##// END OF EJS Templates
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Channel title was fixed in plots
Miguel Valdez -
r713:8844aec3c35c
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@@ -1,188 +1,188
1 1 import os
2 2 import datetime
3 3 import numpy
4 4 import copy
5 5
6 6 from figure import Figure, isRealtime
7 7
8 8 class CorrelationPlot(Figure):
9 9
10 10 isConfig = None
11 11 __nsubplots = None
12 12
13 13 WIDTHPROF = None
14 14 HEIGHTPROF = None
15 15 PREFIX = 'corr'
16 16
17 17 def __init__(self):
18 18
19 19 self.isConfig = False
20 20 self.__nsubplots = 1
21 21
22 22 self.WIDTH = 280
23 23 self.HEIGHT = 250
24 24 self.WIDTHPROF = 120
25 25 self.HEIGHTPROF = 0
26 26 self.counter_imagwr = 0
27 27
28 28 self.PLOT_CODE = 1
29 29 self.FTP_WEI = None
30 30 self.EXP_CODE = None
31 31 self.SUB_EXP_CODE = None
32 32 self.PLOT_POS = None
33 33
34 34 def getSubplots(self):
35 35
36 36 ncol = int(numpy.sqrt(self.nplots)+0.9)
37 37 nrow = int(self.nplots*1./ncol + 0.9)
38 38
39 39 return nrow, ncol
40 40
41 41 def setup(self, id, nplots, wintitle, showprofile=False, show=True):
42 42
43 43 showprofile = False
44 44 self.__showprofile = showprofile
45 45 self.nplots = nplots
46 46
47 47 ncolspan = 1
48 48 colspan = 1
49 49 if showprofile:
50 50 ncolspan = 3
51 51 colspan = 2
52 52 self.__nsubplots = 2
53 53
54 54 self.createFigure(id = id,
55 55 wintitle = wintitle,
56 56 widthplot = self.WIDTH + self.WIDTHPROF,
57 57 heightplot = self.HEIGHT + self.HEIGHTPROF,
58 58 show=show)
59 59
60 60 nrow, ncol = self.getSubplots()
61 61
62 62 counter = 0
63 63 for y in range(nrow):
64 64 for x in range(ncol):
65 65
66 66 if counter >= self.nplots:
67 67 break
68 68
69 69 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
70 70
71 71 if showprofile:
72 72 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
73 73
74 74 counter += 1
75 75
76 76 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False,
77 77 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
78 78 save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
79 79 server=None, folder=None, username=None, password=None,
80 80 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
81 81
82 82 """
83 83
84 84 Input:
85 85 dataOut :
86 86 id :
87 87 wintitle :
88 88 channelList :
89 89 showProfile :
90 90 xmin : None,
91 91 xmax : None,
92 92 ymin : None,
93 93 ymax : None,
94 94 zmin : None,
95 95 zmax : None
96 96 """
97 97
98 98 if dataOut.flagNoData:
99 99 return None
100 100
101 101 if realtime:
102 102 if not(isRealtime(utcdatatime = dataOut.utctime)):
103 103 print 'Skipping this plot function'
104 104 return
105 105
106 106 if channelList == None:
107 107 channelIndexList = dataOut.channelIndexList
108 108 else:
109 109 channelIndexList = []
110 110 for channel in channelList:
111 111 if channel not in dataOut.channelList:
112 112 raise ValueError, "Channel %d is not in dataOut.channelList"
113 113 channelIndexList.append(dataOut.channelList.index(channel))
114 114
115 115 factor = dataOut.normFactor
116 116 lenfactor = factor.shape[1]
117 117 x = dataOut.getLagTRange(1)
118 118 y = dataOut.getHeiRange()
119 119
120 120 z = copy.copy(dataOut.data_corr[:,:,0,:])
121 121 for i in range(dataOut.data_corr.shape[0]):
122 122 z[i,:,:] = z[i,:,:]/factor[i,:]
123 123 zdB = numpy.abs(z)
124 124
125 125 avg = numpy.average(z, axis=1)
126 126 # avg = numpy.nanmean(z, axis=1)
127 127 # noise = dataOut.noise/factor
128 128
129 129 #thisDatetime = dataOut.datatime
130 130 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
131 131 title = wintitle + " Correlation"
132 132 xlabel = "Lag T (s)"
133 133 ylabel = "Range (Km)"
134 134
135 135 if not self.isConfig:
136 136
137 137 nplots = dataOut.data_corr.shape[0]
138 138
139 139 self.setup(id=id,
140 140 nplots=nplots,
141 141 wintitle=wintitle,
142 142 showprofile=showprofile,
143 143 show=show)
144 144
145 145 if xmin == None: xmin = numpy.nanmin(x)
146 146 if xmax == None: xmax = numpy.nanmax(x)
147 147 if ymin == None: ymin = numpy.nanmin(y)
148 148 if ymax == None: ymax = numpy.nanmax(y)
149 149 if zmin == None: zmin = 0
150 150 if zmax == None: zmax = 1
151 151
152 152 self.FTP_WEI = ftp_wei
153 153 self.EXP_CODE = exp_code
154 154 self.SUB_EXP_CODE = sub_exp_code
155 155 self.PLOT_POS = plot_pos
156 156
157 157 self.isConfig = True
158 158
159 159 self.setWinTitle(title)
160 160
161 161 for i in range(self.nplots):
162 162 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
163 title = "Channel %d and %d: : %s" %(dataOut.pairsList[i][0]+1,dataOut.pairsList[i][1]+1 , str_datetime)
163 title = "Channel %d and %d: : %s" %(dataOut.pairsList[i][0],dataOut.pairsList[i][1] , str_datetime)
164 164 axes = self.axesList[i*self.__nsubplots]
165 165 axes.pcolor(x, y, zdB[i,:,:],
166 166 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
167 167 xlabel=xlabel, ylabel=ylabel, title=title,
168 168 ticksize=9, cblabel='')
169 169
170 170 # if self.__showprofile:
171 171 # axes = self.axesList[i*self.__nsubplots +1]
172 172 # axes.pline(avgdB[i], y,
173 173 # xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
174 174 # xlabel='dB', ylabel='', title='',
175 175 # ytick_visible=False,
176 176 # grid='x')
177 177 #
178 178 # noiseline = numpy.repeat(noisedB[i], len(y))
179 179 # axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2)
180 180
181 181 self.draw()
182 182
183 183 self.save(figpath=figpath,
184 184 figfile=figfile,
185 185 save=save,
186 186 ftp=ftp,
187 187 wr_period=wr_period,
188 188 thisDatetime=thisDatetime)
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@@ -1,1363 +1,1363
1 1 import os
2 2 import datetime
3 3 import numpy
4 4
5 5 from figure import Figure, isRealtime
6 6 from plotting_codes import *
7 7
8 8 class MomentsPlot(Figure):
9 9
10 10 isConfig = None
11 11 __nsubplots = None
12 12
13 13 WIDTHPROF = None
14 14 HEIGHTPROF = None
15 15 PREFIX = 'prm'
16 16
17 17 def __init__(self):
18 18
19 19 self.isConfig = False
20 20 self.__nsubplots = 1
21 21
22 22 self.WIDTH = 280
23 23 self.HEIGHT = 250
24 24 self.WIDTHPROF = 120
25 25 self.HEIGHTPROF = 0
26 26 self.counter_imagwr = 0
27 27
28 28 self.PLOT_CODE = MOMENTS_CODE
29 29
30 30 self.FTP_WEI = None
31 31 self.EXP_CODE = None
32 32 self.SUB_EXP_CODE = None
33 33 self.PLOT_POS = None
34 34
35 35 def getSubplots(self):
36 36
37 37 ncol = int(numpy.sqrt(self.nplots)+0.9)
38 38 nrow = int(self.nplots*1./ncol + 0.9)
39 39
40 40 return nrow, ncol
41 41
42 42 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
43 43
44 44 self.__showprofile = showprofile
45 45 self.nplots = nplots
46 46
47 47 ncolspan = 1
48 48 colspan = 1
49 49 if showprofile:
50 50 ncolspan = 3
51 51 colspan = 2
52 52 self.__nsubplots = 2
53 53
54 54 self.createFigure(id = id,
55 55 wintitle = wintitle,
56 56 widthplot = self.WIDTH + self.WIDTHPROF,
57 57 heightplot = self.HEIGHT + self.HEIGHTPROF,
58 58 show=show)
59 59
60 60 nrow, ncol = self.getSubplots()
61 61
62 62 counter = 0
63 63 for y in range(nrow):
64 64 for x in range(ncol):
65 65
66 66 if counter >= self.nplots:
67 67 break
68 68
69 69 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
70 70
71 71 if showprofile:
72 72 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
73 73
74 74 counter += 1
75 75
76 76 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True,
77 77 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
78 78 save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
79 79 server=None, folder=None, username=None, password=None,
80 80 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
81 81
82 82 """
83 83
84 84 Input:
85 85 dataOut :
86 86 id :
87 87 wintitle :
88 88 channelList :
89 89 showProfile :
90 90 xmin : None,
91 91 xmax : None,
92 92 ymin : None,
93 93 ymax : None,
94 94 zmin : None,
95 95 zmax : None
96 96 """
97 97
98 98 if dataOut.flagNoData:
99 99 return None
100 100
101 101 if realtime:
102 102 if not(isRealtime(utcdatatime = dataOut.utctime)):
103 103 print 'Skipping this plot function'
104 104 return
105 105
106 106 if channelList == None:
107 107 channelIndexList = dataOut.channelIndexList
108 108 else:
109 109 channelIndexList = []
110 110 for channel in channelList:
111 111 if channel not in dataOut.channelList:
112 112 raise ValueError, "Channel %d is not in dataOut.channelList"
113 113 channelIndexList.append(dataOut.channelList.index(channel))
114 114
115 115 factor = dataOut.normFactor
116 116 x = dataOut.abscissaList
117 117 y = dataOut.heightList
118 118
119 119 z = dataOut.data_pre[channelIndexList,:,:]/factor
120 120 z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
121 121 avg = numpy.average(z, axis=1)
122 122 noise = dataOut.noise/factor
123 123
124 124 zdB = 10*numpy.log10(z)
125 125 avgdB = 10*numpy.log10(avg)
126 126 noisedB = 10*numpy.log10(noise)
127 127
128 128 #thisDatetime = dataOut.datatime
129 129 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
130 130 title = wintitle + " Parameters"
131 131 xlabel = "Velocity (m/s)"
132 132 ylabel = "Range (Km)"
133 133
134 134 if not self.isConfig:
135 135
136 136 nplots = len(channelIndexList)
137 137
138 138 self.setup(id=id,
139 139 nplots=nplots,
140 140 wintitle=wintitle,
141 141 showprofile=showprofile,
142 142 show=show)
143 143
144 144 if xmin == None: xmin = numpy.nanmin(x)
145 145 if xmax == None: xmax = numpy.nanmax(x)
146 146 if ymin == None: ymin = numpy.nanmin(y)
147 147 if ymax == None: ymax = numpy.nanmax(y)
148 148 if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
149 149 if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
150 150
151 151 self.FTP_WEI = ftp_wei
152 152 self.EXP_CODE = exp_code
153 153 self.SUB_EXP_CODE = sub_exp_code
154 154 self.PLOT_POS = plot_pos
155 155
156 156 self.isConfig = True
157 157
158 158 self.setWinTitle(title)
159 159
160 160 for i in range(self.nplots):
161 161 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
162 title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i]+1, noisedB[i], str_datetime)
162 title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i], noisedB[i], str_datetime)
163 163 axes = self.axesList[i*self.__nsubplots]
164 164 axes.pcolor(x, y, zdB[i,:,:],
165 165 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
166 166 xlabel=xlabel, ylabel=ylabel, title=title,
167 167 ticksize=9, cblabel='')
168 168 #Mean Line
169 169 mean = dataOut.data_param[i, 1, :]
170 170 axes.addpline(mean, y, idline=0, color="black", linestyle="solid", lw=1)
171 171
172 172 if self.__showprofile:
173 173 axes = self.axesList[i*self.__nsubplots +1]
174 174 axes.pline(avgdB[i], y,
175 175 xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
176 176 xlabel='dB', ylabel='', title='',
177 177 ytick_visible=False,
178 178 grid='x')
179 179
180 180 noiseline = numpy.repeat(noisedB[i], len(y))
181 181 axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2)
182 182
183 183 self.draw()
184 184
185 185 self.save(figpath=figpath,
186 186 figfile=figfile,
187 187 save=save,
188 188 ftp=ftp,
189 189 wr_period=wr_period,
190 190 thisDatetime=thisDatetime)
191 191
192 192
193 193
194 194 class SkyMapPlot(Figure):
195 195
196 196 __isConfig = None
197 197 __nsubplots = None
198 198
199 199 WIDTHPROF = None
200 200 HEIGHTPROF = None
201 201 PREFIX = 'mmap'
202 202
203 203 def __init__(self):
204 204
205 205 self.__isConfig = False
206 206 self.__nsubplots = 1
207 207
208 208 # self.WIDTH = 280
209 209 # self.HEIGHT = 250
