##// END OF EJS Templates
schain-jc
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Bug fixed
Ivan Valdez -
r797:4f6f55491fdc
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@@ -1,1373 +1,1373
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 update_figfile = False
135 135
136 136 if not self.isConfig:
137 137
138 138 nplots = len(channelIndexList)
139 139
140 140 self.setup(id=id,
141 141 nplots=nplots,
142 142 wintitle=wintitle,
143 143 showprofile=showprofile,
144 144 show=show)
145 145
146 146 if xmin == None: xmin = numpy.nanmin(x)
147 147 if xmax == None: xmax = numpy.nanmax(x)
148 148 if ymin == None: ymin = numpy.nanmin(y)
149 149 if ymax == None: ymax = numpy.nanmax(y)
150 150 if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
151 151 if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
152 152
153 153 self.FTP_WEI = ftp_wei
154 154 self.EXP_CODE = exp_code
155 155 self.SUB_EXP_CODE = sub_exp_code
156 156 self.PLOT_POS = plot_pos
157 157
158 158 self.isConfig = True
159 159 update_figfile = True
160 160
161 161 self.setWinTitle(title)
162 162
163 163 for i in range(self.nplots):
164 164 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
165 165 title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i], noisedB[i], str_datetime)
166 166 axes = self.axesList[i*self.__nsubplots]
167 167 axes.pcolor(x, y, zdB[i,:,:],
168 168 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
169 169 xlabel=xlabel, ylabel=ylabel, title=title,
170 170 ticksize=9, cblabel='')
171 171 #Mean Line
172 172 mean = dataOut.data_param[i, 1, :]
173 173 axes.addpline(mean, y, idline=0, color="black", linestyle="solid", lw=1)
174 174
175 175 if self.__showprofile:
176 176 axes = self.axesList[i*self.__nsubplots +1]
177 177 axes.pline(avgdB[i], y,
178 178 xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
179 179 xlabel='dB', ylabel='', title='',
180 180 ytick_visible=False,
181 181 grid='x')
182 182
183 183 noiseline = numpy.repeat(noisedB[i], len(y))
184 184 axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2)
185 185
186 186 self.draw()
187 187
188 188 self.save(figpath=figpath,
189 189 figfile=figfile,
190 190 save=save,
191 191 ftp=ftp,
192 192 wr_period=wr_period,
193 193 thisDatetime=thisDatetime)
194 194
195 195
196 196
197 197 class SkyMapPlot(Figure):
198 198
199 199 __isConfig = None
200 200 __nsubplots = None
201 201
202 202 WIDTHPROF = None
203 203 HEIGHTPROF = None
204 204 PREFIX = 'mmap'
205 205
206 206 def __init__(self):
207 207
208 208 self.isConfig = False
209 209 self.__nsubplots = 1
210 210
211 211 # self.WIDTH = 280
212 212 # self.HEIGHT = 250
213 213 self.WIDTH = 600
214 214 self.HEIGHT = 600
215 215 self.WIDTHPROF = 120
216 216 self.HEIGHTPROF = 0
217 217 self.counter_imagwr = 0
218 218
219 219 self.PLOT_CODE = MSKYMAP_CODE
220 220
221 221 self.FTP_WEI = None
222 222 self.EXP_CODE = None
223 223 self.SUB_EXP_CODE = None
224 224 self.PLOT_POS = None
225 225
226 226 def getSubplots(self):
227 227
228 228 ncol = int(numpy.sqrt(self.nplots)+0.9)
229 229 nrow = int(self.nplots*1./ncol + 0.9)
230 230
231 231 return nrow, ncol
232 232
233 233 def setup(self, id, nplots, wintitle, showprofile=False, show=True):
234 234
235 235 self.__showprofile = showprofile
236 236 self.nplots = nplots
237 237
238 238 ncolspan = 1
239 239 colspan = 1
240 240
241 241 self.createFigure(id = id,
242 242 wintitle = wintitle,
243 243 widthplot = self.WIDTH, #+ self.WIDTHPROF,
244 244 heightplot = self.HEIGHT,# + self.HEIGHTPROF,
245 245 show=show)
246 246
247 247 nrow, ncol = 1,1
248 248 counter = 0
249 249 x = 0
250 250 y = 0
251 251 self.addAxes(1, 1, 0, 0, 1, 1, True)
252 252
253 253 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False,
254 254 tmin=None, tmax=None, timerange=None,
255 255 save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
256 256 server=None, folder=None, username=None, password=None,
257 257 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
258 258
259 259 """
260 260
261 261 Input:
262 262 dataOut :
263 263 id :
264 264 wintitle :
265 265 channelList :
266 266 showProfile :
267 267 xmin : None,
268 268 xmax : None,
269 269 ymin : None,
270 270 ymax : None,
271 271 zmin : None,
272 272 zmax : None
273 273 """
274 274
275 275 arrayParameters = dataOut.data_param[0,:]
276 276 error = arrayParameters[:,-1]
277 277 indValid = numpy.where(error == 0)[0]
278 278 finalMeteor = arrayParameters[indValid,:]
279 279 finalAzimuth = finalMeteor[:,4]
280 280 finalZenith = finalMeteor[:,5]
281 281
282 282 x = finalAzimuth*numpy.pi/180
283 283 y = finalZenith
284 284 x1 = dataOut.getTimeRange()
285 285
286 286 #thisDatetime = dataOut.datatime
287 287 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
