| @@ -1,353 +1,368 | |||||
| 1 | import os |
|
1 | import os | |
| 2 | import numpy |
|
2 | import numpy | |
| 3 | import time, datetime |
|
3 | import time, datetime | |
| 4 | import mpldriver |
|
4 | import mpldriver | |
| 5 |
|
5 | |||
| 6 |
|
6 | |||
| 7 | class Figure: |
|
7 | class Figure: | |
| 8 |
|
8 | |||
| 9 | __driver = mpldriver |
|
9 | __driver = mpldriver | |
| 10 | fig = None |
|
10 | fig = None | |
| 11 |
|
11 | |||
| 12 | idfigure = None |
|
12 | idfigure = None | |
| 13 | wintitle = None |
|
13 | wintitle = None | |
| 14 | width = None |
|
14 | width = None | |
| 15 | height = None |
|
15 | height = None | |
| 16 | nplots = None |
|
16 | nplots = None | |
| 17 | timerange = None |
|
17 | timerange = None | |
| 18 |
|
18 | |||
| 19 | axesObjList = [] |
|
19 | axesObjList = [] | |
| 20 |
|
20 | |||
| 21 | WIDTH = None |
|
21 | WIDTH = None | |
| 22 | HEIGHT = None |
|
22 | HEIGHT = None | |
| 23 | PREFIX = 'fig' |
|
23 | PREFIX = 'fig' | |
| 24 |
|
24 | |||
| 25 | def __init__(self): |
|
25 | def __init__(self): | |
| 26 |
|
26 | |||
| 27 | raise ValueError, "This method is not implemented" |
|
27 | raise ValueError, "This method is not implemented" | |
| 28 |
|
28 | |||
| 29 | def __del__(self): |
|
29 | def __del__(self): | |
| 30 |
|
30 | |||
| 31 | self.__driver.closeFigure() |
|
31 | self.__driver.closeFigure() | |
| 32 |
|
32 | |||
| 33 | def getFilename(self, name, ext='.png'): |
|
33 | def getFilename(self, name, ext='.png'): | |
| 34 |
|
34 | |||
| 35 | filename = '%s-%s_%s%s' %(self.wintitle[0:10], self.PREFIX, name, ext) |
|
35 | filename = '%s-%s_%s%s' %(self.wintitle[0:10], self.PREFIX, name, ext) | |
| 36 |
|
36 | |||
| 37 | return filename |
|
37 | return filename | |
| 38 |
|
38 | |||
| 39 | def getAxesObjList(self): |
|
39 | def getAxesObjList(self): | |
| 40 |
|
40 | |||
| 41 | return self.axesObjList |
|
41 | return self.axesObjList | |
| 42 |
|
42 | |||
| 43 | def getSubplots(self): |
|
43 | def getSubplots(self): | |
| 44 |
|
44 | |||
| 45 | raise ValueError, "Abstract method: This method should be defined" |
|
45 | raise ValueError, "Abstract method: This method should be defined" | |
| 46 |
|
46 | |||
| 47 | def getScreenDim(self, widthplot, heightplot): |
|
47 | def getScreenDim(self, widthplot, heightplot): | |
| 48 |
|
48 | |||
| 49 | nrow, ncol = self.getSubplots() |
|
49 | nrow, ncol = self.getSubplots() | |
| 50 |
|
50 | |||
| 51 | widthscreen = widthplot*ncol |
|
51 | widthscreen = widthplot*ncol | |
| 52 | heightscreen = heightplot*nrow |
|
52 | heightscreen = heightplot*nrow | |
| 53 |
|
53 | |||
| 54 | return widthscreen, heightscreen |
|
54 | return widthscreen, heightscreen | |
| 55 |
|
55 | |||
| 56 | def getTimeLim(self, x, xmin, xmax): |
|
56 | def getTimeLim(self, x, xmin, xmax): | |
| 57 |
|
57 | |||
| 58 | thisdatetime = datetime.datetime.fromtimestamp(numpy.min(x)) |
|
58 | thisdatetime = datetime.datetime.fromtimestamp(numpy.min(x)) | |
| 59 | thisdate = datetime.datetime.combine(thisdatetime.date(), datetime.time(0,0,0)) |
|
59 | thisdate = datetime.datetime.combine(thisdatetime.date(), datetime.time(0,0,0)) | |
| 60 |
|
60 | |||
| 61 | #################################################### |
|
61 | #################################################### | |
| 62 | #If the x is out of xrange |
|
62 | #If the x is out of xrange | |
| 63 | if xmax < (thisdatetime - thisdate).seconds/(60*60.): |
|
63 | if xmax < (thisdatetime - thisdate).seconds/(60*60.): | |
| 64 | xmin = None |
|
64 | xmin = None | |
| 65 | xmax = None |
|
65 | xmax = None | |
| 66 |
|
66 | |||
| 67 | if xmin == None: |
|
67 | if xmin == None: | |
| 68 | td = thisdatetime - thisdate |
|
68 | td = thisdatetime - thisdate | |
| 69 | xmin = td.seconds/(60*60.) |
|
69 | xmin = td.seconds/(60*60.) | |
| 70 |
|
70 | |||
| 71 | if xmax == None: |
|
71 | if xmax == None: | |
| 72 | xmax = xmin + self.timerange/(60*60.) |
|
72 | xmax = xmin + self.timerange/(60*60.) | |
| 73 |
|
73 | |||
| 74 | mindt = thisdate + datetime.timedelta(0,0,0,0,0, xmin) |
|
74 | mindt = thisdate + datetime.timedelta(0,0,0,0,0, xmin) | |
| 75 | tmin = time.mktime(mindt.timetuple()) |
|
75 | tmin = time.mktime(mindt.timetuple()) | |
| 76 |
|
76 | |||
| 77 | maxdt = thisdate + datetime.timedelta(0,0,0,0,0, xmax) |
|
77 | maxdt = thisdate + datetime.timedelta(0,0,0,0,0, xmax) | |
| 78 | tmax = time.mktime(maxdt.timetuple()) |
|
78 | tmax = time.mktime(maxdt.timetuple()) | |
| 79 |
|
79 | |||
| 80 | self.timerange = tmax - tmin |
|
80 | self.timerange = tmax - tmin | |
| 81 |
|
81 | |||
| 82 | return tmin, tmax |
|
82 | return tmin, tmax | |
| 83 |
|
83 | |||
| 84 | def init(self, idfigure, nplots, wintitle): |
|
84 | def init(self, idfigure, nplots, wintitle): | |
| 85 |
|
85 | |||
| 86 | raise ValueError, "This method has been replaced with createFigure" |
|
86 | raise ValueError, "This method has been replaced with createFigure" | |
| 87 |
|
87 | |||
| 88 | def createFigure(self, idfigure, wintitle, widthplot=None, heightplot=None): |
|
88 | def createFigure(self, idfigure, wintitle, widthplot=None, heightplot=None): | |
| 89 |
|
89 | |||
| 90 | """ |
|
90 | """ | |
| 91 | Crea la figura de acuerdo al driver y parametros seleccionados seleccionados. |
|
91 | Crea la figura de acuerdo al driver y parametros seleccionados seleccionados. | |
| 92 | Las dimensiones de la pantalla es calculada a partir de los atributos self.WIDTH |
|
92 | Las dimensiones de la pantalla es calculada a partir de los atributos self.WIDTH | |
| 93 | y self.HEIGHT y el numero de subplots (nrow, ncol) |
|
93 | y self.HEIGHT y el numero de subplots (nrow, ncol) | |
| 94 |
|
94 | |||
| 95 | Input: |
|
95 | Input: | |
| 96 | idfigure : Los parametros necesarios son |
|
96 | idfigure : Los parametros necesarios son | |
| 97 | wintitle : |
|
97 | wintitle : | |
| 98 |
|
98 | |||
| 99 | """ |
|
99 | """ | |
| 100 |
|
100 | |||
| 101 | if widthplot == None: |
|
101 | if widthplot == None: | |
| 102 | widthplot = self.WIDTH |
|
102 | widthplot = self.WIDTH | |
| 103 |
|
103 | |||
| 104 | if heightplot == None: |
|
104 | if heightplot == None: | |
| 105 | heightplot = self.HEIGHT |
|
105 | heightplot = self.HEIGHT | |
| 106 |
|
106 | |||
| 107 | self.idfigure = idfigure |
|
107 | self.idfigure = idfigure | |
| 108 |
|
108 | |||
| 109 | self.wintitle = wintitle |
|
109 | self.wintitle = wintitle | |
| 110 |
|
110 | |||
| 111 | self.widthscreen, self.heightscreen = self.getScreenDim(widthplot, heightplot) |
|
111 | self.widthscreen, self.heightscreen = self.getScreenDim(widthplot, heightplot) | |
| 112 |
|
112 | |||
| 113 | self.fig = self.__driver.createFigure(self.idfigure, |
|
113 | self.fig = self.__driver.createFigure(self.idfigure, | |
| 114 | self.wintitle, |
|
114 | self.wintitle, | |
| 115 | self.widthscreen, |
|
115 | self.widthscreen, | |
| 116 | self.heightscreen) |
|
116 | self.heightscreen) | |
| 117 |
|
117 | |||
| 118 | self.axesObjList = [] |
|
118 | self.axesObjList = [] | |
| 119 |
|
119 | |||
| 120 | def setDriver(self, driver=mpldriver): |
|
120 | def setDriver(self, driver=mpldriver): | |
| 121 |
|
121 | |||
| 122 | self.__driver = driver |
|
122 | self.__driver = driver | |
| 123 |
|
123 | |||
| 124 | def setTitle(self, title): |
|
124 | def setTitle(self, title): | |
| 125 |
|
125 | |||
| 126 | self.__driver.setTitle(self.fig, title) |
|
126 | self.__driver.setTitle(self.fig, title) | |
| 127 |
|
127 | |||
| 128 | def setWinTitle(self, title): |
|
128 | def setWinTitle(self, title): | |
| 129 |
|
129 | |||
| 130 | self.__driver.setWinTitle(self.fig, title=title) |
|
130 | self.__driver.setWinTitle(self.fig, title=title) | |
| 131 |
|
131 | |||
| 132 | def setTextFromAxes(self, text): |
|
132 | def setTextFromAxes(self, text): | |
| 133 |
|
133 | |||
| 134 | raise ValueError, "Este metodo ha sido reemplazaado con el metodo setText de la clase Axes" |
|
134 | raise ValueError, "Este metodo ha sido reemplazaado con el metodo setText de la clase Axes" | |
| 135 |
|
135 | |||
| 136 | def makeAxes(self, nrow, ncol, xpos, ypos, colspan, rowspan): |
|
136 | def makeAxes(self, nrow, ncol, xpos, ypos, colspan, rowspan): | |
| 137 |
|
137 | |||
| 138 | raise ValueError, "Este metodo ha sido reemplazaado con el metodo addAxes" |
|
138 | raise ValueError, "Este metodo ha sido reemplazaado con el metodo addAxes" | |
| 139 |
|
139 | |||
| 140 | def addAxes(self, *args): |
|
140 | def addAxes(self, *args): | |
| 141 | """ |
|
141 | """ | |
| 142 |
|
142 | |||
| 143 | Input: |
|
143 | Input: | |
| 144 | *args : Los parametros necesarios son |
|
144 | *args : Los parametros necesarios son | |
| 145 | nrow, ncol, xpos, ypos, colspan, rowspan |
|
145 | nrow, ncol, xpos, ypos, colspan, rowspan | |
| 146 | """ |
|
146 | """ | |
| 147 |
|
147 | |||
| 148 | axesObj = Axes(self.fig, *args) |
|
148 | axesObj = Axes(self.fig, *args) | |
| 149 | self.axesObjList.append(axesObj) |
|
149 | self.axesObjList.append(axesObj) | |
| 150 |
|
150 | |||
| 151 | def saveFigure(self, figpath, figfile, *args): |
|
151 | def saveFigure(self, figpath, figfile, *args): | |
| 152 |
|
152 | |||
| 153 | filename = os.path.join(figpath, figfile) |
|
153 | filename = os.path.join(figpath, figfile) | |
| 154 | self.__driver.saveFigure(self.fig, filename, *args) |
|
154 | self.__driver.saveFigure(self.fig, filename, *args) | |
| 155 |
|
155 | |||
| 156 | def draw(self): |
|
156 | def draw(self): | |
| 157 |
|
157 | |||
| 158 | self.__driver.draw(self.fig) |
|
158 | self.__driver.draw(self.fig) | |
| 159 |
|
159 | |||
| 160 | def run(self): |
|
160 | def run(self): | |
| 161 |
|
161 | |||
| 162 | raise ValueError, "This method is not implemented" |
|
162 | raise ValueError, "This method is not implemented" | |
| 163 |
|
163 | |||
| 164 | axesList = property(getAxesObjList) |
|
164 | axesList = property(getAxesObjList) | |
| 165 |
|
165 | |||
| 166 |
|
166 | |||
| 167 | class Axes: |
|
167 | class Axes: | |
| 168 |
|
168 | |||
| 169 | __driver = mpldriver |
|
169 | __driver = mpldriver | |
| 170 | fig = None |
|
170 | fig = None | |
| 171 | ax = None |
|
171 | ax = None | |
| 172 | plot = None |
|
172 | plot = None | |
| 173 |
|
173 | |||
| 174 | __firsttime = None |
|
174 | __firsttime = None | |
| 175 |
|
175 | |||
| 176 | __showprofile = False |
|
176 | __showprofile = False | |
| 177 |
|
177 | |||
| 178 | xmin = None |
|
178 | xmin = None | |
| 179 | xmax = None |
|
179 | xmax = None | |
| 180 | ymin = None |
|
180 | ymin = None | |
| 181 | ymax = None |
|
181 | ymax = None | |
| 182 | zmin = None |
|
182 | zmin = None | |
| 183 | zmax = None |
|
183 | zmax = None | |
| 184 |
|
184 | |||
| 185 | def __init__(self, *args): |
|
185 | def __init__(self, *args): | |
| 186 |
|
186 | |||
| 187 | """ |
|
187 | """ | |
| 188 |
|
188 | |||
| 189 | Input: |
|
189 | Input: | |
| 190 | *args : Los parametros necesarios son |
|
190 | *args : Los parametros necesarios son | |
| 191 | fig, nrow, ncol, xpos, ypos, colspan, rowspan |
|
191 | fig, nrow, ncol, xpos, ypos, colspan, rowspan | |
| 192 | """ |
|
192 | """ | |
| 193 |
|
193 | |||
| 194 | ax = self.__driver.createAxes(*args) |
|
194 | ax = self.__driver.createAxes(*args) | |
| 195 | self.fig = args[0] |
|
195 | self.fig = args[0] | |
| 196 | self.ax = ax |
|
196 | self.ax = ax | |
| 197 | self.plot = None |
|
197 | self.plot = None | |
| 198 |
|
198 | |||
| 199 | self.__firsttime = True |
|
199 | self.__firsttime = True | |
|
|
200 | self.idlineList = [] | |||
| 200 |
|
201 | |||
| 201 | def setText(self, text): |
|
202 | def setText(self, text): | |
| 202 |
|
203 | |||
| 203 | self.__driver.setAxesText(self.ax, text) |
|
204 | self.__driver.setAxesText(self.ax, text) | |
| 204 |
|
205 | |||
| 205 | def setXAxisAsTime(self): |
|
206 | def setXAxisAsTime(self): | |
| 206 | pass |
|
207 | pass | |
| 207 |
|
208 | |||
| 208 | def pline(self, x, y, |
|
209 | def pline(self, x, y, | |
| 209 | xmin=None, xmax=None, |
|
210 | xmin=None, xmax=None, | |
| 210 | ymin=None, ymax=None, |
|
211 | ymin=None, ymax=None, | |
| 211 | xlabel='', ylabel='', |
|
212 | xlabel='', ylabel='', | |
| 212 | title='', |
|
213 | title='', | |
| 213 | **kwargs): |
|
214 | **kwargs): | |
| 214 |
|
215 | |||
| 215 | """ |
|
216 | """ | |
| 216 |
|
217 | |||
| 217 | Input: |
|
218 | Input: | |
| 218 | x : |
|
219 | x : | |
| 219 | y : |
|
220 | y : | |
| 220 | xmin : |
|
221 | xmin : | |
| 221 | xmax : |
|
222 | xmax : | |
| 222 | ymin : |
|
223 | ymin : | |
| 223 | ymax : |
|
224 | ymax : | |
| 224 | xlabel : |
|
225 | xlabel : | |
| 225 | ylabel : |
|
226 | ylabel : | |
| 226 | title : |
|
227 | title : | |
| 227 | **kwargs : Los parametros aceptados son |
|
228 | **kwargs : Los parametros aceptados son | |
| 228 |
|
229 | |||
| 229 | ticksize |
|
230 | ticksize | |
| 230 | ytick_visible |
|
231 | ytick_visible | |
| 231 | """ |
|
232 | """ | |
| 232 |
|
233 | |||
| 233 | if self.__firsttime: |
|
234 | if self.__firsttime: | |
| 234 |
|
235 | |||
| 235 | if xmin == None: xmin = numpy.nanmin(x) |
|
236 | if xmin == None: xmin = numpy.nanmin(x) | |
| 236 | if xmax == None: xmax = numpy.nanmax(x) |
|
237 | if xmax == None: xmax = numpy.nanmax(x) | |
| 237 | if ymin == None: ymin = numpy.nanmin(y) |
|
238 | if ymin == None: ymin = numpy.nanmin(y) | |
| 238 | if ymax == None: ymax = numpy.nanmax(y) |
|
239 | if ymax == None: ymax = numpy.nanmax(y) | |
| 239 |
|
240 | |||
| 240 | self.plot = self.__driver.createPline(self.ax, x, y, |
|
241 | self.plot = self.__driver.createPline(self.ax, x, y, | |
| 241 | xmin, xmax, |
|
242 | xmin, xmax, | |
| 242 | ymin, ymax, |
|
243 | ymin, ymax, | |
| 243 | xlabel=xlabel, |
|
244 | xlabel=xlabel, | |
| 244 | ylabel=ylabel, |
|
245 | ylabel=ylabel, | |
| 245 | title=title, |
|
246 | title=title, | |
| 246 | **kwargs) |
|
247 | **kwargs) | |
|
|
248 | ||||
|
|
249 | self.idlineList.append(0) | |||
| 247 | self.__firsttime = False |
|
250 | self.__firsttime = False | |
| 248 | return |
|
251 | return | |
| 249 |
|
252 | |||
| 250 | self.__driver.pline(self.plot, x, y, xlabel=xlabel, |
|
253 | self.__driver.pline(self.plot, x, y, xlabel=xlabel, | |
| 251 | ylabel=ylabel, |
|
254 | ylabel=ylabel, | |
| 252 | title=title) |
|
255 | title=title) | |
|
|
256 | ||||
|
|
257 | def addpline(self, x, y, idline, **kwargs): | |||
|
|
258 | lines = self.ax.lines | |||
|
|
259 | ||||
|
|
260 | if idline in self.idlineList: | |||
|
|
261 | self.__driver.set_linedata(self.ax, x, y, idline) | |||
|
|
262 | ||||
|
|
263 | if idline not in(self.idlineList): | |||
|
|
264 | self.__driver.addpline(self.ax, x, y, **kwargs) | |||
|
|
265 | self.idlineList.append(idline) | |||
|
|
266 | ||||
|
|
267 | return | |||
| 253 |
|
268 | |||
| 254 | def pmultiline(self, x, y, |
|
269 | def pmultiline(self, x, y, | |
| 255 | xmin=None, xmax=None, |
|
270 | xmin=None, xmax=None, | |
| 256 | ymin=None, ymax=None, |
|
271 | ymin=None, ymax=None, | |
| 257 | xlabel='', ylabel='', |
|
272 | xlabel='', ylabel='', | |
| 258 | title='', |
|
273 | title='', | |
| 259 | **kwargs): |
|
274 | **kwargs): | |
| 260 |
|
275 | |||
| 261 | if self.__firsttime: |
|
276 | if self.__firsttime: | |
| 262 |
|
277 | |||
| 263 | if xmin == None: xmin = numpy.nanmin(x) |
|
278 | if xmin == None: xmin = numpy.nanmin(x) | |
| 264 | if xmax == None: xmax = numpy.nanmax(x) |
|
279 | if xmax == None: xmax = numpy.nanmax(x) | |
| 265 | if ymin == None: ymin = numpy.nanmin(y) |
|
280 | if ymin == None: ymin = numpy.nanmin(y) | |
| 266 | if ymax == None: ymax = numpy.nanmax(y) |
|
281 | if ymax == None: ymax = numpy.nanmax(y) | |
| 267 |
|
282 | |||
| 268 | self.plot = self.__driver.createPmultiline(self.ax, x, y, |
|
283 | self.plot = self.__driver.createPmultiline(self.ax, x, y, | |
| 269 | xmin, xmax, |
|
284 | xmin, xmax, | |
| 270 | ymin, ymax, |
|
285 | ymin, ymax, | |
| 271 | xlabel=xlabel, |
|
286 | xlabel=xlabel, | |
| 272 | ylabel=ylabel, |
|
287 | ylabel=ylabel, | |
| 273 | title=title, |
|
288 | title=title, | |
| 274 | **kwargs) |
|
289 | **kwargs) | |
| 275 | self.__firsttime = False |
|
290 | self.__firsttime = False | |
| 276 | return |
|
291 | return | |
| 277 |
|
292 | |||
| 278 | self.__driver.pmultiline(self.plot, x, y, xlabel=xlabel, |
|
293 | self.__driver.pmultiline(self.plot, x, y, xlabel=xlabel, | |
| 279 | ylabel=ylabel, |
|
294 | ylabel=ylabel, | |
| 280 | title=title) |
|
295 | title=title) | |
| 281 |
|
296 | |||
| 282 | def pcolor(self, x, y, z, |
|
297 | def pcolor(self, x, y, z, | |
| 283 | xmin=None, xmax=None, |
|
298 | xmin=None, xmax=None, | |
| 284 | ymin=None, ymax=None, |
|
299 | ymin=None, ymax=None, | |
| 285 | zmin=None, zmax=None, |
|
300 | zmin=None, zmax=None, | |
| 286 | xlabel='', ylabel='', |
|
301 | xlabel='', ylabel='', | |
| 287 | title='', rti = False, colormap='jet', |
|
302 | title='', rti = False, colormap='jet', | |
| 288 | **kwargs): |
|
303 | **kwargs): | |
| 289 |
|
304 | |||
| 290 | """ |
|
305 | """ | |
| 291 | Input: |
|
306 | Input: | |
| 292 | x : |
|
307 | x : | |
| 293 | y : |
|
308 | y : | |
| 294 | x : |
|
309 | x : | |
| 295 | xmin : |
|
310 | xmin : | |
| 296 | xmax : |
|
311 | xmax : | |
| 297 | ymin : |
|
312 | ymin : | |
| 298 | ymax : |
|
313 | ymax : | |
| 299 | zmin : |
|
314 | zmin : | |
| 300 | zmax : |
|
315 | zmax : | |
| 301 | xlabel : |
|
316 | xlabel : | |
| 302 | ylabel : |
|
317 | ylabel : | |
| 303 | title : |
|
318 | title : | |
| 304 | **kwargs : Los parametros aceptados son |
|
319 | **kwargs : Los parametros aceptados son | |
| 305 | ticksize=9, |
|
320 | ticksize=9, | |
| 306 | cblabel='' |
|
321 | cblabel='' | |
| 307 | rti = True or False |
|
322 | rti = True or False | |
| 308 | """ |
|
323 | """ | |
| 309 |
|
324 | |||
| 310 | if self.__firsttime: |
|
325 | if self.__firsttime: | |
| 311 |
|
326 | |||
| 312 | if xmin == None: xmin = numpy.nanmin(x) |
|
327 | if xmin == None: xmin = numpy.nanmin(x) | |
| 313 | if xmax == None: xmax = numpy.nanmax(x) |
|
328 | if xmax == None: xmax = numpy.nanmax(x) | |
| 314 | if ymin == None: ymin = numpy.nanmin(y) |
|
329 | if ymin == None: ymin = numpy.nanmin(y) | |
| 315 | if ymax == None: ymax = numpy.nanmax(y) |
|
330 | if ymax == None: ymax = numpy.nanmax(y) | |
| 316 | if zmin == None: zmin = numpy.nanmin(z) |
|
331 | if zmin == None: zmin = numpy.nanmin(z) | |
| 317 | if zmax == None: zmax = numpy.nanmax(z) |
|
332 | if zmax == None: zmax = numpy.nanmax(z) | |
| 318 |
|
333 | |||
| 319 |
|
334 | |||
| 320 | self.plot = self.__driver.createPcolor(self.ax, x, y, z, |
|
335 | self.plot = self.__driver.createPcolor(self.ax, x, y, z, | |
| 321 | xmin, xmax, |
|
336 | xmin, xmax, | |
| 322 | ymin, ymax, |
|
337 | ymin, ymax, | |
| 323 | zmin, zmax, |
|
338 | zmin, zmax, | |
| 324 | xlabel=xlabel, |
|
339 | xlabel=xlabel, | |
| 325 | ylabel=ylabel, |
|
340 | ylabel=ylabel, | |
| 326 | title=title, |
|
341 | title=title, | |
| 327 | colormap=colormap, |
|
342 | colormap=colormap, | |
| 328 | **kwargs) |
|
343 | **kwargs) | |
| 329 |
|
344 | |||
| 330 | if self.xmin == None: self.xmin = xmin |
|
345 | if self.xmin == None: self.xmin = xmin | |
| 331 | if self.xmax == None: self.xmax = xmax |
|
346 | if self.xmax == None: self.xmax = xmax | |
| 332 | if self.ymin == None: self.ymin = ymin |
|
347 | if self.ymin == None: self.ymin = ymin | |
| 333 | if self.ymax == None: self.ymax = ymax |
|
348 | if self.ymax == None: self.ymax = ymax | |
| 334 | if self.zmin == None: self.zmin = zmin |
|
349 | if self.zmin == None: self.zmin = zmin | |
| 335 | if self.zmax == None: self.zmax = zmax |
|
350 | if self.zmax == None: self.zmax = zmax | |
| 336 |
|
351 | |||
| 337 | self.__firsttime = False |
|
352 | self.__firsttime = False | |
| 338 | return |
|
353 | return | |
| 339 |
|
354 | |||
| 340 | if rti: |
|
355 | if rti: | |
| 341 | self.__driver.addpcolor(self.ax, x, y, z, self.zmin, self.zmax, |
|
356 | self.__driver.addpcolor(self.ax, x, y, z, self.zmin, self.zmax, | |
| 342 | xlabel=xlabel, |
|
357 | xlabel=xlabel, | |
| 343 | ylabel=ylabel, |
|
358 | ylabel=ylabel, | |
| 344 | title=title, |
|
359 | title=title, | |
| 345 | colormap=colormap) |
|
360 | colormap=colormap) | |
| 346 | return |
|
361 | return | |
| 347 |
|
362 | |||
| 348 | self.__driver.pcolor(self.plot, z, |
|
363 | self.__driver.pcolor(self.plot, z, | |
| 349 | xlabel=xlabel, |
|
364 | xlabel=xlabel, | |
| 350 | ylabel=ylabel, |
|
365 | ylabel=ylabel, | |
| 351 | title=title) |
|
366 | title=title) | |
| 352 |
|
367 | |||
| 353 | No newline at end of file |
|
368 | ||
| @@ -1,268 +1,275 | |||||
| 1 | import numpy |
|
1 | import numpy | |
| 2 | import datetime |
|
2 | import datetime | |
| 3 | import matplotlib |
|
3 | import matplotlib | |
| 4 | matplotlib.use("TKAgg") |
|
4 | matplotlib.use("TKAgg") | |
| 5 | import matplotlib.pyplot |
|
5 | import matplotlib.pyplot | |
| 6 | import matplotlib.dates |
|
6 | import matplotlib.dates | |
| 7 | #import scitools.numpyutils |
|
7 | #import scitools.numpyutils | |
| 8 | from mpl_toolkits.axes_grid1 import make_axes_locatable |
|
8 | from mpl_toolkits.axes_grid1 import make_axes_locatable | |
| 9 |
|
9 | |||
| 10 | from matplotlib.dates import DayLocator, HourLocator, MinuteLocator, SecondLocator, DateFormatter |
|
10 | from matplotlib.dates import DayLocator, HourLocator, MinuteLocator, SecondLocator, DateFormatter | |
| 11 | from matplotlib.ticker import FuncFormatter |
|
11 | from matplotlib.ticker import FuncFormatter | |
| 12 | from matplotlib.ticker import * |
|
12 | from matplotlib.ticker import * | |
| 13 |
|
13 | |||
| 14 | ########################################### |
|
14 | ########################################### | |
| 15 | #Actualizacion de las funciones del driver |
|
15 | #Actualizacion de las funciones del driver | |