210 210 self.WIDTH = 600
211 211 self.HEIGHT = 600
212 212 self.WIDTHPROF = 120
213 213 self.HEIGHTPROF = 0
214 214 self.counter_imagwr = 0
215 215
216 216 self.PLOT_CODE = MSKYMAP_CODE
217 217
218 218 self.FTP_WEI = None
219 219 self.EXP_CODE = None
220 220 self.SUB_EXP_CODE = None
221 221 self.PLOT_POS = None
222 222
223 223 def getSubplots(self):
224 224
225 225 ncol = int(numpy.sqrt(self.nplots)+0.9)
226 226 nrow = int(self.nplots*1./ncol + 0.9)
227 227
228 228 return nrow, ncol
229 229
230 230 def setup(self, id, nplots, wintitle, showprofile=False, show=True):
231 231
232 232 self.__showprofile = showprofile
233 233 self.nplots = nplots
234 234
235 235 ncolspan = 1
236 236 colspan = 1
237 237
238 238 self.createFigure(id = id,
239 239 wintitle = wintitle,
240 240 widthplot = self.WIDTH, #+ self.WIDTHPROF,
241 241 heightplot = self.HEIGHT,# + self.HEIGHTPROF,
242 242 show=show)
243 243
244 244 nrow, ncol = 1,1
245 245 counter = 0
246 246 x = 0
247 247 y = 0
248 248 self.addAxes(1, 1, 0, 0, 1, 1, True)
249 249
250 250 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False,
251 251 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
252 252 save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
253 253 server=None, folder=None, username=None, password=None,
254 254 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
255 255
256 256 """
257 257
258 258 Input:
259 259 dataOut :
260 260 id :
261 261 wintitle :
262 262 channelList :
263 263 showProfile :
264 264 xmin : None,
265 265 xmax : None,
266 266 ymin : None,
267 267 ymax : None,
268 268 zmin : None,
269 269 zmax : None
270 270 """
271 271
272 272 arrayParameters = dataOut.data_param[0,:]
273 273 error = arrayParameters[:,-1]
274 274 indValid = numpy.where(error == 0)[0]
275 275 finalMeteor = arrayParameters[indValid,:]
276 276 finalAzimuth = finalMeteor[:,4]
277 277 finalZenith = finalMeteor[:,5]
278 278
279 279 x = finalAzimuth*numpy.pi/180
280 280 y = finalZenith
281 281
282 282
283 283 #thisDatetime = dataOut.datatime
284 284 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
285 285 title = wintitle + " Parameters"
286 286 xlabel = "Zonal Zenith Angle (deg) "
287 287 ylabel = "Meridional Zenith Angle (deg)"
288 288
289 289 if not self.__isConfig:
290 290
291 291 nplots = 1
292 292
293 293 self.setup(id=id,
294 294 nplots=nplots,
295 295 wintitle=wintitle,
296 296 showprofile=showprofile,
297 297 show=show)
298 298
299 299 self.FTP_WEI = ftp_wei
300 300 self.EXP_CODE = exp_code
301 301 self.SUB_EXP_CODE = sub_exp_code
302 302 self.PLOT_POS = plot_pos
303 303 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
304 304 self.firstdate = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
305 305 self.__isConfig = True
306 306
307 307 self.setWinTitle(title)
308 308
309 309 i = 0
310 310 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
311 311
312 312 axes = self.axesList[i*self.__nsubplots]
313 313 nevents = axes.x_buffer.shape[0] + x.shape[0]
314 314 title = "Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n" %(self.firstdate,str_datetime,nevents)
315 315 axes.polar(x, y,
316 316 title=title, xlabel=xlabel, ylabel=ylabel,
317 317 ticksize=9, cblabel='')
318 318
319 319 self.draw()
320 320
321 321 self.save(figpath=figpath,
322 322 figfile=figfile,
323 323 save=save,
324 324 ftp=ftp,
325 325 wr_period=wr_period,
326 326 thisDatetime=thisDatetime)
327 327
328 328
329 329 class WindProfilerPlot(Figure):
330 330
331 331 __isConfig = None
332 332 __nsubplots = None
333 333
334 334 WIDTHPROF = None
335 335 HEIGHTPROF = None
336 336 PREFIX = 'wind'
337 337
338 338 def __init__(self):
339 339
340 340 self.timerange = None
341 341 self.__isConfig = False
342 342 self.__nsubplots = 1
343 343
344 344 self.WIDTH = 800
345 345 self.HEIGHT = 150
346 346 self.WIDTHPROF = 120
347 347 self.HEIGHTPROF = 0
348 348 self.counter_imagwr = 0
349 349
350 350 self.PLOT_CODE = WIND_CODE
351 351
352 352 self.FTP_WEI = None
353 353 self.EXP_CODE = None
354 354 self.SUB_EXP_CODE = None
355 355 self.PLOT_POS = None
356 356 self.tmin = None
357 357 self.tmax = None
358 358
359 359 self.xmin = None
360 360 self.xmax = None
361 361
362 362 self.figfile = None
363 363
364 364 def getSubplots(self):
365 365
366 366 ncol = 1
367 367 nrow = self.nplots
368 368
369 369 return nrow, ncol
370 370
371 371 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
372 372
373 373 self.__showprofile = showprofile
374 374 self.nplots = nplots
375 375
376 376 ncolspan = 1
377 377 colspan = 1
378 378
379 379 self.createFigure(id = id,
380 380 wintitle = wintitle,
381 381 widthplot = self.WIDTH + self.WIDTHPROF,
382 382 heightplot = self.HEIGHT + self.HEIGHTPROF,
383 383 show=show)
384 384
385 385 nrow, ncol = self.getSubplots()
386 386
387 387 counter = 0
388 388 for y in range(nrow):
389 389 if counter >= self.nplots:
390 390 break
391 391
392 392 self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1)
393 393 counter += 1
394 394
395 395 def run(self, dataOut, id, wintitle="", channelList=None, showprofile='False',
396 396 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
397 397 zmax_ver = None, zmin_ver = None, SNRmin = None, SNRmax = None,
398 398 timerange=None, SNRthresh = None,
399 399 save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
400 400 server=None, folder=None, username=None, password=None,
401 401 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
402 402 """
403 403
404 404 Input:
405 405 dataOut :
406 406 id :
407 407 wintitle :
408 408 channelList :
409 409 showProfile :
410 410 xmin : None,
411 411 xmax : None,
412 412 ymin : None,
413 413 ymax : None,
414 414 zmin : None,
415 415 zmax : None
416 416 """
417 417
418 418 if channelList == None:
419 419 channelIndexList = dataOut.channelIndexList
420 420 else:
421 421 channelIndexList = []
422 422 for channel in channelList:
423 423 if channel not in dataOut.channelList:
424 424 raise ValueError, "Channel %d is not in dataOut.channelList"
425 425 channelIndexList.append(dataOut.channelList.index(channel))
426 426
427 427 # if timerange is not None:
428 428 # self.timerange = timerange
429 429 #
430 430 # tmin = None
431 431 # tmax = None
432 432
433 433 x = dataOut.getTimeRange1()
434 434 # y = dataOut.heightList
435 435 y = dataOut.heightList
436 436
437 437 z = dataOut.data_output.copy()
438 438 nplots = z.shape[0] #Number of wind dimensions estimated
439 439 nplotsw = nplots
440 440
441 441 #If there is a SNR function defined
442 442 if dataOut.data_SNR is not None:
443 443 nplots += 1
444 444 SNR = dataOut.data_SNR
445 445 SNRavg = numpy.average(SNR, axis=0)
446 446
447 447 SNRdB = 10*numpy.log10(SNR)
448 448 SNRavgdB = 10*numpy.log10(SNRavg)
449 449
450 450 if SNRthresh == None: SNRthresh = -5.0
451 451 ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0]
452 452
453 453 for i in range(nplotsw):
454 454 z[i,ind] = numpy.nan
455 455
456 456
457 457 # showprofile = False
458 458 # thisDatetime = dataOut.datatime
459 459 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
460 460 title = wintitle + "Wind"
461 461 xlabel = ""
462 462 ylabel = "Range (Km)"
463 463
464 464 if not self.__isConfig:
465 465
466 466 self.setup(id=id,
467 467 nplots=nplots,
468 468 wintitle=wintitle,
469 469 showprofile=showprofile,
470 470 show=show)
471 471
472 472 if timerange is not None:
473 473 self.timerange = timerange
474 474
475 475 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
476 476
477 477 if ymin == None: ymin = numpy.nanmin(y)
478 478 if ymax == None: ymax = numpy.nanmax(y)
479 479
480 480 if zmax == None: zmax = numpy.nanmax(abs(z[range(2),:]))
481 481 #if numpy.isnan(zmax): zmax = 50
482 482 if zmin == None: zmin = -zmax
483 483
484 484 if nplotsw == 3:
485 485 if zmax_ver == None: zmax_ver = numpy.nanmax(abs(z[2,:]))
486 486 if zmin_ver == None: zmin_ver = -zmax_ver
487 487
488 488 if dataOut.data_SNR is not None:
489 489 if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB)
490 490 if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB)
491 491
492 492
493 493 self.FTP_WEI = ftp_wei
494 494 self.EXP_CODE = exp_code
495 495 self.SUB_EXP_CODE = sub_exp_code
496 496 self.PLOT_POS = plot_pos
497 497
498 498 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
499 499 self.__isConfig = True
500 500 self.figfile = figfile
501 501
502 502 self.setWinTitle(title)
503 503
504 504 if ((self.xmax - x[1]) < (x[1]-x[0])):
505 505 x[1] = self.xmax
506 506
507 507 strWind = ['Zonal', 'Meridional', 'Vertical']
508 508 strCb = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)']
509 509 zmaxVector = [zmax, zmax, zmax_ver]
510 510 zminVector = [zmin, zmin, zmin_ver]
511 511 windFactor = [1,1,100]
512 512
513 513 for i in range(nplotsw):
514 514
515 515 title = "%s Wind: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
516 516 axes = self.axesList[i*self.__nsubplots]
517 517
518 518 z1 = z[i,:].reshape((1,-1))*windFactor[i]
519 519
520 520 axes.pcolorbuffer(x, y, z1,
521 521 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i],
522 522 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
523 523 ticksize=9, cblabel=strCb[i], cbsize="1%", colormap="RdBu_r" )
524 524
525 525 if dataOut.data_SNR is not None:
526 526 i += 1
527 527 title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
528 528 axes = self.axesList[i*self.__nsubplots]
529 529
530 530 SNRavgdB = SNRavgdB.reshape((1,-1))
531 531
532 532 axes.pcolorbuffer(x, y, SNRavgdB,
533 533 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
534 534 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
535 535 ticksize=9, cblabel='', cbsize="1%", colormap="jet")
536 536
537 537 self.draw()
538 538
539 539 if x[1] >= self.axesList[0].xmax:
540 540 self.counter_imagwr = wr_period
541 541 self.__isConfig = False
542 542 self.figfile = None
543 543
544 544 self.save(figpath=figpath,
545 545 figfile=figfile,
546 546 save=save,
547 547 ftp=ftp,
548 548 wr_period=wr_period,
549 549 thisDatetime=thisDatetime,
550 550 update_figfile=False)
551 551
552 552
553 553 class ParametersPlot(Figure):
554 554
555 555 __isConfig = None
556 556 __nsubplots = None
557 557
558 558 WIDTHPROF = None
559 559 HEIGHTPROF = None
560 560 PREFIX = 'prm'
561 561
562 562 def __init__(self):
563 563
564 564 self.timerange = 2*60*60
565 565 self.__isConfig = False
566 566 self.__nsubplots = 1
567 567
568 568 self.WIDTH = 800
569 569 self.HEIGHT = 150
570 570 self.WIDTHPROF = 120
571 571 self.HEIGHTPROF = 0
572 572 self.counter_imagwr = 0
573 573
574 574 self.PLOT_CODE = PARMS_CODE
575 575
576 576 self.FTP_WEI = None
577 577 self.EXP_CODE = None
578 578 self.SUB_EXP_CODE = None
579 579 self.PLOT_POS = None
580 580 self.tmin = None
581 581 self.tmax = None
582 582
583 583 self.xmin = None
584 584 self.xmax = None
585 585
586 586 self.figfile = None
587 587
588 588 def getSubplots(self):
589 589
590 590 ncol = 1
591 591 nrow = self.nplots
592 592
593 593 return nrow, ncol
594 594
595 595 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
596 596
597 597 self.__showprofile = showprofile
598 598 self.nplots = nplots
599 599
600 600 ncolspan = 1
601 601 colspan = 1
602 602
603 603 self.createFigure(id = id,
604 604 wintitle = wintitle,
605 605 widthplot = self.WIDTH + self.WIDTHPROF,
606 606 heightplot = self.HEIGHT + self.HEIGHTPROF,
607 607 show=show)
608 608
609 609 nrow, ncol = self.getSubplots()
610 610
611 611 counter = 0
612 612 for y in range(nrow):