288 288 title = wintitle + " Parameters"
289 289 xlabel = "Zonal Zenith Angle (deg) "
290 290 ylabel = "Meridional Zenith Angle (deg)"
291 291 update_figfile = False
292 292
293 293 if not self.isConfig:
294 294
295 295 nplots = 1
296 296
297 297 self.setup(id=id,
298 298 nplots=nplots,
299 299 wintitle=wintitle,
300 300 showprofile=showprofile,
301 301 show=show)
302 302
303 303 if self.xmin is None and self.xmax is None:
304 304 self.xmin, self.xmax = self.getTimeLim(x1, tmin, tmax, timerange)
305 305
306 306 if timerange != None:
307 307 self.timerange = timerange
308 308 else:
309 309 self.timerange = self.xmax - self.xmin
310 310
311 311 self.FTP_WEI = ftp_wei
312 312 self.EXP_CODE = exp_code
313 313 self.SUB_EXP_CODE = sub_exp_code
314 314 self.PLOT_POS = plot_pos
315 315 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
316 316 self.firstdate = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
317 317 self.isConfig = True
318 318 update_figfile = True
319 319
320 320 self.setWinTitle(title)
321 321
322 322 i = 0
323 323 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
324 324
325 325 axes = self.axesList[i*self.__nsubplots]
326 326 nevents = axes.x_buffer.shape[0] + x.shape[0]
327 327 title = "Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n" %(self.firstdate,str_datetime,nevents)
328 328 axes.polar(x, y,
329 329 title=title, xlabel=xlabel, ylabel=ylabel,
330 330 ticksize=9, cblabel='')
331 331
332 332 self.draw()
333 333
334 334 self.save(figpath=figpath,
335 335 figfile=figfile,
336 336 save=save,
337 337 ftp=ftp,
338 338 wr_period=wr_period,
339 339 thisDatetime=thisDatetime,
340 340 update_figfile=update_figfile)
341 341
342 342 if dataOut.ltctime >= self.xmax:
343 self.isConfigmagwr = wr_period
343 self.isConfigmagwr = wr_period
344 344 self.isConfig = False
345 345 update_figfile = True
346 346 axes.__firsttime = True
347 347 self.xmin += self.timerange
348 348 self.xmax += self.timerange
349 349
350 350
351 351
352 352
353 353 class WindProfilerPlot(Figure):
354 354
355 355 __isConfig = None
356 356 __nsubplots = None
357 357
358 358 WIDTHPROF = None
359 359 HEIGHTPROF = None
360 360 PREFIX = 'wind'
361 361
362 362 def __init__(self):
363 363
364 364 self.timerange = None
365 365 self.isConfig = False
366 366 self.__nsubplots = 1
367 367
368 368 self.WIDTH = 800
369 369 self.HEIGHT = 150
370 370 self.WIDTHPROF = 120
371 371 self.HEIGHTPROF = 0
372 372 self.counter_imagwr = 0
373 373
374 374 self.PLOT_CODE = WIND_CODE
375 375
376 376 self.FTP_WEI = None
377 377 self.EXP_CODE = None
378 378 self.SUB_EXP_CODE = None
379 379 self.PLOT_POS = None
380 380 self.tmin = None
381 381 self.tmax = None
382 382
383 383 self.xmin = None
384 384 self.xmax = None
385 385
386 386 self.figfile = None
387 387
388 388 def getSubplots(self):
389 389
390 390 ncol = 1
391 391 nrow = self.nplots
392 392
393 393 return nrow, ncol
394 394
395 395 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
396 396
397 397 self.__showprofile = showprofile
398 398 self.nplots = nplots
399 399
400 400 ncolspan = 1
401 401 colspan = 1
402 402
403 403 self.createFigure(id = id,
404 404 wintitle = wintitle,
405 405 widthplot = self.WIDTH + self.WIDTHPROF,
406 406 heightplot = self.HEIGHT + self.HEIGHTPROF,
407 407 show=show)
408 408
409 409 nrow, ncol = self.getSubplots()
410 410
411 411 counter = 0
412 412 for y in range(nrow):
413 413 if counter >= self.nplots:
414 414 break
415 415
416 416 self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1)
417 417 counter += 1
418 418
419 419 def run(self, dataOut, id, wintitle="", channelList=None, showprofile='False',
420 420 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
421 421 zmax_ver = None, zmin_ver = None, SNRmin = None, SNRmax = None,
422 422 timerange=None, SNRthresh = None,
423 423 save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
424 424 server=None, folder=None, username=None, password=None,
425 425 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
426 426 """
427 427
428 428 Input:
429 429 dataOut :
430 430 id :
431 431 wintitle :
432 432 channelList :
433 433 showProfile :
434 434 xmin : None,
435 435 xmax : None,
436 436 ymin : None,
437 437 ymax : None,
438 438 zmin : None,
439 439 zmax : None
440 440 """
441 441
442 442 if channelList == None:
443 443 channelIndexList = dataOut.channelIndexList
444 444 else:
445 445 channelIndexList = []
446 446 for channel in channelList:
447 447 if channel not in dataOut.channelList:
448 448 raise ValueError, "Channel %d is not in dataOut.channelList"
449 449 channelIndexList.append(dataOut.channelList.index(channel))
450 450
451 451 # if timerange is not None:
452 452 # self.timerange = timerange
453 453 #
454 454 # tmin = None
455 455 # tmax = None
456 456
457 457 x = dataOut.getTimeRange1()
458 458 # y = dataOut.heightList
459 459 y = dataOut.heightList
460 460
461 461 z = dataOut.data_output.copy()
462 462 nplots = z.shape[0] #Number of wind dimensions estimated
463 463 nplotsw = nplots
464 464
465 465 #If there is a SNR function defined
466 466 if dataOut.data_SNR is not None:
467 467 nplots += 1
468 468 SNR = dataOut.data_SNR
469 469 SNRavg = numpy.average(SNR, axis=0)
470 470
471 471 SNRdB = 10*numpy.log10(SNR)
472 472 SNRavgdB = 10*numpy.log10(SNRavg)
473 473
474 474 if SNRthresh == None: SNRthresh = -5.0
475 475 ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0]
476 476
477 477 for i in range(nplotsw):
478 478 z[i,ind] = numpy.nan
479 479
480 480
481 481 # showprofile = False
482 482 # thisDatetime = dataOut.datatime
483 483 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
484 484 title = wintitle + "Wind"
485 485 xlabel = ""
486 486 ylabel = "Range (Km)"
487 487 update_figfile = False
488 488
489 489 if not self.isConfig:
490 490
491 491 self.setup(id=id,
492 492 nplots=nplots,
493 493 wintitle=wintitle,
494 494 showprofile=showprofile,
495 495 show=show)
496 496
497 497 if timerange is not None:
498 498 self.timerange = timerange
499 499
500 500 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
501 501
502 502 if ymin == None: ymin = numpy.nanmin(y)
503 503 if ymax == None: ymax = numpy.nanmax(y)
504 504
505 505 if zmax == None: zmax = numpy.nanmax(abs(z[range(2),:]))
506 506 #if numpy.isnan(zmax): zmax = 50
507 507 if zmin == None: zmin = -zmax
508 508
509 509 if nplotsw == 3:
510 510 if zmax_ver == None: zmax_ver = numpy.nanmax(abs(z[2,:]))
511 511 if zmin_ver == None: zmin_ver = -zmax_ver
512 512
513 513 if dataOut.data_SNR is not None:
514 514 if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB)
515 515 if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB)
516 516
517 517
518 518 self.FTP_WEI = ftp_wei
519 519 self.EXP_CODE = exp_code
520 520 self.SUB_EXP_CODE = sub_exp_code
521 521 self.PLOT_POS = plot_pos
522 522
523 523 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
524 524 self.isConfig = True
525 525 self.figfile = figfile
526 526 update_figfile = True
527 527
528 528 self.setWinTitle(title)
529 529
530 530 if ((self.xmax - x[1]) < (x[1]-x[0])):
531 531 x[1] = self.xmax
532 532
533 533 strWind = ['Zonal', 'Meridional', 'Vertical']
534 534 strCb = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)']
535 535 zmaxVector = [zmax, zmax, zmax_ver]
536 536 zminVector = [zmin, zmin, zmin_ver]
537 537 windFactor = [1,1,100]
538 538
539 539 for i in range(nplotsw):
540 540
541 541 title = "%s Wind: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
542 542 axes = self.axesList[i*self.__nsubplots]
543 543
544 544 z1 = z[i,:].reshape((1,-1))*windFactor[i]
545 545
546 546 axes.pcolorbuffer(x, y, z1,
547 547 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i],
548 548 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
549 549 ticksize=9, cblabel=strCb[i], cbsize="1%", colormap="RdBu_r" )
550 550
551 551 if dataOut.data_SNR is not None:
552 552 i += 1
553 553 title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
554 554 axes = self.axesList[i*self.__nsubplots]
555 555
556 556 SNRavgdB = SNRavgdB.reshape((1,-1))
557 557
558 558 axes.pcolorbuffer(x, y, SNRavgdB,
559 559 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
560 560 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
561 561 ticksize=9, cblabel='', cbsize="1%", colormap="jet")
562 562
563 563 self.draw()
564 564
565 565 if dataOut.ltctime >= self.xmax:
566 566 self.counter_imagwr = wr_period
567 567 self.isConfig = False
568 568 update_figfile = True
569 569
570 570 self.save(figpath=figpath,
571 571 figfile=figfile,
572 572 save=save,
573 573 ftp=ftp,
574 574 wr_period=wr_period,
575 575 thisDatetime=thisDatetime,
576 576 update_figfile=update_figfile)
577 577
578 578
579 579
580 580 class ParametersPlot(Figure):
581 581
582 582 __isConfig = None
583 583 __nsubplots = None
584 584
585 585 WIDTHPROF = None
586 586 HEIGHTPROF = None
587 587 PREFIX = 'prm'
588 588
589 589 def __init__(self):
590 590
591 591 self.timerange = 2*60*60
592 592 self.isConfig = False
593 593 self.__nsubplots = 1
594 594
595 595 self.WIDTH = 800
596 596 self.HEIGHT = 150
597 597 self.WIDTHPROF = 120
598 598 self.HEIGHTPROF = 0
599 599 self.counter_imagwr = 0
600 600
601 601 self.PLOT_CODE = PARMS_CODE
602 602
603 603 self.FTP_WEI = None
604 604 self.EXP_CODE = None
605 605 self.SUB_EXP_CODE = None
606 606 self.PLOT_POS = None
607 607 self.tmin = None
608 608 self.tmax = None
609 609