| 16 | ########################################### |
|
16 | ########################################### | |
| 17 |
|
17 | |||
| 18 | def createFigure(idfigure, wintitle, width, height, facecolor="w"): |
|
18 | def createFigure(idfigure, wintitle, width, height, facecolor="w"): | |
| 19 |
|
19 | |||
| 20 | matplotlib.pyplot.ioff() |
|
20 | matplotlib.pyplot.ioff() | |
| 21 | fig = matplotlib.pyplot.figure(num=idfigure, facecolor=facecolor) |
|
21 | fig = matplotlib.pyplot.figure(num=idfigure, facecolor=facecolor) | |
| 22 | fig.canvas.manager.set_window_title(wintitle) |
|
22 | fig.canvas.manager.set_window_title(wintitle) | |
| 23 | fig.canvas.manager.resize(width, height) |
|
23 | fig.canvas.manager.resize(width, height) | |
| 24 | matplotlib.pyplot.ion() |
|
24 | matplotlib.pyplot.ion() | |
| 25 |
|
25 | |||
| 26 | return fig |
|
26 | return fig | |
| 27 |
|
27 | |||
| 28 | def closeFigure(): |
|
28 | def closeFigure(): | |
| 29 |
|
29 | |||
| 30 | matplotlib.pyplot.ioff() |
|
30 | matplotlib.pyplot.ioff() | |
| 31 | matplotlib.pyplot.show() |
|
31 | matplotlib.pyplot.show() | |
| 32 |
|
32 | |||
| 33 | return |
|
33 | return | |
| 34 |
|
34 | |||
| 35 | def saveFigure(fig, filename): |
|
35 | def saveFigure(fig, filename): | |
| 36 | fig.savefig(filename) |
|
36 | fig.savefig(filename) | |
| 37 |
|
37 | |||
| 38 | def setWinTitle(fig, title): |
|
38 | def setWinTitle(fig, title): | |
| 39 |
|
39 | |||
| 40 | fig.canvas.manager.set_window_title(title) |
|
40 | fig.canvas.manager.set_window_title(title) | |
| 41 |
|
41 | |||
| 42 | def setTitle(fig, title): |
|
42 | def setTitle(fig, title): | |
| 43 |
|
43 | |||
| 44 | fig.suptitle(title) |
|
44 | fig.suptitle(title) | |
| 45 |
|
45 | |||
| 46 | def createAxes(fig, nrow, ncol, xpos, ypos, colspan, rowspan): |
|
46 | def createAxes(fig, nrow, ncol, xpos, ypos, colspan, rowspan): | |
| 47 |
|
47 | |||
| 48 | matplotlib.pyplot.figure(fig.number) |
|
48 | matplotlib.pyplot.figure(fig.number) | |
| 49 | axes = matplotlib.pyplot.subplot2grid((nrow, ncol), |
|
49 | axes = matplotlib.pyplot.subplot2grid((nrow, ncol), | |
| 50 | (xpos, ypos), |
|
50 | (xpos, ypos), | |
| 51 | colspan=colspan, |
|
51 | colspan=colspan, | |
| 52 | rowspan=rowspan) |
|
52 | rowspan=rowspan) | |
| 53 | return axes |
|
53 | return axes | |
| 54 |
|
54 | |||
| 55 | def setAxesText(ax, text): |
|
55 | def setAxesText(ax, text): | |
| 56 |
|
56 | |||
| 57 | ax.annotate(text, |
|
57 | ax.annotate(text, | |
| 58 | xy = (.1, .99), |
|
58 | xy = (.1, .99), | |
| 59 | xycoords = 'figure fraction', |
|
59 | xycoords = 'figure fraction', | |
| 60 | horizontalalignment = 'left', |
|
60 | horizontalalignment = 'left', | |
| 61 | verticalalignment = 'top', |
|
61 | verticalalignment = 'top', | |
| 62 | fontsize = 10) |
|
62 | fontsize = 10) | |
| 63 |
|
63 | |||
| 64 | def printLabels(ax, xlabel, ylabel, title): |
|
64 | def printLabels(ax, xlabel, ylabel, title): | |
| 65 |
|
65 | |||
| 66 | ax.set_xlabel(xlabel, size=11) |
|
66 | ax.set_xlabel(xlabel, size=11) | |
| 67 | ax.set_ylabel(ylabel, size=11) |
|
67 | ax.set_ylabel(ylabel, size=11) | |
| 68 | ax.set_title(title, size=12) |
|
68 | ax.set_title(title, size=12) | |
| 69 |
|
69 | |||
| 70 | def createPline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', |
|
70 | def createPline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', | |
| 71 | ticksize=9, xtick_visible=True, ytick_visible=True, |
|
71 | ticksize=9, xtick_visible=True, ytick_visible=True, | |
| 72 | nxticks=4, nyticks=10, |
|
72 | nxticks=4, nyticks=10, | |
| 73 | grid=None): |
|
73 | grid=None): | |
| 74 |
|
74 | |||
| 75 | """ |
|
75 | """ | |
| 76 |
|
76 | |||
| 77 | Input: |
|
77 | Input: | |
| 78 | grid : None, 'both', 'x', 'y' |
|
78 | grid : None, 'both', 'x', 'y' | |
| 79 | """ |
|
79 | """ | |
| 80 |
|
80 | |||
| 81 | ax.plot(x, y) |
|
81 | ax.plot(x, y) | |
| 82 | ax.set_xlim([xmin,xmax]) |
|
82 | ax.set_xlim([xmin,xmax]) | |
| 83 | ax.set_ylim([ymin,ymax]) |
|
83 | ax.set_ylim([ymin,ymax]) | |
| 84 |
|
84 | |||
| 85 | printLabels(ax, xlabel, ylabel, title) |
|
85 | printLabels(ax, xlabel, ylabel, title) | |
| 86 |
|
86 | |||
| 87 | ###################################################### |
|
87 | ###################################################### | |
| 88 | if (xmax-xmin)<=1: |
|
88 | if (xmax-xmin)<=1: | |
| 89 | xtickspos = numpy.linspace(xmin,xmax,nxticks) |
|
89 | xtickspos = numpy.linspace(xmin,xmax,nxticks) | |
| 90 | xtickspos = numpy.array([float("%.1f"%i) for i in xtickspos]) |
|
90 | xtickspos = numpy.array([float("%.1f"%i) for i in xtickspos]) | |
| 91 | ax.set_xticks(xtickspos) |
|
91 | ax.set_xticks(xtickspos) | |
| 92 | else: |
|
92 | else: | |
| 93 | xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin) |
|
93 | xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin) | |
| 94 | ax.set_xticks(xtickspos) |
|
94 | ax.set_xticks(xtickspos) | |
| 95 |
|
95 | |||
| 96 | for tick in ax.get_xticklabels(): |
|
96 | for tick in ax.get_xticklabels(): | |
| 97 | tick.set_visible(xtick_visible) |
|
97 | tick.set_visible(xtick_visible) | |
| 98 |
|
98 | |||
| 99 | for tick in ax.xaxis.get_major_ticks(): |
|
99 | for tick in ax.xaxis.get_major_ticks(): | |
| 100 | tick.label.set_fontsize(ticksize) |
|
100 | tick.label.set_fontsize(ticksize) | |
| 101 |
|
101 | |||
| 102 | ###################################################### |
|
102 | ###################################################### | |
| 103 | for tick in ax.get_yticklabels(): |
|
103 | for tick in ax.get_yticklabels(): | |
| 104 | tick.set_visible(ytick_visible) |
|
104 | tick.set_visible(ytick_visible) | |
| 105 |
|
105 | |||
| 106 | for tick in ax.yaxis.get_major_ticks(): |
|
106 | for tick in ax.yaxis.get_major_ticks(): | |
| 107 | tick.label.set_fontsize(ticksize) |
|
107 | tick.label.set_fontsize(ticksize) | |
| 108 |
|
108 | |||
| 109 | iplot = ax.lines[-1] |
|
109 | iplot = ax.lines[-1] | |
| 110 |
|
110 | |||
| 111 | ###################################################### |
|
111 | ###################################################### | |
| 112 | if '0.' in matplotlib.__version__[0:2]: |
|
112 | if '0.' in matplotlib.__version__[0:2]: | |
| 113 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
113 | print "The matplotlib version has to be updated to 1.1 or newer" | |
| 114 | return iplot |
|
114 | return iplot | |
| 115 |
|
115 | |||
| 116 | if '1.0.' in matplotlib.__version__[0:4]: |
|
116 | if '1.0.' in matplotlib.__version__[0:4]: | |
| 117 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
117 | print "The matplotlib version has to be updated to 1.1 or newer" | |
| 118 | return iplot |
|
118 | return iplot | |
| 119 |
|
119 | |||
| 120 | if grid != None: |
|
120 | if grid != None: | |
| 121 | ax.grid(b=True, which='major', axis=grid) |
|
121 | ax.grid(b=True, which='major', axis=grid) | |
| 122 |
|
122 | |||
| 123 | matplotlib.pyplot.tight_layout() |
|
123 | matplotlib.pyplot.tight_layout() | |
| 124 |
|
124 | |||
| 125 | return iplot |
|
125 | return iplot | |
| 126 |
|
126 | |||
| 127 | def pline(iplot, x, y, xlabel='', ylabel='', title=''): |
|
127 | def pline(iplot, x, y, xlabel='', ylabel='', title=''): | |
| 128 |
|
128 | |||
| 129 | ax = iplot.get_axes() |
|
129 | ax = iplot.get_axes() | |
| 130 |
|
130 | |||
| 131 | printLabels(ax, xlabel, ylabel, title) |
|
131 | printLabels(ax, xlabel, ylabel, title) | |
| 132 |
|
132 | |||
| 133 |
|
|
133 | set_linedata(ax, x, y, idline=0) | |
|
|
134 | ||||
|
|
135 | def addpline(ax, x, y, color, linestyle, lw): | |||
|
|
136 | ax.plot(x,y,color=color,linestyle=linestyle,lw=lw) | |||
|
|
137 | ||||
|
|
138 | ||||
|
|
139 | def set_linedata(ax, x, y, idline): | |||
|
|
140 | ax.lines[idline].set_data(x,y) | |||
| 134 |
|
141 | |||
| 135 | def createPmultiline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None, |
|
142 | def createPmultiline(ax, x, y, xmin, xmax, ymin, ymax, xlabel='', ylabel='', title='', legendlabels=None, | |
| 136 | ticksize=9, xtick_visible=True, ytick_visible=True, |
|
143 | ticksize=9, xtick_visible=True, ytick_visible=True, | |
| 137 | nxticks=4, nyticks=10, |
|
144 | nxticks=4, nyticks=10, | |
| 138 | grid=None): |
|
145 | grid=None): | |
| 139 |
|
146 | |||
| 140 | """ |
|
147 | """ | |
| 141 |
|
148 | |||
| 142 | Input: |
|
149 | Input: | |
| 143 | grid : None, 'both', 'x', 'y' |
|
150 | grid : None, 'both', 'x', 'y' | |
| 144 | """ |
|
151 | """ | |
| 145 |
|
152 | |||
| 146 | lines = ax.plot(x.T, y) |
|
153 | lines = ax.plot(x.T, y) | |
| 147 | leg = ax.legend(lines, legendlabels, loc='upper left') |
|
154 | leg = ax.legend(lines, legendlabels, loc='upper left') | |
| 148 | leg.get_frame().set_alpha(0.5) |
|
155 | leg.get_frame().set_alpha(0.5) | |
| 149 | ax.set_xlim([xmin,xmax]) |
|
156 | ax.set_xlim([xmin,xmax]) | |
| 150 | ax.set_ylim([ymin,ymax]) |
|
157 | ax.set_ylim([ymin,ymax]) | |
| 151 | printLabels(ax, xlabel, ylabel, title) |
|
158 | printLabels(ax, xlabel, ylabel, title) | |
| 152 |
|
159 | |||
| 153 | xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin) |
|
160 | xtickspos = numpy.arange(nxticks)*int((xmax-xmin)/(nxticks)) + int(xmin) | |
| 154 | ax.set_xticks(xtickspos) |
|
161 | ax.set_xticks(xtickspos) | |
| 155 |
|
162 | |||
| 156 | for tick in ax.get_xticklabels(): |
|
163 | for tick in ax.get_xticklabels(): | |
| 157 | tick.set_visible(xtick_visible) |
|
164 | tick.set_visible(xtick_visible) | |
| 158 |
|
165 | |||
| 159 | for tick in ax.xaxis.get_major_ticks(): |
|
166 | for tick in ax.xaxis.get_major_ticks(): | |
| 160 | tick.label.set_fontsize(ticksize) |
|
167 | tick.label.set_fontsize(ticksize) | |
| 161 |
|
168 | |||
| 162 | for tick in ax.get_yticklabels(): |
|
169 | for tick in ax.get_yticklabels(): | |
| 163 | tick.set_visible(ytick_visible) |
|
170 | tick.set_visible(ytick_visible) | |
| 164 |
|
171 | |||
| 165 | for tick in ax.yaxis.get_major_ticks(): |
|
172 | for tick in ax.yaxis.get_major_ticks(): | |
| 166 | tick.label.set_fontsize(ticksize) |
|
173 | tick.label.set_fontsize(ticksize) | |
| 167 |
|
174 | |||
| 168 | iplot = ax.lines[-1] |
|
175 | iplot = ax.lines[-1] | |
| 169 |
|
176 | |||
| 170 | if '0.' in matplotlib.__version__[0:2]: |
|
177 | if '0.' in matplotlib.__version__[0:2]: | |
| 171 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
178 | print "The matplotlib version has to be updated to 1.1 or newer" | |
| 172 | return iplot |
|
179 | return iplot | |
| 173 |
|
180 | |||
| 174 | if '1.0.' in matplotlib.__version__[0:4]: |
|
181 | if '1.0.' in matplotlib.__version__[0:4]: | |
| 175 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
182 | print "The matplotlib version has to be updated to 1.1 or newer" | |
| 176 | return iplot |
|
183 | return iplot | |
| 177 |
|
184 | |||
| 178 | if grid != None: |
|
185 | if grid != None: | |
| 179 | ax.grid(b=True, which='major', axis=grid) |
|
186 | ax.grid(b=True, which='major', axis=grid) | |
| 180 |
|
187 | |||
| 181 | matplotlib.pyplot.tight_layout() |
|
188 | matplotlib.pyplot.tight_layout() | |
| 182 |
|
189 | |||
| 183 | return iplot |
|
190 | return iplot | |
| 184 |
|
191 | |||
| 185 |
|
192 | |||
| 186 | def pmultiline(iplot, x, y, xlabel='', ylabel='', title=''): |
|
193 | def pmultiline(iplot, x, y, xlabel='', ylabel='', title=''): | |
| 187 |
|
194 | |||
| 188 | ax = iplot.get_axes() |
|
195 | ax = iplot.get_axes() | |
| 189 |
|
196 | |||
| 190 | printLabels(ax, xlabel, ylabel, title) |
|
197 | printLabels(ax, xlabel, ylabel, title) | |
| 191 |
|
198 | |||
| 192 | for i in range(len(ax.lines)): |
|
199 | for i in range(len(ax.lines)): | |
| 193 | line = ax.lines[i] |
|
200 | line = ax.lines[i] | |
| 194 | line.set_data(x[i,:],y) |
|
201 | line.set_data(x[i,:],y) | |
| 195 |
|
202 | |||
| 196 | def createPcolor(ax, x, y, z, xmin, xmax, ymin, ymax, zmin, zmax, |
|
203 | def createPcolor(ax, x, y, z, xmin, xmax, ymin, ymax, zmin, zmax, | |
| 197 | xlabel='', ylabel='', title='', ticksize = 9, |
|
204 | xlabel='', ylabel='', title='', ticksize = 9, | |
| 198 | colormap='jet',cblabel='', cbsize="5%", |
|
205 | colormap='jet',cblabel='', cbsize="5%", | |
| 199 | XAxisAsTime=False): |
|
206 | XAxisAsTime=False): | |
| 200 |
|
207 | |||
| 201 | divider = make_axes_locatable(ax) |
|
208 | divider = make_axes_locatable(ax) | |
| 202 | ax_cb = divider.new_horizontal(size=cbsize, pad=0.05) |
|
209 | ax_cb = divider.new_horizontal(size=cbsize, pad=0.05) | |
| 203 | fig = ax.get_figure() |
|
210 | fig = ax.get_figure() | |
| 204 | fig.add_axes(ax_cb) |
|
211 | fig.add_axes(ax_cb) | |
| 205 |
|
212 | |||
| 206 | ax.set_xlim([xmin,xmax]) |
|
213 | ax.set_xlim([xmin,xmax]) | |
| 207 | ax.set_ylim([ymin,ymax]) |
|
214 | ax.set_ylim([ymin,ymax]) | |
| 208 |
|
215 | |||
| 209 | printLabels(ax, xlabel, ylabel, title) |
|
216 | printLabels(ax, xlabel, ylabel, title) | |
| 210 |
|
217 | |||
| 211 | imesh = ax.pcolormesh(x,y,z.T, vmin=zmin, vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap)) |
|
218 | imesh = ax.pcolormesh(x,y,z.T, vmin=zmin, vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap)) | |
| 212 | cb = matplotlib.pyplot.colorbar(imesh, cax=ax_cb) |
|
219 | cb = matplotlib.pyplot.colorbar(imesh, cax=ax_cb) | |
| 213 | cb.set_label(cblabel) |
|
220 | cb.set_label(cblabel) | |
| 214 |
|
221 | |||
| 215 | # for tl in ax_cb.get_yticklabels(): |
|
222 | # for tl in ax_cb.get_yticklabels(): | |
| 216 | # tl.set_visible(True) |
|
223 | # tl.set_visible(True) | |
| 217 |
|
224 | |||
| 218 | for tick in ax.yaxis.get_major_ticks(): |
|
225 | for tick in ax.yaxis.get_major_ticks(): | |
| 219 | tick.label.set_fontsize(ticksize) |
|
226 | tick.label.set_fontsize(ticksize) | |
| 220 |
|
227 | |||
| 221 | for tick in ax.xaxis.get_major_ticks(): |
|
228 | for tick in ax.xaxis.get_major_ticks(): | |
| 222 | tick.label.set_fontsize(ticksize) |
|
229 | tick.label.set_fontsize(ticksize) | |
| 223 |
|
230 | |||
| 224 | for tick in cb.ax.get_yticklabels(): |
|
231 | for tick in cb.ax.get_yticklabels(): | |
| 225 | tick.set_fontsize(ticksize) |
|
232 | tick.set_fontsize(ticksize) | |
| 226 |
|
233 | |||
| 227 | ax_cb.yaxis.tick_right() |
|
234 | ax_cb.yaxis.tick_right() | |
| 228 |
|
235 | |||
| 229 | if '0.' in matplotlib.__version__[0:2]: |
|
236 | if '0.' in matplotlib.__version__[0:2]: | |
| 230 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
237 | print "The matplotlib version has to be updated to 1.1 or newer" | |
| 231 | return imesh |
|
238 | return imesh | |
| 232 |
|
239 | |||
| 233 | if '1.0.' in matplotlib.__version__[0:4]: |
|
240 | if '1.0.' in matplotlib.__version__[0:4]: | |
| 234 | print "The matplotlib version has to be updated to 1.1 or newer" |
|
241 | print "The matplotlib version has to be updated to 1.1 or newer" | |
| 235 | return imesh |
|
242 | return imesh | |
| 236 |
|
243 | |||
| 237 | matplotlib.pyplot.tight_layout() |
|
244 | matplotlib.pyplot.tight_layout() | |
| 238 |
|
245 | |||
| 239 | if XAxisAsTime: |
|
246 | if XAxisAsTime: | |
| 240 |
|
247 | |||
| 241 | func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S")) |
|
248 | func = lambda x, pos: ('%s') %(datetime.datetime.utcfromtimestamp(x).strftime("%H:%M:%S")) | |
| 242 | ax.xaxis.set_major_formatter(FuncFormatter(func)) |
|
249 | ax.xaxis.set_major_formatter(FuncFormatter(func)) | |
| 243 | ax.xaxis.set_major_locator(LinearLocator(7)) |
|
250 | ax.xaxis.set_major_locator(LinearLocator(7)) | |
| 244 |
|
251 | |||
| 245 | return imesh |
|
252 | return imesh | |
| 246 |
|
253 | |||
| 247 | def pcolor(imesh, z, xlabel='', ylabel='', title=''): |
|
254 | def pcolor(imesh, z, xlabel='', ylabel='', title=''): | |
| 248 |
|
255 | |||
| 249 | z = z.T |
|
256 | z = z.T | |
| 250 |
|
257 | |||
| 251 | ax = imesh.get_axes() |
|
258 | ax = imesh.get_axes() | |
| 252 |
|
259 | |||
| 253 | printLabels(ax, xlabel, ylabel, title) |
|
260 | printLabels(ax, xlabel, ylabel, title) | |
| 254 |
|
261 | |||
| 255 | imesh.set_array(z.ravel()) |
|
262 | imesh.set_array(z.ravel()) | |
| 256 |
|
263 | |||
| 257 | def addpcolor(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'): |
|
264 | def addpcolor(ax, x, y, z, zmin, zmax, xlabel='', ylabel='', title='', colormap='jet'): | |
| 258 |
|
265 | |||
| 259 | printLabels(ax, xlabel, ylabel, title) |
|
266 | printLabels(ax, xlabel, ylabel, title) | |
| 260 |
|
267 | |||
| 261 | imesh = ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap)) |
|
268 | imesh = ax.pcolormesh(x,y,z.T,vmin=zmin,vmax=zmax, cmap=matplotlib.pyplot.get_cmap(colormap)) | |
| 262 |
|
269 | |||
| 263 | def draw(fig): |
|
270 | def draw(fig): | |
| 264 |
|
271 | |||
| 265 | if type(fig) == 'int': |
|
272 | if type(fig) == 'int': | |
| 266 | raise ValueError, "This parameter should be of tpye matplotlib figure" |
|
273 | raise ValueError, "This parameter should be of tpye matplotlib figure" | |
| 267 |
|
274 | |||
| 268 | fig.canvas.draw() No newline at end of file |
|
275 | fig.canvas.draw() | |
| @@ -1,983 +1,986 | |||||
| 1 | import numpy |
|
1 | import numpy | |
| 2 | import time, datetime |
|
2 | import time, datetime | |
| 3 | from graphics.figure import * |
|
3 | from graphics.figure import * | |
| 4 |
|
4 | |||
| 5 | class CrossSpectraPlot(Figure): |
|
5 | class CrossSpectraPlot(Figure): | |
| 6 |
|
6 | |||
| 7 | __isConfig = None |
|
7 | __isConfig = None | |
| 8 | __nsubplots = None |
|
8 | __nsubplots = None | |
| 9 |
|
9 | |||
| 10 | WIDTH = None |
|
10 | WIDTH = None | |
| 11 | HEIGHT = None |
|
11 | HEIGHT = None | |
| 12 | WIDTHPROF = None |
|
12 | WIDTHPROF = None | |
| 13 | HEIGHTPROF = None |
|
13 | HEIGHTPROF = None | |
| 14 | PREFIX = 'cspc' |
|
14 | PREFIX = 'cspc' | |
| 15 |
|
15 | |||
| 16 | def __init__(self): |
|
16 | def __init__(self): | |
| 17 |
|
17 | |||
| 18 | self.__isConfig = False |
|
18 | self.__isConfig = False | |
| 19 | self.__nsubplots = 4 |
|
19 | self.__nsubplots = 4 | |
| 20 |
|
20 | |||
| 21 | self.WIDTH = 250 |
|
21 | self.WIDTH = 250 | |
| 22 | self.HEIGHT = 250 |
|
22 | self.HEIGHT = 250 | |
| 23 | self.WIDTHPROF = 0 |
|
23 | self.WIDTHPROF = 0 | |
| 24 | self.HEIGHTPROF = 0 |
|
24 | self.HEIGHTPROF = 0 | |
| 25 |
|
25 | |||
| 26 | def getSubplots(self): |
|
26 | def getSubplots(self): | |
| 27 |
|
27 | |||
| 28 | ncol = 4 |
|
28 | ncol = 4 | |
| 29 | nrow = self.nplots |
|
29 | nrow = self.nplots | |
| 30 |
|
30 | |||
| 31 | return nrow, ncol |
|
31 | return nrow, ncol | |
| 32 |
|
32 | |||
| 33 | def setup(self, idfigure, nplots, wintitle, showprofile=True): |
|
33 | def setup(self, idfigure, nplots, wintitle, showprofile=True): | |
| 34 |
|
34 | |||
| 35 | self.__showprofile = showprofile |
|
35 | self.__showprofile = showprofile | |
| 36 | self.nplots = nplots |
|
36 | self.nplots = nplots | |
| 37 |
|
37 | |||
| 38 | ncolspan = 1 |
|
38 | ncolspan = 1 | |
| 39 | colspan = 1 |
|
39 | colspan = 1 | |
| 40 |
|
40 | |||
| 41 | self.createFigure(idfigure = idfigure, |
|
41 | self.createFigure(idfigure = idfigure, | |
| 42 | wintitle = wintitle, |
|
42 | wintitle = wintitle, | |
| 43 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
43 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 44 | heightplot = self.HEIGHT + self.HEIGHTPROF) |
|
44 | heightplot = self.HEIGHT + self.HEIGHTPROF) | |
| 45 |
|
45 | |||
| 46 | nrow, ncol = self.getSubplots() |
|
46 | nrow, ncol = self.getSubplots() | |
| 47 |
|
47 | |||
| 48 | counter = 0 |
|
48 | counter = 0 | |
| 49 | for y in range(nrow): |
|
49 | for y in range(nrow): | |
| 50 | for x in range(ncol): |
|
50 | for x in range(ncol): | |
| 51 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
51 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 52 |
|
52 | |||
| 53 | counter += 1 |
|
53 | counter += 1 | |
| 54 |
|
54 | |||
| 55 | def run(self, dataOut, idfigure, wintitle="", pairsList=None, showprofile='True', |
|
55 | def run(self, dataOut, idfigure, wintitle="", pairsList=None, showprofile='True', | |
| 56 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
56 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 57 | save=False, figpath='./', figfile=None): |
|
57 | save=False, figpath='./', figfile=None): | |
| 58 |
|
58 | |||
| 59 | """ |
|
59 | """ | |
| 60 |
|
60 | |||
| 61 | Input: |
|
61 | Input: | |
| 62 | dataOut : |
|
62 | dataOut : | |
| 63 | idfigure : |
|
63 | idfigure : | |
| 64 | wintitle : |
|
64 | wintitle : | |
| 65 | channelList : |
|
65 | channelList : | |
| 66 | showProfile : |
|
66 | showProfile : | |
| 67 | xmin : None, |
|
67 | xmin : None, | |
| 68 | xmax : None, |
|
68 | xmax : None, | |
| 69 | ymin : None, |
|
69 | ymin : None, | |
| 70 | ymax : None, |
|
70 | ymax : None, | |
| 71 | zmin : None, |
|
71 | zmin : None, | |
| 72 | zmax : None |
|
72 | zmax : None | |
| 73 | """ |
|
73 | """ | |
| 74 |
|
74 | |||
| 75 | if pairsList == None: |
|
75 | if pairsList == None: | |
| 76 | pairsIndexList = dataOut.pairsIndexList |
|
76 | pairsIndexList = dataOut.pairsIndexList | |
| 77 | else: |
|
77 | else: | |
| 78 | pairsIndexList = [] |
|
78 | pairsIndexList = [] | |
| 79 | for pair in pairsList: |
|
79 | for pair in pairsList: | |
| 80 | if pair not in dataOut.pairsList: |
|
80 | if pair not in dataOut.pairsList: | |
| 81 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
81 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) | |
| 82 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
82 | pairsIndexList.append(dataOut.pairsList.index(pair)) | |
| 83 |
|
83 | |||
| 84 | if pairsIndexList == []: |
|
84 | if pairsIndexList == []: | |
| 85 | return |
|
85 | return | |
| 86 |
|
86 | |||
| 87 | if len(pairsIndexList) > 4: |
|
87 | if len(pairsIndexList) > 4: | |
| 88 | pairsIndexList = pairsIndexList[0:4] |
|
88 | pairsIndexList = pairsIndexList[0:4] | |