613 613 for x in range(ncol):
614 614
615 615 if counter >= self.nplots:
616 616 break
617 617
618 618 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
619 619
620 620 if showprofile:
621 621 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
622 622
623 623 counter += 1
624 624
625 625 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False,
626 626 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,timerange=None,
627 627 parameterIndex = None, onlyPositive = False,
628 628 SNRthresh = -numpy.inf, SNR = True, SNRmin = None, SNRmax = None, onlySNR = False,
629 629 DOP = True,
630 630 zlabel = "", parameterName = "", parameterObject = "data_param",
631 631 save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
632 632 server=None, folder=None, username=None, password=None,
633 633 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
634 634
635 635 """
636 636
637 637 Input:
638 638 dataOut :
639 639 id :
640 640 wintitle :
641 641 channelList :
642 642 showProfile :
643 643 xmin : None,
644 644 xmax : None,
645 645 ymin : None,
646 646 ymax : None,
647 647 zmin : None,
648 648 zmax : None
649 649 """
650 650
651 651 data_param = getattr(dataOut, parameterObject)
652 652
653 653 if channelList == None:
654 654 channelIndexList = numpy.arange(data_param.shape[0])
655 655 else:
656 656 channelIndexList = numpy.array(channelList)
657 657
658 658 nchan = len(channelIndexList) #Number of channels being plotted
659 659
660 660 if nchan < 1:
661 661 return
662 662
663 663 nGraphsByChannel = 0
664 664
665 665 if SNR:
666 666 nGraphsByChannel += 1
667 667 if DOP:
668 668 nGraphsByChannel += 1
669 669
670 670 if nGraphsByChannel < 1:
671 671 return
672 672
673 673 nplots = nGraphsByChannel*nchan
674 674
675 675 if timerange is not None:
676 676 self.timerange = timerange
677 677
678 678 #tmin = None
679 679 #tmax = None
680 680 if parameterIndex == None:
681 681 parameterIndex = 1
682 682
683 683 x = dataOut.getTimeRange1()
684 684 y = dataOut.heightList
685 685 z = data_param[channelIndexList,parameterIndex,:].copy()
686 686
687 687 zRange = dataOut.abscissaList
688 688 # nChannels = z.shape[0] #Number of wind dimensions estimated
689 689 # thisDatetime = dataOut.datatime
690 690
691 691 if dataOut.data_SNR is not None:
692 692 SNRarray = dataOut.data_SNR[channelIndexList,:]
693 693 SNRdB = 10*numpy.log10(SNRarray)
694 694 # SNRavgdB = 10*numpy.log10(SNRavg)
695 695 ind = numpy.where(SNRdB < 10**(SNRthresh/10))
696 696 z[ind] = numpy.nan
697 697
698 698 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
699 699 title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
700 700 xlabel = ""
701 701 ylabel = "Range (Km)"
702 702
703 703 if (SNR and not onlySNR): nplots = 2*nplots
704 704
705 705 if onlyPositive:
706 706 colormap = "jet"
707 707 zmin = 0
708 708 else: colormap = "RdBu_r"
709 709
710 710 if not self.__isConfig:
711 711
712 712 self.setup(id=id,
713 713 nplots=nplots,
714 714 wintitle=wintitle,
715 715 showprofile=showprofile,
716 716 show=show)
717 717
718 718 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
719 719
720 720 if ymin == None: ymin = numpy.nanmin(y)
721 721 if ymax == None: ymax = numpy.nanmax(y)
722 722 if zmin == None: zmin = numpy.nanmin(zRange)
723 723 if zmax == None: zmax = numpy.nanmax(zRange)
724 724
725 725 if SNR:
726 726 if SNRmin == None: SNRmin = numpy.nanmin(SNRdB)
727 727 if SNRmax == None: SNRmax = numpy.nanmax(SNRdB)
728 728
729 729 self.FTP_WEI = ftp_wei
730 730 self.EXP_CODE = exp_code
731 731 self.SUB_EXP_CODE = sub_exp_code
732 732 self.PLOT_POS = plot_pos
733 733
734 734 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
735 735 self.__isConfig = True
736 736 self.figfile = figfile
737 737
738 738 self.setWinTitle(title)
739 739
740 740 if ((self.xmax - x[1]) < (x[1]-x[0])):
741 741 x[1] = self.xmax
742 742
743 743 for i in range(nchan):
744 744
745 745 if (SNR and not onlySNR): j = 2*i
746 746 else: j = i
747 747
748 748 j = nGraphsByChannel*i
749 749
750 750 if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
751 751 title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
752 752
753 753 if not onlySNR:
754 754 axes = self.axesList[j*self.__nsubplots]
755 755 z1 = z[i,:].reshape((1,-1))
756 756 axes.pcolorbuffer(x, y, z1,
757 757 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
758 758 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap,
759 759 ticksize=9, cblabel=zlabel, cbsize="1%")
760 760
761 761 if DOP:
762 title = "%s Channel %d: %s" %(parameterName, channelIndexList[i]+1, thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
762 title = "%s Channel %d: %s" %(parameterName, channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
763 763
764 764 if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
765 765 title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
766 766 axes = self.axesList[j]
767 767 z1 = z[i,:].reshape((1,-1))
768 768 axes.pcolorbuffer(x, y, z1,
769 769 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
770 770 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap,
771 771 ticksize=9, cblabel=zlabel, cbsize="1%")
772 772
773 773 if SNR:
774 title = "Channel %d Signal Noise Ratio (SNR): %s" %(channelIndexList[i]+1, thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
774 title = "Channel %d Signal Noise Ratio (SNR): %s" %(channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
775 775 axes = self.axesList[(j)*self.__nsubplots]
776 776 if not onlySNR:
777 777 axes = self.axesList[(j + 1)*self.__nsubplots]
778 778
779 779 axes = self.axesList[(j + nGraphsByChannel-1)]
780 780
781 781 z1 = SNRdB[i,:].reshape((1,-1))
782 782 axes.pcolorbuffer(x, y, z1,
783 783 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
784 784 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap="jet",
785 785 ticksize=9, cblabel=zlabel, cbsize="1%")
786 786
787 787
788 788
789 789 self.draw()
790 790
791 791 if x[1] >= self.axesList[0].xmax:
792 792 self.counter_imagwr = wr_period
793 793 self.__isConfig = False
794 794 self.figfile = None
795 795
796 796 self.save(figpath=figpath,
797 797 figfile=figfile,
798 798 save=save,
799 799 ftp=ftp,
800 800 wr_period=wr_period,
801 801 thisDatetime=thisDatetime,
802 802 update_figfile=False)
803 803
804 804 class SpectralFittingPlot(Figure):
805 805
806 806 __isConfig = None
807 807 __nsubplots = None
808 808
809 809 WIDTHPROF = None
810 810 HEIGHTPROF = None
811 811 PREFIX = 'prm'
812 812
813 813
814 814 N = None
815 815 ippSeconds = None
816 816
817 817 def __init__(self):
818 818 self.__isConfig = False
819 819 self.__nsubplots = 1
820 820
821 821 self.PLOT_CODE = SPECFIT_CODE
822 822
823 823 self.WIDTH = 450
824 824 self.HEIGHT = 250
825 825 self.WIDTHPROF = 0
826 826 self.HEIGHTPROF = 0
827 827
828 828 def getSubplots(self):
829 829
830 830 ncol = int(numpy.sqrt(self.nplots)+0.9)
831 831 nrow = int(self.nplots*1./ncol + 0.9)
832 832
833 833 return nrow, ncol
834 834
835 835 def setup(self, id, nplots, wintitle, showprofile=False, show=True):
836 836
837 837 showprofile = False
838 838 self.__showprofile = showprofile
839 839 self.nplots = nplots
840 840
841 841 ncolspan = 5
842 842 colspan = 4
843 843 if showprofile:
844 844 ncolspan = 5
845 845 colspan = 4
846 846 self.__nsubplots = 2
847 847
848 848 self.createFigure(id = id,
849 849 wintitle = wintitle,
850 850 widthplot = self.WIDTH + self.WIDTHPROF,
851 851 heightplot = self.HEIGHT + self.HEIGHTPROF,
852 852 show=show)
853 853
854 854 nrow, ncol = self.getSubplots()
855 855
856 856 counter = 0
857 857 for y in range(nrow):
858 858 for x in range(ncol):
859 859
860 860 if counter >= self.nplots:
861 861 break
862 862
863 863 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
864 864
865 865 if showprofile:
866 866 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
867 867
868 868 counter += 1
869 869
870 870 def run(self, dataOut, id, cutHeight=None, fit=False, wintitle="", channelList=None, showprofile=True,
871 871 xmin=None, xmax=None, ymin=None, ymax=None,
872 872 save=False, figpath='./', figfile=None, show=True):
873 873
874 874 """
875 875
876 876 Input:
877 877 dataOut :
878 878 id :
879 879 wintitle :
880 880 channelList :
881 881 showProfile :
882 882 xmin : None,
883 883 xmax : None,
884 884 zmin : None,
885 885 zmax : None
886 886 """
887 887
888 888 if cutHeight==None:
889 889 h=270
890 890 heightindex = numpy.abs(cutHeight - dataOut.heightList).argmin()
891 891 cutHeight = dataOut.heightList[heightindex]
892 892
893 893 factor = dataOut.normFactor
894 894 x = dataOut.abscissaList[:-1]
895 895 #y = dataOut.getHeiRange()
896 896
897 897 z = dataOut.data_pre[:,:,heightindex]/factor
898 898 z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
899 899 avg = numpy.average(z, axis=1)
900 900 listChannels = z.shape[0]
901 901
902 902 #Reconstruct Function
903 903 if fit==True:
904 904 groupArray = dataOut.groupList
905 905 listChannels = groupArray.reshape((groupArray.size))
906 906 listChannels.sort()
907 907 spcFitLine = numpy.zeros(z.shape)
908 908 constants = dataOut.constants
909 909
910 910 nGroups = groupArray.shape[0]
911 911 nChannels = groupArray.shape[1]
912 912 nProfiles = z.shape[1]
913 913
914 914 for f in range(nGroups):
915 915 groupChann = groupArray[f,:]
916 916 p = dataOut.data_param[f,:,heightindex]
917 917 # p = numpy.array([ 89.343967,0.14036615,0.17086219,18.89835291,1.58388365,1.55099167])
918 918 fitLineAux = dataOut.library.modelFunction(p, constants)*nProfiles
919 919 fitLineAux = fitLineAux.reshape((nChannels,nProfiles))
920 920 spcFitLine[groupChann,:] = fitLineAux
921 921 # spcFitLine = spcFitLine/factor
922 922
923 923 z = z[listChannels,:]
924 924 spcFitLine = spcFitLine[listChannels,:]
925 925 spcFitLinedB = 10*numpy.log10(spcFitLine)
926 926
927 927 zdB = 10*numpy.log10(z)
928 928 #thisDatetime = dataOut.datatime
929 929 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
930 930 title = wintitle + " Doppler Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
931 931 xlabel = "Velocity (m/s)"
932 932 ylabel = "Spectrum"
933 933
934 934 if not self.__isConfig:
935 935
936 936 nplots = listChannels.size
937 937
938 938 self.setup(id=id,
939 939 nplots=nplots,
940 940 wintitle=wintitle,
941 941 showprofile=showprofile,
942 942 show=show)
943 943
944 944 if xmin == None: xmin = numpy.nanmin(x)
945 945 if xmax == None: xmax = numpy.nanmax(x)
946 946 if ymin == None: ymin = numpy.nanmin(zdB)
947 947 if ymax == None: ymax = numpy.nanmax(zdB)+2
948 948
949 949 self.__isConfig = True
950 950
951 951 self.setWinTitle(title)
952 952 for i in range(self.nplots):
953 953 # title = "Channel %d: %4.2fdB" %(dataOut.channelList[i]+1, noisedB[i])
954 title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i]+1)
954 title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i])
955 955 axes = self.axesList[i*self.__nsubplots]
956 956 if fit == False:
957 957 axes.pline(x, zdB[i,:],
958 958 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
959 959 xlabel=xlabel, ylabel=ylabel, title=title
960 960 )
961 961 if fit == True:
962 962 fitline=spcFitLinedB[i,:]
963 963 y=numpy.vstack([zdB[i,:],fitline] )
964 964 legendlabels=['Data','Fitting']
965 965 axes.pmultilineyaxis(x, y,
966 966 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
967 967 xlabel=xlabel, ylabel=ylabel, title=title,
968 968 legendlabels=legendlabels, marker=None,
969 969 linestyle='solid', grid='both')