610 610 self.xmin = None
611 611 self.xmax = None
612 612
613 613 self.figfile = None
614 614
615 615 def getSubplots(self):
616 616
617 617 ncol = 1
618 618 nrow = self.nplots
619 619
620 620 return nrow, ncol
621 621
622 622 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
623 623
624 624 self.__showprofile = showprofile
625 625 self.nplots = nplots
626 626
627 627 ncolspan = 1
628 628 colspan = 1
629 629
630 630 self.createFigure(id = id,
631 631 wintitle = wintitle,
632 632 widthplot = self.WIDTH + self.WIDTHPROF,
633 633 heightplot = self.HEIGHT + self.HEIGHTPROF,
634 634 show=show)
635 635
636 636 nrow, ncol = self.getSubplots()
637 637
638 638 counter = 0
639 639 for y in range(nrow):
640 640 for x in range(ncol):
641 641
642 642 if counter >= self.nplots:
643 643 break
644 644
645 645 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
646 646
647 647 if showprofile:
648 648 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
649 649
650 650 counter += 1
651 651
652 652 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False,
653 653 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,timerange=None,
654 654 parameterIndex = None, onlyPositive = False,
655 655 SNRthresh = -numpy.inf, SNR = True, SNRmin = None, SNRmax = None, onlySNR = False,
656 656 DOP = True,
657 657 zlabel = "", parameterName = "", parameterObject = "data_param",
658 658 save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
659 659 server=None, folder=None, username=None, password=None,
660 660 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
661 661
662 662 """
663 663
664 664 Input:
665 665 dataOut :
666 666 id :
667 667 wintitle :
668 668 channelList :
669 669 showProfile :
670 670 xmin : None,
671 671 xmax : None,
672 672 ymin : None,
673 673 ymax : None,
674 674 zmin : None,
675 675 zmax : None
676 676 """
677 677
678 678 data_param = getattr(dataOut, parameterObject)
679 679
680 680 if channelList == None:
681 681 channelIndexList = numpy.arange(data_param.shape[0])
682 682 else:
683 683 channelIndexList = numpy.array(channelList)
684 684
685 685 nchan = len(channelIndexList) #Number of channels being plotted
686 686
687 687 if nchan < 1:
688 688 return
689 689
690 690 nGraphsByChannel = 0
691 691
692 692 if SNR:
693 693 nGraphsByChannel += 1
694 694 if DOP:
695 695 nGraphsByChannel += 1
696 696
697 697 if nGraphsByChannel < 1:
698 698 return
699 699
700 700 nplots = nGraphsByChannel*nchan
701 701
702 702 if timerange is not None:
703 703 self.timerange = timerange
704 704
705 705 #tmin = None
706 706 #tmax = None
707 707 if parameterIndex == None:
708 708 parameterIndex = 1
709 709
710 710 x = dataOut.getTimeRange1()
711 711 y = dataOut.heightList
712 712 z = data_param[channelIndexList,parameterIndex,:].copy()
713 713
714 714 zRange = dataOut.abscissaList
715 715 # nChannels = z.shape[0] #Number of wind dimensions estimated
716 716 # thisDatetime = dataOut.datatime
717 717
718 718 if dataOut.data_SNR is not None:
719 719 SNRarray = dataOut.data_SNR[channelIndexList,:]
720 720 SNRdB = 10*numpy.log10(SNRarray)
721 721 # SNRavgdB = 10*numpy.log10(SNRavg)
722 722 ind = numpy.where(SNRdB < 10**(SNRthresh/10))
723 723 z[ind] = numpy.nan
724 724
725 725 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
726 726 title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
727 727 xlabel = ""
728 728 ylabel = "Range (Km)"
729 729
730 730 if (SNR and not onlySNR): nplots = 2*nplots
731 731
732 732 if onlyPositive:
733 733 colormap = "jet"
734 734 zmin = 0
735 735 else: colormap = "RdBu_r"
736 736
737 737 if not self.isConfig:
738 738
739 739 self.setup(id=id,
740 740 nplots=nplots,
741 741 wintitle=wintitle,
742 742 showprofile=showprofile,
743 743 show=show)
744 744
745 745 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
746 746
747 747 if ymin == None: ymin = numpy.nanmin(y)
748 748 if ymax == None: ymax = numpy.nanmax(y)
749 749 if zmin == None: zmin = numpy.nanmin(zRange)
750 750 if zmax == None: zmax = numpy.nanmax(zRange)
751 751
752 752 if SNR:
753 753 if SNRmin == None: SNRmin = numpy.nanmin(SNRdB)
754 754 if SNRmax == None: SNRmax = numpy.nanmax(SNRdB)
755 755
756 756 self.FTP_WEI = ftp_wei
757 757 self.EXP_CODE = exp_code
758 758 self.SUB_EXP_CODE = sub_exp_code
759 759 self.PLOT_POS = plot_pos
760 760
761 761 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
762 762 self.isConfig = True
763 763 self.figfile = figfile
764 764
765 765 self.setWinTitle(title)
766 766
767 767 if ((self.xmax - x[1]) < (x[1]-x[0])):
768 768 x[1] = self.xmax
769 769
770 770 for i in range(nchan):
771 771
772 772 if (SNR and not onlySNR): j = 2*i
773 773 else: j = i
774 774
775 775 j = nGraphsByChannel*i