| 89 |
|
89 | |||
| 90 | x = dataOut.getVelRange(1) |
|
90 | x = dataOut.getVelRange(1) | |
| 91 | y = dataOut.getHeiRange() |
|
91 | y = dataOut.getHeiRange() | |
| 92 | z = 10.*numpy.log10(dataOut.data_spc[:,:,:]) |
|
92 | z = 10.*numpy.log10(dataOut.data_spc[:,:,:]) | |
| 93 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
93 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 94 | avg = numpy.average(numpy.abs(z), axis=1) |
|
94 | avg = numpy.average(numpy.abs(z), axis=1) | |
| 95 |
|
95 | |||
| 96 | noise = dataOut.getNoise() |
|
96 | noise = dataOut.getNoise() | |
| 97 |
|
97 | |||
| 98 | thisDatetime = dataOut.datatime |
|
98 | thisDatetime = dataOut.datatime | |
| 99 | title = "Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
99 | title = "Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 100 | xlabel = "Velocity (m/s)" |
|
100 | xlabel = "Velocity (m/s)" | |
| 101 | ylabel = "Range (Km)" |
|
101 | ylabel = "Range (Km)" | |
| 102 |
|
102 | |||
| 103 | if not self.__isConfig: |
|
103 | if not self.__isConfig: | |
| 104 |
|
104 | |||
| 105 | nplots = len(pairsIndexList) |
|
105 | nplots = len(pairsIndexList) | |
| 106 |
|
106 | |||
| 107 | self.setup(idfigure=idfigure, |
|
107 | self.setup(idfigure=idfigure, | |
| 108 | nplots=nplots, |
|
108 | nplots=nplots, | |
| 109 | wintitle=wintitle, |
|
109 | wintitle=wintitle, | |
| 110 | showprofile=showprofile) |
|
110 | showprofile=showprofile) | |
| 111 |
|
111 | |||
| 112 | if xmin == None: xmin = numpy.nanmin(x) |
|
112 | if xmin == None: xmin = numpy.nanmin(x) | |
| 113 | if xmax == None: xmax = numpy.nanmax(x) |
|
113 | if xmax == None: xmax = numpy.nanmax(x) | |
| 114 | if ymin == None: ymin = numpy.nanmin(y) |
|
114 | if ymin == None: ymin = numpy.nanmin(y) | |
| 115 | if ymax == None: ymax = numpy.nanmax(y) |
|
115 | if ymax == None: ymax = numpy.nanmax(y) | |
| 116 | if zmin == None: zmin = numpy.nanmin(avg)*0.9 |
|
116 | if zmin == None: zmin = numpy.nanmin(avg)*0.9 | |
| 117 | if zmax == None: zmax = numpy.nanmax(avg)*0.9 |
|
117 | if zmax == None: zmax = numpy.nanmax(avg)*0.9 | |
| 118 |
|
118 | |||
| 119 | self.__isConfig = True |
|
119 | self.__isConfig = True | |
| 120 |
|
120 | |||
| 121 | self.setWinTitle(title) |
|
121 | self.setWinTitle(title) | |
| 122 |
|
122 | |||
| 123 | for i in range(self.nplots): |
|
123 | for i in range(self.nplots): | |
| 124 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
124 | pair = dataOut.pairsList[pairsIndexList[i]] | |
| 125 |
|
125 | |||
| 126 | title = "Channel %d: %4.2fdB" %(pair[0], noise[pair[0]]) |
|
126 | title = "Channel %d: %4.2fdB" %(pair[0], noise[pair[0]]) | |
| 127 | z = 10.*numpy.log10(dataOut.data_spc[pair[0],:,:]) |
|
127 | z = 10.*numpy.log10(dataOut.data_spc[pair[0],:,:]) | |
| 128 | axes0 = self.axesList[i*self.__nsubplots] |
|
128 | axes0 = self.axesList[i*self.__nsubplots] | |
| 129 | axes0.pcolor(x, y, z, |
|
129 | axes0.pcolor(x, y, z, | |
| 130 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
130 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 131 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
131 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 132 | ticksize=9, cblabel='') |
|
132 | ticksize=9, cblabel='') | |
| 133 |
|
133 | |||
| 134 | title = "Channel %d: %4.2fdB" %(pair[1], noise[pair[1]]) |
|
134 | title = "Channel %d: %4.2fdB" %(pair[1], noise[pair[1]]) | |
| 135 | z = 10.*numpy.log10(dataOut.data_spc[pair[1],:,:]) |
|
135 | z = 10.*numpy.log10(dataOut.data_spc[pair[1],:,:]) | |
| 136 | axes0 = self.axesList[i*self.__nsubplots+1] |
|
136 | axes0 = self.axesList[i*self.__nsubplots+1] | |
| 137 | axes0.pcolor(x, y, z, |
|
137 | axes0.pcolor(x, y, z, | |
| 138 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
138 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 139 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
139 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 140 | ticksize=9, cblabel='') |
|
140 | ticksize=9, cblabel='') | |
| 141 |
|
141 | |||
| 142 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[pair[0],:,:]*dataOut.data_spc[pair[1],:,:]) |
|
142 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[pair[0],:,:]*dataOut.data_spc[pair[1],:,:]) | |
| 143 | coherence = numpy.abs(coherenceComplex) |
|
143 | coherence = numpy.abs(coherenceComplex) | |
| 144 | phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi |
|
144 | phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi | |
| 145 |
|
145 | |||
| 146 |
|
146 | |||
| 147 | title = "Coherence %d%d" %(pair[0], pair[1]) |
|
147 | title = "Coherence %d%d" %(pair[0], pair[1]) | |
| 148 | axes0 = self.axesList[i*self.__nsubplots+2] |
|
148 | axes0 = self.axesList[i*self.__nsubplots+2] | |
| 149 | axes0.pcolor(x, y, coherence, |
|
149 | axes0.pcolor(x, y, coherence, | |
| 150 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=0, zmax=1, |
|
150 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=0, zmax=1, | |
| 151 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
151 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 152 | ticksize=9, cblabel='') |
|
152 | ticksize=9, cblabel='') | |
| 153 |
|
153 | |||
| 154 | title = "Phase %d%d" %(pair[0], pair[1]) |
|
154 | title = "Phase %d%d" %(pair[0], pair[1]) | |
| 155 | axes0 = self.axesList[i*self.__nsubplots+3] |
|
155 | axes0 = self.axesList[i*self.__nsubplots+3] | |
| 156 | axes0.pcolor(x, y, phase, |
|
156 | axes0.pcolor(x, y, phase, | |
| 157 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180, |
|
157 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180, | |
| 158 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
158 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 159 | ticksize=9, cblabel='', colormap='RdBu_r') |
|
159 | ticksize=9, cblabel='', colormap='RdBu_r') | |
| 160 |
|
160 | |||
| 161 |
|
161 | |||
| 162 |
|
162 | |||
| 163 | self.draw() |
|
163 | self.draw() | |
| 164 |
|
164 | |||
| 165 | if save: |
|
165 | if save: | |
| 166 | date = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
166 | date = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 167 | if figfile == None: |
|
167 | if figfile == None: | |
| 168 | figfile = self.getFilename(name = date) |
|
168 | figfile = self.getFilename(name = date) | |
| 169 |
|
169 | |||
| 170 | self.saveFigure(figpath, figfile) |
|
170 | self.saveFigure(figpath, figfile) | |
| 171 |
|
171 | |||
| 172 |
|
172 | |||
| 173 | class RTIPlot(Figure): |
|
173 | class RTIPlot(Figure): | |
| 174 |
|
174 | |||
| 175 | __isConfig = None |
|
175 | __isConfig = None | |
| 176 | __nsubplots = None |
|
176 | __nsubplots = None | |
| 177 |
|
177 | |||
| 178 | WIDTHPROF = None |
|
178 | WIDTHPROF = None | |
| 179 | HEIGHTPROF = None |
|
179 | HEIGHTPROF = None | |
| 180 | PREFIX = 'rti' |
|
180 | PREFIX = 'rti' | |
| 181 |
|
181 | |||
| 182 | def __init__(self): |
|
182 | def __init__(self): | |
| 183 |
|
183 | |||
| 184 | self.timerange = 2*60*60 |
|
184 | self.timerange = 2*60*60 | |
| 185 | self.__isConfig = False |
|
185 | self.__isConfig = False | |
| 186 | self.__nsubplots = 1 |
|
186 | self.__nsubplots = 1 | |
| 187 |
|
187 | |||
| 188 | self.WIDTH = 800 |
|
188 | self.WIDTH = 800 | |
| 189 | self.HEIGHT = 200 |
|
189 | self.HEIGHT = 200 | |
| 190 | self.WIDTHPROF = 120 |
|
190 | self.WIDTHPROF = 120 | |
| 191 | self.HEIGHTPROF = 0 |
|
191 | self.HEIGHTPROF = 0 | |
| 192 |
|
192 | |||
| 193 | def getSubplots(self): |
|
193 | def getSubplots(self): | |
| 194 |
|
194 | |||
| 195 | ncol = 1 |
|
195 | ncol = 1 | |
| 196 | nrow = self.nplots |
|
196 | nrow = self.nplots | |
| 197 |
|
197 | |||
| 198 | return nrow, ncol |
|
198 | return nrow, ncol | |
| 199 |
|
199 | |||
| 200 | def setup(self, idfigure, nplots, wintitle, showprofile=True): |
|
200 | def setup(self, idfigure, nplots, wintitle, showprofile=True): | |
| 201 |
|
201 | |||
| 202 | self.__showprofile = showprofile |
|
202 | self.__showprofile = showprofile | |
| 203 | self.nplots = nplots |
|
203 | self.nplots = nplots | |
| 204 |
|
204 | |||
| 205 | ncolspan = 1 |
|
205 | ncolspan = 1 | |
| 206 | colspan = 1 |
|
206 | colspan = 1 | |
| 207 | if showprofile: |
|
207 | if showprofile: | |
| 208 | ncolspan = 7 |
|
208 | ncolspan = 7 | |
| 209 | colspan = 6 |
|
209 | colspan = 6 | |
| 210 | self.__nsubplots = 2 |
|
210 | self.__nsubplots = 2 | |
| 211 |
|
211 | |||
| 212 | self.createFigure(idfigure = idfigure, |
|
212 | self.createFigure(idfigure = idfigure, | |
| 213 | wintitle = wintitle, |
|
213 | wintitle = wintitle, | |
| 214 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
214 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 215 | heightplot = self.HEIGHT + self.HEIGHTPROF) |
|
215 | heightplot = self.HEIGHT + self.HEIGHTPROF) | |
| 216 |
|
216 | |||
| 217 | nrow, ncol = self.getSubplots() |
|
217 | nrow, ncol = self.getSubplots() | |
| 218 |
|
218 | |||
| 219 | counter = 0 |
|
219 | counter = 0 | |
| 220 | for y in range(nrow): |
|
220 | for y in range(nrow): | |
| 221 | for x in range(ncol): |
|
221 | for x in range(ncol): | |
| 222 |
|
222 | |||
| 223 | if counter >= self.nplots: |
|
223 | if counter >= self.nplots: | |
| 224 | break |
|
224 | break | |
| 225 |
|
225 | |||
| 226 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
226 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 227 |
|
227 | |||
| 228 | if showprofile: |
|
228 | if showprofile: | |
| 229 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
229 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 230 |
|
230 | |||
| 231 | counter += 1 |
|
231 | counter += 1 | |
| 232 |
|
232 | |||
| 233 | def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True', |
|
233 | def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True', | |
| 234 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
234 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 235 | timerange=None, |
|
235 | timerange=None, | |
| 236 | save=False, figpath='./', figfile=None): |
|
236 | save=False, figpath='./', figfile=None): | |
| 237 |
|
237 | |||
| 238 | """ |
|
238 | """ | |
| 239 |
|
239 | |||
| 240 | Input: |
|
240 | Input: | |
| 241 | dataOut : |
|
241 | dataOut : | |
| 242 | idfigure : |
|
242 | idfigure : | |
| 243 | wintitle : |
|
243 | wintitle : | |
| 244 | channelList : |
|
244 | channelList : | |
| 245 | showProfile : |
|
245 | showProfile : | |
| 246 | xmin : None, |
|
246 | xmin : None, | |
| 247 | xmax : None, |
|
247 | xmax : None, | |
| 248 | ymin : None, |
|
248 | ymin : None, | |
| 249 | ymax : None, |
|
249 | ymax : None, | |
| 250 | zmin : None, |
|
250 | zmin : None, | |
| 251 | zmax : None |
|
251 | zmax : None | |
| 252 | """ |
|
252 | """ | |
| 253 |
|
253 | |||
| 254 | if channelList == None: |
|
254 | if channelList == None: | |
| 255 | channelIndexList = dataOut.channelIndexList |
|
255 | channelIndexList = dataOut.channelIndexList | |
| 256 | else: |
|
256 | else: | |
| 257 | channelIndexList = [] |
|
257 | channelIndexList = [] | |
| 258 | for channel in channelList: |
|
258 | for channel in channelList: | |
| 259 | if channel not in dataOut.channelList: |
|
259 | if channel not in dataOut.channelList: | |
| 260 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
260 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 261 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
261 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 262 |
|
262 | |||
| 263 | if timerange != None: |
|
263 | if timerange != None: | |
| 264 | self.timerange = timerange |
|
264 | self.timerange = timerange | |
| 265 |
|
265 | |||
| 266 | tmin = None |
|
266 | tmin = None | |
| 267 | tmax = None |
|
267 | tmax = None | |
| 268 | x = dataOut.getTimeRange() |
|
268 | x = dataOut.getTimeRange() | |
| 269 | y = dataOut.getHeiRange() |
|
269 | y = dataOut.getHeiRange() | |
| 270 | z = 10.*numpy.log10(dataOut.data_spc[channelIndexList,:,:]) |
|
270 | z = 10.*numpy.log10(dataOut.data_spc[channelIndexList,:,:]) | |
| 271 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
271 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 272 | avg = numpy.average(z, axis=1) |
|
272 | avg = numpy.average(z, axis=1) | |
| 273 |
|
273 | |||
| 274 | noise = dataOut.getNoise() |
|
274 | noise = dataOut.getNoise() | |
| 275 |
|
275 | |||
| 276 | thisDatetime = dataOut.datatime |
|
276 | thisDatetime = dataOut.datatime | |
| 277 | title = "RTI: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
277 | title = "RTI: %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 278 | xlabel = "Velocity (m/s)" |
|
278 | xlabel = "Velocity (m/s)" | |
| 279 | ylabel = "Range (Km)" |
|
279 | ylabel = "Range (Km)" | |
| 280 |
|
280 | |||
| 281 | if not self.__isConfig: |
|
281 | if not self.__isConfig: | |
| 282 |
|
282 | |||
| 283 | nplots = len(channelIndexList) |
|
283 | nplots = len(channelIndexList) | |
| 284 |
|
284 | |||
| 285 | self.setup(idfigure=idfigure, |
|
285 | self.setup(idfigure=idfigure, | |
| 286 | nplots=nplots, |
|
286 | nplots=nplots, | |
| 287 | wintitle=wintitle, |
|
287 | wintitle=wintitle, | |
| 288 | showprofile=showprofile) |
|
288 | showprofile=showprofile) | |
| 289 |
|
289 | |||
| 290 | tmin, tmax = self.getTimeLim(x, xmin, xmax) |
|
290 | tmin, tmax = self.getTimeLim(x, xmin, xmax) | |
| 291 | if ymin == None: ymin = numpy.nanmin(y) |
|
291 | if ymin == None: ymin = numpy.nanmin(y) | |
| 292 | if ymax == None: ymax = numpy.nanmax(y) |
|
292 | if ymax == None: ymax = numpy.nanmax(y) | |
| 293 | if zmin == None: zmin = numpy.nanmin(avg)*0.9 |
|
293 | if zmin == None: zmin = numpy.nanmin(avg)*0.9 | |
| 294 | if zmax == None: zmax = numpy.nanmax(avg)*0.9 |
|
294 | if zmax == None: zmax = numpy.nanmax(avg)*0.9 | |
| 295 |
|
295 | |||
| 296 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
296 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 297 | self.__isConfig = True |
|
297 | self.__isConfig = True | |
| 298 |
|
298 | |||
| 299 |
|
299 | |||
| 300 | self.setWinTitle(title) |
|
300 | self.setWinTitle(title) | |
| 301 |
|
301 | |||
| 302 | for i in range(self.nplots): |
|
302 | for i in range(self.nplots): | |
| 303 | title = "Channel %d: %s" %(dataOut.channelList[i], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
303 | title = "Channel %d: %s" %(dataOut.channelList[i], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 304 | axes = self.axesList[i*self.__nsubplots] |
|
304 | axes = self.axesList[i*self.__nsubplots] | |
| 305 | z = avg[i].reshape((1,-1)) |
|
305 | z = avg[i].reshape((1,-1)) | |
| 306 | axes.pcolor(x, y, z, |
|
306 | axes.pcolor(x, y, z, | |
| 307 | xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
307 | xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 308 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
308 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 309 | ticksize=9, cblabel='', cbsize="1%") |
|
309 | ticksize=9, cblabel='', cbsize="1%") | |
| 310 |
|
310 | |||
| 311 | if self.__showprofile: |
|
311 | if self.__showprofile: | |
| 312 | axes = self.axesList[i*self.__nsubplots +1] |
|
312 | axes = self.axesList[i*self.__nsubplots +1] | |
| 313 | axes.pline(avg[i], y, |
|
313 | axes.pline(avg[i], y, | |
| 314 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
314 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
| 315 | xlabel='dB', ylabel='', title='', |
|
315 | xlabel='dB', ylabel='', title='', | |
| 316 | ytick_visible=False, |
|
316 | ytick_visible=False, | |
| 317 | grid='x') |
|
317 | grid='x') | |
| 318 |
|
318 | |||
| 319 | self.draw() |
|
319 | self.draw() | |
| 320 |
|
320 | |||
| 321 | if save: |
|
321 | if save: | |
| 322 |
|
322 | |||
| 323 | if figfile == None: |
|
323 | if figfile == None: | |
| 324 | figfile = self.getFilename(name = self.name) |
|
324 | figfile = self.getFilename(name = self.name) | |
| 325 |
|
325 | |||
| 326 | self.saveFigure(figpath, figfile) |
|
326 | self.saveFigure(figpath, figfile) | |
| 327 |
|
327 | |||
| 328 | if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax: |
|
328 | if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax: | |
| 329 | self.__isConfig = False |
|
329 | self.__isConfig = False | |
| 330 |
|
330 | |||
| 331 | class SpectraPlot(Figure): |
|
331 | class SpectraPlot(Figure): | |
| 332 |
|
332 | |||
| 333 | __isConfig = None |
|
333 | __isConfig = None | |
| 334 | __nsubplots = None |
|
334 | __nsubplots = None | |
| 335 |
|
335 | |||
| 336 | WIDTHPROF = None |
|
336 | WIDTHPROF = None | |
| 337 | HEIGHTPROF = None |
|
337 | HEIGHTPROF = None | |
| 338 | PREFIX = 'spc' |
|
338 | PREFIX = 'spc' | |
| 339 |
|
339 | |||
| 340 | def __init__(self): |
|
340 | def __init__(self): | |
| 341 |
|
341 | |||
| 342 | self.__isConfig = False |
|
342 | self.__isConfig = False | |
| 343 | self.__nsubplots = 1 |
|
343 | self.__nsubplots = 1 | |
| 344 |
|
344 | |||
| 345 | self.WIDTH = 230 |
|
345 | self.WIDTH = 230 | |
| 346 | self.HEIGHT = 250 |
|
346 | self.HEIGHT = 250 | |
| 347 | self.WIDTHPROF = 120 |
|
347 | self.WIDTHPROF = 120 | |
| 348 | self.HEIGHTPROF = 0 |
|
348 | self.HEIGHTPROF = 0 | |
| 349 |
|
349 | |||
| 350 | def getSubplots(self): |
|
350 | def getSubplots(self): | |
| 351 |
|
351 | |||
| 352 | ncol = int(numpy.sqrt(self.nplots)+0.9) |
|
352 | ncol = int(numpy.sqrt(self.nplots)+0.9) | |
| 353 | nrow = int(self.nplots*1./ncol + 0.9) |
|
353 | nrow = int(self.nplots*1./ncol + 0.9) | |
| 354 |
|
354 | |||
| 355 | return nrow, ncol |
|
355 | return nrow, ncol | |
| 356 |
|
356 | |||
| 357 | def setup(self, idfigure, nplots, wintitle, showprofile=True): |
|
357 | def setup(self, idfigure, nplots, wintitle, showprofile=True): | |
| 358 |
|
358 | |||
| 359 | self.__showprofile = showprofile |
|
359 | self.__showprofile = showprofile | |
| 360 | self.nplots = nplots |
|
360 | self.nplots = nplots | |
| 361 |
|
361 | |||
| 362 | ncolspan = 1 |
|
362 | ncolspan = 1 | |
| 363 | colspan = 1 |
|
363 | colspan = 1 | |
| 364 | if showprofile: |
|
364 | if showprofile: | |
| 365 | ncolspan = 3 |
|
365 | ncolspan = 3 | |
| 366 | colspan = 2 |
|
366 | colspan = 2 | |
| 367 | self.__nsubplots = 2 |
|
367 | self.__nsubplots = 2 | |
| 368 |
|
368 | |||
| 369 | self.createFigure(idfigure = idfigure, |
|
369 | self.createFigure(idfigure = idfigure, | |
| 370 | wintitle = wintitle, |
|
370 | wintitle = wintitle, | |
| 371 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
371 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 372 | heightplot = self.HEIGHT + self.HEIGHTPROF) |
|
372 | heightplot = self.HEIGHT + self.HEIGHTPROF) | |
| 373 |
|
373 | |||
| 374 | nrow, ncol = self.getSubplots() |
|
374 | nrow, ncol = self.getSubplots() | |
| 375 |
|
375 | |||
| 376 | counter = 0 |
|
376 | counter = 0 | |
| 377 | for y in range(nrow): |
|
377 | for y in range(nrow): | |
| 378 | for x in range(ncol): |
|
378 | for x in range(ncol): | |
| 379 |
|
379 | |||
| 380 | if counter >= self.nplots: |
|
380 | if counter >= self.nplots: | |
| 381 | break |
|
381 | break | |
| 382 |
|
382 | |||
| 383 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
383 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 384 |
|
384 | |||
| 385 | if showprofile: |
|
385 | if showprofile: | |
| 386 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
386 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 387 |
|
387 | |||
| 388 | counter += 1 |
|
388 | counter += 1 | |
| 389 |
|
389 | |||
| 390 | def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True', |
|
390 | def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True', | |
| 391 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
391 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 392 | save=False, figpath='./', figfile=None): |
|
392 | save=False, figpath='./', figfile=None): | |
| 393 |
|
393 | |||
| 394 | """ |
|
394 | """ | |
| 395 |
|
395 | |||
| 396 | Input: |
|
396 | Input: | |
| 397 | dataOut : |
|
397 | dataOut : | |
| 398 | idfigure : |
|
398 | idfigure : | |
| 399 | wintitle : |
|
399 | wintitle : | |
| 400 | channelList : |
|
400 | channelList : | |
| 401 | showProfile : |
|
401 | showProfile : | |
| 402 | xmin : None, |
|
402 | xmin : None, | |
| 403 | xmax : None, |
|
403 | xmax : None, | |
| 404 | ymin : None, |
|
404 | ymin : None, | |
| 405 | ymax : None, |
|
405 | ymax : None, | |
| 406 | zmin : None, |
|
406 | zmin : None, | |
| 407 | zmax : None |
|
407 | zmax : None | |
| 408 | """ |
|
408 | """ | |
| 409 |
|
409 | |||
| 410 | if channelList == None: |
|
410 | if channelList == None: | |
| 411 | channelIndexList = dataOut.channelIndexList |
|
411 | channelIndexList = dataOut.channelIndexList | |
| 412 | else: |
|
412 | else: | |
| 413 | channelIndexList = [] |
|
413 | channelIndexList = [] | |
| 414 | for channel in channelList: |
|
414 | for channel in channelList: | |
| 415 | if channel not in dataOut.channelList: |
|
415 | if channel not in dataOut.channelList: | |
| 416 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
416 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 417 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
417 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 418 |
|
418 | |||
| 419 | x = dataOut.getVelRange(1) |
|
419 | x = dataOut.getVelRange(1) | |
| 420 | y = dataOut.getHeiRange() |
|
420 | y = dataOut.getHeiRange() | |
| 421 |
|
421 | |||
| 422 | z = 10.*numpy.log10(dataOut.data_spc[channelIndexList,:,:]) |
|
422 | z = 10.*numpy.log10(dataOut.data_spc[channelIndexList,:,:]) | |
| 423 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
423 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| 424 | avg = numpy.average(z, axis=1) |
|
424 | avg = numpy.average(z, axis=1) | |
| 425 |
|
425 | |||
| 426 | noise = dataOut.getNoise() |