970 970
971 971 self.draw()
972 972
973 973 self.save(figpath=figpath,
974 974 figfile=figfile,
975 975 save=save,
976 976 ftp=ftp,
977 977 wr_period=wr_period,
978 978 thisDatetime=thisDatetime)
979 979
980 980
981 981 class EWDriftsPlot(Figure):
982 982
983 983 __isConfig = None
984 984 __nsubplots = None
985 985
986 986 WIDTHPROF = None
987 987 HEIGHTPROF = None
988 988 PREFIX = 'drift'
989 989
990 990 def __init__(self):
991 991
992 992 self.timerange = 2*60*60
993 993 self.isConfig = False
994 994 self.__nsubplots = 1
995 995
996 996 self.WIDTH = 800
997 997 self.HEIGHT = 150
998 998 self.WIDTHPROF = 120
999 999 self.HEIGHTPROF = 0
1000 1000 self.counter_imagwr = 0
1001 1001
1002 1002 self.PLOT_CODE = EWDRIFT_CODE
1003 1003
1004 1004 self.FTP_WEI = None
1005 1005 self.EXP_CODE = None
1006 1006 self.SUB_EXP_CODE = None
1007 1007 self.PLOT_POS = None
1008 1008 self.tmin = None
1009 1009 self.tmax = None
1010 1010
1011 1011 self.xmin = None
1012 1012 self.xmax = None
1013 1013
1014 1014 self.figfile = None
1015 1015
1016 1016 def getSubplots(self):
1017 1017
1018 1018 ncol = 1
1019 1019 nrow = self.nplots
1020 1020
1021 1021 return nrow, ncol
1022 1022
1023 1023 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
1024 1024
1025 1025 self.__showprofile = showprofile
1026 1026 self.nplots = nplots
1027 1027
1028 1028 ncolspan = 1
1029 1029 colspan = 1
1030 1030
1031 1031 self.createFigure(id = id,
1032 1032 wintitle = wintitle,
1033 1033 widthplot = self.WIDTH + self.WIDTHPROF,
1034 1034 heightplot = self.HEIGHT + self.HEIGHTPROF,
1035 1035 show=show)
1036 1036
1037 1037 nrow, ncol = self.getSubplots()
1038 1038
1039 1039 counter = 0
1040 1040 for y in range(nrow):
1041 1041 if counter >= self.nplots:
1042 1042 break
1043 1043
1044 1044 self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1)
1045 1045 counter += 1
1046 1046
1047 1047 def run(self, dataOut, id, wintitle="", channelList=None,
1048 1048 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
1049 1049 zmaxVertical = None, zminVertical = None, zmaxZonal = None, zminZonal = None,
1050 1050 timerange=None, SNRthresh = -numpy.inf, SNRmin = None, SNRmax = None, SNR_1 = False,
1051 1051 save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
1052 1052 server=None, folder=None, username=None, password=None,
1053 1053 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
1054 1054 """
1055 1055
1056 1056 Input:
1057 1057 dataOut :
1058 1058 id :
1059 1059 wintitle :
1060 1060 channelList :
1061 1061 showProfile :
1062 1062 xmin : None,
1063 1063 xmax : None,
1064 1064 ymin : None,
1065 1065 ymax : None,
1066 1066 zmin : None,
1067 1067 zmax : None
1068 1068 """
1069 1069
1070 1070 if timerange is not None:
1071 1071 self.timerange = timerange
1072 1072
1073 1073 tmin = None
1074 1074 tmax = None
1075 1075
1076 1076 x = dataOut.getTimeRange1()
1077 1077 # y = dataOut.heightList
1078 1078 y = dataOut.heightList
1079 1079
1080 1080 z = dataOut.data_output
1081 1081 nplots = z.shape[0] #Number of wind dimensions estimated
1082 1082 nplotsw = nplots
1083 1083
1084 1084 #If there is a SNR function defined
1085 1085 if dataOut.data_SNR is not None:
1086 1086 nplots += 1
1087 1087 SNR = dataOut.data_SNR
1088 1088
1089 1089 if SNR_1:
1090 1090 SNR += 1
1091 1091
1092 1092 SNRavg = numpy.average(SNR, axis=0)
1093 1093
1094 1094 SNRdB = 10*numpy.log10(SNR)
1095 1095 SNRavgdB = 10*numpy.log10(SNRavg)
1096 1096
1097 1097 ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0]
1098 1098
1099 1099 for i in range(nplotsw):
1100 1100 z[i,ind] = numpy.nan
1101 1101
1102 1102
1103 1103 showprofile = False
1104 1104 # thisDatetime = dataOut.datatime
1105 1105 thisDatetime = datetime.datetime.utcfromtimestamp(x[1])
1106 1106 title = wintitle + " EW Drifts"
1107 1107 xlabel = ""
1108 1108 ylabel = "Height (Km)"
1109 1109
1110 1110 if not self.__isConfig:
1111 1111
1112 1112 self.setup(id=id,
1113 1113 nplots=nplots,
1114 1114 wintitle=wintitle,
1115 1115 showprofile=showprofile,
1116 1116 show=show)
1117 1117
1118 1118 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
1119 1119
1120 1120 if ymin == None: ymin = numpy.nanmin(y)
1121 1121 if ymax == None: ymax = numpy.nanmax(y)
1122 1122
1123 1123 if zmaxZonal == None: zmaxZonal = numpy.nanmax(abs(z[0,:]))
1124 1124 if zminZonal == None: zminZonal = -zmaxZonal
1125 1125 if zmaxVertical == None: zmaxVertical = numpy.nanmax(abs(z[1,:]))
1126 1126 if zminVertical == None: zminVertical = -zmaxVertical
1127 1127
1128 1128 if dataOut.data_SNR is not None:
1129 1129 if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB)
1130 1130 if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB)
1131 1131
1132 1132 self.FTP_WEI = ftp_wei
1133 1133 self.EXP_CODE = exp_code
1134 1134 self.SUB_EXP_CODE = sub_exp_code
1135 1135 self.PLOT_POS = plot_pos
1136 1136
1137 1137 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
1138 1138 self.__isConfig = True
1139 1139
1140 1140
1141 1141 self.setWinTitle(title)
1142 1142
1143 1143 if ((self.xmax - x[1]) < (x[1]-x[0])):
1144 1144 x[1] = self.xmax
1145 1145
1146 1146 strWind = ['Zonal','Vertical']
1147 1147 strCb = 'Velocity (m/s)'
1148 1148 zmaxVector = [zmaxZonal, zmaxVertical]
1149 1149 zminVector = [zminZonal, zminVertical]
1150 1150
1151 1151 for i in range(nplotsw):
1152 1152
1153 1153 title = "%s Drifts: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1154 1154 axes = self.axesList[i*self.__nsubplots]
1155 1155
1156 1156 z1 = z[i,:].reshape((1,-1))
1157 1157
1158 1158 axes.pcolorbuffer(x, y, z1,
1159 1159 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i],
1160 1160 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
1161 1161 ticksize=9, cblabel=strCb, cbsize="1%", colormap="RdBu_r")
1162 1162
1163 1163 if dataOut.data_SNR is not None:
1164 1164 i += 1
1165 1165 if SNR_1:
1166 1166 title = "Signal Noise Ratio + 1 (SNR+1): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1167 1167 else:
1168 1168 title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1169 1169 axes = self.axesList[i*self.__nsubplots]
1170 1170 SNRavgdB = SNRavgdB.reshape((1,-1))
1171 1171
1172 1172 axes.pcolorbuffer(x, y, SNRavgdB,
1173 1173 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
1174 1174 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
1175 1175 ticksize=9, cblabel='', cbsize="1%", colormap="jet")
1176 1176
1177 1177 self.draw()
1178 1178
1179 1179 if x[1] >= self.axesList[0].xmax:
1180 1180 self.counter_imagwr = wr_period
1181 1181 self.__isConfig = False
1182 1182 self.figfile = None
1183 1183
1184 1184
1185 1185
1186 1186
1187 1187 class PhasePlot(Figure):
1188 1188
1189 1189 __isConfig = None
1190 1190 __nsubplots = None
1191 1191
1192 1192 PREFIX = 'mphase'
1193 1193
1194 1194 def __init__(self):
1195 1195
1196 1196 self.timerange = 24*60*60
1197 1197 self.__isConfig = False
1198 1198 self.__nsubplots = 1
1199 1199 self.counter_imagwr = 0
1200 1200 self.WIDTH = 600
1201 1201 self.HEIGHT = 300
1202 1202 self.WIDTHPROF = 120
1203 1203 self.HEIGHTPROF = 0
1204 1204 self.xdata = None
1205 1205 self.ydata = None
1206 1206
1207 1207 self.PLOT_CODE = MPHASE_CODE
1208 1208
1209 1209 self.FTP_WEI = None
1210 1210 self.EXP_CODE = None
1211 1211 self.SUB_EXP_CODE = None
1212 1212 self.PLOT_POS = None
1213 1213
1214 1214
1215 1215 self.filename_phase = None
1216 1216
1217 1217 self.figfile = None
1218 1218
1219 1219 def getSubplots(self):
1220 1220
1221 1221 ncol = 1
1222 1222 nrow = 1
1223 1223
1224 1224 return nrow, ncol
1225 1225
1226 1226 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
1227 1227
1228 1228 self.__showprofile = showprofile
1229 1229 self.nplots = nplots
1230 1230
1231 1231 ncolspan = 7
1232 1232 colspan = 6
1233 1233 self.__nsubplots = 2
1234 1234
1235 1235 self.createFigure(id = id,
1236 1236 wintitle = wintitle,
1237 1237 widthplot = self.WIDTH+self.WIDTHPROF,
1238 1238 heightplot = self.HEIGHT+self.HEIGHTPROF,
1239 1239 show=show)
1240 1240
1241 1241 nrow, ncol = self.getSubplots()
1242 1242
1243 1243 self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1)
1244 1244
1245 1245
1246 1246 def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True',
1247 1247 xmin=None, xmax=None, ymin=None, ymax=None,
1248 1248 timerange=None,
1249 1249 save=False, figpath='', figfile=None, show=True, ftp=False, wr_period=1,
1250 1250 server=None, folder=None, username=None, password=None,
1251 1251 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
1252 1252
1253 1253
1254 1254 tmin = None
1255 1255 tmax = None
1256 1256 x = dataOut.getTimeRange1()
1257 1257 y = dataOut.getHeiRange()
1258 1258
1259 1259
1260 1260 #thisDatetime = dataOut.datatime
1261 1261 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
1262 1262 title = wintitle + " Phase of Beacon Signal" # : %s" %(thisDatetime.strftime("%d-%b-%Y"))
1263 1263 xlabel = "Local Time"
1264 1264 ylabel = "Phase"
1265 1265
1266 1266
1267 1267 #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList)))
1268 1268 phase_beacon = dataOut.data_output
1269 1269
1270 1270
1271 1271 if not self.__isConfig:
1272 1272
1273 1273 self.nplots = phase_beacon.size
1274 1274
1275 1275 self.setup(id=id,
1276 1276 nplots=self.nplots,
1277 1277 wintitle=wintitle,
1278 1278 showprofile=showprofile,
1279 1279 show=show)
1280 1280
1281 1281 if timerange is not None:
1282 1282 self.timerange = timerange
1283 1283
1284 1284 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
1285 1285
1286 1286 if ymin == None: ymin = numpy.nanmin(phase_beacon) - 10.0
1287 1287 if ymax == None: ymax = numpy.nanmax(phase_beacon) + 10.0
1288 1288
1289 1289 self.FTP_WEI = ftp_wei
1290 1290 self.EXP_CODE = exp_code
1291 1291 self.SUB_EXP_CODE = sub_exp_code
1292 1292 self.PLOT_POS = plot_pos
1293 1293
1294 1294 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
1295 1295 self.__isConfig = True
1296 1296 self.figfile = figfile
1297 1297 self.xdata = numpy.array([])
1298 1298 self.ydata = numpy.array([])
1299 1299
1300 1300 #open file beacon phase
1301 1301 path = '%s%03d' %(self.PREFIX, self.id)
1302 1302 beacon_file = os.path.join(path,'%s.txt'%self.name)
1303 1303 self.filename_phase = os.path.join(figpath,beacon_file)
1304 1304 #self.save_phase(self.filename_phase)
1305 1305
1306 1306
1307 1307 #store data beacon phase
1308 1308 #self.save_data(self.filename_phase, phase_beacon, thisDatetime)
1309 1309
1310 1310 self.setWinTitle(title)
1311 1311
1312 1312
1313 1313 title = "Phase Offset %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1314 1314
1315 1315 legendlabels = ["phase %d"%(chan) for chan in numpy.arange(self.nplots)]
1316 1316
1317 1317 axes = self.axesList[0]
1318 1318
1319 1319 self.xdata = numpy.hstack((self.xdata, x[0:1]))
1320 1320
1321 1321 if len(self.ydata)==0:
1322 1322 self.ydata = phase_beacon.reshape(-1,1)
1323 1323 else:
1324 1324 self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1)))
1325 1325
1326 1326
1327 1327 axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
1328 1328 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax,
1329 1329 xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid",
1330 1330 XAxisAsTime=True, grid='both'
1331 1331 )
1332 1332
1333 1333 self.draw()
1334 1334
1335 1335 if x[1] >= self.axesList[0].xmax:
1336 1336 self.counter_imagwr = wr_period
1337 1337 del self.xdata
1338 1338 del self.ydata
1339 1339 self.__isConfig = False
1340 1340
1341 1341 if self.figfile == None:
1342 1342 str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
1343 1343 self.figfile = self.getFilename(name = str_datetime)
1344 1344
1345 1345 if figpath != '':
1346 1346 self.counter_imagwr += 1
1347 1347 if (self.counter_imagwr>=wr_period):
1348 1348 # store png plot to local folder
1349 1349 self.saveFigure(figpath, self.figfile)
1350 1350 # store png plot to FTP server according to RT-Web format
1351 1351 name = self.getNameToFtp(thisDatetime, self.FTP_WEI, self.EXP_CODE, self.SUB_EXP_CODE, self.PLOT_CODE, self.PLOT_POS)
1352 1352 ftp_filename = os.path.join(figpath, name)
1353 1353 self.saveFigure(figpath, ftp_filename)
1354 1354 self.counter_imagwr = 0
1355 1355 self.figfile = None
1356 1356
1357 1357 self.save(figpath=figpath,
1358 1358 figfile=figfile,
1359 1359 save=save,
1360 1360 ftp=ftp,
1361 1361 wr_period=wr_period,
1362 1362 thisDatetime=thisDatetime,
1363 1363 update_figfile=False)
Show file before | Show file after | Hide comments
@@ -1,1334 +1,1334
1 1 '''
2 2 Created on Jul 9, 2014
3 3
4 4 @author: roj-idl71
5 5 '''
6 6 import os
7 7 import datetime
8 8 import numpy
9 9
10 10 from figure import Figure, isRealtime
11 11 from plotting_codes import *
12 12
13 13 class SpectraPlot(Figure):
14 14
15 15 isConfig = None
16 16 __nsubplots = None
17 17
18 18 WIDTHPROF = None
19 19 HEIGHTPROF = None
20 20 PREFIX = 'spc'
21 21
22 22 def __init__(self):
23 23
24 24 self.isConfig = False
25 25 self.__nsubplots = 1
26 26
27 27 self.WIDTH = 280
28 28 self.HEIGHT = 250
29 29 self.WIDTHPROF = 120
30 30 self.HEIGHTPROF = 0
31 31 self.counter_imagwr = 0
32 32
33 33 self.PLOT_CODE = SPEC_CODE
34 34
35 35 self.FTP_WEI = None
36 36 self.EXP_CODE = None
37 37 self.SUB_EXP_CODE = None
38 38 self.PLOT_POS = None
39 39
40 40 self.__xfilter_ena = False
41 41 self.__yfilter_ena = False
42 42
43 43 def getSubplots(self):
44 44
45 45 ncol = int(numpy.sqrt(self.nplots)+0.9)
46 46 nrow = int(self.nplots*1./ncol + 0.9)
47 47
48 48 return nrow, ncol
49 49
50 50 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
51 51
52 52 self.__showprofile = showprofile
53 53 self.nplots = nplots
54 54
55 55 ncolspan = 1
56 56 colspan = 1
57 57 if showprofile:
58 58 ncolspan = 3
59 59 colspan = 2
60 60 self.__nsubplots = 2
61 61
62 62 self.createFigure(id = id,
63 63 wintitle = wintitle,
64 64 widthplot = self.WIDTH + self.WIDTHPROF,
65 65 heightplot = self.HEIGHT + self.HEIGHTPROF,
66 66 show=show)
67 67
68 68 nrow, ncol = self.getSubplots()
69 69
70 70 counter = 0
71 71 for y in range(nrow):
72 72 for x in range(ncol):
73 73
74 74 if counter >= self.nplots:
75 75 break
76 76
77 77 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
78 78
79 79 if showprofile:
80 80 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
81 81
82 82 counter += 1
83 83
84 84 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True,
85 85 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
86 86 save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
87 87 server=None, folder=None, username=None, password=None,
88 88 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
89 89
90 90 """
91 91
92 92 Input:
93 93 dataOut :
94 94 id :
95 95 wintitle :
96 96 channelList :
97 97 showProfile :
98 98 xmin : None,
99 99 xmax : None,
100 100 ymin : None,
101 101 ymax : None,
102 102 zmin : None,
103 103 zmax : None
104 104 """
105 105
106 106 if realtime:
107 107 if not(isRealtime(utcdatatime = dataOut.utctime)):
108 108 print 'Skipping this plot function'
109 109 return
110 110
111 111 if channelList == None:
112 112 channelIndexList = dataOut.channelIndexList
113 113 else:
114 114 channelIndexList = []
115 115 for channel in channelList:
116 116 if channel not in dataOut.channelList:
117 117 raise ValueError, "Channel %d is not in dataOut.channelList"
118 118 channelIndexList.append(dataOut.channelList.index(channel))
119 119
120 120 factor = dataOut.normFactor
121 121
122 122 x = dataOut.getVelRange(1)
123 123 y = dataOut.getHeiRange()
124 124
125 125 z = dataOut.data_spc[channelIndexList,:,:]/factor
126 126 z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
127 127 zdB = 10*numpy.log10(z)
128 128
129 129 avg = numpy.average(z, axis=1)
130 130 avgdB = 10*numpy.log10(avg)
131 131
132 132 noise = dataOut.getNoise()/factor
133 133 noisedB = 10*numpy.log10(noise)
134 134
135 135 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
136 136 title = wintitle + " Spectra"
137 137 if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
138 138 title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
139 139
140 140 xlabel = "Velocity (m/s)"
141 141 ylabel = "Range (Km)"
142 142
143 143 if not self.isConfig:
144 144
145 145 nplots = len(channelIndexList)
146 146
147 147 self.setup(id=id,
148 148 nplots=nplots,
149 149 wintitle=wintitle,
150 150 showprofile=showprofile,
151 151 show=show)
152 152
153 153 if xmin == None: xmin = numpy.nanmin(x)
154 154 if xmax == None: xmax = numpy.nanmax(x)
155 155 if ymin == None: ymin = numpy.nanmin(y)
156 156 if ymax == None: ymax = numpy.nanmax(y)
157 157 if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3
158 158 if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3
159 159
160 160 self.FTP_WEI = ftp_wei
161 161 self.EXP_CODE = exp_code
162 162 self.SUB_EXP_CODE = sub_exp_code
163 163 self.PLOT_POS = plot_pos
164 164
165 165 self.isConfig = True
166 166
167 167 self.setWinTitle(title)
168 168
169 169 for i in range(self.nplots):
170 170 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
171 title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i]+1, noisedB[i], str_datetime)
171 title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i], noisedB[i], str_datetime)
172 172 if len(dataOut.beam.codeList) != 0:
173 173 title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[i]+1, noisedB[i], dataOut.beam.azimuthList[i], dataOut.beam.zenithList[i], str_datetime)
174 174
175 175 axes = self.axesList[i*self.__nsubplots]
176 176 axes.pcolor(x, y, zdB[i,:,:],
177 177 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
178 178 xlabel=xlabel, ylabel=ylabel, title=title,
179 179 ticksize=9, cblabel='')
180 180
181 181 if self.__showprofile:
182 182 axes = self.axesList[i*self.__nsubplots +1]
183 183 axes.pline(avgdB[i,:], y,
184 184 xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
185 185 xlabel='dB', ylabel='', title='',
186 186 ytick_visible=False,
187 187 grid='x')
188 188
189 189 noiseline = numpy.repeat(noisedB[i], len(y))
190 190 axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2)
191 191
192 192 self.draw()
193 193
194 194 if figfile == None:
195 195 str_datetime = thisDatetime.strftime("%Y%m%d_%H%M%S")
196 196 name = str_datetime
197 197 if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
198 198 name = name + '_az' + '_%2.2f'%(dataOut.azimuth) + '_zn' + '_%2.2f'%(dataOut.zenith)
199 199 figfile = self.getFilename(name)
200 200
201 201 self.save(figpath=figpath,
202 202 figfile=figfile,
203 203 save=save,
204 204 ftp=ftp,
205 205 wr_period=wr_period,
206 206 thisDatetime=thisDatetime)
207 207
208 208 class CrossSpectraPlot(Figure):
209 209
210 210 isConfig = None
211 211 __nsubplots = None
212 212
213 213 WIDTH = None
214 214 HEIGHT = None
215 215 WIDTHPROF = None
216 216 HEIGHTPROF = None
217 217 PREFIX = 'cspc'
218 218
219 219 def __init__(self):
220 220
221 221 self.isConfig = False
222 222 self.__nsubplots = 4
223 223 self.counter_imagwr = 0
224 224 self.WIDTH = 250
225 225 self.HEIGHT = 250
226 226 self.WIDTHPROF = 0
227 227 self.HEIGHTPROF = 0
228 228
229 229 self.PLOT_CODE = CROSS_CODE
230 230 self.FTP_WEI = None
231 231 self.EXP_CODE = None
232 232 self.SUB_EXP_CODE = None
233 233 self.PLOT_POS = None
234 234
235 235 def getSubplots(self):
236 236
237 237 ncol = 4
238 238 nrow = self.nplots
239 239
240 240 return nrow, ncol
241 241
242 242 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
243 243
244 244 self.__showprofile = showprofile
245 245 self.nplots = nplots
246 246
247 247 ncolspan = 1
248 248 colspan = 1
249 249
250 250 self.createFigure(id = id,
251 251 wintitle = wintitle,
252 252 widthplot = self.WIDTH + self.WIDTHPROF,
253 253 heightplot = self.HEIGHT + self.HEIGHTPROF,
254 254 show=True)
255 255
256 256 nrow, ncol = self.getSubplots()
257 257
258 258 counter = 0
259 259 for y in range(nrow):
260 260 for x in range(ncol):
261 261 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
262 262
263 263 counter += 1
264 264
265 265 def run(self, dataOut, id, wintitle="", pairsList=None,
266 266 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
267 267 coh_min=None, coh_max=None, phase_min=None, phase_max=None,
268 268 save=False, figpath='./', figfile=None, ftp=False, wr_period=1,
269 269 power_cmap='jet', coherence_cmap='jet', phase_cmap='RdBu_r', show=True,
270 270 server=None, folder=None, username=None, password=None,
271 271 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
272 272
273 273 """
274 274
275 275 Input:
276 276 dataOut :
277 277 id :
278 278 wintitle :
279 279 channelList :
280 280 showProfile :
281 281 xmin : None,
282 282 xmax : None,
283 283 ymin : None,
284 284 ymax : None,
285 285 zmin : None,
286 286 zmax : None
287 287 """
288 288
289 289 if pairsList == None:
290 290 pairsIndexList = dataOut.pairsIndexList
291 291 else:
292 292 pairsIndexList = []
293 293 for pair in pairsList:
294 294 if pair not in dataOut.pairsList:
295 295 raise ValueError, "Pair %s is not in dataOut.pairsList" %str(pair)
296 296 pairsIndexList.append(dataOut.pairsList.index(pair))
297 297
298 298 if not pairsIndexList:
299 299 return
300 300
301 301 if len(pairsIndexList) > 4:
302 302 pairsIndexList = pairsIndexList[0:4]
303 303
304 304 factor = dataOut.normFactor
305 305 x = dataOut.getVelRange(1)
306 306 y = dataOut.getHeiRange()
307 307 z = dataOut.data_spc[:,:,:]/factor
308 308 z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
309 309
310 310 noise = dataOut.noise/factor
311 311
312 312 zdB = 10*numpy.log10(z)
313 313 noisedB = 10*numpy.log10(noise)
314 314
315 315 if coh_min == None:
316 316 coh_min = 0.0
317 317 if coh_max == None:
318 318 coh_max = 1.0
319 319
320 320 if phase_min == None:
321 321 phase_min = -180
322 322 if phase_max == None:
323 323 phase_max = 180
324 324
325 325 #thisDatetime = dataOut.datatime
326 326 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
327 327 title = wintitle + " Cross-Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
328 328 xlabel = "Velocity (m/s)"
329 329 ylabel = "Range (Km)"
330 330
331 331 if not self.isConfig:
332 332
333 333 nplots = len(pairsIndexList)
334 334
335 335 self.setup(id=id,
336 336 nplots=nplots,
337 337 wintitle=wintitle,
338 338 showprofile=False,
339 339 show=show)
340 340
341 341 avg = numpy.abs(numpy.average(z, axis=1))
342 342 avgdB = 10*numpy.log10(avg)
343 343
344 344 if xmin == None: xmin = numpy.nanmin(x)
345 345 if xmax == None: xmax = numpy.nanmax(x)
346 346 if ymin == None: ymin = numpy.nanmin(y)
347 347 if ymax == None: ymax = numpy.nanmax(y)
348 348 if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3
349 349 if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3
350 350
351 351 self.FTP_WEI = ftp_wei
352 352 self.EXP_CODE = exp_code
353 353 self.SUB_EXP_CODE = sub_exp_code
354 354 self.PLOT_POS = plot_pos
355 355
356 356 self.isConfig = True
357 357
358 358 self.setWinTitle(title)
359 359
360 360 for i in range(self.nplots):