776 776
777 777 if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
778 778 title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
779 779
780 780 if not onlySNR:
781 781 axes = self.axesList[j*self.__nsubplots]
782 782 z1 = z[i,:].reshape((1,-1))
783 783 axes.pcolorbuffer(x, y, z1,
784 784 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
785 785 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap,
786 786 ticksize=9, cblabel=zlabel, cbsize="1%")
787 787
788 788 if DOP:
789 789 title = "%s Channel %d: %s" %(parameterName, channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
790 790
791 791 if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
792 792 title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
793 793 axes = self.axesList[j]
794 794 z1 = z[i,:].reshape((1,-1))
795 795 axes.pcolorbuffer(x, y, z1,
796 796 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
797 797 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap,
798 798 ticksize=9, cblabel=zlabel, cbsize="1%")
799 799
800 800 if SNR:
801 801 title = "Channel %d Signal Noise Ratio (SNR): %s" %(channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
802 802 axes = self.axesList[(j)*self.__nsubplots]
803 803 if not onlySNR:
804 804 axes = self.axesList[(j + 1)*self.__nsubplots]
805 805
806 806 axes = self.axesList[(j + nGraphsByChannel-1)]
807 807
808 808 z1 = SNRdB[i,:].reshape((1,-1))
809 809 axes.pcolorbuffer(x, y, z1,
810 810 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
811 811 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap="jet",
812 812 ticksize=9, cblabel=zlabel, cbsize="1%")
813 813
814 814
815 815
816 816 self.draw()
817 817
818 818 if x[1] >= self.axesList[0].xmax:
819 819 self.counter_imagwr = wr_period
820 820 self.isConfig = False
821 821 self.figfile = None
822 822
823 823 self.save(figpath=figpath,
824 824 figfile=figfile,
825 825 save=save,
826 826 ftp=ftp,
827 827 wr_period=wr_period,
828 828 thisDatetime=thisDatetime,
829 829 update_figfile=False)
830 830
831 831 class SpectralFittingPlot(Figure):
832 832
833 833 __isConfig = None
834 834 __nsubplots = None
835 835
836 836 WIDTHPROF = None
837 837 HEIGHTPROF = None
838 838 PREFIX = 'prm'
839 839
840 840
841 841 N = None
842 842 ippSeconds = None
843 843
844 844 def __init__(self):
845 845 self.isConfig = False
846 846 self.__nsubplots = 1
847 847
848 848 self.PLOT_CODE = SPECFIT_CODE
849 849
850 850 self.WIDTH = 450
851 851 self.HEIGHT = 250
852 852 self.WIDTHPROF = 0
853 853 self.HEIGHTPROF = 0
854 854
855 855 def getSubplots(self):
856 856
857 857 ncol = int(numpy.sqrt(self.nplots)+0.9)
858 858 nrow = int(self.nplots*1./ncol + 0.9)
859 859
860 860 return nrow, ncol
861 861
862 862 def setup(self, id, nplots, wintitle, showprofile=False, show=True):
863 863
864 864 showprofile = False
865 865 self.__showprofile = showprofile
866 866 self.nplots = nplots
867 867
868 868 ncolspan = 5
869 869 colspan = 4
870 870 if showprofile:
871 871 ncolspan = 5
872 872 colspan = 4
873 873 self.__nsubplots = 2
874 874
875 875 self.createFigure(id = id,
876 876 wintitle = wintitle,
877 877 widthplot = self.WIDTH + self.WIDTHPROF,
878 878 heightplot = self.HEIGHT + self.HEIGHTPROF,
879 879 show=show)
880 880
881 881 nrow, ncol = self.getSubplots()
882 882
883 883 counter = 0
884 884 for y in range(nrow):
885 885 for x in range(ncol):
886 886
887 887 if counter >= self.nplots:
888 888 break
889 889
890 890 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
891 891
892 892 if showprofile:
893 893 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
894 894
895 895 counter += 1
896 896
897 897 def run(self, dataOut, id, cutHeight=None, fit=False, wintitle="", channelList=None, showprofile=True,
898 898 xmin=None, xmax=None, ymin=None, ymax=None,
899 899 save=False, figpath='./', figfile=None, show=True):
900 900
901 901 """
902 902
903 903 Input:
904 904 dataOut :
905 905 id :
906 906 wintitle :
907 907 channelList :
908 908 showProfile :
909 909 xmin : None,
910 910 xmax : None,
911 911 zmin : None,
912 912 zmax : None
913 913 """
914 914
915 915 if cutHeight==None:
916 916 h=270
917 917 heightindex = numpy.abs(cutHeight - dataOut.heightList).argmin()
918 918 cutHeight = dataOut.heightList[heightindex]
919 919
920 920 factor = dataOut.normFactor
921 921 x = dataOut.abscissaList[:-1]
922 922 #y = dataOut.getHeiRange()
923 923
924 924 z = dataOut.data_pre[:,:,heightindex]/factor
925 925 z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
926 926 avg = numpy.average(z, axis=1)
927 927 listChannels = z.shape[0]
928 928
929 929 #Reconstruct Function
930 930 if fit==True:
931 931 groupArray = dataOut.groupList
932 932 listChannels = groupArray.reshape((groupArray.size))