|
426 | noise = dataOut.getNoise() | |
| 427 |
|
427 | |||
| 428 | thisDatetime = dataOut.datatime |
|
428 | thisDatetime = dataOut.datatime | |
| 429 | title = "Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
429 | title = "Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 430 | xlabel = "Velocity (m/s)" |
|
430 | xlabel = "Velocity (m/s)" | |
| 431 | ylabel = "Range (Km)" |
|
431 | ylabel = "Range (Km)" | |
| 432 |
|
432 | |||
| 433 | if not self.__isConfig: |
|
433 | if not self.__isConfig: | |
| 434 |
|
434 | |||
| 435 | nplots = len(channelIndexList) |
|
435 | nplots = len(channelIndexList) | |
| 436 |
|
436 | |||
| 437 | self.setup(idfigure=idfigure, |
|
437 | self.setup(idfigure=idfigure, | |
| 438 | nplots=nplots, |
|
438 | nplots=nplots, | |
| 439 | wintitle=wintitle, |
|
439 | wintitle=wintitle, | |
| 440 | showprofile=showprofile) |
|
440 | showprofile=showprofile) | |
| 441 |
|
441 | |||
| 442 | if xmin == None: xmin = numpy.nanmin(x) |
|
442 | if xmin == None: xmin = numpy.nanmin(x) | |
| 443 | if xmax == None: xmax = numpy.nanmax(x) |
|
443 | if xmax == None: xmax = numpy.nanmax(x) | |
| 444 | if ymin == None: ymin = numpy.nanmin(y) |
|
444 | if ymin == None: ymin = numpy.nanmin(y) | |
| 445 | if ymax == None: ymax = numpy.nanmax(y) |
|
445 | if ymax == None: ymax = numpy.nanmax(y) | |
| 446 | if zmin == None: zmin = numpy.nanmin(avg)*0.9 |
|
446 | if zmin == None: zmin = numpy.nanmin(avg)*0.9 | |
| 447 | if zmax == None: zmax = numpy.nanmax(avg)*0.9 |
|
447 | if zmax == None: zmax = numpy.nanmax(avg)*0.9 | |
| 448 |
|
448 | |||
| 449 | self.__isConfig = True |
|
449 | self.__isConfig = True | |
| 450 |
|
450 | |||
| 451 | self.setWinTitle(title) |
|
451 | self.setWinTitle(title) | |
| 452 |
|
452 | |||
| 453 | for i in range(self.nplots): |
|
453 | for i in range(self.nplots): | |
| 454 | title = "Channel %d: %4.2fdB" %(dataOut.channelList[i], noise[i]) |
|
454 | title = "Channel %d: %4.2fdB" %(dataOut.channelList[i], noise[i]) | |
| 455 | axes = self.axesList[i*self.__nsubplots] |
|
455 | axes = self.axesList[i*self.__nsubplots] | |
| 456 | axes.pcolor(x, y, z[i,:,:], |
|
456 | axes.pcolor(x, y, z[i,:,:], | |
| 457 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
457 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 458 | xlabel=xlabel, ylabel=ylabel, title=title, |
|
458 | xlabel=xlabel, ylabel=ylabel, title=title, | |
| 459 | ticksize=9, cblabel='') |
|
459 | ticksize=9, cblabel='') | |
| 460 |
|
460 | |||
| 461 | if self.__showprofile: |
|
461 | if self.__showprofile: | |
| 462 | axes = self.axesList[i*self.__nsubplots +1] |
|
462 | axes = self.axesList[i*self.__nsubplots +1] | |
| 463 | axes.pline(avg[i], y, |
|
463 | axes.pline(avg[i], y, | |
| 464 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, |
|
464 | xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax, | |
| 465 | xlabel='dB', ylabel='', title='', |
|
465 | xlabel='dB', ylabel='', title='', | |
| 466 | ytick_visible=False, |
|
466 | ytick_visible=False, | |
| 467 | grid='x') |
|
467 | grid='x') | |
|
|
468 | ||||
|
|
469 | noiseline = numpy.repeat(noise[i], len(y)) | |||
|
|
470 | axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2) | |||
| 468 |
|
471 | |||
| 469 | self.draw() |
|
472 | self.draw() | |
| 470 |
|
473 | |||
| 471 | if save: |
|
474 | if save: | |
| 472 | date = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
475 | date = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 473 | if figfile == None: |
|
476 | if figfile == None: | |
| 474 | figfile = self.getFilename(name = date) |
|
477 | figfile = self.getFilename(name = date) | |
| 475 |
|
478 | |||
| 476 | self.saveFigure(figpath, figfile) |
|
479 | self.saveFigure(figpath, figfile) | |
| 477 |
|
480 | |||
| 478 | class Scope(Figure): |
|
481 | class Scope(Figure): | |
| 479 |
|
482 | |||
| 480 | __isConfig = None |
|
483 | __isConfig = None | |
| 481 |
|
484 | |||
| 482 | def __init__(self): |
|
485 | def __init__(self): | |
| 483 |
|
486 | |||
| 484 | self.__isConfig = False |
|
487 | self.__isConfig = False | |
| 485 | self.WIDTH = 600 |
|
488 | self.WIDTH = 600 | |
| 486 | self.HEIGHT = 200 |
|
489 | self.HEIGHT = 200 | |
| 487 |
|
490 | |||
| 488 | def getSubplots(self): |
|
491 | def getSubplots(self): | |
| 489 |
|
492 | |||
| 490 | nrow = self.nplots |
|
493 | nrow = self.nplots | |
| 491 | ncol = 3 |
|
494 | ncol = 3 | |
| 492 | return nrow, ncol |
|
495 | return nrow, ncol | |
| 493 |
|
496 | |||
| 494 | def setup(self, idfigure, nplots, wintitle): |
|
497 | def setup(self, idfigure, nplots, wintitle): | |
| 495 |
|
498 | |||
| 496 | self.nplots = nplots |
|
499 | self.nplots = nplots | |
| 497 |
|
500 | |||
| 498 | self.createFigure(idfigure, wintitle) |
|
501 | self.createFigure(idfigure, wintitle) | |
| 499 |
|
502 | |||
| 500 | nrow,ncol = self.getSubplots() |
|
503 | nrow,ncol = self.getSubplots() | |
| 501 | colspan = 3 |
|
504 | colspan = 3 | |
| 502 | rowspan = 1 |
|
505 | rowspan = 1 | |
| 503 |
|
506 | |||
| 504 | for i in range(nplots): |
|
507 | for i in range(nplots): | |
| 505 | self.addAxes(nrow, ncol, i, 0, colspan, rowspan) |
|
508 | self.addAxes(nrow, ncol, i, 0, colspan, rowspan) | |
| 506 |
|
509 | |||
| 507 |
|
510 | |||
| 508 |
|
511 | |||
| 509 | def run(self, dataOut, idfigure, wintitle="", channelList=None, |
|
512 | def run(self, dataOut, idfigure, wintitle="", channelList=None, | |
| 510 | xmin=None, xmax=None, ymin=None, ymax=None, save=False, |
|
513 | xmin=None, xmax=None, ymin=None, ymax=None, save=False, | |
| 511 | figpath='./', figfile=None): |
|
514 | figpath='./', figfile=None): | |
| 512 |
|
515 | |||
| 513 | """ |
|
516 | """ | |
| 514 |
|
517 | |||
| 515 | Input: |
|
518 | Input: | |
| 516 | dataOut : |
|
519 | dataOut : | |
| 517 | idfigure : |
|
520 | idfigure : | |
| 518 | wintitle : |
|
521 | wintitle : | |
| 519 | channelList : |
|
522 | channelList : | |
| 520 | xmin : None, |
|
523 | xmin : None, | |
| 521 | xmax : None, |
|
524 | xmax : None, | |
| 522 | ymin : None, |
|
525 | ymin : None, | |
| 523 | ymax : None, |
|
526 | ymax : None, | |
| 524 | """ |
|
527 | """ | |
| 525 |
|
528 | |||
| 526 | if channelList == None: |
|
529 | if channelList == None: | |
| 527 | channelIndexList = dataOut.channelIndexList |
|
530 | channelIndexList = dataOut.channelIndexList | |
| 528 | else: |
|
531 | else: | |
| 529 | channelIndexList = [] |
|
532 | channelIndexList = [] | |
| 530 | for channel in channelList: |
|
533 | for channel in channelList: | |
| 531 | if channel not in dataOut.channelList: |
|
534 | if channel not in dataOut.channelList: | |
| 532 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
535 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 533 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
536 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 534 |
|
537 | |||
| 535 | x = dataOut.heightList |
|
538 | x = dataOut.heightList | |
| 536 | y = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) |
|
539 | y = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:]) | |
| 537 | y = y.real |
|
540 | y = y.real | |
| 538 |
|
541 | |||
| 539 | thisDatetime = dataOut.datatime |
|
542 | thisDatetime = dataOut.datatime | |
| 540 | title = "Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
543 | title = "Scope: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 541 | xlabel = "Range (Km)" |
|
544 | xlabel = "Range (Km)" | |
| 542 | ylabel = "Intensity" |
|
545 | ylabel = "Intensity" | |
| 543 |
|
546 | |||
| 544 | if not self.__isConfig: |
|
547 | if not self.__isConfig: | |
| 545 | nplots = len(channelIndexList) |
|
548 | nplots = len(channelIndexList) | |
| 546 |
|
549 | |||
| 547 | self.setup(idfigure=idfigure, |
|
550 | self.setup(idfigure=idfigure, | |
| 548 | nplots=nplots, |
|
551 | nplots=nplots, | |
| 549 | wintitle=wintitle) |
|
552 | wintitle=wintitle) | |
| 550 |
|
553 | |||
| 551 | if xmin == None: xmin = numpy.nanmin(x) |
|
554 | if xmin == None: xmin = numpy.nanmin(x) | |
| 552 | if xmax == None: xmax = numpy.nanmax(x) |
|
555 | if xmax == None: xmax = numpy.nanmax(x) | |
| 553 | if ymin == None: ymin = numpy.nanmin(y) |
|
556 | if ymin == None: ymin = numpy.nanmin(y) | |
| 554 | if ymax == None: ymax = numpy.nanmax(y) |
|
557 | if ymax == None: ymax = numpy.nanmax(y) | |
| 555 |
|
558 | |||
| 556 | self.__isConfig = True |
|
559 | self.__isConfig = True | |
| 557 |
|
560 | |||
| 558 | self.setWinTitle(title) |
|
561 | self.setWinTitle(title) | |
| 559 |
|
562 | |||
| 560 | for i in range(len(self.axesList)): |
|
563 | for i in range(len(self.axesList)): | |
| 561 | title = "Channel %d" %(i) |
|
564 | title = "Channel %d" %(i) | |
| 562 | axes = self.axesList[i] |
|
565 | axes = self.axesList[i] | |
| 563 | ychannel = y[i,:] |
|
566 | ychannel = y[i,:] | |
| 564 | axes.pline(x, ychannel, |
|
567 | axes.pline(x, ychannel, | |
| 565 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
568 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, | |
| 566 | xlabel=xlabel, ylabel=ylabel, title=title) |
|
569 | xlabel=xlabel, ylabel=ylabel, title=title) | |
| 567 |
|
570 | |||
| 568 | self.draw() |
|
571 | self.draw() | |
| 569 |
|
572 | |||
| 570 | if save: |
|
573 | if save: | |
| 571 | date = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
574 | date = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 572 | if figfile == None: |
|
575 | if figfile == None: | |
| 573 | figfile = self.getFilename(name = date) |
|
576 | figfile = self.getFilename(name = date) | |
| 574 |
|
577 | |||
| 575 | self.saveFigure(figpath, figfile) |
|
578 | self.saveFigure(figpath, figfile) | |
| 576 |
|
579 | |||
| 577 | class ProfilePlot(Figure): |
|
580 | class ProfilePlot(Figure): | |
| 578 | __isConfig = None |
|
581 | __isConfig = None | |
| 579 | __nsubplots = None |
|
582 | __nsubplots = None | |
| 580 |
|
583 | |||
| 581 | WIDTHPROF = None |
|
584 | WIDTHPROF = None | |
| 582 | HEIGHTPROF = None |
|
585 | HEIGHTPROF = None | |
| 583 | PREFIX = 'spcprofile' |
|
586 | PREFIX = 'spcprofile' | |
| 584 |
|
587 | |||
| 585 | def __init__(self): |
|
588 | def __init__(self): | |
| 586 | self.__isConfig = False |
|
589 | self.__isConfig = False | |
| 587 | self.__nsubplots = 1 |
|
590 | self.__nsubplots = 1 | |
| 588 |
|
591 | |||
| 589 | self.WIDTH = 300 |
|
592 | self.WIDTH = 300 | |
| 590 | self.HEIGHT = 500 |
|
593 | self.HEIGHT = 500 | |
| 591 |
|
594 | |||
| 592 | def getSubplots(self): |
|
595 | def getSubplots(self): | |
| 593 | ncol = 1 |
|
596 | ncol = 1 | |
| 594 | nrow = 1 |
|
597 | nrow = 1 | |
| 595 |
|
598 | |||
| 596 | return nrow, ncol |
|
599 | return nrow, ncol | |
| 597 |
|
600 | |||
| 598 | def setup(self, idfigure, nplots, wintitle): |
|
601 | def setup(self, idfigure, nplots, wintitle): | |
| 599 |
|
602 | |||
| 600 | self.nplots = nplots |
|
603 | self.nplots = nplots | |
| 601 |
|
604 | |||
| 602 | ncolspan = 1 |
|
605 | ncolspan = 1 | |
| 603 | colspan = 1 |
|
606 | colspan = 1 | |
| 604 |
|
607 | |||
| 605 | self.createFigure(idfigure = idfigure, |
|
608 | self.createFigure(idfigure = idfigure, | |
| 606 | wintitle = wintitle, |
|
609 | wintitle = wintitle, | |
| 607 | widthplot = self.WIDTH, |
|
610 | widthplot = self.WIDTH, | |
| 608 | heightplot = self.HEIGHT) |
|
611 | heightplot = self.HEIGHT) | |
| 609 |
|
612 | |||
| 610 | nrow, ncol = self.getSubplots() |
|
613 | nrow, ncol = self.getSubplots() | |
| 611 |
|
614 | |||
| 612 | counter = 0 |
|
615 | counter = 0 | |
| 613 | for y in range(nrow): |
|
616 | for y in range(nrow): | |
| 614 | for x in range(ncol): |
|
617 | for x in range(ncol): | |
| 615 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
618 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 616 |
|
619 | |||
| 617 | def run(self, dataOut, idfigure, wintitle="", channelList=None, |
|
620 | def run(self, dataOut, idfigure, wintitle="", channelList=None, | |
| 618 | xmin=None, xmax=None, ymin=None, ymax=None, |
|
621 | xmin=None, xmax=None, ymin=None, ymax=None, | |
| 619 | save=False, figpath='./', figfile=None): |
|
622 | save=False, figpath='./', figfile=None): | |
| 620 |
|
623 | |||
| 621 | if channelList == None: |
|
624 | if channelList == None: | |
| 622 | channelIndexList = dataOut.channelIndexList |
|
625 | channelIndexList = dataOut.channelIndexList | |
| 623 | channelList = dataOut.channelList |
|
626 | channelList = dataOut.channelList | |
| 624 | else: |
|
627 | else: | |
| 625 | channelIndexList = [] |
|
628 | channelIndexList = [] | |
| 626 | for channel in channelList: |
|
629 | for channel in channelList: | |
| 627 | if channel not in dataOut.channelList: |
|
630 | if channel not in dataOut.channelList: | |
| 628 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
631 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 629 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
632 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 630 |
|
633 | |||
| 631 |
|
634 | |||
| 632 | y = dataOut.getHeiRange() |
|
635 | y = dataOut.getHeiRange() | |
| 633 | x = 10.*numpy.log10(dataOut.data_spc[channelIndexList,:,:]) |
|
636 | x = 10.*numpy.log10(dataOut.data_spc[channelIndexList,:,:]) | |
| 634 | avg = numpy.average(x, axis=1) |
|
637 | avg = numpy.average(x, axis=1) | |
| 635 |
|
638 | |||
| 636 | thisDatetime = dataOut.datatime |
|
639 | thisDatetime = dataOut.datatime | |
| 637 | title = "Power Profile" |
|
640 | title = "Power Profile" | |
| 638 | xlabel = "dB" |
|
641 | xlabel = "dB" | |
| 639 | ylabel = "Range (Km)" |
|
642 | ylabel = "Range (Km)" | |
| 640 |
|
643 | |||
| 641 | if not self.__isConfig: |
|
644 | if not self.__isConfig: | |
| 642 |
|
645 | |||
| 643 | nplots = 1 |
|
646 | nplots = 1 | |
| 644 |
|
647 | |||
| 645 | self.setup(idfigure=idfigure, |
|
648 | self.setup(idfigure=idfigure, | |
| 646 | nplots=nplots, |
|
649 | nplots=nplots, | |
| 647 | wintitle=wintitle) |
|
650 | wintitle=wintitle) | |
| 648 |
|
651 | |||
| 649 | if ymin == None: ymin = numpy.nanmin(y) |
|
652 | if ymin == None: ymin = numpy.nanmin(y) | |
| 650 | if ymax == None: ymax = numpy.nanmax(y) |
|
653 | if ymax == None: ymax = numpy.nanmax(y) | |
| 651 | if xmin == None: xmin = numpy.nanmin(avg)*0.9 |
|
654 | if xmin == None: xmin = numpy.nanmin(avg)*0.9 | |
| 652 | if xmax == None: xmax = numpy.nanmax(avg)*0.9 |
|
655 | if xmax == None: xmax = numpy.nanmax(avg)*0.9 | |
| 653 |
|
656 | |||
| 654 | self.__isConfig = True |
|
657 | self.__isConfig = True | |
| 655 |
|
658 | |||
| 656 | self.setWinTitle(title) |
|
659 | self.setWinTitle(title) | |
| 657 |
|
660 | |||
| 658 |
|
661 | |||
| 659 | title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
662 | title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 660 | axes = self.axesList[0] |
|
663 | axes = self.axesList[0] | |
| 661 |
|
664 | |||
| 662 | legendlabels = ["channel %d"%x for x in channelList] |
|
665 | legendlabels = ["channel %d"%x for x in channelList] | |
| 663 | axes.pmultiline(avg, y, |
|
666 | axes.pmultiline(avg, y, | |
| 664 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, |
|
667 | xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, | |
| 665 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, |
|
668 | xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, | |
| 666 | ytick_visible=True, nxticks=5, |
|
669 | ytick_visible=True, nxticks=5, | |
| 667 | grid='x') |
|
670 | grid='x') | |
| 668 |
|
671 | |||
| 669 | self.draw() |
|
672 | self.draw() | |
| 670 |
|
673 | |||
| 671 | if save: |
|
674 | if save: | |
| 672 | date = thisDatetime.strftime("%Y%m%d") |
|
675 | date = thisDatetime.strftime("%Y%m%d") | |
| 673 | if figfile == None: |
|
676 | if figfile == None: | |
| 674 | figfile = self.getFilename(name = date) |
|
677 | figfile = self.getFilename(name = date) | |
| 675 |
|
678 | |||
| 676 | self.saveFigure(figpath, figfile) |
|
679 | self.saveFigure(figpath, figfile) | |
| 677 |
|
680 | |||
| 678 | class CoherenceMap(Figure): |
|
681 | class CoherenceMap(Figure): | |
| 679 | __isConfig = None |
|
682 | __isConfig = None | |
| 680 | __nsubplots = None |
|
683 | __nsubplots = None | |
| 681 |
|
684 | |||
| 682 | WIDTHPROF = None |
|
685 | WIDTHPROF = None | |
| 683 | HEIGHTPROF = None |
|
686 | HEIGHTPROF = None | |
| 684 | PREFIX = 'coherencemap' |
|
687 | PREFIX = 'coherencemap' | |
| 685 |
|
688 | |||
| 686 | def __init__(self): |
|
689 | def __init__(self): | |
| 687 | self.timerange = 2*60*60 |
|
690 | self.timerange = 2*60*60 | |
| 688 | self.__isConfig = False |
|
691 | self.__isConfig = False | |
| 689 | self.__nsubplots = 1 |
|
692 | self.__nsubplots = 1 | |
| 690 |
|
693 | |||
| 691 | self.WIDTH = 800 |
|
694 | self.WIDTH = 800 | |
| 692 | self.HEIGHT = 200 |
|
695 | self.HEIGHT = 200 | |
| 693 | self.WIDTHPROF = 120 |
|
696 | self.WIDTHPROF = 120 | |
| 694 | self.HEIGHTPROF = 0 |
|
697 | self.HEIGHTPROF = 0 | |
| 695 |
|
698 | |||
| 696 | def getSubplots(self): |
|
699 | def getSubplots(self): | |
| 697 | ncol = 1 |
|
700 | ncol = 1 | |
| 698 | nrow = self.nplots*2 |
|
701 | nrow = self.nplots*2 | |
| 699 |
|
702 | |||
| 700 | return nrow, ncol |
|
703 | return nrow, ncol | |
| 701 |
|
704 | |||
| 702 | def setup(self, idfigure, nplots, wintitle, showprofile=True): |
|
705 | def setup(self, idfigure, nplots, wintitle, showprofile=True): | |
| 703 | self.__showprofile = showprofile |
|
706 | self.__showprofile = showprofile | |
| 704 | self.nplots = nplots |
|
707 | self.nplots = nplots | |
| 705 |
|
708 | |||
| 706 | ncolspan = 1 |
|
709 | ncolspan = 1 | |
| 707 | colspan = 1 |
|
710 | colspan = 1 | |
| 708 | if showprofile: |
|
711 | if showprofile: | |
| 709 | ncolspan = 7 |
|
712 | ncolspan = 7 | |
| 710 | colspan = 6 |
|
713 | colspan = 6 | |
| 711 | self.__nsubplots = 2 |
|
714 | self.__nsubplots = 2 | |
| 712 |
|
715 | |||
| 713 | self.createFigure(idfigure = idfigure, |
|
716 | self.createFigure(idfigure = idfigure, | |
| 714 | wintitle = wintitle, |
|
717 | wintitle = wintitle, | |
| 715 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
718 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 716 | heightplot = self.HEIGHT + self.HEIGHTPROF) |
|
719 | heightplot = self.HEIGHT + self.HEIGHTPROF) | |
| 717 |
|
720 | |||
| 718 | nrow, ncol = self.getSubplots() |
|
721 | nrow, ncol = self.getSubplots() | |
| 719 |
|
722 | |||
| 720 | for y in range(nrow): |
|
723 | for y in range(nrow): | |
| 721 | for x in range(ncol): |
|
724 | for x in range(ncol): | |
| 722 |
|
725 | |||
| 723 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) |
|
726 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1) | |
| 724 |
|
727 | |||
| 725 | if showprofile: |
|
728 | if showprofile: | |
| 726 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) |
|
729 | self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1) | |
| 727 |
|
730 | |||
| 728 | def run(self, dataOut, idfigure, wintitle="", pairsList=None, showprofile='True', |
|
731 | def run(self, dataOut, idfigure, wintitle="", pairsList=None, showprofile='True', | |
| 729 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
732 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 730 | timerange=None, |
|
733 | timerange=None, | |
| 731 | save=False, figpath='./', figfile=None): |
|
734 | save=False, figpath='./', figfile=None): | |
| 732 |
|
735 | |||
| 733 | if pairsList == None: |
|
736 | if pairsList == None: | |
| 734 | pairsIndexList = dataOut.pairsIndexList |
|
737 | pairsIndexList = dataOut.pairsIndexList | |
| 735 | else: |
|
738 | else: | |
| 736 | pairsIndexList = [] |
|
739 | pairsIndexList = [] | |
| 737 | for pair in pairsList: |
|
740 | for pair in pairsList: | |
| 738 | if pair not in dataOut.pairsList: |
|
741 | if pair not in dataOut.pairsList: | |
| 739 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) |
|
742 | raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair) | |
| 740 | pairsIndexList.append(dataOut.pairsList.index(pair)) |
|
743 | pairsIndexList.append(dataOut.pairsList.index(pair)) | |
| 741 |
|
744 | |||
| 742 | if timerange != None: |
|
745 | if timerange != None: | |
| 743 | self.timerange = timerange |
|
746 | self.timerange = timerange | |
| 744 |
|
747 | |||
| 745 | if pairsIndexList == []: |
|
748 | if pairsIndexList == []: | |
| 746 | return |
|
749 | return | |
| 747 |
|
750 | |||
| 748 | if len(pairsIndexList) > 4: |
|
751 | if len(pairsIndexList) > 4: | |
| 749 | pairsIndexList = pairsIndexList[0:4] |
|
752 | pairsIndexList = pairsIndexList[0:4] | |
| 750 |
|
753 | |||
| 751 | tmin = None |
|
754 | tmin = None | |
| 752 | tmax = None |
|
755 | tmax = None | |
| 753 | x = dataOut.getTimeRange() |
|
756 | x = dataOut.getTimeRange() | |
| 754 | y = dataOut.getHeiRange() |
|
757 | y = dataOut.getHeiRange() | |
| 755 |
|
758 | |||
| 756 | thisDatetime = dataOut.datatime |
|
759 | thisDatetime = dataOut.datatime | |
| 757 | title = "CoherenceMap: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
760 | title = "CoherenceMap: %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 758 | xlabel = "" |
|
761 | xlabel = "" | |
| 759 | ylabel = "Range (Km)" |
|
762 | ylabel = "Range (Km)" | |
| 760 |
|
763 | |||
| 761 | if not self.__isConfig: |
|
764 | if not self.__isConfig: | |
| 762 | nplots = len(pairsIndexList) |
|
765 | nplots = len(pairsIndexList) | |
| 763 | self.setup(idfigure=idfigure, |
|
766 | self.setup(idfigure=idfigure, | |
| 764 | nplots=nplots, |
|
767 | nplots=nplots, | |
| 765 | wintitle=wintitle, |
|
768 | wintitle=wintitle, | |
| 766 | showprofile=showprofile) |
|
769 | showprofile=showprofile) | |
| 767 |
|
770 | |||
| 768 | tmin, tmax = self.getTimeLim(x, xmin, xmax) |
|
771 | tmin, tmax = self.getTimeLim(x, xmin, xmax) | |
