | powb = numpy.average(dataOut.data_spc[pair[1], :, hmin_index:hmax_index], axis=0) | |
| 1399 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) |
|
1421 | avgcoherenceComplex = ccf/numpy.sqrt(powa*powb) | |
| 1400 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi |
|
1422 | phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi | |
| 1401 |
|
1423 | |||
| 1402 | #print "Phase %d%d" %(pair[0], pair[1]) |
|
1424 | #print "Phase %d%d" %(pair[0], pair[1]) | |
| 1403 | #print phase[dataOut.beacon_heiIndexList] |
|
1425 | #print phase[dataOut.beacon_heiIndexList] | |
| 1404 |
|
1426 | |||
| 1405 | if dataOut.beacon_heiIndexList: |
|
1427 | if dataOut.beacon_heiIndexList: | |
| 1406 | phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList]) |
|
1428 | phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList]) | |
| 1407 | else: |
|
1429 | else: | |
| 1408 | phase_beacon[i] = numpy.average(phase) |
|
1430 | phase_beacon[i] = numpy.average(phase) | |
| 1409 |
|
1431 | |||
| 1410 | if not self.isConfig: |
|
1432 | if not self.isConfig: | |
| 1411 |
|
1433 | |||
| 1412 | nplots = len(pairsIndexList) |
|
1434 | nplots = len(pairsIndexList) | |
| 1413 |
|
1435 | |||
| 1414 | self.setup(id=id, |
|
1436 | self.setup(id=id, | |
| 1415 | nplots=nplots, |
|
1437 | nplots=nplots, | |
| 1416 | wintitle=wintitle, |
|
1438 | wintitle=wintitle, | |
| 1417 | showprofile=showprofile, |
|
1439 | showprofile=showprofile, | |
| 1418 | show=show) |
|
1440 | show=show) | |
| 1419 |
|
1441 | |||
| 1420 | if timerange != None: |
|
1442 | if timerange != None: | |
| 1421 | self.timerange = timerange |
|
1443 | self.timerange = timerange | |
| 1422 |
|
1444 | |||
| 1423 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) |
|
1445 | self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange) | |
| 1424 |
|
1446 | |||
| 1425 | if ymin == None: ymin = 0 |
|
1447 | if ymin == None: ymin = 0 | |
| 1426 | if ymax == None: ymax = 360 |
|
1448 | if ymax == None: ymax = 360 | |
| 1427 |
|
1449 | |||
| 1428 | self.FTP_WEI = ftp_wei |
|
1450 | self.FTP_WEI = ftp_wei | |
| 1429 | self.EXP_CODE = exp_code |
|
1451 | self.EXP_CODE = exp_code | |
| 1430 | self.SUB_EXP_CODE = sub_exp_code |
|
1452 | self.SUB_EXP_CODE = sub_exp_code | |
| 1431 | self.PLOT_POS = plot_pos |
|
1453 | self.PLOT_POS = plot_pos | |
| 1432 |
|
1454 | |||
| 1433 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
1455 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 1434 | self.isConfig = True |
|
1456 | self.isConfig = True | |
| 1435 | self.figfile = figfile |
|
1457 | self.figfile = figfile | |
| 1436 | self.xdata = numpy.array([]) |
|
1458 | self.xdata = numpy.array([]) | |
| 1437 | self.ydata = numpy.array([]) |
|
1459 | self.ydata = numpy.array([]) | |
| 1438 |
|
1460 | |||
| 1439 | update_figfile = True |
|
1461 | update_figfile = True | |
| 1440 |
|
1462 | |||
| 1441 | #open file beacon phase |
|
1463 | #open file beacon phase | |
| 1442 | path = '%s%03d' %(self.PREFIX, self.id) |
|
1464 | path = '%s%03d' %(self.PREFIX, self.id) | |
| 1443 | beacon_file = os.path.join(path,'%s.txt'%self.name) |
|
1465 | beacon_file = os.path.join(path,'%s.txt'%self.name) | |
| 1444 | self.filename_phase = os.path.join(figpath,beacon_file) |
|
1466 | self.filename_phase = os.path.join(figpath,beacon_file) | |
| 1445 | #self.save_phase(self.filename_phase) |
|
1467 | #self.save_phase(self.filename_phase) | |
| 1446 |
|
1468 | |||
| 1447 |
|
1469 | |||
| 1448 | #store data beacon phase |
|
1470 | #store data beacon phase | |
| 1449 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) |
|
1471 | #self.save_data(self.filename_phase, phase_beacon, thisDatetime) | |
| 1450 |
|
1472 | |||
| 1451 | self.setWinTitle(title) |
|
1473 | self.setWinTitle(title) | |
| 1452 |
|
1474 | |||
| 1453 |
|
1475 | |||
| 1454 | title = "Phase Plot %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) |
|
1476 | title = "Phase Plot %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S")) | |
| 1455 |
|
1477 | |||
| 1456 | legendlabels = ["Pair (%d,%d)"%(pair[0], pair[1]) for pair in dataOut.pairsList] |
|
1478 | legendlabels = ["Pair (%d,%d)"%(pair[0], pair[1]) for pair in dataOut.pairsList] | |
| 1457 |
|
1479 | |||
| 1458 | axes = self.axesList[0] |
|
1480 | axes = self.axesList[0] | |
| 1459 |
|
1481 | |||
| 1460 | self.xdata = numpy.hstack((self.xdata, x[0:1])) |
|
1482 | self.xdata = numpy.hstack((self.xdata, x[0:1])) | |
| 1461 |
|
1483 | |||
| 1462 | if len(self.ydata)==0: |
|
1484 | if len(self.ydata)==0: | |
| 1463 | self.ydata = phase_beacon.reshape(-1,1) |
|
1485 | self.ydata = phase_beacon.reshape(-1,1) | |
| 1464 | else: |
|
1486 | else: | |
| 1465 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) |
|
1487 | self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1))) | |
| 1466 |
|
1488 | |||
| 1467 |
|
1489 | |||
| 1468 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, |
|
1490 | axes.pmultilineyaxis(x=self.xdata, y=self.ydata, | |
| 1469 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, |
|
1491 | xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, | |
| 1470 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", |
|
1492 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid", | |
| 1471 | XAxisAsTime=True, grid='both' |
|
1493 | XAxisAsTime=True, grid='both' | |
| 1472 | ) |
|
1494 | ) | |
| 1473 |
|
1495 | |||
| 1474 | self.draw() |
|
1496 | self.draw() | |
| 1475 |
|
1497 | |||
| 1476 | if dataOut.ltctime >= self.xmax: |
|
1498 | if dataOut.ltctime >= self.xmax: | |
| 1477 | self.counter_imagwr = wr_period |
|
1499 | self.counter_imagwr = wr_period | |
| 1478 | self.isConfig = False |
|
1500 | self.isConfig = False | |
| 1479 | update_figfile = True |
|
1501 | update_figfile = True | |
| 1480 |
|
1502 | |||
| 1481 | self.save(figpath=figpath, |
|
1503 | self.save(figpath=figpath, | |
| 1482 | figfile=figfile, |
|
1504 | figfile=figfile, | |
| 1483 | save=save, |
|
1505 | save=save, | |
| 1484 | ftp=ftp, |
|
1506 | ftp=ftp, | |
| 1485 | wr_period=wr_period, |
|
1507 | wr_period=wr_period, | |
| 1486 | thisDatetime=thisDatetime, |
|
1508 | thisDatetime=thisDatetime, | |
| 1487 | update_figfile=update_figfile) |
|
1509 | update_figfile=update_figfile) | |
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