361 361 pair = dataOut.pairsList[pairsIndexList[i]]
362 362 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
363 363 title = "Ch%d: %4.2fdB: %s" %(pair[0], noisedB[pair[0]], str_datetime)
364 364 zdB = 10.*numpy.log10(dataOut.data_spc[pair[0],:,:]/factor)
365 365 axes0 = self.axesList[i*self.__nsubplots]
366 366 axes0.pcolor(x, y, zdB,
367 367 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
368 368 xlabel=xlabel, ylabel=ylabel, title=title,
369 369 ticksize=9, colormap=power_cmap, cblabel='')
370 370
371 371 title = "Ch%d: %4.2fdB: %s" %(pair[1], noisedB[pair[1]], str_datetime)
372 372 zdB = 10.*numpy.log10(dataOut.data_spc[pair[1],:,:]/factor)
373 373 axes0 = self.axesList[i*self.__nsubplots+1]
374 374 axes0.pcolor(x, y, zdB,
375 375 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
376 376 xlabel=xlabel, ylabel=ylabel, title=title,
377 377 ticksize=9, colormap=power_cmap, cblabel='')
378 378
379 379 coherenceComplex = dataOut.data_cspc[pairsIndexList[i],:,:]/numpy.sqrt(dataOut.data_spc[pair[0],:,:]*dataOut.data_spc[pair[1],:,:])
380 380 coherence = numpy.abs(coherenceComplex)
381 381 # phase = numpy.arctan(-1*coherenceComplex.imag/coherenceComplex.real)*180/numpy.pi
382 382 phase = numpy.arctan2(coherenceComplex.imag, coherenceComplex.real)*180/numpy.pi
383 383
384 384 title = "Coherence %d%d" %(pair[0], pair[1])
385 385 axes0 = self.axesList[i*self.__nsubplots+2]
386 386 axes0.pcolor(x, y, coherence,
387 387 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=coh_min, zmax=coh_max,
388 388 xlabel=xlabel, ylabel=ylabel, title=title,
389 389 ticksize=9, colormap=coherence_cmap, cblabel='')
390 390
391 391 title = "Phase %d%d" %(pair[0], pair[1])
392 392 axes0 = self.axesList[i*self.__nsubplots+3]
393 393 axes0.pcolor(x, y, phase,
394 394 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=phase_min, zmax=phase_max,
395 395 xlabel=xlabel, ylabel=ylabel, title=title,
396 396 ticksize=9, colormap=phase_cmap, cblabel='')
397 397
398 398
399 399
400 400 self.draw()
401 401
402 402 self.save(figpath=figpath,
403 403 figfile=figfile,
404 404 save=save,
405 405 ftp=ftp,
406 406 wr_period=wr_period,
407 407 thisDatetime=thisDatetime)
408 408
409 409
410 410 class RTIPlot(Figure):
411 411
412 412 __isConfig = None
413 413 __nsubplots = None
414 414
415 415 WIDTHPROF = None
416 416 HEIGHTPROF = None
417 417 PREFIX = 'rti'
418 418
419 419 def __init__(self):
420 420
421 421 self.timerange = None
422 422 self.__isConfig = False
423 423 self.__nsubplots = 1
424 424
425 425 self.WIDTH = 800
426 426 self.HEIGHT = 150
427 427 self.WIDTHPROF = 120
428 428 self.HEIGHTPROF = 0
429 429 self.counter_imagwr = 0
430 430
431 431 self.PLOT_CODE = RTI_CODE
432 432
433 433 self.FTP_WEI = None
434 434 self.EXP_CODE = None
435 435 self.SUB_EXP_CODE = None
436 436 self.PLOT_POS = None
437 437 self.tmin = None
438 438 self.tmax = None
439 439
440 440 self.xmin = None
441 441 self.xmax = None
442 442
443 443 self.figfile = None
444 444
445 445 def getSubplots(self):
446 446
447 447 ncol = 1
448 448 nrow = self.nplots
449 449
450 450 return nrow, ncol
451 451
452 452 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
453 453
454 454 self.__showprofile = showprofile
455 455 self.nplots = nplots
456 456
457 457 ncolspan = 1
458 458 colspan = 1
459 459 if showprofile:
460 460 ncolspan = 7
461 461 colspan = 6
462 462 self.__nsubplots = 2
463 463
464 464 self.createFigure(id = id,
465 465 wintitle = wintitle,
466 466 widthplot = self.WIDTH + self.WIDTHPROF,
467 467 heightplot = self.HEIGHT + self.HEIGHTPROF,
468 468 show=show)
469 469
470 470 nrow, ncol = self.getSubplots()
471 471
472 472 counter = 0
473 473 for y in range(nrow):
474 474 for x in range(ncol):
475 475
476 476 if counter >= self.nplots:
477 477 break
478 478
479 479 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
480 480
481 481 if showprofile:
482 482 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
483 483
484 484 counter += 1
485 485
486 486 def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True',
487 487 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
488 488 timerange=None,
489 489 save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
490 490 server=None, folder=None, username=None, password=None,
491 491 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
492 492
493 493 """
494 494
495 495 Input:
496 496 dataOut :
497 497 id :
498 498 wintitle :
499 499 channelList :
500 500 showProfile :
501 501 xmin : None,
502 502 xmax : None,
503 503 ymin : None,
504 504 ymax : None,
505 505 zmin : None,
506 506 zmax : None
507 507 """
508 508
509 509 if channelList == None:
510 510 channelIndexList = dataOut.channelIndexList
511 511 else:
512 512 channelIndexList = []
513 513 for channel in channelList:
514 514 if channel not in dataOut.channelList:
515 515 raise ValueError, "Channel %d is not in dataOut.channelList"
516 516 channelIndexList.append(dataOut.channelList.index(channel))
517 517
518 518 # if timerange != None:
519 519 # self.timerange = timerange
520 520
521 521 #tmin = None
522 522 #tmax = None
523 523 factor = dataOut.normFactor
524 524 x = dataOut.getTimeRange()
525 525 y = dataOut.getHeiRange()
526 526
527 527 z = dataOut.data_spc[channelIndexList,:,:]/factor
528 528 z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
529 529 avg = numpy.average(z, axis=1)
530 530
531 531 avgdB = 10.*numpy.log10(avg)
532 532
533 533
534 534 # thisDatetime = dataOut.datatime
535 535 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
536 536 title = wintitle + " RTI" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
537 537 xlabel = ""
538 538 ylabel = "Range (Km)"
539 539
540 540 if not self.__isConfig:
541 541
542 542 nplots = len(channelIndexList)
543 543
544 544 self.setup(id=id,
545 545 nplots=nplots,
546 546 wintitle=wintitle,
547 547 showprofile=showprofile,
548 548 show=show)
549 549
550 550 if timerange != None:
551 551 self.timerange = timerange
552 552
553 553 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
554 554
555 555 noise = dataOut.noise/factor
556 556 noisedB = 10*numpy.log10(noise)
557 557
558 558 if ymin == None: ymin = numpy.nanmin(y)
559 559 if ymax == None: ymax = numpy.nanmax(y)
560 560 if zmin == None: zmin = numpy.floor(numpy.nanmin(noisedB)) - 3
561 561 if zmax == None: zmax = numpy.ceil(numpy.nanmax(avgdB)) + 3
562 562
563 563 self.FTP_WEI = ftp_wei
564 564 self.EXP_CODE = exp_code
565 565 self.SUB_EXP_CODE = sub_exp_code
566 566 self.PLOT_POS = plot_pos
567 567
568 568 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
569 569 self.__isConfig = True
570 570 self.figfile = figfile
571 571
572 572 self.setWinTitle(title)
573 573
574 574 if ((self.xmax - x[1]) < (x[1]-x[0])):
575 575 x[1] = self.xmax
576 576
577 577 for i in range(self.nplots):
578 title = "Channel %d: %s" %(dataOut.channelList[i]+1, thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
578 title = "Channel %d: %s" %(dataOut.channelList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
579 579 if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
580 580 title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
581 581 axes = self.axesList[i*self.__nsubplots]
582 582 zdB = avgdB[i].reshape((1,-1))
583 583 axes.pcolorbuffer(x, y, zdB,
584 584 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
585 585 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
586 586 ticksize=9, cblabel='', cbsize="1%")
587 587
588 588 if self.__showprofile:
589 589 axes = self.axesList[i*self.__nsubplots +1]
590 590 axes.pline(avgdB[i], y,
591 591 xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
592 592 xlabel='dB', ylabel='', title='',
593 593 ytick_visible=False,
594 594 grid='x')
595 595
596 596 self.draw()
597 597
598 598 if x[1] >= self.axesList[0].xmax:
599 599 self.counter_imagwr = wr_period
600 600 self.__isConfig = False
601 601 self.figfile = None
602 602
603 603 self.save(figpath=figpath,
604 604 figfile=figfile,
605 605 save=save,
606 606 ftp=ftp,
607 607 wr_period=wr_period,
608 608 thisDatetime=thisDatetime,
609 609 update_figfile=False)
610 610
611 611 class CoherenceMap(Figure):
612 612 isConfig = None
613 613 __nsubplots = None
614 614
615 615 WIDTHPROF = None
616 616 HEIGHTPROF = None
617 617 PREFIX = 'cmap'
618 618
619 619 def __init__(self):
620 620 self.timerange = 2*60*60
621 621 self.isConfig = False
622 622 self.__nsubplots = 1
623 623
624 624 self.WIDTH = 800
625 625 self.HEIGHT = 150
626 626 self.WIDTHPROF = 120
627 627 self.HEIGHTPROF = 0
628 628 self.counter_imagwr = 0
629 629
630 630 self.PLOT_CODE = COH_CODE
631 631
632 632 self.FTP_WEI = None
633 633 self.EXP_CODE = None
634 634 self.SUB_EXP_CODE = None
635 635 self.PLOT_POS = None
636 636 self.counter_imagwr = 0
637 637
638 638 self.xmin = None
639 639 self.xmax = None
640 640
641 641 def getSubplots(self):
642 642 ncol = 1
643 643 nrow = self.nplots*2
644 644
645 645 return nrow, ncol
646 646
647 647 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
648 648 self.__showprofile = showprofile
649 649 self.nplots = nplots
650 650
651 651 ncolspan = 1
652 652 colspan = 1
653 653 if showprofile:
654 654 ncolspan = 7
655 655 colspan = 6
656 656 self.__nsubplots = 2
657 657
658 658 self.createFigure(id = id,
659 659 wintitle = wintitle,
660 660 widthplot = self.WIDTH + self.WIDTHPROF,
661 661 heightplot = self.HEIGHT + self.HEIGHTPROF,
662 662 show=True)
663 663
664 664 nrow, ncol = self.getSubplots()
665 665
666 666 for y in range(nrow):
667 667 for x in range(ncol):
668 668
669 669 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
670 670
671 671 if showprofile:
672 672 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
673 673
674 674 def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True',
675 675 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
676 676 timerange=None,
677 677 save=False, figpath='./', figfile=None, ftp=False, wr_period=1,
678 678 coherence_cmap='jet', phase_cmap='RdBu_r', show=True,
679 679 server=None, folder=None, username=None, password=None,
680 680 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
681 681
682 682 if pairsList == None:
683 683 pairsIndexList = dataOut.pairsIndexList
684 684 else:
685 685 pairsIndexList = []
686 686 for pair in pairsList:
687 687 if pair not in dataOut.pairsList:
688 688 raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair)
689 689 pairsIndexList.append(dataOut.pairsList.index(pair))
690 690
691 691 if pairsIndexList == []:
692 692 return
693 693
694 694 if len(pairsIndexList) > 4:
695 695 pairsIndexList = pairsIndexList[0:4]
696 696
697 697 # tmin = None
698 698 # tmax = None
699 699 x = dataOut.getTimeRange()
700 700 y = dataOut.getHeiRange()
701 701
702 702 #thisDatetime = dataOut.datatime
703 703 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
704 704 title = wintitle + " CoherenceMap" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
705 705 xlabel = ""
706 706 ylabel = "Range (Km)"
707 707
708 708 if not self.isConfig:
709 709 nplots = len(pairsIndexList)
710 710 self.setup(id=id,
711 711 nplots=nplots,
712 712 wintitle=wintitle,
713 713 showprofile=showprofile,
714 714 show=show)
715 715
716 716 if timerange != None:
717 717 self.timerange = timerange
718 718
719 719 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
720 720
721 721 if ymin == None: ymin = numpy.nanmin(y)
722 722 if ymax == None: ymax = numpy.nanmax(y)
723 723 if zmin == None: zmin = 0.