| 769 | if ymin == None: ymin = numpy.nanmin(y) |
|
772 | if ymin == None: ymin = numpy.nanmin(y) | |
| 770 | if ymax == None: ymax = numpy.nanmax(y) |
|
773 | if ymax == None: ymax = numpy.nanmax(y) | |
| 771 |
|
774 | |||
| 772 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") |
|
775 | self.name = thisDatetime.strftime("%Y%m%d_%H%M%S") | |
| 773 |
|
776 | |||
| 774 | self.__isConfig = True |
|
777 | self.__isConfig = True | |
| 775 |
|
778 | |||
| 776 | self.setWinTitle(title) |
|
779 | self.setWinTitle(title) | |
| 777 |
|
780 | |||
| 778 | for i in range(self.nplots): |
|
781 | for i in range(self.nplots): | |
| 779 |
|
782 | |||
| 780 | pair = dataOut.pairsList[pairsIndexList[i]] |
|
783 | pair = dataOut.pairsList[pairsIndexList[i]] | |
| 781 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[pair[0],:,:]*dataOut.data_spc[pair[1],:,:]) |
|
784 | coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[pair[0],:,:]*dataOut.data_spc[pair[1],:,:]) | |
| 782 | coherence = numpy.abs(coherenceComplex) |
|
785 | coherence = numpy.abs(coherenceComplex) | |
| 783 | avg = numpy.average(coherence, axis=0) |
|
786 | avg = numpy.average(coherence, axis=0) | |
| 784 | z = avg.reshape((1,-1)) |
|
787 | z = avg.reshape((1,-1)) | |
| 785 |
|
788 | |||
| 786 | counter = 0 |
|
789 | counter = 0 | |
| 787 |
|
790 | |||
| 788 | title = "Coherence %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
791 | title = "Coherence %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 789 | axes = self.axesList[i*self.__nsubplots*2] |
|
792 | axes = self.axesList[i*self.__nsubplots*2] | |
| 790 | axes.pcolor(x, y, z, |
|
793 | axes.pcolor(x, y, z, | |
| 791 | xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=0, zmax=1, |
|
794 | xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=0, zmax=1, | |
| 792 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
795 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 793 | ticksize=9, cblabel='', cbsize="1%") |
|
796 | ticksize=9, cblabel='', cbsize="1%") | |
| 794 |
|
797 | |||
| 795 | if self.__showprofile: |
|
798 | if self.__showprofile: | |
| 796 | counter += 1 |
|
799 | counter += 1 | |
| 797 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
800 | axes = self.axesList[i*self.__nsubplots*2 + counter] | |
| 798 | axes.pline(avg, y, |
|
801 | axes.pline(avg, y, | |
| 799 | xmin=0, xmax=1, ymin=ymin, ymax=ymax, |
|
802 | xmin=0, xmax=1, ymin=ymin, ymax=ymax, | |
| 800 | xlabel='', ylabel='', title='', ticksize=7, |
|
803 | xlabel='', ylabel='', title='', ticksize=7, | |
| 801 | ytick_visible=False, nxticks=5, |
|
804 | ytick_visible=False, nxticks=5, | |
| 802 | grid='x') |
|
805 | grid='x') | |
| 803 |
|
806 | |||
| 804 | counter += 1 |
|
807 | counter += 1 | |
| 805 | phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi |
|
808 | phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi | |
| 806 | avg = numpy.average(phase, axis=0) |
|
809 | avg = numpy.average(phase, axis=0) | |
| 807 | z = avg.reshape((1,-1)) |
|
810 | z = avg.reshape((1,-1)) | |
| 808 |
|
811 | |||
| 809 | title = "Phase %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
812 | title = "Phase %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 810 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
813 | axes = self.axesList[i*self.__nsubplots*2 + counter] | |
| 811 | axes.pcolor(x, y, z, |
|
814 | axes.pcolor(x, y, z, | |
| 812 | xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180, |
|
815 | xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180, | |
| 813 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
816 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 814 | ticksize=9, cblabel='', colormap='RdBu', cbsize="1%") |
|
817 | ticksize=9, cblabel='', colormap='RdBu', cbsize="1%") | |
| 815 |
|
818 | |||
| 816 | if self.__showprofile: |
|
819 | if self.__showprofile: | |
| 817 | counter += 1 |
|
820 | counter += 1 | |
| 818 | axes = self.axesList[i*self.__nsubplots*2 + counter] |
|
821 | axes = self.axesList[i*self.__nsubplots*2 + counter] | |
| 819 | axes.pline(avg, y, |
|
822 | axes.pline(avg, y, | |
| 820 | xmin=-180, xmax=180, ymin=ymin, ymax=ymax, |
|
823 | xmin=-180, xmax=180, ymin=ymin, ymax=ymax, | |
| 821 | xlabel='', ylabel='', title='', ticksize=7, |
|
824 | xlabel='', ylabel='', title='', ticksize=7, | |
| 822 | ytick_visible=False, nxticks=4, |
|
825 | ytick_visible=False, nxticks=4, | |
| 823 | grid='x') |
|
826 | grid='x') | |
| 824 |
|
827 | |||
| 825 | self.draw() |
|
828 | self.draw() | |
| 826 |
|
829 | |||
| 827 | if save: |
|
830 | if save: | |
| 828 |
|
831 | |||
| 829 | if figfile == None: |
|
832 | if figfile == None: | |
| 830 | figfile = self.getFilename(name = self.name) |
|
833 | figfile = self.getFilename(name = self.name) | |
| 831 |
|
834 | |||
| 832 | self.saveFigure(figpath, figfile) |
|
835 | self.saveFigure(figpath, figfile) | |
| 833 |
|
836 | |||
| 834 | if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax: |
|
837 | if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax: | |
| 835 | self.__isConfig = False |
|
838 | self.__isConfig = False | |
| 836 |
|
839 | |||
| 837 | class RTIfromNoise(Figure): |
|
840 | class RTIfromNoise(Figure): | |
| 838 |
|
841 | |||
| 839 | __isConfig = None |
|
842 | __isConfig = None | |
| 840 | __nsubplots = None |
|
843 | __nsubplots = None | |
| 841 |
|
844 | |||
| 842 | WIDTHPROF = None |
|
845 | WIDTHPROF = None | |
| 843 | HEIGHTPROF = None |
|
846 | HEIGHTPROF = None | |
| 844 | PREFIX = 'rti' |
|
847 | PREFIX = 'rti' | |
| 845 |
|
848 | |||
| 846 | def __init__(self): |
|
849 | def __init__(self): | |
| 847 |
|
850 | |||
| 848 | self.__timerange = 24*60*60 |
|
851 | self.__timerange = 24*60*60 | |
| 849 | self.__isConfig = False |
|
852 | self.__isConfig = False | |
| 850 | self.__nsubplots = 1 |
|
853 | self.__nsubplots = 1 | |
| 851 |
|
854 | |||
| 852 | self.WIDTH = 800 |
|
855 | self.WIDTH = 800 | |
| 853 | self.HEIGHT = 200 |
|
856 | self.HEIGHT = 200 | |
| 854 |
|
857 | |||
| 855 | def getSubplots(self): |
|
858 | def getSubplots(self): | |
| 856 |
|
859 | |||
| 857 | ncol = 1 |
|
860 | ncol = 1 | |
| 858 | nrow = self.nplots |
|
861 | nrow = self.nplots | |
| 859 |
|
862 | |||
| 860 | return nrow, ncol |
|
863 | return nrow, ncol | |
| 861 |
|
864 | |||
| 862 | def setup(self, idfigure, nplots, wintitle, showprofile=True): |
|
865 | def setup(self, idfigure, nplots, wintitle, showprofile=True): | |
| 863 |
|
866 | |||
| 864 | self.__showprofile = showprofile |
|
867 | self.__showprofile = showprofile | |
| 865 | self.nplots = nplots |
|
868 | self.nplots = nplots | |
| 866 |
|
869 | |||
| 867 | ncolspan = 1 |
|
870 | ncolspan = 1 | |
| 868 | colspan = 1 |
|
871 | colspan = 1 | |
| 869 |
|
872 | |||
| 870 | self.createFigure(idfigure = idfigure, |
|
873 | self.createFigure(idfigure = idfigure, | |
| 871 | wintitle = wintitle, |
|
874 | wintitle = wintitle, | |
| 872 | widthplot = self.WIDTH + self.WIDTHPROF, |
|
875 | widthplot = self.WIDTH + self.WIDTHPROF, | |
| 873 | heightplot = self.HEIGHT + self.HEIGHTPROF) |
|
876 | heightplot = self.HEIGHT + self.HEIGHTPROF) | |
| 874 |
|
877 | |||
| 875 | nrow, ncol = self.getSubplots() |
|
878 | nrow, ncol = self.getSubplots() | |
| 876 |
|
879 | |||
| 877 | self.addAxes(nrow, ncol, 0, 0, 1, 1) |
|
880 | self.addAxes(nrow, ncol, 0, 0, 1, 1) | |
| 878 |
|
881 | |||
| 879 |
|
882 | |||
| 880 |
|
883 | |||
| 881 | def __getTimeLim(self, x, xmin, xmax): |
|
884 | def __getTimeLim(self, x, xmin, xmax): | |
| 882 |
|
885 | |||
| 883 | thisdatetime = datetime.datetime.fromtimestamp(numpy.min(x)) |
|
886 | thisdatetime = datetime.datetime.fromtimestamp(numpy.min(x)) | |
| 884 | thisdate = datetime.datetime.combine(thisdatetime.date(), datetime.time(0,0,0)) |
|
887 | thisdate = datetime.datetime.combine(thisdatetime.date(), datetime.time(0,0,0)) | |
| 885 |
|
888 | |||
| 886 | #################################################### |
|
889 | #################################################### | |
| 887 | #If the x is out of xrange |
|
890 | #If the x is out of xrange | |
| 888 | if xmax < (thisdatetime - thisdate).seconds/(60*60.): |
|
891 | if xmax < (thisdatetime - thisdate).seconds/(60*60.): | |
| 889 | xmin = None |
|
892 | xmin = None | |
| 890 | xmax = None |
|
893 | xmax = None | |
| 891 |
|
894 | |||
| 892 | if xmin == None: |
|
895 | if xmin == None: | |
| 893 | td = thisdatetime - thisdate |
|
896 | td = thisdatetime - thisdate | |
| 894 | xmin = td.seconds/(60*60.) |
|
897 | xmin = td.seconds/(60*60.) | |
| 895 |
|
898 | |||
| 896 | if xmax == None: |
|
899 | if xmax == None: | |
| 897 | xmax = xmin + self.__timerange/(60*60.) |
|
900 | xmax = xmin + self.__timerange/(60*60.) | |
| 898 |
|
901 | |||
| 899 | mindt = thisdate + datetime.timedelta(0,0,0,0,0, xmin) |
|
902 | mindt = thisdate + datetime.timedelta(0,0,0,0,0, xmin) | |
| 900 | tmin = time.mktime(mindt.timetuple()) |
|
903 | tmin = time.mktime(mindt.timetuple()) | |
| 901 |
|
904 | |||
| 902 | maxdt = thisdate + datetime.timedelta(0,0,0,0,0, xmax) |
|
905 | maxdt = thisdate + datetime.timedelta(0,0,0,0,0, xmax) | |
| 903 | tmax = time.mktime(maxdt.timetuple()) |
|
906 | tmax = time.mktime(maxdt.timetuple()) | |
| 904 |
|
907 | |||
| 905 | self.__timerange = tmax - tmin |
|
908 | self.__timerange = tmax - tmin | |
| 906 |
|
909 | |||
| 907 | return tmin, tmax |
|
910 | return tmin, tmax | |
| 908 |
|
911 | |||
| 909 | def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True', |
|
912 | def run(self, dataOut, idfigure, wintitle="", channelList=None, showprofile='True', | |
| 910 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, |
|
913 | xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, | |
| 911 | timerange=None, |
|
914 | timerange=None, | |
| 912 | save=False, figpath='./', figfile=None): |
|
915 | save=False, figpath='./', figfile=None): | |
| 913 |
|
916 | |||
| 914 | if channelList == None: |
|
917 | if channelList == None: | |
| 915 | channelIndexList = dataOut.channelIndexList |
|
918 | channelIndexList = dataOut.channelIndexList | |
| 916 | else: |
|
919 | else: | |
| 917 | channelIndexList = [] |
|
920 | channelIndexList = [] | |
| 918 | for channel in channelList: |
|
921 | for channel in channelList: | |
| 919 | if channel not in dataOut.channelList: |
|
922 | if channel not in dataOut.channelList: | |
| 920 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
923 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
| 921 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
924 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 922 |
|
925 | |||
| 923 | if timerange != None: |
|
926 | if timerange != None: | |
| 924 | self.__timerange = timerange |
|
927 | self.__timerange = timerange | |
| 925 |
|
928 | |||
| 926 | tmin = None |
|
929 | tmin = None | |
| 927 | tmax = None |
|
930 | tmax = None | |
| 928 | x = dataOut.getTimeRange() |
|
931 | x = dataOut.getTimeRange() | |
| 929 | y = dataOut.getHeiRange() |
|
932 | y = dataOut.getHeiRange() | |
| 930 | x1 = dataOut.datatime |
|
933 | x1 = dataOut.datatime | |
| 931 | # z = 10.*numpy.log10(dataOut.data_spc[channelIndexList,:,:]) |
|
934 | # z = 10.*numpy.log10(dataOut.data_spc[channelIndexList,:,:]) | |
| 932 | # avg = numpy.average(z, axis=1) |
|
935 | # avg = numpy.average(z, axis=1) | |
| 933 |
|
936 | |||
| 934 | noise = dataOut.getNoise() |
|
937 | noise = dataOut.getNoise() | |
| 935 |
|
938 | |||
| 936 | thisDatetime = dataOut.datatime |
|
939 | thisDatetime = dataOut.datatime | |
| 937 | title = "RTI: %s" %(thisDatetime.strftime("%d-%b-%Y")) |
|
940 | title = "RTI: %s" %(thisDatetime.strftime("%d-%b-%Y")) | |
| 938 | xlabel = "Velocity (m/s)" |
|
941 | xlabel = "Velocity (m/s)" | |
| 939 | ylabel = "Range (Km)" |
|
942 | ylabel = "Range (Km)" | |
| 940 |
|
943 | |||
| 941 |
|
944 | |||
| 942 | if not self.__isConfig: |
|
945 | if not self.__isConfig: | |
| 943 |
|
946 | |||
| 944 | nplots = len(channelIndexList) |
|
947 | nplots = len(channelIndexList) | |
| 945 |
|
948 | |||
| 946 | self.setup(idfigure=idfigure, |
|
949 | self.setup(idfigure=idfigure, | |
| 947 | nplots=nplots, |
|
950 | nplots=nplots, | |
| 948 | wintitle=wintitle, |
|
951 | wintitle=wintitle, | |
| 949 | showprofile=showprofile) |
|
952 | showprofile=showprofile) | |
| 950 |
|
953 | |||
| 951 | tmin, tmax = self.__getTimeLim(x, xmin, xmax) |
|
954 | tmin, tmax = self.__getTimeLim(x, xmin, xmax) | |
| 952 | if ymin == None: ymin = numpy.nanmin(y) |
|
955 | if ymin == None: ymin = numpy.nanmin(y) | |
| 953 | if ymax == None: ymax = numpy.nanmax(y) |
|
956 | if ymax == None: ymax = numpy.nanmax(y) | |
| 954 | if zmin == None: zmin = numpy.nanmin(avg)*0.9 |
|
957 | if zmin == None: zmin = numpy.nanmin(avg)*0.9 | |
| 955 | if zmax == None: zmax = numpy.nanmax(avg)*0.9 |
|
958 | if zmax == None: zmax = numpy.nanmax(avg)*0.9 | |
| 956 |
|
959 | |||
| 957 | self.__isConfig = True |
|
960 | self.__isConfig = True | |
| 958 |
|
961 | |||
| 959 |
|
962 | |||
| 960 | self.setWinTitle(title) |
|
963 | self.setWinTitle(title) | |
| 961 |
|
964 | |||
| 962 | for i in range(self.nplots): |
|
965 | for i in range(self.nplots): | |
| 963 | title = "Channel %d: %s" %(dataOut.channelList[i], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) |
|
966 | title = "Channel %d: %s" %(dataOut.channelList[i], thisDatetime.strftime("%d-%b-%Y %H:%M:%S")) | |
| 964 | axes = self.axesList[i*self.__nsubplots] |
|
967 | axes = self.axesList[i*self.__nsubplots] | |
| 965 | z = avg[i].reshape((1,-1)) |
|
968 | z = avg[i].reshape((1,-1)) | |
| 966 | axes.pcolor(x, y, z, |
|
969 | axes.pcolor(x, y, z, | |
| 967 | xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, |
|
970 | xmin=tmin, xmax=tmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax, | |
| 968 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, |
|
971 | xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True, | |
| 969 | ticksize=9, cblabel='', cbsize="1%") |
|
972 | ticksize=9, cblabel='', cbsize="1%") | |
| 970 |
|
973 | |||
| 971 |
|
974 | |||
| 972 | self.draw() |
|
975 | self.draw() | |
| 973 |
|
976 | |||
| 974 | if save: |
|
977 | if save: | |
| 975 | date = thisDatetime.strftime("%Y%m%d") |
|
978 | date = thisDatetime.strftime("%Y%m%d") | |
| 976 | if figfile == None: |
|
979 | if figfile == None: | |
| 977 | figfile = self.getFilename(name = date) |
|
980 | figfile = self.getFilename(name = date) | |
| 978 |
|
981 | |||
| 979 | self.saveFigure(figpath, figfile) |
|
982 | self.saveFigure(figpath, figfile) | |
| 980 |
|
983 | |||
| 981 | if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax: |
|
984 | if x[1] + (x[1]-x[0]) >= self.axesList[0].xmax: | |
| 982 | self.__isConfig = False |
|
985 | self.__isConfig = False | |
| 983 | No newline at end of file |
|
986 | ||
| @@ -1,1153 +1,1157 | |||||
| 1 | ''' |
|
1 | ''' | |
| 2 |
|
2 | |||
| 3 | $Author: dsuarez $ |
|
3 | $Author: dsuarez $ | |
| 4 | $Id: Processor.py 1 2012-11-12 18:56:07Z dsuarez $ |
|
4 | $Id: Processor.py 1 2012-11-12 18:56:07Z dsuarez $ | |
| 5 | ''' |
|
5 | ''' | |
| 6 | import os |
|
6 | import os | |
| 7 | import numpy |
|
7 | import numpy | |
| 8 | import datetime |
|
8 | import datetime | |
| 9 | import time |
|
9 | import time | |
| 10 |
|
10 | |||
| 11 | from jrodata import * |
|
11 | from jrodata import * | |
| 12 | from jrodataIO import * |
|
12 | from jrodataIO import * | |
| 13 | from jroplot import * |
|
13 | from jroplot import * | |
| 14 |
|
14 | |||
| 15 | class ProcessingUnit: |
|
15 | class ProcessingUnit: | |
| 16 |
|
16 | |||
| 17 | """ |
|
17 | """ | |
| 18 | Esta es la clase base para el procesamiento de datos. |
|
18 | Esta es la clase base para el procesamiento de datos. | |
| 19 |
|
19 | |||
| 20 | Contiene el metodo "call" para llamar operaciones. Las operaciones pueden ser: |
|
20 | Contiene el metodo "call" para llamar operaciones. Las operaciones pueden ser: | |
| 21 | - Metodos internos (callMethod) |
|
21 | - Metodos internos (callMethod) | |
| 22 | - Objetos del tipo Operation (callObject). Antes de ser llamados, estos objetos |
|
22 | - Objetos del tipo Operation (callObject). Antes de ser llamados, estos objetos | |
| 23 | tienen que ser agreagados con el metodo "add". |
|
23 | tienen que ser agreagados con el metodo "add". | |
| 24 |
|
24 | |||
| 25 | """ |
|
25 | """ | |
| 26 | # objeto de datos de entrada (Voltage, Spectra o Correlation) |
|
26 | # objeto de datos de entrada (Voltage, Spectra o Correlation) | |
| 27 | dataIn = None |
|
27 | dataIn = None | |
| 28 |
|
28 | |||
| 29 | # objeto de datos de entrada (Voltage, Spectra o Correlation) |
|
29 | # objeto de datos de entrada (Voltage, Spectra o Correlation) | |
| 30 | dataOut = None |
|
30 | dataOut = None | |
| 31 |
|
31 | |||
| 32 |
|
32 | |||
| 33 | objectDict = None |
|
33 | objectDict = None | |
| 34 |
|
34 | |||
| 35 | def __init__(self): |
|
35 | def __init__(self): | |
| 36 |
|
36 | |||
| 37 | self.objectDict = {} |
|
37 | self.objectDict = {} | |
| 38 |
|
38 | |||
| 39 | def init(self): |
|
39 | def init(self): | |
| 40 |
|
40 | |||
| 41 | raise ValueError, "Not implemented" |
|
41 | raise ValueError, "Not implemented" | |
| 42 |
|
42 | |||
| 43 | def addOperation(self, object, objId): |
|
43 | def addOperation(self, object, objId): | |
| 44 |
|
44 | |||
| 45 | """ |
|
45 | """ | |
| 46 | Agrega el objeto "object" a la lista de objetos "self.objectList" y retorna el |
|
46 | Agrega el objeto "object" a la lista de objetos "self.objectList" y retorna el | |
| 47 | identificador asociado a este objeto. |
|
47 | identificador asociado a este objeto. | |
| 48 |
|
48 | |||
| 49 | Input: |
|
49 | Input: | |
| 50 |
|
50 | |||
| 51 | object : objeto de la clase "Operation" |
|
51 | object : objeto de la clase "Operation" | |
| 52 |
|
52 | |||
| 53 | Return: |
|
53 | Return: | |
| 54 |
|
54 | |||
| 55 | objId : identificador del objeto, necesario para ejecutar la operacion |
|
55 | objId : identificador del objeto, necesario para ejecutar la operacion | |
| 56 | """ |
|
56 | """ | |
| 57 |
|
57 | |||
| 58 | self.objectDict[objId] = object |
|
58 | self.objectDict[objId] = object | |
| 59 |
|
59 | |||
| 60 | return objId |
|
60 | return objId | |
| 61 |
|
61 | |||
| 62 | def operation(self, **kwargs): |
|
62 | def operation(self, **kwargs): | |
| 63 |
|
63 | |||
| 64 | """ |
|
64 | """ | |
| 65 | Operacion directa sobre la data (dataOut.data). Es necesario actualizar los valores de los |
|
65 | Operacion directa sobre la data (dataOut.data). Es necesario actualizar los valores de los | |
| 66 | atributos del objeto dataOut |
|
66 | atributos del objeto dataOut | |
| 67 |
|
67 | |||
| 68 | Input: |
|
68 | Input: | |
| 69 |
|
69 | |||
| 70 | **kwargs : Diccionario de argumentos de la funcion a ejecutar |
|
70 | **kwargs : Diccionario de argumentos de la funcion a ejecutar | |
| 71 | """ |
|
71 | """ | |
| 72 |
|
72 | |||
| 73 | raise ValueError, "ImplementedError" |
|
73 | raise ValueError, "ImplementedError" | |
| 74 |
|
74 | |||
| 75 | def callMethod(self, name, **kwargs): |
|
75 | def callMethod(self, name, **kwargs): | |
| 76 |
|
76 | |||
| 77 | """ |
|
77 | """ | |
| 78 | Ejecuta el metodo con el nombre "name" y con argumentos **kwargs de la propia clase. |
|
78 | Ejecuta el metodo con el nombre "name" y con argumentos **kwargs de la propia clase. | |
| 79 |
|
79 | |||
| 80 | Input: |
|
80 | Input: | |
| 81 | name : nombre del metodo a ejecutar |
|
81 | name : nombre del metodo a ejecutar | |
| 82 |
|
82 | |||
| 83 | **kwargs : diccionario con los nombres y valores de la funcion a ejecutar. |
|
83 | **kwargs : diccionario con los nombres y valores de la funcion a ejecutar. | |
| 84 |
|
84 | |||
| 85 | """ |
|
85 | """ | |
| 86 | if name != 'run': |
|
86 | if name != 'run': | |
| 87 |
|
87 | |||
| 88 | if name == 'init' and self.dataIn.isEmpty(): |
|
88 | if name == 'init' and self.dataIn.isEmpty(): | |
| 89 | self.dataOut.flagNoData = True |
|
89 | self.dataOut.flagNoData = True | |
| 90 | return False |
|
90 | return False | |
| 91 |
|
91 | |||
| 92 | if name != 'init' and self.dataOut.isEmpty(): |
|
92 | if name != 'init' and self.dataOut.isEmpty(): | |
| 93 | return False |
|
93 | return False | |
| 94 |
|
94 | |||
| 95 | methodToCall = getattr(self, name) |
|
95 | methodToCall = getattr(self, name) | |
| 96 |
|
96 | |||
| 97 | methodToCall(**kwargs) |
|
97 | methodToCall(**kwargs) | |
| 98 |
|
98 | |||
| 99 | if name != 'run': |
|
99 | if name != 'run': | |
| 100 | return True |
|
100 | return True | |
| 101 |
|
101 | |||
| 102 | if self.dataOut.isEmpty(): |
|
102 | if self.dataOut.isEmpty(): | |
| 103 | return False |
|
103 | return False | |
| 104 |
|
104 | |||
| 105 | return True |
|
105 | return True | |
| 106 |
|
106 | |||
| 107 | def callObject(self, objId, **kwargs): |
|
107 | def callObject(self, objId, **kwargs): | |
| 108 |
|
108 | |||
| 109 | """ |
|
109 | """ | |
| 110 | Ejecuta la operacion asociada al identificador del objeto "objId" |
|
110 | Ejecuta la operacion asociada al identificador del objeto "objId" | |
| 111 |
|
111 | |||
| 112 | Input: |
|
112 | Input: | |
| 113 |
|
113 | |||
| 114 | objId : identificador del objeto a ejecutar |
|
114 | objId : identificador del objeto a ejecutar | |
| 115 |
|
115 | |||
| 116 | **kwargs : diccionario con los nombres y valores de la funcion a ejecutar. |
|
116 | **kwargs : diccionario con los nombres y valores de la funcion a ejecutar. | |
| 117 |
|
117 | |||
| 118 | Return: |
|
118 | Return: | |
| 119 |
|
119 | |||
| 120 | None |
|
120 | None | |
| 121 | """ |
|
121 | """ | |
| 122 |
|
122 | |||
| 123 | if self.dataOut.isEmpty(): |
|
123 | if self.dataOut.isEmpty(): | |
| 124 | return False |