933 933 listChannels.sort()
934 934 spcFitLine = numpy.zeros(z.shape)
935 935 constants = dataOut.constants
936 936
937 937 nGroups = groupArray.shape[0]
938 938 nChannels = groupArray.shape[1]
939 939 nProfiles = z.shape[1]
940 940
941 941 for f in range(nGroups):
942 942 groupChann = groupArray[f,:]
943 943 p = dataOut.data_param[f,:,heightindex]
944 944 # p = numpy.array([ 89.343967,0.14036615,0.17086219,18.89835291,1.58388365,1.55099167])
945 945 fitLineAux = dataOut.library.modelFunction(p, constants)*nProfiles
946 946 fitLineAux = fitLineAux.reshape((nChannels,nProfiles))
947 947 spcFitLine[groupChann,:] = fitLineAux
948 948 # spcFitLine = spcFitLine/factor
949 949
950 950 z = z[listChannels,:]
951 951 spcFitLine = spcFitLine[listChannels,:]
952 952 spcFitLinedB = 10*numpy.log10(spcFitLine)
953 953
954 954 zdB = 10*numpy.log10(z)
955 955 #thisDatetime = dataOut.datatime
956 956 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
957 957 title = wintitle + " Doppler Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
958 958 xlabel = "Velocity (m/s)"
959 959 ylabel = "Spectrum"
960 960
961 961 if not self.isConfig:
962 962
963 963 nplots = listChannels.size
964 964
965 965 self.setup(id=id,
966 966 nplots=nplots,
967 967 wintitle=wintitle,
968 968 showprofile=showprofile,
969 969 show=show)
970 970
971 971 if xmin == None: xmin = numpy.nanmin(x)
972 972 if xmax == None: xmax = numpy.nanmax(x)
973 973 if ymin == None: ymin = numpy.nanmin(zdB)
974 974 if ymax == None: ymax = numpy.nanmax(zdB)+2
975 975
976 976 self.isConfig = True
977 977
978 978 self.setWinTitle(title)
979 979 for i in range(self.nplots):
980 980 # title = "Channel %d: %4.2fdB" %(dataOut.channelList[i]+1, noisedB[i])
981 981 title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i])
982 982 axes = self.axesList[i*self.__nsubplots]
983 983 if fit == False:
984 984 axes.pline(x, zdB[i,:],
985 985 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
986 986 xlabel=xlabel, ylabel=ylabel, title=title
987 987 )
988 988 if fit == True:
989 989 fitline=spcFitLinedB[i,:]
990 990 y=numpy.vstack([zdB[i,:],fitline] )
991 991 legendlabels=['Data','Fitting']
992 992 axes.pmultilineyaxis(x, y,
993 993 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
994 994 xlabel=xlabel, ylabel=ylabel, title=title,
995 995 legendlabels=legendlabels, marker=None,
996 996 linestyle='solid', grid='both')
997 997
998 998 self.draw()
999 999
1000 1000 self.save(figpath=figpath,
1001 1001 figfile=figfile,
1002 1002 save=save,
1003 1003 ftp=ftp,
1004 1004 wr_period=wr_period,
1005 1005 thisDatetime=thisDatetime)
1006 1006
1007 1007
1008 1008 class EWDriftsPlot(Figure):
1009 1009
1010 1010 __isConfig = None
1011 1011 __nsubplots = None
1012 1012
1013 1013 WIDTHPROF = None
1014 1014 HEIGHTPROF = None
1015 1015 PREFIX = 'drift'
1016 1016
1017 1017 def __init__(self):
1018 1018
1019 1019 self.timerange = 2*60*60
1020 1020 self.isConfig = False
1021 1021 self.__nsubplots = 1
1022 1022
1023 1023 self.WIDTH = 800
1024 1024 self.HEIGHT = 150
1025 1025 self.WIDTHPROF = 120
1026 1026 self.HEIGHTPROF = 0
1027 1027 self.counter_imagwr = 0
1028 1028
1029 1029 self.PLOT_CODE = EWDRIFT_CODE
1030 1030
1031 1031 self.FTP_WEI = None
1032 1032 self.EXP_CODE = None
1033 1033 self.SUB_EXP_CODE = None
1034 1034 self.PLOT_POS = None
1035 1035 self.tmin = None
1036 1036 self.tmax = None
1037 1037
1038 1038 self.xmin = None
1039 1039 self.xmax = None
1040 1040
1041 1041 self.figfile = None
1042 1042
1043 1043 def getSubplots(self):
1044 1044
1045 1045 ncol = 1
1046 1046 nrow = self.nplots
1047 1047
1048 1048 return nrow, ncol
1049 1049
1050 1050 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
1051 1051
1052 1052 self.__showprofile = showprofile
1053 1053 self.nplots = nplots
1054 1054
1055 1055 ncolspan = 1
1056 1056 colspan = 1
1057 1057
1058 1058 self.createFigure(id = id,
1059 1059 wintitle = wintitle,
1060 1060 widthplot = self.WIDTH + self.WIDTHPROF,
1061 1061 heightplot = self.HEIGHT + self.HEIGHTPROF,
1062 1062 show=show)
1063 1063
1064 1064 nrow, ncol = self.getSubplots()
1065 1065
1066 1066 counter = 0
1067 1067 for y in range(nrow):
1068 1068 if counter >= self.nplots:
1069 1069 break
1070 1070
1071 1071 self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1)
1072 1072 counter += 1
1073 1073
1074 1074 def run(self, dataOut, id, wintitle="", channelList=None,
1075 1075 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
1076 1076 zmaxVertical = None, zminVertical = None, zmaxZonal = None, zminZonal = None,
1077 1077 timerange=None, SNRthresh = -numpy.inf, SNRmin = None, SNRmax = None, SNR_1 = False,
1078 1078 save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