724 724 if zmax == None: zmax = 1.
725 725
726 726 self.FTP_WEI = ftp_wei
727 727 self.EXP_CODE = exp_code
728 728 self.SUB_EXP_CODE = sub_exp_code
729 729 self.PLOT_POS = plot_pos
730 730
731 731 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
732 732
733 733 self.isConfig = True
734 734
735 735 self.setWinTitle(title)
736 736
737 737 if ((self.xmax - x[1]) < (x[1]-x[0])):
738 738 x[1] = self.xmax
739 739
740 740 for i in range(self.nplots):
741 741
742 742 pair = dataOut.pairsList[pairsIndexList[i]]
743 743
744 744 ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0)
745 745 powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0)
746 746 powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0)
747 747
748 748
749 749 avgcoherenceComplex = ccf/numpy.sqrt(powa*powb)
750 750 coherence = numpy.abs(avgcoherenceComplex)
751 751
752 752 z = coherence.reshape((1,-1))
753 753
754 754 counter = 0
755 755
756 756 title = "Coherence %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
757 757 axes = self.axesList[i*self.__nsubplots*2]
758 758 axes.pcolorbuffer(x, y, z,
759 759 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
760 760 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
761 761 ticksize=9, cblabel='', colormap=coherence_cmap, cbsize="1%")
762 762
763 763 if self.__showprofile:
764 764 counter += 1
765 765 axes = self.axesList[i*self.__nsubplots*2 + counter]
766 766 axes.pline(coherence, y,
767 767 xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
768 768 xlabel='', ylabel='', title='', ticksize=7,
769 769 ytick_visible=False, nxticks=5,
770 770 grid='x')
771 771
772 772 counter += 1
773 773
774 774 phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi
775 775
776 776 z = phase.reshape((1,-1))
777 777
778 778 title = "Phase %d%d: %s" %(pair[0], pair[1], thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
779 779 axes = self.axesList[i*self.__nsubplots*2 + counter]
780 780 axes.pcolorbuffer(x, y, z,
781 781 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=-180, zmax=180,
782 782 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
783 783 ticksize=9, cblabel='', colormap=phase_cmap, cbsize="1%")
784 784
785 785 if self.__showprofile:
786 786 counter += 1
787 787 axes = self.axesList[i*self.__nsubplots*2 + counter]
788 788 axes.pline(phase, y,
789 789 xmin=-180, xmax=180, ymin=ymin, ymax=ymax,
790 790 xlabel='', ylabel='', title='', ticksize=7,
791 791 ytick_visible=False, nxticks=4,
792 792 grid='x')
793 793
794 794 self.draw()
795 795
796 796 if x[1] >= self.axesList[0].xmax:
797 797 self.counter_imagwr = wr_period
798 798 self.__isConfig = False
799 799 self.figfile = None
800 800
801 801 self.save(figpath=figpath,
802 802 figfile=figfile,
803 803 save=save,
804 804 ftp=ftp,
805 805 wr_period=wr_period,
806 806 thisDatetime=thisDatetime,
807 807 update_figfile=False)
808 808
809 809 class PowerProfilePlot(Figure):
810 810
811 811 isConfig = None
812 812 __nsubplots = None
813 813
814 814 WIDTHPROF = None
815 815 HEIGHTPROF = None
816 816 PREFIX = 'spcprofile'
817 817
818 818 def __init__(self):
819 819 self.isConfig = False
820 820 self.__nsubplots = 1
821 821
822 822 self.PLOT_CODE = POWER_CODE
823 823
824 824 self.WIDTH = 300
825 825 self.HEIGHT = 500
826 826 self.counter_imagwr = 0
827 827
828 828 def getSubplots(self):
829 829 ncol = 1
830 830 nrow = 1
831 831
832 832 return nrow, ncol
833 833
834 834 def setup(self, id, nplots, wintitle, show):
835 835
836 836 self.nplots = nplots
837 837
838 838 ncolspan = 1
839 839 colspan = 1
840 840
841 841 self.createFigure(id = id,
842 842 wintitle = wintitle,
843 843 widthplot = self.WIDTH,
844 844 heightplot = self.HEIGHT,
845 845 show=show)
846 846
847 847 nrow, ncol = self.getSubplots()
848 848
849 849 counter = 0
850 850 for y in range(nrow):
851 851 for x in range(ncol):
852 852 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
853 853
854 854 def run(self, dataOut, id, wintitle="", channelList=None,
855 855 xmin=None, xmax=None, ymin=None, ymax=None,
856 856 save=False, figpath='./', figfile=None, show=True,
857 857 ftp=False, wr_period=1, server=None,
858 858 folder=None, username=None, password=None):
859 859
860 860
861 861 if channelList == None:
862 862 channelIndexList = dataOut.channelIndexList
863 863 channelList = dataOut.channelList
864 864 else:
865 865 channelIndexList = []
866 866 for channel in channelList:
867 867 if channel not in dataOut.channelList:
868 868 raise ValueError, "Channel %d is not in dataOut.channelList"
869 869 channelIndexList.append(dataOut.channelList.index(channel))
870 870
871 871 factor = dataOut.normFactor
872 872
873 873 y = dataOut.getHeiRange()
874 874
875 875 #for voltage
876 876 if dataOut.type == 'Voltage':
877 877 x = dataOut.data[channelIndexList,:] * numpy.conjugate(dataOut.data[channelIndexList,:])
878 878 x = x.real
879 879 x = numpy.where(numpy.isfinite(x), x, numpy.NAN)
880 880
881 881 #for spectra
882 882 if dataOut.type == 'Spectra':
883 883 x = dataOut.data_spc[channelIndexList,:,:]/factor
884 884 x = numpy.where(numpy.isfinite(x), x, numpy.NAN)
885 885 x = numpy.average(x, axis=1)
886 886
887 887
888 888 xdB = 10*numpy.log10(x)
889 889
890 890 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
891 891 title = wintitle + " Power Profile %s" %(thisDatetime.strftime("%d-%b-%Y"))
892 892 xlabel = "dB"
893 893 ylabel = "Range (Km)"
894 894
895 895 if not self.isConfig:
896 896
897 897 nplots = 1
898 898
899 899 self.setup(id=id,
900 900 nplots=nplots,
901 901 wintitle=wintitle,
902 902 show=show)
903 903
904 904 if ymin == None: ymin = numpy.nanmin(y)
905 905 if ymax == None: ymax = numpy.nanmax(y)
906 906 if xmin == None: xmin = numpy.nanmin(xdB)*0.9
907 907 if xmax == None: xmax = numpy.nanmax(xdB)*1.1
908 908
909 909 self.__isConfig = True
910 910
911 911 self.setWinTitle(title)
912 912
913 913 title = "Power Profile: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
914 914 axes = self.axesList[0]
915 915
916 916 legendlabels = ["channel %d"%x for x in channelList]
917 917 axes.pmultiline(xdB, y,
918 918 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
919 919 xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels,
920 920 ytick_visible=True, nxticks=5,
921 921 grid='x')
922 922
923 923 self.draw()
924 924
925 925 self.save(figpath=figpath,
926 926 figfile=figfile,
927 927 save=save,
928 928 ftp=ftp,
929 929 wr_period=wr_period,
930 930 thisDatetime=thisDatetime)
931 931
932 932 class Noise(Figure):
933 933
934 934 isConfig = None
935 935 __nsubplots = None
936 936
937 937 PREFIX = 'noise'
938 938
939 939 def __init__(self):
940 940
941 941 self.timerange = 24*60*60
942 942 self.isConfig = False
943 943 self.__nsubplots = 1
944 944 self.counter_imagwr = 0
945 945 self.WIDTH = 600
946 946 self.HEIGHT = 300
947 947 self.WIDTHPROF = 120
948 948 self.HEIGHTPROF = 0
949 949 self.xdata = None
950 950 self.ydata = None
951 951
952 952 self.PLOT_CODE = NOISE_CODE
953 953
954 954 self.FTP_WEI = None
955 955 self.EXP_CODE = None
956 956 self.SUB_EXP_CODE = None
957 957 self.PLOT_POS = None
958 958 self.figfile = None
959 959
960 960 self.xmin = None
961 961 self.xmax = None
962 962
963 963 def getSubplots(self):
964 964
965 965 ncol = 1
966 966 nrow = 1
967 967
968 968 return nrow, ncol
969 969
970 970 def openfile(self, filename):
971 971 dirname = os.path.dirname(filename)
972 972
973 973 if not os.path.exists(dirname):
974 974 os.mkdir(dirname)
975 975
976 976 f = open(filename,'w+')
977 977 f.write('\n\n')
978 978 f.write('JICAMARCA RADIO OBSERVATORY - Noise \n')
979 979 f.write('DD MM YYYY HH MM SS Channel0 Channel1 Channel2 Channel3\n\n' )
980 980 f.close()
981 981
982 982 def save_data(self, filename_phase, data, data_datetime):
983 983
984 984 f=open(filename_phase,'a')
985 985
986 986 timetuple_data = data_datetime.timetuple()
987 987 day = str(timetuple_data.tm_mday)
988 988 month = str(timetuple_data.tm_mon)
989 989 year = str(timetuple_data.tm_year)
990 990 hour = str(timetuple_data.tm_hour)
991 991 minute = str(timetuple_data.tm_min)
992 992 second = str(timetuple_data.tm_sec)
993 993
994 994 data_msg = ''
995 995 for i in range(len(data)):
996 996 data_msg += str(data[i]) + ' '
997 997
998 998 f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' ' + data_msg + '\n')
999 999 f.close()
1000 1000
1001 1001
1002 1002 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
1003 1003
1004 1004 self.__showprofile = showprofile
1005 1005 self.nplots = nplots
1006 1006
1007 1007 ncolspan = 7
1008 1008 colspan = 6
1009 1009 self.__nsubplots = 2
1010 1010
1011 1011 self.createFigure(id = id,
1012 1012 wintitle = wintitle,
1013 1013 widthplot = self.WIDTH+self.WIDTHPROF,
1014 1014 heightplot = self.HEIGHT+self.HEIGHTPROF,
1015 1015 show=show)
1016 1016
1017 1017 nrow, ncol = self.getSubplots()
1018 1018
1019 1019 self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1)
1020 1020
1021 1021
1022 1022 def run(self, dataOut, id, wintitle="", channelList=None, showprofile='True',
1023 1023 xmin=None, xmax=None, ymin=None, ymax=None,
1024 1024 timerange=None,
1025 1025 save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
1026 1026 server=None, folder=None, username=None, password=None,
1027 1027 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
1028 1028
1029 1029 if channelList == None:
1030 1030 channelIndexList = dataOut.channelIndexList
1031 1031 channelList = dataOut.channelList
1032 1032 else:
1033 1033 channelIndexList = []
1034 1034 for channel in channelList:
1035 1035 if channel not in dataOut.channelList:
1036 1036 raise ValueError, "Channel %d is not in dataOut.channelList"
1037 1037 channelIndexList.append(dataOut.channelList.index(channel))
1038 1038
1039 1039 x = dataOut.getTimeRange()
1040 1040 #y = dataOut.getHeiRange()
1041 1041 factor = dataOut.normFactor
1042 1042 noise = dataOut.noise/factor
1043 1043 noisedB = 10*numpy.log10(noise)
1044 1044