|
124 | return False | |
| 125 |
|
125 | |||
| 126 | object = self.objectDict[objId] |
|
126 | object = self.objectDict[objId] | |
| 127 |
|
127 | |||
| 128 | object.run(self.dataOut, **kwargs) |
|
128 | object.run(self.dataOut, **kwargs) | |
| 129 |
|
129 | |||
| 130 | return True |
|
130 | return True | |
| 131 |
|
131 | |||
| 132 | def call(self, operationConf, **kwargs): |
|
132 | def call(self, operationConf, **kwargs): | |
| 133 |
|
133 | |||
| 134 | """ |
|
134 | """ | |
| 135 | Return True si ejecuta la operacion "operationConf.name" con los |
|
135 | Return True si ejecuta la operacion "operationConf.name" con los | |
| 136 | argumentos "**kwargs". False si la operacion no se ha ejecutado. |
|
136 | argumentos "**kwargs". False si la operacion no se ha ejecutado. | |
| 137 | La operacion puede ser de dos tipos: |
|
137 | La operacion puede ser de dos tipos: | |
| 138 |
|
138 | |||
| 139 | 1. Un metodo propio de esta clase: |
|
139 | 1. Un metodo propio de esta clase: | |
| 140 |
|
140 | |||
| 141 | operation.type = "self" |
|
141 | operation.type = "self" | |
| 142 |
|
142 | |||
| 143 | 2. El metodo "run" de un objeto del tipo Operation o de un derivado de ella: |
|
143 | 2. El metodo "run" de un objeto del tipo Operation o de un derivado de ella: | |
| 144 | operation.type = "other". |
|
144 | operation.type = "other". | |
| 145 |
|
145 | |||
| 146 | Este objeto de tipo Operation debe de haber sido agregado antes con el metodo: |
|
146 | Este objeto de tipo Operation debe de haber sido agregado antes con el metodo: | |
| 147 | "addOperation" e identificado con el operation.id |
|
147 | "addOperation" e identificado con el operation.id | |
| 148 |
|
148 | |||
| 149 |
|
149 | |||
| 150 | con el id de la operacion. |
|
150 | con el id de la operacion. | |
| 151 |
|
151 | |||
| 152 | Input: |
|
152 | Input: | |
| 153 |
|
153 | |||
| 154 | Operation : Objeto del tipo operacion con los atributos: name, type y id. |
|
154 | Operation : Objeto del tipo operacion con los atributos: name, type y id. | |
| 155 |
|
155 | |||
| 156 | """ |
|
156 | """ | |
| 157 |
|
157 | |||
| 158 | if operationConf.type == 'self': |
|
158 | if operationConf.type == 'self': | |
| 159 | sts = self.callMethod(operationConf.name, **kwargs) |
|
159 | sts = self.callMethod(operationConf.name, **kwargs) | |
| 160 |
|
160 | |||
| 161 | if operationConf.type == 'other': |
|
161 | if operationConf.type == 'other': | |
| 162 | sts = self.callObject(operationConf.id, **kwargs) |
|
162 | sts = self.callObject(operationConf.id, **kwargs) | |
| 163 |
|
163 | |||
| 164 | return sts |
|
164 | return sts | |
| 165 |
|
165 | |||
| 166 | def setInput(self, dataIn): |
|
166 | def setInput(self, dataIn): | |
| 167 |
|
167 | |||
| 168 | self.dataIn = dataIn |
|
168 | self.dataIn = dataIn | |
| 169 |
|
169 | |||
| 170 | def getOutput(self): |
|
170 | def getOutput(self): | |
| 171 |
|
171 | |||
| 172 | return self.dataOut |
|
172 | return self.dataOut | |
| 173 |
|
173 | |||
| 174 | class Operation(): |
|
174 | class Operation(): | |
| 175 |
|
175 | |||
| 176 | """ |
|
176 | """ | |
| 177 | Clase base para definir las operaciones adicionales que se pueden agregar a la clase ProcessingUnit |
|
177 | Clase base para definir las operaciones adicionales que se pueden agregar a la clase ProcessingUnit | |
| 178 | y necesiten acumular informacion previa de los datos a procesar. De preferencia usar un buffer de |
|
178 | y necesiten acumular informacion previa de los datos a procesar. De preferencia usar un buffer de | |
| 179 | acumulacion dentro de esta clase |
|
179 | acumulacion dentro de esta clase | |
| 180 |
|
180 | |||
| 181 | Ejemplo: Integraciones coherentes, necesita la informacion previa de los n perfiles anteriores (bufffer) |
|
181 | Ejemplo: Integraciones coherentes, necesita la informacion previa de los n perfiles anteriores (bufffer) | |
| 182 |
|
182 | |||
| 183 | """ |
|
183 | """ | |
| 184 |
|
184 | |||
| 185 | __buffer = None |
|
185 | __buffer = None | |
| 186 | __isConfig = False |
|
186 | __isConfig = False | |
| 187 |
|
187 | |||
| 188 | def __init__(self): |
|
188 | def __init__(self): | |
| 189 |
|
189 | |||
| 190 | pass |
|
190 | pass | |
| 191 |
|
191 | |||
| 192 | def run(self, dataIn, **kwargs): |
|
192 | def run(self, dataIn, **kwargs): | |
| 193 |
|
193 | |||
| 194 | """ |
|
194 | """ | |
| 195 | Realiza las operaciones necesarias sobre la dataIn.data y actualiza los atributos del objeto dataIn. |
|
195 | Realiza las operaciones necesarias sobre la dataIn.data y actualiza los atributos del objeto dataIn. | |
| 196 |
|
196 | |||
| 197 | Input: |
|
197 | Input: | |
| 198 |
|
198 | |||
| 199 | dataIn : objeto del tipo JROData |
|
199 | dataIn : objeto del tipo JROData | |
| 200 |
|
200 | |||
| 201 | Return: |
|
201 | Return: | |
| 202 |
|
202 | |||
| 203 | None |
|
203 | None | |
| 204 |
|
204 | |||
| 205 | Affected: |
|
205 | Affected: | |
| 206 | __buffer : buffer de recepcion de datos. |
|
206 | __buffer : buffer de recepcion de datos. | |
| 207 |
|
207 | |||
| 208 | """ |
|
208 | """ | |
| 209 |
|
209 | |||
| 210 | raise ValueError, "ImplementedError" |
|
210 | raise ValueError, "ImplementedError" | |
| 211 |
|
211 | |||
| 212 | class VoltageProc(ProcessingUnit): |
|
212 | class VoltageProc(ProcessingUnit): | |
| 213 |
|
213 | |||
| 214 |
|
214 | |||
| 215 | def __init__(self): |
|
215 | def __init__(self): | |
| 216 |
|
216 | |||
| 217 | self.objectDict = {} |
|
217 | self.objectDict = {} | |
| 218 | self.dataOut = Voltage() |
|
218 | self.dataOut = Voltage() | |
|
|
219 | self.flip = 1 | |||
| 219 |
|
220 | |||
| 220 | def init(self): |
|
221 | def init(self): | |
| 221 |
|
222 | |||
| 222 | self.dataOut.copy(self.dataIn) |
|
223 | self.dataOut.copy(self.dataIn) | |
| 223 | # No necesita copiar en cada init() los atributos de dataIn |
|
224 | # No necesita copiar en cada init() los atributos de dataIn | |
| 224 | # la copia deberia hacerse por cada nuevo bloque de datos |
|
225 | # la copia deberia hacerse por cada nuevo bloque de datos | |
| 225 |
|
226 | |||
| 226 | def selectChannels(self, channelList): |
|
227 | def selectChannels(self, channelList): | |
| 227 |
|
228 | |||
| 228 | channelIndexList = [] |
|
229 | channelIndexList = [] | |
| 229 |
|
230 | |||
| 230 | for channel in channelList: |
|
231 | for channel in channelList: | |
| 231 | index = self.dataOut.channelList.index(channel) |
|
232 | index = self.dataOut.channelList.index(channel) | |
| 232 | channelIndexList.append(index) |
|
233 | channelIndexList.append(index) | |
| 233 |
|
234 | |||
| 234 | self.selectChannelsByIndex(channelIndexList) |
|
235 | self.selectChannelsByIndex(channelIndexList) | |
| 235 |
|
236 | |||
| 236 | def selectChannelsByIndex(self, channelIndexList): |
|
237 | def selectChannelsByIndex(self, channelIndexList): | |
| 237 | """ |
|
238 | """ | |
| 238 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
239 | Selecciona un bloque de datos en base a canales segun el channelIndexList | |
| 239 |
|
240 | |||
| 240 | Input: |
|
241 | Input: | |
| 241 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
242 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] | |
| 242 |
|
243 | |||
| 243 | Affected: |
|
244 | Affected: | |
| 244 | self.dataOut.data |
|
245 | self.dataOut.data | |
| 245 | self.dataOut.channelIndexList |
|
246 | self.dataOut.channelIndexList | |
| 246 | self.dataOut.nChannels |
|
247 | self.dataOut.nChannels | |
| 247 | self.dataOut.m_ProcessingHeader.totalSpectra |
|
248 | self.dataOut.m_ProcessingHeader.totalSpectra | |
| 248 | self.dataOut.systemHeaderObj.numChannels |
|
249 | self.dataOut.systemHeaderObj.numChannels | |
| 249 | self.dataOut.m_ProcessingHeader.blockSize |
|
250 | self.dataOut.m_ProcessingHeader.blockSize | |
| 250 |
|
251 | |||
| 251 | Return: |
|
252 | Return: | |
| 252 | None |
|
253 | None | |
| 253 | """ |
|
254 | """ | |
| 254 |
|
255 | |||
| 255 | for channelIndex in channelIndexList: |
|
256 | for channelIndex in channelIndexList: | |
| 256 | if channelIndex not in self.dataOut.channelIndexList: |
|
257 | if channelIndex not in self.dataOut.channelIndexList: | |
| 257 | print channelIndexList |
|
258 | print channelIndexList | |
| 258 | raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex |
|
259 | raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex | |
| 259 |
|
260 | |||
| 260 | nChannels = len(channelIndexList) |
|
261 | nChannels = len(channelIndexList) | |
| 261 |
|
262 | |||
| 262 | data = self.dataOut.data[channelIndexList,:] |
|
263 | data = self.dataOut.data[channelIndexList,:] | |
| 263 |
|
264 | |||
| 264 | self.dataOut.data = data |
|
265 | self.dataOut.data = data | |
| 265 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
266 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] | |
| 266 | # self.dataOut.nChannels = nChannels |
|
267 | # self.dataOut.nChannels = nChannels | |
| 267 |
|
268 | |||
| 268 | return 1 |
|
269 | return 1 | |
| 269 |
|
270 | |||
| 270 | def selectHeights(self, minHei, maxHei): |
|
271 | def selectHeights(self, minHei, maxHei): | |
| 271 | """ |
|
272 | """ | |
| 272 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango |
|
273 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango | |
| 273 | minHei <= height <= maxHei |
|
274 | minHei <= height <= maxHei | |
| 274 |
|
275 | |||
| 275 | Input: |
|
276 | Input: | |
| 276 | minHei : valor minimo de altura a considerar |
|
277 | minHei : valor minimo de altura a considerar | |
| 277 | maxHei : valor maximo de altura a considerar |
|
278 | maxHei : valor maximo de altura a considerar | |
| 278 |
|
279 | |||
| 279 | Affected: |
|
280 | Affected: | |
| 280 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex |
|
281 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex | |
| 281 |
|
282 | |||
| 282 | Return: |
|
283 | Return: | |
| 283 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
284 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 | |
| 284 | """ |
|
285 | """ | |
| 285 | if (minHei < self.dataOut.heightList[0]) or (minHei > maxHei): |
|
286 | if (minHei < self.dataOut.heightList[0]) or (minHei > maxHei): | |
| 286 | raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
287 | raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) | |
| 287 |
|
288 | |||
| 288 | if (maxHei > self.dataOut.heightList[-1]): |
|
289 | if (maxHei > self.dataOut.heightList[-1]): | |
| 289 | maxHei = self.dataOut.heightList[-1] |
|
290 | maxHei = self.dataOut.heightList[-1] | |
| 290 | # raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) |
|
291 | # raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei) | |
| 291 |
|
292 | |||
| 292 | minIndex = 0 |
|
293 | minIndex = 0 | |
| 293 | maxIndex = 0 |
|
294 | maxIndex = 0 | |
| 294 | data = self.dataOut.heightList |
|
295 | data = self.dataOut.heightList | |
| 295 |
|
296 | |||
| 296 | for i,val in enumerate(data): |
|
297 | for i,val in enumerate(data): | |
| 297 | if val < minHei: |
|
298 | if val < minHei: | |
| 298 | continue |
|
299 | continue | |
| 299 | else: |
|
300 | else: | |
| 300 | minIndex = i; |
|
301 | minIndex = i; | |
| 301 | break |
|
302 | break | |
| 302 |
|
303 | |||
| 303 | for i,val in enumerate(data): |
|
304 | for i,val in enumerate(data): | |
| 304 | if val <= maxHei: |
|
305 | if val <= maxHei: | |
| 305 | maxIndex = i; |
|
306 | maxIndex = i; | |
| 306 | else: |
|
307 | else: | |
| 307 | break |
|
308 | break | |
| 308 |
|
309 | |||
| 309 | self.selectHeightsByIndex(minIndex, maxIndex) |
|
310 | self.selectHeightsByIndex(minIndex, maxIndex) | |
| 310 |
|
311 | |||
| 311 | return 1 |
|
312 | return 1 | |
| 312 |
|
313 | |||
| 313 |
|
314 | |||
| 314 | def selectHeightsByIndex(self, minIndex, maxIndex): |
|
315 | def selectHeightsByIndex(self, minIndex, maxIndex): | |
| 315 | """ |
|
316 | """ | |
| 316 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango |
|
317 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango | |
| 317 | minIndex <= index <= maxIndex |
|
318 | minIndex <= index <= maxIndex | |
| 318 |
|
319 | |||
| 319 | Input: |
|
320 | Input: | |
| 320 | minIndex : valor de indice minimo de altura a considerar |
|
321 | minIndex : valor de indice minimo de altura a considerar | |
| 321 | maxIndex : valor de indice maximo de altura a considerar |
|
322 | maxIndex : valor de indice maximo de altura a considerar | |
| 322 |
|
323 | |||
| 323 | Affected: |
|
324 | Affected: | |
| 324 | self.dataOut.data |
|
325 | self.dataOut.data | |
| 325 | self.dataOut.heightList |
|
326 | self.dataOut.heightList | |
| 326 |
|
327 | |||
| 327 | Return: |
|
328 | Return: | |
| 328 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 |
|
329 | 1 si el metodo se ejecuto con exito caso contrario devuelve 0 | |
| 329 | """ |
|
330 | """ | |
| 330 |
|
331 | |||
| 331 | if (minIndex < 0) or (minIndex > maxIndex): |
|
332 | if (minIndex < 0) or (minIndex > maxIndex): | |
| 332 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
333 | raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) | |
| 333 |
|
334 | |||
| 334 | if (maxIndex >= self.dataOut.nHeights): |
|
335 | if (maxIndex >= self.dataOut.nHeights): | |
| 335 | maxIndex = self.dataOut.nHeights-1 |
|
336 | maxIndex = self.dataOut.nHeights-1 | |
| 336 | # raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) |
|
337 | # raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex) | |
| 337 |
|
338 | |||
| 338 | nHeights = maxIndex - minIndex + 1 |
|
339 | nHeights = maxIndex - minIndex + 1 | |
| 339 |
|
340 | |||
| 340 | #voltage |
|
341 | #voltage | |
| 341 | data = self.dataOut.data[:,minIndex:maxIndex+1] |
|
342 | data = self.dataOut.data[:,minIndex:maxIndex+1] | |
| 342 |
|
343 | |||
| 343 | firstHeight = self.dataOut.heightList[minIndex] |
|
344 | firstHeight = self.dataOut.heightList[minIndex] | |
| 344 |
|
345 | |||
| 345 | self.dataOut.data = data |
|
346 | self.dataOut.data = data | |
| 346 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex+1] |
|
347 | self.dataOut.heightList = self.dataOut.heightList[minIndex:maxIndex+1] | |
| 347 |
|
348 | |||
| 348 | return 1 |
|
349 | return 1 | |
| 349 |
|
350 | |||
| 350 |
|
351 | |||
| 351 | def filterByHeights(self, window): |
|
352 | def filterByHeights(self, window): | |
| 352 | deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] |
|
353 | deltaHeight = self.dataOut.heightList[1] - self.dataOut.heightList[0] | |
| 353 |
|
354 | |||
| 354 | if window == None: |
|
355 | if window == None: | |
| 355 | window = self.dataOut.radarControllerHeaderObj.txA / deltaHeight |
|
356 | window = self.dataOut.radarControllerHeaderObj.txA / deltaHeight | |
| 356 |
|
357 | |||
| 357 | newdelta = deltaHeight * window |
|
358 | newdelta = deltaHeight * window | |
| 358 | r = self.dataOut.data.shape[1] % window |
|
359 | r = self.dataOut.data.shape[1] % window | |
| 359 | buffer = self.dataOut.data[:,0:self.dataOut.data.shape[1]-r] |
|
360 | buffer = self.dataOut.data[:,0:self.dataOut.data.shape[1]-r] | |
| 360 | buffer = buffer.reshape(self.dataOut.data.shape[0],self.dataOut.data.shape[1]/window,window) |
|
361 | buffer = buffer.reshape(self.dataOut.data.shape[0],self.dataOut.data.shape[1]/window,window) | |
| 361 | buffer = numpy.average(buffer,2) |
|
362 | buffer = numpy.average(buffer,2) | |
| 362 | self.dataOut.data = buffer |
|
363 | self.dataOut.data = buffer | |
| 363 | self.dataOut.heightList = numpy.arange(self.dataOut.heightList[0],newdelta*self.dataOut.nHeights/window-newdelta,newdelta) |
|
364 | self.dataOut.heightList = numpy.arange(self.dataOut.heightList[0],newdelta*self.dataOut.nHeights/window-newdelta,newdelta) | |
| 364 |
|
365 | |||
|
|
366 | def deFlip(self): | |||
|
|
367 | self.dataOut.data *= self.flip | |||
|
|
368 | self.flip *= -1. | |||
| 365 |
|
369 | |||
| 366 |
|
370 | |||
| 367 | class CohInt(Operation): |
|
371 | class CohInt(Operation): | |
| 368 |
|
372 | |||
| 369 | __isConfig = False |
|
373 | __isConfig = False | |
| 370 |
|
374 | |||
| 371 | __profIndex = 0 |
|
375 | __profIndex = 0 | |
| 372 | __withOverapping = False |
|
376 | __withOverapping = False | |
| 373 |
|
377 | |||
| 374 | __byTime = False |
|
378 | __byTime = False | |
| 375 | __initime = None |
|
379 | __initime = None | |
| 376 | __lastdatatime = None |
|
380 | __lastdatatime = None | |
| 377 | __integrationtime = None |
|
381 | __integrationtime = None | |
| 378 |
|
382 | |||
| 379 | __buffer = None |
|
383 | __buffer = None | |
| 380 |
|
384 | |||
| 381 | __dataReady = False |
|
385 | __dataReady = False | |
| 382 |
|
386 | |||
| 383 | n = None |
|
387 | n = None | |
| 384 |
|
388 | |||
| 385 |
|
389 | |||
| 386 | def __init__(self): |
|
390 | def __init__(self): | |
| 387 |
|
391 | |||
| 388 | self.__isConfig = False |
|
392 | self.__isConfig = False | |
| 389 |
|
393 | |||
| 390 | def setup(self, n=None, timeInterval=None, overlapping=False): |
|
394 | def setup(self, n=None, timeInterval=None, overlapping=False): | |
| 391 | """ |
|
395 | """ | |
| 392 | Set the parameters of the integration class. |
|
396 | Set the parameters of the integration class. | |
| 393 |
|
397 | |||
| 394 | Inputs: |
|
398 | Inputs: | |
| 395 |
|
399 | |||
| 396 | n : Number of coherent integrations |
|
400 | n : Number of coherent integrations | |
| 397 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
401 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work | |
| 398 | overlapping : |
|
402 | overlapping : | |
| 399 |
|
403 | |||
| 400 | """ |
|
404 | """ | |
| 401 |
|
405 | |||
| 402 | self.__initime = None |
|
406 | self.__initime = None | |
| 403 | self.__lastdatatime = 0 |
|
407 | self.__lastdatatime = 0 | |
| 404 | self.__buffer = None |
|
408 | self.__buffer = None | |
| 405 | self.__dataReady = False |
|
409 | self.__dataReady = False | |
| 406 |
|
410 | |||
| 407 |
|
411 | |||
| 408 | if n == None and timeInterval == None: |
|
412 | if n == None and timeInterval == None: | |
| 409 | raise ValueError, "n or timeInterval should be specified ..." |
|
413 | raise ValueError, "n or timeInterval should be specified ..." | |
| 410 |
|
414 | |||
| 411 | if n != None: |
|
415 | if n != None: | |
| 412 | self.n = n |
|
416 | self.n = n | |
| 413 | self.__byTime = False |
|
417 | self.__byTime = False | |
| 414 | else: |
|
418 | else: | |
| 415 | self.__integrationtime = timeInterval * 60. #if (type(timeInterval)!=integer) -> change this line |
|
419 | self.__integrationtime = timeInterval * 60. #if (type(timeInterval)!=integer) -> change this line | |
| 416 | self.n = 9999 |
|
420 | self.n = 9999 | |
| 417 | self.__byTime = True |
|
421 | self.__byTime = True | |
| 418 |
|
422 | |||
| 419 | if overlapping: |
|
423 | if overlapping: | |
| 420 | self.__withOverapping = True |
|
424 | self.__withOverapping = True | |
| 421 | self.__buffer = None |
|
425 | self.__buffer = None | |
| 422 | else: |
|
426 | else: | |
| 423 | self.__withOverapping = False |
|
427 | self.__withOverapping = False | |
| 424 | self.__buffer = 0 |
|
428 | self.__buffer = 0 | |
| 425 |
|
429 | |||
| 426 | self.__profIndex = 0 |
|
430 | self.__profIndex = 0 | |
| 427 |
|
431 | |||
| 428 | def putData(self, data): |
|
432 | def putData(self, data): | |
| 429 |
|
433 | |||
| 430 | """ |
|
434 | """ | |
| 431 | Add a profile to the __buffer and increase in one the __profileIndex |
|
435 | Add a profile to the __buffer and increase in one the __profileIndex | |
| 432 |
|
436 | |||
| 433 | """ |
|
437 | """ | |
| 434 |
|
438 | |||
| 435 | if not self.__withOverapping: |
|
439 | if not self.__withOverapping: | |
| 436 | self.__buffer += data.copy() |
|
440 | self.__buffer += data.copy() | |
| 437 | self.__profIndex += 1 |
|
441 | self.__profIndex += 1 | |
| 438 | return |
|
442 | return | |
| 439 |
|
443 | |||
| 440 | #Overlapping data |
|
444 | #Overlapping data | |
| 441 | nChannels, nHeis = data.shape |
|
445 | nChannels, nHeis = data.shape | |
| 442 | data = numpy.reshape(data, (1, nChannels, nHeis)) |
|
446 | data = numpy.reshape(data, (1, nChannels, nHeis)) | |
| 443 |
|
447 | |||
| 444 | #If the buffer is empty then it takes the data value |
|
448 | #If the buffer is empty then it takes the data value | |
| 445 | if self.__buffer == None: |
|
449 | if self.__buffer == None: | |
| 446 | self.__buffer = data |
|
450 | self.__buffer = data | |
| 447 | self.__profIndex += 1 |
|
451 | self.__profIndex += 1 | |
| 448 | return |
|
452 | return | |
| 449 |
|
453 | |||
| 450 | #If the buffer length is lower than n then stakcing the data value |
|
454 | #If the buffer length is lower than n then stakcing the data value | |
| 451 | if self.__profIndex < self.n: |
|
455 | if self.__profIndex < self.n: | |
| 452 | self.__buffer = numpy.vstack((self.__buffer, data)) |
|
456 | self.__buffer = numpy.vstack((self.__buffer, data)) | |
| 453 | self.__profIndex += 1 |
|
457 | self.__profIndex += 1 | |
| 454 | return |
|
458 | return | |
| 455 |
|
459 | |||
| 456 | #If the buffer length is equal to n then replacing the last buffer value with the data value |
|
460 | #If the buffer length is equal to n then replacing the last buffer value with the data value | |
| 457 | self.__buffer = numpy.roll(self.__buffer, -1, axis=0) |
|
461 | self.__buffer = numpy.roll(self.__buffer, -1, axis=0) | |
| 458 | self.__buffer[self.n-1] = data |
|
462 | self.__buffer[self.n-1] = data | |
| 459 | self.__profIndex = self.n |
|
463 | self.__profIndex = self.n | |
| 460 | return |
|
464 | return | |
| 461 |
|
465 | |||
| 462 |
|
466 | |||
| 463 | def pushData(self): |
|
467 | def pushData(self): | |
| 464 | """ |
|
468 | """ | |
| 465 | Return the sum of the last profiles and the profiles used in the sum. |
|