1079 1079 server=None, folder=None, username=None, password=None,
1080 1080 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
1081 1081 """
1082 1082
1083 1083 Input:
1084 1084 dataOut :
1085 1085 id :
1086 1086 wintitle :
1087 1087 channelList :
1088 1088 showProfile :
1089 1089 xmin : None,
1090 1090 xmax : None,
1091 1091 ymin : None,
1092 1092 ymax : None,
1093 1093 zmin : None,
1094 1094 zmax : None
1095 1095 """
1096 1096
1097 1097 if timerange is not None:
1098 1098 self.timerange = timerange
1099 1099
1100 1100 tmin = None
1101 1101 tmax = None
1102 1102
1103 1103 x = dataOut.getTimeRange1()
1104 1104 # y = dataOut.heightList
1105 1105 y = dataOut.heightList
1106 1106
1107 1107 z = dataOut.data_output
1108 1108 nplots = z.shape[0] #Number of wind dimensions estimated
1109 1109 nplotsw = nplots
1110 1110
1111 1111 #If there is a SNR function defined
1112 1112 if dataOut.data_SNR is not None:
1113 1113 nplots += 1
1114 1114 SNR = dataOut.data_SNR
1115 1115
1116 1116 if SNR_1:
1117 1117 SNR += 1
1118 1118
1119 1119 SNRavg = numpy.average(SNR, axis=0)
1120 1120
1121 1121 SNRdB = 10*numpy.log10(SNR)
1122 1122 SNRavgdB = 10*numpy.log10(SNRavg)
1123 1123
1124 1124 ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0]
1125 1125
1126 1126 for i in range(nplotsw):
1127 1127 z[i,ind] = numpy.nan
1128 1128
1129 1129
1130 1130 showprofile = False
1131 1131 # thisDatetime = dataOut.datatime
1132 1132 thisDatetime = datetime.datetime.utcfromtimestamp(x[1])
1133 1133 title = wintitle + " EW Drifts"
1134 1134 xlabel = ""
1135 1135 ylabel = "Height (Km)"
1136 1136
1137 1137 if not self.isConfig:
1138 1138
1139 1139 self.setup(id=id,
1140 1140 nplots=nplots,
1141 1141 wintitle=wintitle,
1142 1142 showprofile=showprofile,
1143 1143 show=show)
1144 1144
1145 1145 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
1146 1146
1147 1147 if ymin == None: ymin = numpy.nanmin(y)
1148 1148 if ymax == None: ymax = numpy.nanmax(y)
1149 1149
1150 1150 if zmaxZonal == None: zmaxZonal = numpy.nanmax(abs(z[0,:]))
1151 1151 if zminZonal == None: zminZonal = -zmaxZonal
1152 1152 if zmaxVertical == None: zmaxVertical = numpy.nanmax(abs(z[1,:]))
1153 1153 if zminVertical == None: zminVertical = -zmaxVertical
1154 1154
1155 1155 if dataOut.data_SNR is not None:
1156 1156 if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB)
1157 1157 if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB)
1158 1158
1159 1159 self.FTP_WEI = ftp_wei
1160 1160 self.EXP_CODE = exp_code
1161 1161 self.SUB_EXP_CODE = sub_exp_code
1162 1162 self.PLOT_POS = plot_pos
1163 1163
1164 1164 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
1165 1165 self.isConfig = True
1166 1166
1167 1167
1168 1168 self.setWinTitle(title)
1169 1169
1170 1170 if ((self.xmax - x[1]) < (x[1]-x[0])):
1171 1171 x[1] = self.xmax
1172 1172
1173 1173 strWind = ['Zonal','Vertical']
1174 1174 strCb = 'Velocity (m/s)'
1175 1175 zmaxVector = [zmaxZonal, zmaxVertical]
1176 1176 zminVector = [zminZonal, zminVertical]
1177 1177
1178 1178 for i in range(nplotsw):
1179 1179
1180 1180 title = "%s Drifts: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1181 1181 axes = self.axesList[i*self.__nsubplots]
1182 1182
1183 1183 z1 = z[i,:].reshape((1,-1))
1184 1184
1185 1185 axes.pcolorbuffer(x, y, z1,
1186 1186 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i],
1187 1187 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
1188 1188 ticksize=9, cblabel=strCb, cbsize="1%", colormap="RdBu_r")
1189 1189
1190 1190 if dataOut.data_SNR is not None:
1191 1191 i += 1
1192 1192 if SNR_1:
1193 1193 title = "Signal Noise Ratio + 1 (SNR+1): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1194 1194 else:
1195 1195 title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1196 1196 axes = self.axesList[i*self.__nsubplots]
1197 1197 SNRavgdB = SNRavgdB.reshape((1,-1))
1198 1198
1199 1199 axes.pcolorbuffer(x, y, SNRavgdB,
1200 1200 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
1201 1201 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
1202 1202 ticksize=9, cblabel='', cbsize="1%", colormap="jet")
1203 1203
1204 1204 self.draw()
1205 1205
1206 1206 if x[1] >= self.axesList[0].xmax:
1207 1207 self.counter_imagwr = wr_period
1208 1208 self.isConfig = False
1209 1209 self.figfile = None
1210 1210
1211 1211
1212 1212
1213 1213
1214 1214 class PhasePlot(Figure):
1215 1215
1216 1216 __isConfig = None
1217 1217 __nsubplots = None
1218 1218
1219 1219 PREFIX = 'mphase'
1220 1220
1221 1221 def __init__(self):
1222 1222
1223 1223 self.timerange = 24*60*60
1224 1224 self.isConfig = False
1225 1225 self.__nsubplots = 1
1226 1226 self.counter_imagwr = 0
1227 1227 self.WIDTH = 600