1045 1045 #thisDatetime = dataOut.datatime
1046 1046 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
1047 1047 title = wintitle + " Noise" # : %s" %(thisDatetime.strftime("%d-%b-%Y"))
1048 1048 xlabel = ""
1049 1049 ylabel = "Intensity (dB)"
1050 1050
1051 1051 if not self.isConfig:
1052 1052
1053 1053 nplots = 1
1054 1054
1055 1055 self.setup(id=id,
1056 1056 nplots=nplots,
1057 1057 wintitle=wintitle,
1058 1058 showprofile=showprofile,
1059 1059 show=show)
1060 1060
1061 1061 if timerange != None:
1062 1062 self.timerange = timerange
1063 1063
1064 1064 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
1065 1065
1066 1066 if ymin == None: ymin = numpy.floor(numpy.nanmin(noisedB)) - 10.0
1067 1067 if ymax == None: ymax = numpy.nanmax(noisedB) + 10.0
1068 1068
1069 1069 self.FTP_WEI = ftp_wei
1070 1070 self.EXP_CODE = exp_code
1071 1071 self.SUB_EXP_CODE = sub_exp_code
1072 1072 self.PLOT_POS = plot_pos
1073 1073
1074 1074
1075 1075 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
1076 1076 self.isConfig = True
1077 1077 self.figfile = figfile
1078 1078 self.xdata = numpy.array([])
1079 1079 self.ydata = numpy.array([])
1080 1080
1081 1081 #open file beacon phase
1082 1082 path = '%s%03d' %(self.PREFIX, self.id)
1083 1083 noise_file = os.path.join(path,'%s.txt'%self.name)
1084 1084 self.filename_noise = os.path.join(figpath,noise_file)
1085 1085
1086 1086 self.setWinTitle(title)
1087 1087
1088 1088
1089 1089 title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1090 1090
1091 legendlabels = ["channel %d"%(idchannel+1) for idchannel in channelList]
1091 legendlabels = ["channel %d"%(idchannel) for idchannel in channelList]
1092 1092 axes = self.axesList[0]
1093 1093
1094 1094 self.xdata = numpy.hstack((self.xdata, x[0:1]))
1095 1095
1096 1096 if len(self.ydata)==0:
1097 1097 self.ydata = noisedB[channelIndexList].reshape(-1,1)
1098 1098 else:
1099 1099 self.ydata = numpy.hstack((self.ydata, noisedB[channelIndexList].reshape(-1,1)))
1100 1100
1101 1101
1102 1102 axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
1103 1103 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax,
1104 1104 xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid",
1105 1105 XAxisAsTime=True, grid='both'
1106 1106 )
1107 1107
1108 1108 self.draw()
1109 1109
1110 1110 if x[1] >= self.axesList[0].xmax:
1111 1111 self.counter_imagwr = wr_period
1112 1112 del self.xdata
1113 1113 del self.ydata
1114 1114 self.__isConfig = False
1115 1115 self.figfile = None
1116 1116
1117 1117 self.save(figpath=figpath,
1118 1118 figfile=figfile,
1119 1119 save=save,
1120 1120 ftp=ftp,
1121 1121 wr_period=wr_period,
1122 1122 thisDatetime=thisDatetime,
1123 1123 update_figfile=False)
1124 1124
1125 1125 #store data beacon phase
1126 1126 if save:
1127 1127 self.save_data(self.filename_noise, noisedB, thisDatetime)
1128 1128
1129 1129 class BeaconPhase(Figure):
1130 1130
1131 1131 __isConfig = None
1132 1132 __nsubplots = None
1133 1133
1134 1134 PREFIX = 'beacon_phase'
1135 1135
1136 1136 def __init__(self):
1137 1137
1138 1138 self.timerange = 24*60*60
1139 1139 self.__isConfig = False
1140 1140 self.__nsubplots = 1
1141 1141 self.counter_imagwr = 0
1142 1142 self.WIDTH = 600
1143 1143 self.HEIGHT = 300
1144 1144 self.WIDTHPROF = 120
1145 1145 self.HEIGHTPROF = 0
1146 1146 self.xdata = None
1147 1147 self.ydata = None
1148 1148
1149 1149 self.PLOT_CODE = BEACON_CODE
1150 1150
1151 1151 self.FTP_WEI = None
1152 1152 self.EXP_CODE = None
1153 1153 self.SUB_EXP_CODE = None
1154 1154 self.PLOT_POS = None
1155 1155
1156 1156 self.filename_phase = None
1157 1157
1158 1158 self.figfile = None
1159 1159
1160 1160 self.xmin = None
1161 1161 self.xmax = None
1162 1162
1163 1163 def getSubplots(self):
1164 1164
1165 1165 ncol = 1
1166 1166 nrow = 1
1167 1167
1168 1168 return nrow, ncol
1169 1169
1170 1170 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
1171 1171
1172 1172 self.__showprofile = showprofile
1173 1173 self.nplots = nplots
1174 1174
1175 1175 ncolspan = 7
1176 1176 colspan = 6
1177 1177 self.__nsubplots = 2
1178 1178
1179 1179 self.createFigure(id = id,
1180 1180 wintitle = wintitle,
1181 1181 widthplot = self.WIDTH+self.WIDTHPROF,
1182 1182 heightplot = self.HEIGHT+self.HEIGHTPROF,
1183 1183 show=show)
1184 1184
1185 1185 nrow, ncol = self.getSubplots()
1186 1186
1187 1187 self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1)
1188 1188
1189 1189 def save_phase(self, filename_phase):
1190 1190 f = open(filename_phase,'w+')
1191 1191 f.write('\n\n')
1192 1192 f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n')
1193 1193 f.write('DD MM YYYY HH MM SS pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' )
1194 1194 f.close()
1195 1195
1196 1196 def save_data(self, filename_phase, data, data_datetime):
1197 1197 f=open(filename_phase,'a')
1198 1198 timetuple_data = data_datetime.timetuple()
1199 1199 day = str(timetuple_data.tm_mday)
1200 1200 month = str(timetuple_data.tm_mon)
1201 1201 year = str(timetuple_data.tm_year)
1202 1202 hour = str(timetuple_data.tm_hour)
1203 1203 minute = str(timetuple_data.tm_min)
1204 1204 second = str(timetuple_data.tm_sec)
1205 1205 f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n')
1206 1206 f.close()
1207 1207
1208 1208
1209 1209 def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True',
1210 1210 xmin=None, xmax=None, ymin=None, ymax=None,
1211 1211 timerange=None,
1212 1212 save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
1213 1213 server=None, folder=None, username=None, password=None,
1214 1214 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
1215 1215
1216 1216 if pairsList == None:
1217 1217 pairsIndexList = dataOut.pairsIndexList
1218 1218 else:
1219 1219 pairsIndexList = []
1220 1220 for pair in pairsList:
1221 1221 if pair not in dataOut.pairsList:
1222 1222 raise ValueError, "Pair %s is not in dataOut.pairsList" %(pair)
1223 1223 pairsIndexList.append(dataOut.pairsList.index(pair))
1224 1224
1225 1225 if pairsIndexList == []:
1226 1226 return
1227 1227
1228 1228 # if len(pairsIndexList) > 4:
1229 1229 # pairsIndexList = pairsIndexList[0:4]
1230 1230
1231 1231 x = dataOut.getTimeRange()
1232 1232 #y = dataOut.getHeiRange()
1233 1233
1234 1234
1235 1235 #thisDatetime = dataOut.datatime
1236 1236 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
1237 1237 title = wintitle + " Phase of Beacon Signal" # : %s" %(thisDatetime.strftime("%d-%b-%Y"))
1238 1238 xlabel = "Local Time"
1239 1239 ylabel = "Phase"
1240 1240
1241 1241 nplots = len(pairsIndexList)
1242 1242 #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList)))
1243 1243 phase_beacon = numpy.zeros(len(pairsIndexList))
1244 1244 for i in range(nplots):
1245 1245 pair = dataOut.pairsList[pairsIndexList[i]]
1246 1246 ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i],:,:],axis=0)
1247 1247 powa = numpy.average(dataOut.data_spc[pair[0],:,:],axis=0)
1248 1248 powb = numpy.average(dataOut.data_spc[pair[1],:,:],axis=0)
1249 1249 avgcoherenceComplex = ccf/numpy.sqrt(powa*powb)
1250 1250 phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi
1251 1251
1252 1252 #print "Phase %d%d" %(pair[0], pair[1])
1253 1253 #print phase[dataOut.beacon_heiIndexList]
1254 1254
1255 1255 phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList])
1256 1256
1257 1257 if not self.__isConfig:
1258 1258
1259 1259 nplots = len(pairsIndexList)
1260 1260
1261 1261 self.setup(id=id,
1262 1262 nplots=nplots,
1263 1263 wintitle=wintitle,
1264 1264 showprofile=showprofile,
1265 1265 show=show)
1266 1266
1267 1267 if timerange != None:
1268 1268 self.timerange = timerange
1269 1269
1270 1270 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
1271 1271
1272 1272 if ymin == None: ymin = numpy.nanmin(phase_beacon) - 10.0
1273 1273 if ymax == None: ymax = numpy.nanmax(phase_beacon) + 10.0
1274 1274
1275 1275 self.FTP_WEI = ftp_wei
1276 1276 self.EXP_CODE = exp_code
1277 1277 self.SUB_EXP_CODE = sub_exp_code
1278 1278 self.PLOT_POS = plot_pos
1279 1279
1280 1280 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
1281 1281 self.__isConfig = True
1282 1282 self.figfile = figfile
1283 1283 self.xdata = numpy.array([])
1284 1284 self.ydata = numpy.array([])
1285 1285
1286 1286 #open file beacon phase
1287 1287 path = '%s%03d' %(self.PREFIX, self.id)
1288 1288 beacon_file = os.path.join(path,'%s.txt'%self.name)
1289 1289 self.filename_phase = os.path.join(figpath,beacon_file)
1290 1290 #self.save_phase(self.filename_phase)
1291 1291
1292 1292
1293 1293 #store data beacon phase
1294 1294 #self.save_data(self.filename_phase, phase_beacon, thisDatetime)
1295 1295
1296 1296 self.setWinTitle(title)
1297 1297
1298 1298
1299 1299 title = "Beacon Signal %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1300 1300
1301 1301 legendlabels = ["pairs %d%d"%(pair[0], pair[1]) for pair in dataOut.pairsList]
1302 1302
1303 1303 axes = self.axesList[0]
1304 1304
1305 1305 self.xdata = numpy.hstack((self.xdata, x[0:1]))
1306 1306
1307 1307 if len(self.ydata)==0:
1308 1308 self.ydata = phase_beacon.reshape(-1,1)
1309 1309 else:
1310 1310 self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1)))
1311 1311
1312 1312
1313 1313 axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
1314 1314 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax,
1315 1315 xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid",
1316 1316 XAxisAsTime=True, grid='both'
1317 1317 )
1318 1318
1319 1319 self.draw()
1320 1320
1321 1321 if x[1] >= self.axesList[0].xmax:
1322 1322 self.counter_imagwr = wr_period
1323 1323 del self.xdata
1324 1324 del self.ydata
1325 1325 self.__isConfig = False
1326 1326 self.figfile = None
1327 1327
1328 1328 self.save(figpath=figpath,
1329 1329 figfile=figfile,
1330 1330 save=save,
1331 1331 ftp=ftp,
1332 1332 wr_period=wr_period,
1333 1333 thisDatetime=thisDatetime,
1334 1334 update_figfile=False)
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