469 | Return the sum of the last profiles and the profiles used in the sum. | |
| 466 |
|
470 | |||
| 467 | Affected: |
|
471 | Affected: | |
| 468 |
|
472 | |||
| 469 | self.__profileIndex |
|
473 | self.__profileIndex | |
| 470 |
|
474 | |||
| 471 | """ |
|
475 | """ | |
| 472 |
|
476 | |||
| 473 | if not self.__withOverapping: |
|
477 | if not self.__withOverapping: | |
| 474 | data = self.__buffer |
|
478 | data = self.__buffer | |
| 475 | n = self.__profIndex |
|
479 | n = self.__profIndex | |
| 476 |
|
480 | |||
| 477 | self.__buffer = 0 |
|
481 | self.__buffer = 0 | |
| 478 | self.__profIndex = 0 |
|
482 | self.__profIndex = 0 | |
| 479 |
|
483 | |||
| 480 | return data, n |
|
484 | return data, n | |
| 481 |
|
485 | |||
| 482 | #Integration with Overlapping |
|
486 | #Integration with Overlapping | |
| 483 | data = numpy.sum(self.__buffer, axis=0) |
|
487 | data = numpy.sum(self.__buffer, axis=0) | |
| 484 | n = self.__profIndex |
|
488 | n = self.__profIndex | |
| 485 |
|
489 | |||
| 486 | return data, n |
|
490 | return data, n | |
| 487 |
|
491 | |||
| 488 | def byProfiles(self, data): |
|
492 | def byProfiles(self, data): | |
| 489 |
|
493 | |||
| 490 | self.__dataReady = False |
|
494 | self.__dataReady = False | |
| 491 | avgdata = None |
|
495 | avgdata = None | |
| 492 | n = None |
|
496 | n = None | |
| 493 |
|
497 | |||
| 494 | self.putData(data) |
|
498 | self.putData(data) | |
| 495 |
|
499 | |||
| 496 | if self.__profIndex == self.n: |
|
500 | if self.__profIndex == self.n: | |
| 497 |
|
501 | |||
| 498 | avgdata, n = self.pushData() |
|
502 | avgdata, n = self.pushData() | |
| 499 | self.__dataReady = True |
|
503 | self.__dataReady = True | |
| 500 |
|
504 | |||
| 501 | return avgdata |
|
505 | return avgdata | |
| 502 |
|
506 | |||
| 503 | def byTime(self, data, datatime): |
|
507 | def byTime(self, data, datatime): | |
| 504 |
|
508 | |||
| 505 | self.__dataReady = False |
|
509 | self.__dataReady = False | |
| 506 | avgdata = None |
|
510 | avgdata = None | |
| 507 | n = None |
|
511 | n = None | |
| 508 |
|
512 | |||
| 509 | self.putData(data) |
|
513 | self.putData(data) | |
| 510 |
|
514 | |||
| 511 | if (datatime - self.__initime) >= self.__integrationtime: |
|
515 | if (datatime - self.__initime) >= self.__integrationtime: | |
| 512 | avgdata, n = self.pushData() |
|
516 | avgdata, n = self.pushData() | |
| 513 | self.n = n |
|
517 | self.n = n | |
| 514 | self.__dataReady = True |
|
518 | self.__dataReady = True | |
| 515 |
|
519 | |||
| 516 | return avgdata |
|
520 | return avgdata | |
| 517 |
|
521 | |||
| 518 | def integrate(self, data, datatime=None): |
|
522 | def integrate(self, data, datatime=None): | |
| 519 |
|
523 | |||
| 520 | if self.__initime == None: |
|
524 | if self.__initime == None: | |
| 521 | self.__initime = datatime |
|
525 | self.__initime = datatime | |
| 522 |
|
526 | |||
| 523 | if self.__byTime: |
|
527 | if self.__byTime: | |
| 524 | avgdata = self.byTime(data, datatime) |
|
528 | avgdata = self.byTime(data, datatime) | |
| 525 | else: |
|
529 | else: | |
| 526 | avgdata = self.byProfiles(data) |
|
530 | avgdata = self.byProfiles(data) | |
| 527 |
|
531 | |||
| 528 |
|
532 | |||
| 529 | self.__lastdatatime = datatime |
|
533 | self.__lastdatatime = datatime | |
| 530 |
|
534 | |||
| 531 | if avgdata == None: |
|
535 | if avgdata == None: | |
| 532 | return None, None |
|
536 | return None, None | |
| 533 |
|
537 | |||
| 534 | avgdatatime = self.__initime |
|
538 | avgdatatime = self.__initime | |
| 535 |
|
539 | |||
| 536 | deltatime = datatime -self.__lastdatatime |
|
540 | deltatime = datatime -self.__lastdatatime | |
| 537 |
|
541 | |||
| 538 | if not self.__withOverapping: |
|
542 | if not self.__withOverapping: | |
| 539 | self.__initime = datatime |
|
543 | self.__initime = datatime | |
| 540 | else: |
|
544 | else: | |
| 541 | self.__initime += deltatime |
|
545 | self.__initime += deltatime | |
| 542 |
|
546 | |||
| 543 | return avgdata, avgdatatime |
|
547 | return avgdata, avgdatatime | |
| 544 |
|
548 | |||
| 545 | def run(self, dataOut, **kwargs): |
|
549 | def run(self, dataOut, **kwargs): | |
| 546 |
|
550 | |||
| 547 | if not self.__isConfig: |
|
551 | if not self.__isConfig: | |
| 548 | self.setup(**kwargs) |
|
552 | self.setup(**kwargs) | |
| 549 | self.__isConfig = True |
|
553 | self.__isConfig = True | |
| 550 |
|
554 | |||
| 551 | avgdata, avgdatatime = self.integrate(dataOut.data, dataOut.utctime) |
|
555 | avgdata, avgdatatime = self.integrate(dataOut.data, dataOut.utctime) | |
| 552 |
|
556 | |||
| 553 | # dataOut.timeInterval *= n |
|
557 | # dataOut.timeInterval *= n | |
| 554 | dataOut.flagNoData = True |
|
558 | dataOut.flagNoData = True | |
| 555 |
|
559 | |||
| 556 | if self.__dataReady: |
|
560 | if self.__dataReady: | |
| 557 | dataOut.data = avgdata |
|
561 | dataOut.data = avgdata | |
| 558 | dataOut.nCohInt *= self.n |
|
562 | dataOut.nCohInt *= self.n | |
| 559 | dataOut.utctime = avgdatatime |
|
563 | dataOut.utctime = avgdatatime | |
| 560 | dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt |
|
564 | dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt | |
| 561 | dataOut.flagNoData = False |
|
565 | dataOut.flagNoData = False | |
| 562 |
|
566 | |||
| 563 |
|
567 | |||
| 564 | class Decoder(Operation): |
|
568 | class Decoder(Operation): | |
| 565 |
|
569 | |||
| 566 | __isConfig = False |
|
570 | __isConfig = False | |
| 567 | __profIndex = 0 |
|
571 | __profIndex = 0 | |
| 568 |
|
572 | |||
| 569 | code = None |
|
573 | code = None | |
| 570 |
|
574 | |||
| 571 | nCode = None |
|
575 | nCode = None | |
| 572 | nBaud = None |
|
576 | nBaud = None | |
| 573 |
|
577 | |||
| 574 | def __init__(self): |
|
578 | def __init__(self): | |
| 575 |
|
579 | |||
| 576 | self.__isConfig = False |
|
580 | self.__isConfig = False | |
| 577 |
|
581 | |||
| 578 | def setup(self, code): |
|
582 | def setup(self, code): | |
| 579 |
|
583 | |||
| 580 | self.__profIndex = 0 |
|
584 | self.__profIndex = 0 | |
| 581 |
|
585 | |||
| 582 | self.code = code |
|
586 | self.code = code | |
| 583 |
|
587 | |||
| 584 | self.nCode = len(code) |
|
588 | self.nCode = len(code) | |
| 585 | self.nBaud = len(code[0]) |
|
589 | self.nBaud = len(code[0]) | |
| 586 |
|
590 | |||
| 587 | def convolutionInFreq(self, data): |
|
591 | def convolutionInFreq(self, data): | |
| 588 |
|
592 | |||
| 589 | nchannel, ndata = data.shape |
|
593 | nchannel, ndata = data.shape | |
| 590 | newcode = numpy.zeros(ndata) |
|
594 | newcode = numpy.zeros(ndata) | |
| 591 | newcode[0:self.nBaud] = self.code[self.__profIndex] |
|
595 | newcode[0:self.nBaud] = self.code[self.__profIndex] | |
| 592 |
|
596 | |||
| 593 | fft_data = numpy.fft.fft(data, axis=1) |
|
597 | fft_data = numpy.fft.fft(data, axis=1) | |
| 594 | fft_code = numpy.conj(numpy.fft.fft(newcode)) |
|
598 | fft_code = numpy.conj(numpy.fft.fft(newcode)) | |
| 595 | fft_code = fft_code.reshape(1,len(fft_code)) |
|
599 | fft_code = fft_code.reshape(1,len(fft_code)) | |
| 596 |
|
600 | |||
| 597 | # conv = fft_data.copy() |
|
601 | # conv = fft_data.copy() | |
| 598 | # conv.fill(0) |
|
602 | # conv.fill(0) | |
| 599 |
|
603 | |||
| 600 | conv = fft_data*fft_code |
|
604 | conv = fft_data*fft_code | |
| 601 |
|
605 | |||
| 602 | data = numpy.fft.ifft(conv,axis=1) |
|
606 | data = numpy.fft.ifft(conv,axis=1) | |
| 603 |
|
607 | |||
| 604 | datadec = data[:,:-self.nBaud+1] |
|
608 | datadec = data[:,:-self.nBaud+1] | |
| 605 | ndatadec = ndata - self.nBaud + 1 |
|
609 | ndatadec = ndata - self.nBaud + 1 | |
| 606 |
|
610 | |||
| 607 | if self.__profIndex == self.nCode-1: |
|
611 | if self.__profIndex == self.nCode-1: | |
| 608 | self.__profIndex = 0 |
|
612 | self.__profIndex = 0 | |
| 609 | return ndatadec, datadec |
|
613 | return ndatadec, datadec | |
| 610 |
|
614 | |||
| 611 | self.__profIndex += 1 |
|
615 | self.__profIndex += 1 | |
| 612 |
|
616 | |||
| 613 | return ndatadec, datadec |
|
617 | return ndatadec, datadec | |
| 614 |
|
618 | |||
| 615 |
|
619 | |||
| 616 | def convolutionInTime(self, data): |
|
620 | def convolutionInTime(self, data): | |
| 617 |
|
621 | |||
| 618 | nchannel, ndata = data.shape |
|
622 | nchannel, ndata = data.shape | |
| 619 | newcode = self.code[self.__profIndex] |
|
623 | newcode = self.code[self.__profIndex] | |
| 620 | ndatadec = ndata - self.nBaud + 1 |
|
624 | ndatadec = ndata - self.nBaud + 1 | |
| 621 |
|
625 | |||
| 622 | datadec = numpy.zeros((nchannel, ndatadec)) |
|
626 | datadec = numpy.zeros((nchannel, ndatadec)) | |
| 623 |
|
627 | |||
| 624 | for i in range(nchannel): |
|
628 | for i in range(nchannel): | |
| 625 | datadec[i,:] = numpy.correlate(data[i,:], newcode) |
|
629 | datadec[i,:] = numpy.correlate(data[i,:], newcode) | |
| 626 |
|
630 | |||
| 627 | if self.__profIndex == self.nCode-1: |
|
631 | if self.__profIndex == self.nCode-1: | |
| 628 | self.__profIndex = 0 |
|
632 | self.__profIndex = 0 | |
| 629 | return ndatadec, datadec |
|
633 | return ndatadec, datadec | |
| 630 |
|
634 | |||
| 631 | self.__profIndex += 1 |
|
635 | self.__profIndex += 1 | |
| 632 |
|
636 | |||
| 633 | return ndatadec, datadec |
|
637 | return ndatadec, datadec | |
| 634 |
|
638 | |||
| 635 | def run(self, dataOut, code=None, mode = 0): |
|
639 | def run(self, dataOut, code=None, mode = 0): | |
| 636 |
|
640 | |||
| 637 | if not self.__isConfig: |
|
641 | if not self.__isConfig: | |
| 638 |
|
642 | |||
| 639 | if code == None: |
|
643 | if code == None: | |
| 640 | code = dataOut.code |
|
644 | code = dataOut.code | |
| 641 |
|
645 | |||
| 642 | self.setup(code) |
|
646 | self.setup(code) | |
| 643 | self.__isConfig = True |
|
647 | self.__isConfig = True | |
| 644 |
|
648 | |||
| 645 | if mode == 0: |
|
649 | if mode == 0: | |
| 646 | ndatadec, datadec = self.convolutionInFreq(dataOut.data) |
|
650 | ndatadec, datadec = self.convolutionInFreq(dataOut.data) | |
| 647 |
|
651 | |||
| 648 | if mode == 1: |
|
652 | if mode == 1: | |
| 649 | print "This function is not implemented" |
|
653 | print "This function is not implemented" | |
| 650 | # ndatadec, datadec = self.convolutionInTime(dataOut.data) |
|
654 | # ndatadec, datadec = self.convolutionInTime(dataOut.data) | |
| 651 |
|
655 | |||
| 652 | dataOut.data = datadec |
|
656 | dataOut.data = datadec | |
| 653 |
|
657 | |||
| 654 | dataOut.heightList = dataOut.heightList[0:ndatadec] |
|
658 | dataOut.heightList = dataOut.heightList[0:ndatadec] | |
| 655 |
|
659 | |||
| 656 | dataOut.flagDecodeData = True #asumo q la data no esta decodificada |
|
660 | dataOut.flagDecodeData = True #asumo q la data no esta decodificada | |
| 657 |
|
661 | |||
| 658 | # dataOut.flagDeflipData = True #asumo q la data no esta sin flip |
|
662 | # dataOut.flagDeflipData = True #asumo q la data no esta sin flip | |
| 659 |
|
663 | |||
| 660 |
|
664 | |||
| 661 | class SpectraProc(ProcessingUnit): |
|
665 | class SpectraProc(ProcessingUnit): | |
| 662 |
|
666 | |||
| 663 | def __init__(self): |
|
667 | def __init__(self): | |
| 664 |
|
668 | |||
| 665 | self.objectDict = {} |
|
669 | self.objectDict = {} | |
| 666 | self.buffer = None |
|
670 | self.buffer = None | |
| 667 | self.firstdatatime = None |
|
671 | self.firstdatatime = None | |
| 668 | self.profIndex = 0 |
|
672 | self.profIndex = 0 | |
| 669 | self.dataOut = Spectra() |
|
673 | self.dataOut = Spectra() | |
| 670 |
|
674 | |||
| 671 | def __updateObjFromInput(self): |
|
675 | def __updateObjFromInput(self): | |
| 672 |
|
676 | |||
| 673 | self.dataOut.radarControllerHeaderObj = self.dataIn.radarControllerHeaderObj.copy() |
|
677 | self.dataOut.radarControllerHeaderObj = self.dataIn.radarControllerHeaderObj.copy() | |
| 674 | self.dataOut.systemHeaderObj = self.dataIn.systemHeaderObj.copy() |
|
678 | self.dataOut.systemHeaderObj = self.dataIn.systemHeaderObj.copy() | |
| 675 | self.dataOut.channelList = self.dataIn.channelList |
|
679 | self.dataOut.channelList = self.dataIn.channelList | |
| 676 | self.dataOut.heightList = self.dataIn.heightList |
|
680 | self.dataOut.heightList = self.dataIn.heightList | |
| 677 | self.dataOut.dtype = self.dataIn.dtype |
|
681 | self.dataOut.dtype = self.dataIn.dtype | |
| 678 | # self.dataOut.nHeights = self.dataIn.nHeights |
|
682 | # self.dataOut.nHeights = self.dataIn.nHeights | |
| 679 | # self.dataOut.nChannels = self.dataIn.nChannels |
|
683 | # self.dataOut.nChannels = self.dataIn.nChannels | |
| 680 | self.dataOut.nBaud = self.dataIn.nBaud |
|
684 | self.dataOut.nBaud = self.dataIn.nBaud | |
| 681 | self.dataOut.nCode = self.dataIn.nCode |
|
685 | self.dataOut.nCode = self.dataIn.nCode | |
| 682 | self.dataOut.code = self.dataIn.code |
|
686 | self.dataOut.code = self.dataIn.code | |
| 683 | self.dataOut.nProfiles = self.dataOut.nFFTPoints |
|
687 | self.dataOut.nProfiles = self.dataOut.nFFTPoints | |
| 684 | # self.dataOut.channelIndexList = self.dataIn.channelIndexList |
|
688 | # self.dataOut.channelIndexList = self.dataIn.channelIndexList | |
| 685 | self.dataOut.flagTimeBlock = self.dataIn.flagTimeBlock |
|
689 | self.dataOut.flagTimeBlock = self.dataIn.flagTimeBlock | |
| 686 | self.dataOut.utctime = self.firstdatatime |
|
690 | self.dataOut.utctime = self.firstdatatime | |
| 687 | self.dataOut.flagDecodeData = self.dataIn.flagDecodeData #asumo q la data esta decodificada |
|
691 | self.dataOut.flagDecodeData = self.dataIn.flagDecodeData #asumo q la data esta decodificada | |
| 688 | self.dataOut.flagDeflipData = self.dataIn.flagDeflipData #asumo q la data esta sin flip |
|
692 | self.dataOut.flagDeflipData = self.dataIn.flagDeflipData #asumo q la data esta sin flip | |
| 689 | self.dataOut.flagShiftFFT = self.dataIn.flagShiftFFT |
|
693 | self.dataOut.flagShiftFFT = self.dataIn.flagShiftFFT | |
| 690 | self.dataOut.nCohInt = self.dataIn.nCohInt |
|
694 | self.dataOut.nCohInt = self.dataIn.nCohInt | |
| 691 | self.dataOut.nIncohInt = 1 |
|
695 | self.dataOut.nIncohInt = 1 | |
| 692 | self.dataOut.ippSeconds = self.dataIn.ippSeconds |
|
696 | self.dataOut.ippSeconds = self.dataIn.ippSeconds | |
| 693 |
|
697 | |||
| 694 | self.dataOut.timeInterval = self.dataIn.timeInterval*self.dataOut.nFFTPoints*self.dataOut.nIncohInt |
|
698 | self.dataOut.timeInterval = self.dataIn.timeInterval*self.dataOut.nFFTPoints*self.dataOut.nIncohInt | |
| 695 |
|
699 | |||
| 696 | def __getFft(self): |
|
700 | def __getFft(self): | |
| 697 | """ |
|
701 | """ | |
| 698 | Convierte valores de Voltaje a Spectra |
|
702 | Convierte valores de Voltaje a Spectra | |
| 699 |
|
703 | |||
| 700 | Affected: |
|
704 | Affected: | |
| 701 | self.dataOut.data_spc |
|
705 | self.dataOut.data_spc | |
| 702 | self.dataOut.data_cspc |
|
706 | self.dataOut.data_cspc | |
| 703 | self.dataOut.data_dc |
|
707 | self.dataOut.data_dc | |
| 704 | self.dataOut.heightList |
|
708 | self.dataOut.heightList | |
| 705 | self.profIndex |
|
709 | self.profIndex | |
| 706 | self.buffer |
|
710 | self.buffer | |
| 707 | self.dataOut.flagNoData |
|
711 | self.dataOut.flagNoData | |
| 708 | """ |
|
712 | """ | |
| 709 | fft_volt = numpy.fft.fft(self.buffer,axis=1) |
|
713 | fft_volt = numpy.fft.fft(self.buffer,axis=1) | |
| 710 | dc = fft_volt[:,0,:] |
|
714 | dc = fft_volt[:,0,:] | |
| 711 |
|
715 | |||
| 712 | #calculo de self-spectra |
|
716 | #calculo de self-spectra | |
| 713 | fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,)) |
|
717 | fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,)) | |
| 714 | spc = fft_volt * numpy.conjugate(fft_volt) |
|
718 | spc = fft_volt * numpy.conjugate(fft_volt) | |
| 715 | spc = spc.real |
|
719 | spc = spc.real | |
| 716 |
|
720 | |||
| 717 | blocksize = 0 |
|
721 | blocksize = 0 | |
| 718 | blocksize += dc.size |
|
722 | blocksize += dc.size | |
| 719 | blocksize += spc.size |
|
723 | blocksize += spc.size | |
| 720 |
|
724 | |||
| 721 | cspc = None |
|
725 | cspc = None | |
| 722 | pairIndex = 0 |
|
726 | pairIndex = 0 | |
| 723 | if self.dataOut.pairsList != None: |
|
727 | if self.dataOut.pairsList != None: | |
| 724 | #calculo de cross-spectra |
|
728 | #calculo de cross-spectra | |
| 725 | cspc = numpy.zeros((self.dataOut.nPairs, self.dataOut.nFFTPoints, self.dataOut.nHeights), dtype='complex') |
|
729 | cspc = numpy.zeros((self.dataOut.nPairs, self.dataOut.nFFTPoints, self.dataOut.nHeights), dtype='complex') | |
| 726 | for pair in self.dataOut.pairsList: |
|
730 | for pair in self.dataOut.pairsList: | |
| 727 | cspc[pairIndex,:,:] = fft_volt[pair[0],:,:] * numpy.conjugate(fft_volt[pair[1],:,:]) |
|
731 | cspc[pairIndex,:,:] = fft_volt[pair[0],:,:] * numpy.conjugate(fft_volt[pair[1],:,:]) | |
| 728 | pairIndex += 1 |
|
732 | pairIndex += 1 | |
| 729 | blocksize += cspc.size |
|
733 | blocksize += cspc.size | |
| 730 |
|
734 | |||
| 731 | self.dataOut.data_spc = spc |
|
735 | self.dataOut.data_spc = spc | |
| 732 | self.dataOut.data_cspc = cspc |
|
736 | self.dataOut.data_cspc = cspc | |
| 733 | self.dataOut.data_dc = dc |
|
737 | self.dataOut.data_dc = dc | |
| 734 | self.dataOut.blockSize = blocksize |
|
738 | self.dataOut.blockSize = blocksize | |
| 735 |
|
739 | |||
| 736 | def init(self, nFFTPoints=None, pairsList=None): |
|
740 | def init(self, nFFTPoints=None, pairsList=None): | |
| 737 |
|
741 | |||
| 738 | self.dataOut.flagNoData = True |
|
742 | self.dataOut.flagNoData = True | |
| 739 |
|
743 | |||
| 740 | if self.dataIn.type == "Spectra": |
|
744 | if self.dataIn.type == "Spectra": | |
| 741 | self.dataOut.copy(self.dataIn) |
|
745 | self.dataOut.copy(self.dataIn) | |
| 742 | return |
|
746 | return | |
| 743 |
|
747 | |||
| 744 | if self.dataIn.type == "Voltage": |
|
748 | if self.dataIn.type == "Voltage": | |
| 745 |
|
749 | |||
| 746 | if nFFTPoints == None: |
|
750 | if nFFTPoints == None: | |
| 747 | raise ValueError, "This SpectraProc.init() need nFFTPoints input variable" |
|
751 | raise ValueError, "This SpectraProc.init() need nFFTPoints input variable" | |
| 748 |
|
752 | |||
| 749 | if pairsList == None: |
|
753 | if pairsList == None: | |
| 750 | nPairs = 0 |
|
754 | nPairs = 0 | |
| 751 | else: |
|
755 | else: | |
| 752 | nPairs = len(pairsList) |
|
756 | nPairs = len(pairsList) | |
| 753 |
|
757 | |||
| 754 | self.dataOut.nFFTPoints = nFFTPoints |
|
758 | self.dataOut.nFFTPoints = nFFTPoints | |
| 755 | self.dataOut.pairsList = pairsList |
|
759 | self.dataOut.pairsList = pairsList | |
| 756 | self.dataOut.nPairs = nPairs |
|
760 | self.dataOut.nPairs = nPairs | |
| 757 |
|
761 | |||
| 758 | if self.buffer == None: |
|
762 | if self.buffer == None: | |
| 759 | self.buffer = numpy.zeros((self.dataIn.nChannels, |
|
763 | self.buffer = numpy.zeros((self.dataIn.nChannels, | |
| 760 | self.dataOut.nFFTPoints, |
|
764 | self.dataOut.nFFTPoints, | |
| 761 | self.dataIn.nHeights), |
|
765 | self.dataIn.nHeights), | |
| 762 | dtype='complex') |
|
766 | dtype='complex') | |
| 763 |
|
767 | |||
| 764 |
|
768 | |||
| 765 | self.buffer[:,self.profIndex,:] = self.dataIn.data.copy() |
|
769 | self.buffer[:,self.profIndex,:] = self.dataIn.data.copy() | |
| 766 | self.profIndex += 1 |
|
770 | self.profIndex += 1 | |
| 767 |
|
771 | |||
| 768 | if self.firstdatatime == None: |
|
772 | if self.firstdatatime == None: | |
| 769 | self.firstdatatime = self.dataIn.utctime |
|
773 | self.firstdatatime = self.dataIn.utctime | |
| 770 |
|
774 | |||
| 771 | if self.profIndex == self.dataOut.nFFTPoints: |
|
775 | if self.profIndex == self.dataOut.nFFTPoints: | |
| 772 | self.__updateObjFromInput() |
|
776 | self.__updateObjFromInput() | |
| 773 | self.__getFft() |
|
777 | self.__getFft() | |
| 774 |
|
778 | |||
| 775 | self.dataOut.flagNoData = False |
|
779 | self.dataOut.flagNoData = False | |
| 776 |
|
780 | |||
| 777 | self.buffer = None |
|
781 | self.buffer = None | |
| 778 | self.firstdatatime = None |
|
782 | self.firstdatatime = None | |
| 779 | self.profIndex = 0 |
|
783 | self.profIndex = 0 | |
| 780 |
|
784 | |||
| 781 | return |
|
785 | return | |
| 782 |
|
786 | |||
| 783 | raise ValuError, "The type object %s is not valid"%(self.dataIn.type) |
|
787 | raise ValuError, "The type object %s is not valid"%(self.dataIn.type) | |
| 784 |
|
788 | |||
| 785 | def selectChannels(self, channelList): |
|
789 | def selectChannels(self, channelList): | |
| 786 |
|
790 | |||
| 787 | channelIndexList = [] |
|
791 | channelIndexList = [] | |
| 788 |
|
792 | |||
| 789 | for channel in channelList: |
|
793 | for channel in channelList: | |
| 790 | index = self.dataOut.channelList.index(channel) |
|
794 | index = self.dataOut.channelList.index(channel) | |
| 791 | channelIndexList.append(index) |
|
795 | channelIndexList.append(index) | |
| 792 |
|
796 | |||
| 793 | self.selectChannelsByIndex(channelIndexList) |
|
797 | self.selectChannelsByIndex(channelIndexList) | |
| 794 |
|
798 | |||
| 795 | def selectChannelsByIndex(self, channelIndexList): |
|
799 | def selectChannelsByIndex(self, channelIndexList): | |
| 796 | """ |
|
800 | """ | |
| 797 | Selecciona un bloque de datos en base a canales segun el channelIndexList |
|
801 | Selecciona un bloque de datos en base a canales segun el channelIndexList | |
| 798 |
|
802 | |||
| 799 | Input: |
|
803 | Input: | |
| 800 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] |
|
804 | channelIndexList : lista sencilla de canales a seleccionar por ej. [2,3,7] | |
| 801 |
|
805 | |||
| 802 | Affected: |
|
806 | Affected: | |
| 803 | self.dataOut.data_spc |
|
807 | self.dataOut.data_spc | |
| 804 | self.dataOut.channelIndexList |
|
808 | self.dataOut.channelIndexList | |
| 805 | self.dataOut.nChannels |
|
809 | self.dataOut.nChannels | |
| 806 |
|
810 | |||
| 807 | Return: |
|
811 | Return: | |
| 808 | None |
|
812 | None | |
| 809 | """ |
|
813 | """ | |
| 810 |
|