1228 1228 self.HEIGHT = 300
1229 1229 self.WIDTHPROF = 120
1230 1230 self.HEIGHTPROF = 0
1231 1231 self.xdata = None
1232 1232 self.ydata = None
1233 1233
1234 1234 self.PLOT_CODE = MPHASE_CODE
1235 1235
1236 1236 self.FTP_WEI = None
1237 1237 self.EXP_CODE = None
1238 1238 self.SUB_EXP_CODE = None
1239 1239 self.PLOT_POS = None
1240 1240
1241 1241
1242 1242 self.filename_phase = None
1243 1243
1244 1244 self.figfile = None
1245 1245
1246 1246 def getSubplots(self):
1247 1247
1248 1248 ncol = 1
1249 1249 nrow = 1
1250 1250
1251 1251 return nrow, ncol
1252 1252
1253 1253 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
1254 1254
1255 1255 self.__showprofile = showprofile
1256 1256 self.nplots = nplots
1257 1257
1258 1258 ncolspan = 7
1259 1259 colspan = 6
1260 1260 self.__nsubplots = 2
1261 1261
1262 1262 self.createFigure(id = id,
1263 1263 wintitle = wintitle,
1264 1264 widthplot = self.WIDTH+self.WIDTHPROF,
1265 1265 heightplot = self.HEIGHT+self.HEIGHTPROF,
1266 1266 show=show)
1267 1267
1268 1268 nrow, ncol = self.getSubplots()
1269 1269
1270 1270 self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1)
1271 1271
1272 1272
1273 1273 def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True',
1274 1274 xmin=None, xmax=None, ymin=None, ymax=None,
1275 1275 timerange=None,
1276 1276 save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
1277 1277 server=None, folder=None, username=None, password=None,
1278 1278 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
1279 1279
1280 1280
1281 1281 tmin = None
1282 1282 tmax = None
1283 1283 x = dataOut.getTimeRange1()
1284 1284 y = dataOut.getHeiRange()
1285 1285
1286 1286
1287 1287 #thisDatetime = dataOut.datatime
1288 1288 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
1289 1289 title = wintitle + " Phase of Beacon Signal" # : %s" %(thisDatetime.strftime("%d-%b-%Y"))
1290 1290 xlabel = "Local Time"
1291 1291 ylabel = "Phase"
1292 1292
1293 1293
1294 1294 #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList)))
1295 1295 phase_beacon = dataOut.data_output
1296 1296 update_figfile = False
1297 1297
1298 1298 if not self.isConfig:
1299 1299
1300 1300 self.nplots = phase_beacon.size
1301 1301
1302 1302 self.setup(id=id,
1303 1303 nplots=self.nplots,
1304 1304 wintitle=wintitle,
1305 1305 showprofile=showprofile,
1306 1306 show=show)
1307 1307
1308 1308 if timerange is not None:
1309 1309 self.timerange = timerange
1310 1310
1311 1311 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
1312 1312
1313 1313 if ymin == None: ymin = numpy.nanmin(phase_beacon) - 10.0
1314 1314 if ymax == None: ymax = numpy.nanmax(phase_beacon) + 10.0
1315 1315
1316 1316 self.FTP_WEI = ftp_wei
1317 1317 self.EXP_CODE = exp_code
1318 1318 self.SUB_EXP_CODE = sub_exp_code
1319 1319 self.PLOT_POS = plot_pos
1320 1320
1321 1321 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
1322 1322 self.isConfig = True
1323 1323 self.figfile = figfile
1324 1324 self.xdata = numpy.array([])
1325 1325 self.ydata = numpy.array([])
1326 1326
1327 1327 #open file beacon phase
1328 1328 path = '%s%03d' %(self.PREFIX, self.id)
1329 1329 beacon_file = os.path.join(path,'%s.txt'%self.name)
1330 1330 self.filename_phase = os.path.join(figpath,beacon_file)
1331 1331 update_figfile = True
1332 1332
1333 1333
1334 1334 #store data beacon phase
1335 1335 #self.save_data(self.filename_phase, phase_beacon, thisDatetime)
1336 1336
1337 1337 self.setWinTitle(title)
1338 1338
1339 1339
1340 1340 title = "Phase Offset %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1341 1341
1342 1342 legendlabels = ["phase %d"%(chan) for chan in numpy.arange(self.nplots)]
1343 1343
1344 1344 axes = self.axesList[0]
1345 1345
1346 1346 self.xdata = numpy.hstack((self.xdata, x[0:1]))
1347 1347
1348 1348 if len(self.ydata)==0:
1349 1349 self.ydata = phase_beacon.reshape(-1,1)
1350 1350 else:
1351 1351 self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1)))
1352 1352
1353 1353
1354 1354 axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
1355 1355 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax,
1356 1356 xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid",
1357 1357 XAxisAsTime=True, grid='both'
1358 1358 )
1359 1359
1360 1360 self.draw()
1361 1361
1362 1362 if dataOut.ltctime >= self.xmax:
1363 1363 self.counter_imagwr = wr_period
1364 1364 self.isConfig = False
1365 1365 update_figfile = True
1366 1366
1367 1367 self.save(figpath=figpath,
1368 1368 figfile=figfile,
1369 1369 save=save,
1370 1370 ftp=ftp,
1371 1371 wr_period=wr_period,
1372 1372 thisDatetime=thisDatetime,
1373 1373 update_figfile=update_figfile)
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