814 | |||
| 811 | for channelIndex in channelIndexList: |
|
815 | for channelIndex in channelIndexList: | |
| 812 | if channelIndex not in self.dataOut.channelIndexList: |
|
816 | if channelIndex not in self.dataOut.channelIndexList: | |
| 813 | print channelIndexList |
|
817 | print channelIndexList | |
| 814 | raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex |
|
818 | raise ValueError, "The value %d in channelIndexList is not valid" %channelIndex | |
| 815 |
|
819 | |||
| 816 | nChannels = len(channelIndexList) |
|
820 | nChannels = len(channelIndexList) | |
| 817 |
|
821 | |||
| 818 | data_spc = self.dataOut.data_spc[channelIndexList,:] |
|
822 | data_spc = self.dataOut.data_spc[channelIndexList,:] | |
| 819 |
|
823 | |||
| 820 | self.dataOut.data_spc = data_spc |
|
824 | self.dataOut.data_spc = data_spc | |
| 821 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] |
|
825 | self.dataOut.channelList = [self.dataOut.channelList[i] for i in channelIndexList] | |
| 822 | # self.dataOut.nChannels = nChannels |
|
826 | # self.dataOut.nChannels = nChannels | |
| 823 |
|
827 | |||
| 824 | return 1 |
|
828 | return 1 | |
| 825 |
|
829 | |||
| 826 |
|
830 | |||
| 827 | class IncohInt(Operation): |
|
831 | class IncohInt(Operation): | |
| 828 |
|
832 | |||
| 829 |
|
833 | |||
| 830 | __profIndex = 0 |
|
834 | __profIndex = 0 | |
| 831 | __withOverapping = False |
|
835 | __withOverapping = False | |
| 832 |
|
836 | |||
| 833 | __byTime = False |
|
837 | __byTime = False | |
| 834 | __initime = None |
|
838 | __initime = None | |
| 835 | __lastdatatime = None |
|
839 | __lastdatatime = None | |
| 836 | __integrationtime = None |
|
840 | __integrationtime = None | |
| 837 |
|
841 | |||
| 838 | __buffer_spc = None |
|
842 | __buffer_spc = None | |
| 839 | __buffer_cspc = None |
|
843 | __buffer_cspc = None | |
| 840 | __buffer_dc = None |
|
844 | __buffer_dc = None | |
| 841 |
|
845 | |||
| 842 | __dataReady = False |
|
846 | __dataReady = False | |
| 843 |
|
847 | |||
| 844 | n = None |
|
848 | n = None | |
| 845 |
|
849 | |||
| 846 |
|
850 | |||
| 847 | def __init__(self): |
|
851 | def __init__(self): | |
| 848 |
|
852 | |||
| 849 | self.__isConfig = False |
|
853 | self.__isConfig = False | |
| 850 |
|
854 | |||
| 851 | def setup(self, n=None, timeInterval=None, overlapping=False): |
|
855 | def setup(self, n=None, timeInterval=None, overlapping=False): | |
| 852 | """ |
|
856 | """ | |
| 853 | Set the parameters of the integration class. |
|
857 | Set the parameters of the integration class. | |
| 854 |
|
858 | |||
| 855 | Inputs: |
|
859 | Inputs: | |
| 856 |
|
860 | |||
| 857 | n : Number of coherent integrations |
|
861 | n : Number of coherent integrations | |
| 858 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work |
|
862 | timeInterval : Time of integration. If the parameter "n" is selected this one does not work | |
| 859 | overlapping : |
|
863 | overlapping : | |
| 860 |
|
864 | |||
| 861 | """ |
|
865 | """ | |
| 862 |
|
866 | |||
| 863 | self.__initime = None |
|
867 | self.__initime = None | |
| 864 | self.__lastdatatime = 0 |
|
868 | self.__lastdatatime = 0 | |
| 865 | self.__buffer_spc = None |
|
869 | self.__buffer_spc = None | |
| 866 | self.__buffer_cspc = None |
|
870 | self.__buffer_cspc = None | |
| 867 | self.__buffer_dc = None |
|
871 | self.__buffer_dc = None | |
| 868 | self.__dataReady = False |
|
872 | self.__dataReady = False | |
| 869 |
|
873 | |||
| 870 |
|
874 | |||
| 871 | if n == None and timeInterval == None: |
|
875 | if n == None and timeInterval == None: | |
| 872 | raise ValueError, "n or timeInterval should be specified ..." |
|
876 | raise ValueError, "n or timeInterval should be specified ..." | |
| 873 |
|
877 | |||
| 874 | if n != None: |
|
878 | if n != None: | |
| 875 | self.n = n |
|
879 | self.n = n | |
| 876 | self.__byTime = False |
|
880 | self.__byTime = False | |
| 877 | else: |
|
881 | else: | |
| 878 | self.__integrationtime = timeInterval * 60. #if (type(timeInterval)!=integer) -> change this line |
|
882 | self.__integrationtime = timeInterval * 60. #if (type(timeInterval)!=integer) -> change this line | |
| 879 | self.n = 9999 |
|
883 | self.n = 9999 | |
| 880 | self.__byTime = True |
|
884 | self.__byTime = True | |
| 881 |
|
885 | |||
| 882 | if overlapping: |
|
886 | if overlapping: | |
| 883 | self.__withOverapping = True |
|
887 | self.__withOverapping = True | |
| 884 | else: |
|
888 | else: | |
| 885 | self.__withOverapping = False |
|
889 | self.__withOverapping = False | |
| 886 | self.__buffer_spc = 0 |
|
890 | self.__buffer_spc = 0 | |
| 887 | self.__buffer_cspc = 0 |
|
891 | self.__buffer_cspc = 0 | |
| 888 | self.__buffer_dc = 0 |
|
892 | self.__buffer_dc = 0 | |
| 889 |
|
893 | |||
| 890 | self.__profIndex = 0 |
|
894 | self.__profIndex = 0 | |
| 891 |
|
895 | |||
| 892 | def putData(self, data_spc, data_cspc, data_dc): |
|
896 | def putData(self, data_spc, data_cspc, data_dc): | |
| 893 |
|
897 | |||
| 894 | """ |
|
898 | """ | |
| 895 | Add a profile to the __buffer_spc and increase in one the __profileIndex |
|
899 | Add a profile to the __buffer_spc and increase in one the __profileIndex | |
| 896 |
|
900 | |||
| 897 | """ |
|
901 | """ | |
| 898 |
|
902 | |||
| 899 | if not self.__withOverapping: |
|
903 | if not self.__withOverapping: | |
| 900 | self.__buffer_spc += data_spc |
|
904 | self.__buffer_spc += data_spc | |
| 901 |
|
905 | |||
| 902 | if data_cspc == None: |
|
906 | if data_cspc == None: | |
| 903 | self.__buffer_cspc = None |
|
907 | self.__buffer_cspc = None | |
| 904 | else: |
|
908 | else: | |
| 905 | self.__buffer_cspc += data_cspc |
|
909 | self.__buffer_cspc += data_cspc | |
| 906 |
|
910 | |||
| 907 | if data_dc == None: |
|
911 | if data_dc == None: | |
| 908 | self.__buffer_dc = None |
|
912 | self.__buffer_dc = None | |
| 909 | else: |
|
913 | else: | |
| 910 | self.__buffer_dc += data_dc |
|
914 | self.__buffer_dc += data_dc | |
| 911 |
|
915 | |||
| 912 | self.__profIndex += 1 |
|
916 | self.__profIndex += 1 | |
| 913 | return |
|
917 | return | |
| 914 |
|
918 | |||
| 915 | #Overlapping data |
|
919 | #Overlapping data | |
| 916 | nChannels, nFFTPoints, nHeis = data_spc.shape |
|
920 | nChannels, nFFTPoints, nHeis = data_spc.shape | |
| 917 | data_spc = numpy.reshape(data_spc, (1, nChannels, nFFTPoints, nHeis)) |
|
921 | data_spc = numpy.reshape(data_spc, (1, nChannels, nFFTPoints, nHeis)) | |
| 918 | if data_cspc != None: |
|
922 | if data_cspc != None: | |
| 919 | data_cspc = numpy.reshape(data_cspc, (1, -1, nFFTPoints, nHeis)) |
|
923 | data_cspc = numpy.reshape(data_cspc, (1, -1, nFFTPoints, nHeis)) | |
| 920 | if data_dc != None: |
|
924 | if data_dc != None: | |
| 921 | data_dc = numpy.reshape(data_dc, (1, -1, nHeis)) |
|
925 | data_dc = numpy.reshape(data_dc, (1, -1, nHeis)) | |
| 922 |
|
926 | |||
| 923 | #If the buffer is empty then it takes the data value |
|
927 | #If the buffer is empty then it takes the data value | |
| 924 | if self.__buffer_spc == None: |
|
928 | if self.__buffer_spc == None: | |
| 925 | self.__buffer_spc = data_spc |
|
929 | self.__buffer_spc = data_spc | |
| 926 |
|
930 | |||
| 927 | if data_cspc == None: |
|
931 | if data_cspc == None: | |
| 928 | self.__buffer_cspc = None |
|
932 | self.__buffer_cspc = None | |
| 929 | else: |
|
933 | else: | |
| 930 | self.__buffer_cspc += data_cspc |
|
934 | self.__buffer_cspc += data_cspc | |
| 931 |
|
935 | |||
| 932 | if data_dc == None: |
|
936 | if data_dc == None: | |
| 933 | self.__buffer_dc = None |
|
937 | self.__buffer_dc = None | |
| 934 | else: |
|
938 | else: | |
| 935 | self.__buffer_dc += data_dc |
|
939 | self.__buffer_dc += data_dc | |
| 936 |
|
940 | |||
| 937 | self.__profIndex += 1 |
|
941 | self.__profIndex += 1 | |
| 938 | return |
|
942 | return | |
| 939 |
|
943 | |||
| 940 | #If the buffer length is lower than n then stakcing the data value |
|
944 | #If the buffer length is lower than n then stakcing the data value | |
| 941 | if self.__profIndex < self.n: |
|
945 | if self.__profIndex < self.n: | |
| 942 | self.__buffer_spc = numpy.vstack((self.__buffer_spc, data_spc)) |
|
946 | self.__buffer_spc = numpy.vstack((self.__buffer_spc, data_spc)) | |
| 943 |
|
947 | |||
| 944 | if data_cspc != None: |
|
948 | if data_cspc != None: | |
| 945 | self.__buffer_cspc = numpy.vstack((self.__buffer_cspc, data_cspc)) |
|
949 | self.__buffer_cspc = numpy.vstack((self.__buffer_cspc, data_cspc)) | |
| 946 |
|
950 | |||
| 947 | if data_dc != None: |
|
951 | if data_dc != None: | |
| 948 | self.__buffer_dc = numpy.vstack((self.__buffer_dc, data_dc)) |
|
952 | self.__buffer_dc = numpy.vstack((self.__buffer_dc, data_dc)) | |
| 949 |
|
953 | |||
| 950 | self.__profIndex += 1 |
|
954 | self.__profIndex += 1 | |
| 951 | return |
|
955 | return | |
| 952 |
|
956 | |||
| 953 | #If the buffer length is equal to n then replacing the last buffer value with the data value |
|
957 | #If the buffer length is equal to n then replacing the last buffer value with the data value | |
| 954 | self.__buffer_spc = numpy.roll(self.__buffer_spc, -1, axis=0) |
|
958 | self.__buffer_spc = numpy.roll(self.__buffer_spc, -1, axis=0) | |
| 955 | self.__buffer_spc[self.n-1] = data_spc |
|
959 | self.__buffer_spc[self.n-1] = data_spc | |
| 956 |
|
960 | |||
| 957 | if data_cspc != None: |
|
961 | if data_cspc != None: | |
| 958 | self.__buffer_cspc = numpy.roll(self.__buffer_cspc, -1, axis=0) |
|
962 | self.__buffer_cspc = numpy.roll(self.__buffer_cspc, -1, axis=0) | |
| 959 | self.__buffer_cspc[self.n-1] = data_cspc |
|
963 | self.__buffer_cspc[self.n-1] = data_cspc | |
| 960 |
|
964 | |||
| 961 | if data_dc != None: |
|
965 | if data_dc != None: | |
| 962 | self.__buffer_dc = numpy.roll(self.__buffer_dc, -1, axis=0) |
|
966 | self.__buffer_dc = numpy.roll(self.__buffer_dc, -1, axis=0) | |
| 963 | self.__buffer_dc[self.n-1] = data_dc |
|
967 | self.__buffer_dc[self.n-1] = data_dc | |
| 964 |
|
968 | |||
| 965 | self.__profIndex = self.n |
|
969 | self.__profIndex = self.n | |
| 966 | return |
|
970 | return | |
| 967 |
|
971 | |||
| 968 |
|
972 | |||
| 969 | def pushData(self): |
|
973 | def pushData(self): | |
| 970 | """ |
|
974 | """ | |
| 971 | Return the sum of the last profiles and the profiles used in the sum. |
|
975 | Return the sum of the last profiles and the profiles used in the sum. | |
| 972 |
|
976 | |||
| 973 | Affected: |
|
977 | Affected: | |
| 974 |
|
978 | |||
| 975 | self.__profileIndex |
|
979 | self.__profileIndex | |
| 976 |
|
980 | |||
| 977 | """ |
|
981 | """ | |
| 978 | data_spc = None |
|
982 | data_spc = None | |
| 979 | data_cspc = None |
|
983 | data_cspc = None | |
| 980 | data_dc = None |
|
984 | data_dc = None | |
| 981 |
|
985 | |||
| 982 | if not self.__withOverapping: |
|
986 | if not self.__withOverapping: | |
| 983 | data_spc = self.__buffer_spc |
|
987 | data_spc = self.__buffer_spc | |
| 984 | data_cspc = self.__buffer_cspc |
|
988 | data_cspc = self.__buffer_cspc | |
| 985 | data_dc = self.__buffer_dc |
|
989 | data_dc = self.__buffer_dc | |
| 986 |
|
990 | |||
| 987 | n = self.__profIndex |
|
991 | n = self.__profIndex | |
| 988 |
|
992 | |||
| 989 | self.__buffer_spc = 0 |
|
993 | self.__buffer_spc = 0 | |
| 990 | self.__buffer_cspc = 0 |
|
994 | self.__buffer_cspc = 0 | |
| 991 | self.__buffer_dc = 0 |
|
995 | self.__buffer_dc = 0 | |
| 992 | self.__profIndex = 0 |
|
996 | self.__profIndex = 0 | |
| 993 |
|
997 | |||
| 994 | return data_spc, data_cspc, data_dc, n |
|
998 | return data_spc, data_cspc, data_dc, n | |
| 995 |
|
999 | |||
| 996 | #Integration with Overlapping |
|
1000 | #Integration with Overlapping | |
| 997 | data_spc = numpy.sum(self.__buffer_spc, axis=0) |
|
1001 | data_spc = numpy.sum(self.__buffer_spc, axis=0) | |
| 998 |
|
1002 | |||
| 999 | if self.__buffer_cspc != None: |
|
1003 | if self.__buffer_cspc != None: | |
| 1000 | data_cspc = numpy.sum(self.__buffer_cspc, axis=0) |
|
1004 | data_cspc = numpy.sum(self.__buffer_cspc, axis=0) | |
| 1001 |
|
1005 | |||
| 1002 | if self.__buffer_dc != None: |
|
1006 | if self.__buffer_dc != None: | |
| 1003 | data_dc = numpy.sum(self.__buffer_dc, axis=0) |
|
1007 | data_dc = numpy.sum(self.__buffer_dc, axis=0) | |
| 1004 |
|
1008 | |||
| 1005 | n = self.__profIndex |
|
1009 | n = self.__profIndex | |
| 1006 |
|
1010 | |||
| 1007 | return data_spc, data_cspc, data_dc, n |
|
1011 | return data_spc, data_cspc, data_dc, n | |
| 1008 |
|
1012 | |||
| 1009 | def byProfiles(self, *args): |
|
1013 | def byProfiles(self, *args): | |
| 1010 |
|
1014 | |||
| 1011 | self.__dataReady = False |
|
1015 | self.__dataReady = False | |
| 1012 | avgdata_spc = None |
|
1016 | avgdata_spc = None | |
| 1013 | avgdata_cspc = None |
|
1017 | avgdata_cspc = None | |
| 1014 | avgdata_dc = None |
|
1018 | avgdata_dc = None | |
| 1015 | n = None |
|
1019 | n = None | |
| 1016 |
|
1020 | |||
| 1017 | self.putData(*args) |
|
1021 | self.putData(*args) | |
| 1018 |
|
1022 | |||
| 1019 | if self.__profIndex == self.n: |
|
1023 | if self.__profIndex == self.n: | |
| 1020 |
|
1024 | |||
| 1021 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() |
|
1025 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() | |
| 1022 | self.__dataReady = True |
|
1026 | self.__dataReady = True | |
| 1023 |
|
1027 | |||
| 1024 | return avgdata_spc, avgdata_cspc, avgdata_dc |
|
1028 | return avgdata_spc, avgdata_cspc, avgdata_dc | |
| 1025 |
|
1029 | |||
| 1026 | def byTime(self, datatime, *args): |
|
1030 | def byTime(self, datatime, *args): | |
| 1027 |
|
1031 | |||
| 1028 | self.__dataReady = False |
|
1032 | self.__dataReady = False | |
| 1029 | avgdata_spc = None |
|
1033 | avgdata_spc = None | |
| 1030 | avgdata_cspc = None |
|
1034 | avgdata_cspc = None | |
| 1031 | avgdata_dc = None |
|
1035 | avgdata_dc = None | |
| 1032 | n = None |
|
1036 | n = None | |
| 1033 |
|
1037 | |||
| 1034 | self.putData(*args) |
|
1038 | self.putData(*args) | |
| 1035 |
|
1039 | |||
| 1036 | if (datatime - self.__initime) >= self.__integrationtime: |
|
1040 | if (datatime - self.__initime) >= self.__integrationtime: | |
| 1037 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() |
|
1041 | avgdata_spc, avgdata_cspc, avgdata_dc, n = self.pushData() | |
| 1038 | self.n = n |
|
1042 | self.n = n | |
| 1039 | self.__dataReady = True |
|
1043 | self.__dataReady = True | |
| 1040 |
|
1044 | |||
| 1041 | return avgdata_spc, avgdata_cspc, avgdata_dc |
|
1045 | return avgdata_spc, avgdata_cspc, avgdata_dc | |
| 1042 |
|
1046 | |||
| 1043 | def integrate(self, datatime, *args): |
|
1047 | def integrate(self, datatime, *args): | |
| 1044 |
|
1048 | |||
| 1045 | if self.__initime == None: |
|
1049 | if self.__initime == None: | |
| 1046 | self.__initime = datatime |
|
1050 | self.__initime = datatime | |
| 1047 |
|
1051 | |||
| 1048 | if self.__byTime: |
|
1052 | if self.__byTime: | |
| 1049 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byTime(datatime, *args) |
|
1053 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byTime(datatime, *args) | |
| 1050 | else: |
|
1054 | else: | |
| 1051 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byProfiles(*args) |
|
1055 | avgdata_spc, avgdata_cspc, avgdata_dc = self.byProfiles(*args) | |
| 1052 |
|
1056 | |||
| 1053 | self.__lastdatatime = datatime |
|
1057 | self.__lastdatatime = datatime | |
| 1054 |
|
1058 | |||
| 1055 | if avgdata_spc == None: |
|
1059 | if avgdata_spc == None: | |
| 1056 | return None, None, None, None |
|
1060 | return None, None, None, None | |
| 1057 |
|
1061 | |||
| 1058 | avgdatatime = self.__initime |
|
1062 | avgdatatime = self.__initime | |
| 1059 |
|
1063 | |||
| 1060 | deltatime = datatime -self.__lastdatatime |
|
1064 | deltatime = datatime -self.__lastdatatime | |
| 1061 |
|
1065 | |||
| 1062 | if not self.__withOverapping: |
|
1066 | if not self.__withOverapping: | |
| 1063 | self.__initime = datatime |
|
1067 | self.__initime = datatime | |
| 1064 | else: |
|
1068 | else: | |
| 1065 | self.__initime += deltatime |
|
1069 | self.__initime += deltatime | |
| 1066 |
|
1070 | |||
| 1067 | return avgdatatime, avgdata_spc, avgdata_cspc, avgdata_dc |
|
1071 | return avgdatatime, avgdata_spc, avgdata_cspc, avgdata_dc | |
| 1068 |
|
1072 | |||
| 1069 | def run(self, dataOut, n=None, timeInterval=None, overlapping=False): |
|
1073 | def run(self, dataOut, n=None, timeInterval=None, overlapping=False): | |
| 1070 |
|
1074 | |||
| 1071 | if not self.__isConfig: |
|
1075 | if not self.__isConfig: | |
| 1072 | self.setup(n, timeInterval, overlapping) |
|
1076 | self.setup(n, timeInterval, overlapping) | |
| 1073 | self.__isConfig = True |
|
1077 | self.__isConfig = True | |
| 1074 |
|
1078 | |||
| 1075 | avgdatatime, avgdata_spc, avgdata_cspc, avgdata_dc = self.integrate(dataOut.utctime, |
|
1079 | avgdatatime, avgdata_spc, avgdata_cspc, avgdata_dc = self.integrate(dataOut.utctime, | |
| 1076 | dataOut.data_spc, |
|
1080 | dataOut.data_spc, | |
| 1077 | dataOut.data_cspc, |
|
1081 | dataOut.data_cspc, | |
| 1078 | dataOut.data_dc) |
|
1082 | dataOut.data_dc) | |
| 1079 |
|
1083 | |||
| 1080 | # dataOut.timeInterval *= n |
|
1084 | # dataOut.timeInterval *= n | |
| 1081 | dataOut.flagNoData = True |
|
1085 | dataOut.flagNoData = True | |
| 1082 |
|
1086 | |||
| 1083 | if self.__dataReady: |
|
1087 | if self.__dataReady: | |
| 1084 |
|
1088 | |||
| 1085 | dataOut.data_spc = avgdata_spc / self.n |
|
1089 | dataOut.data_spc = avgdata_spc / self.n | |
| 1086 | dataOut.data_cspc = avgdata_cspc / self.n |
|
1090 | dataOut.data_cspc = avgdata_cspc / self.n | |
| 1087 | dataOut.data_dc = avgdata_dc / self.n |
|
1091 | dataOut.data_dc = avgdata_dc / self.n | |
| 1088 |
|
1092 | |||
| 1089 | dataOut.nIncohInt *= self.n |
|
1093 | dataOut.nIncohInt *= self.n | |
| 1090 | dataOut.utctime = avgdatatime |
|
1094 | dataOut.utctime = avgdatatime | |
| 1091 | dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt * dataOut.nIncohInt * dataOut.nFFTPoints |
|
1095 | dataOut.timeInterval = dataOut.ippSeconds * dataOut.nCohInt * dataOut.nIncohInt * dataOut.nFFTPoints | |
| 1092 | dataOut.flagNoData = False |
|
1096 | dataOut.flagNoData = False | |
| 1093 |
|
1097 | |||
| 1094 | class ProfileSelector(Operation): |
|
1098 | class ProfileSelector(Operation): | |
| 1095 |
|
1099 | |||
| 1096 | profileIndex = None |
|
1100 | profileIndex = None | |
| 1097 | # Tamanho total de los perfiles |
|
1101 | # Tamanho total de los perfiles | |
| 1098 | nProfiles = None |
|
1102 | nProfiles = None | |
| 1099 |
|
1103 | |||
| 1100 | def __init__(self): |
|
1104 | def __init__(self): | |
| 1101 |
|
1105 | |||
| 1102 | self.profileIndex = 0 |
|
1106 | self.profileIndex = 0 | |
| 1103 |
|
1107 | |||
| 1104 | def incIndex(self): |
|
1108 | def incIndex(self): | |
| 1105 | self.profileIndex += 1 |
|
1109 | self.profileIndex += 1 | |
| 1106 |
|
1110 | |||
| 1107 | if self.profileIndex >= self.nProfiles: |
|
1111 | if self.profileIndex >= self.nProfiles: | |
| 1108 | self.profileIndex = 0 |
|
1112 | self.profileIndex = 0 | |
| 1109 |
|
1113 | |||
| 1110 | def isProfileInRange(self, minIndex, maxIndex): |
|
1114 | def isProfileInRange(self, minIndex, maxIndex): | |
| 1111 |
|
1115 | |||
| 1112 | if self.profileIndex < minIndex: |
|
1116 | if self.profileIndex < minIndex: | |
| 1113 | return False |
|
1117 | return False | |
| 1114 |
|
1118 | |||
| 1115 | if self.profileIndex > maxIndex: |
|
1119 | if self.profileIndex > maxIndex: | |
| 1116 | return False |
|
1120 | return False | |
| 1117 |
|
1121 | |||
| 1118 | return True |
|
1122 | return True | |
| 1119 |
|
1123 | |||
| 1120 | def isProfileInList(self, profileList): |
|
1124 | def isProfileInList(self, profileList): | |
| 1121 |
|
1125 | |||
| 1122 | if self.profileIndex not in profileList: |
|
1126 | if self.profileIndex not in profileList: | |
| 1123 | return False |
|
1127 | return False | |
| 1124 |
|
1128 | |||
| 1125 | return True |
|
1129 | return True | |
| 1126 |
|
1130 | |||
| 1127 | def run(self, dataOut, profileList=None, profileRangeList=None): |
|
1131 | def run(self, dataOut, profileList=None, profileRangeList=None): | |
| 1128 |
|
1132 | |||
| 1129 | dataOut.flagNoData = True |
|
1133 | dataOut.flagNoData = True | |
| 1130 | self.nProfiles = dataOut.nProfiles |
|
1134 | self.nProfiles = dataOut.nProfiles | |
| 1131 |
|
1135 | |||
| 1132 | if profileList != None: |
|
1136 | if profileList != None: | |
| 1133 | if self.isProfileInList(profileList): |
|
1137 | if self.isProfileInList(profileList): | |
| 1134 | dataOut.flagNoData = False |
|
1138 | dataOut.flagNoData = False | |
| 1135 |
|
1139 | |||
| 1136 | self.incIndex() |
|
1140 | self.incIndex() | |
| 1137 | return 1 |
|
1141 | return 1 | |
| 1138 |
|
1142 | |||
| 1139 |
|
1143 | |||
| 1140 | elif profileRangeList != None: |
|
1144 | elif profileRangeList != None: | |
| 1141 | minIndex = profileRangeList[0] |
|
1145 | minIndex = profileRangeList[0] | |
| 1142 | maxIndex = profileRangeList[1] |
|
1146 | maxIndex = profileRangeList[1] | |
| 1143 | if self.isProfileInRange(minIndex, maxIndex): |
|
1147 | if self.isProfileInRange(minIndex, maxIndex): | |
| 1144 | dataOut.flagNoData = False |
|
1148 | dataOut.flagNoData = False | |
| 1145 |
|
1149 | |||
| 1146 | self.incIndex() |
|
1150 | self.incIndex() | |
| 1147 | return 1 |
|
1151 | return 1 | |
| 1148 |
|
1152 | |||
| 1149 | else: |
|
1153 | else: | |
| 1150 | raise ValueError, "ProfileSelector needs profileList or profileRangeList" |
|
1154 | raise ValueError, "ProfileSelector needs profileList or profileRangeList" | |
| 1151 |
|
1155 | |||
| 1152 | return 0 |
|
1156 | return 0 | |
| 1153 |
|
1157 | |||
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