##// END OF EJS Templates
schain-jc
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SkyMap new feature: tmin and tmax selection
Julio Valdez -
r787:20654310af23
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@@ -1,1372 +1,1373
1 import os
1 import os
2 import datetime
2 import datetime
3 import numpy
3 import numpy
4
4
5 from figure import Figure, isRealtime
5 from figure import Figure, isRealtime
6 from plotting_codes import *
6 from plotting_codes import *
7
7
8 class MomentsPlot(Figure):
8 class MomentsPlot(Figure):
9
9
10 isConfig = None
10 isConfig = None
11 __nsubplots = None
11 __nsubplots = None
12
12
13 WIDTHPROF = None
13 WIDTHPROF = None
14 HEIGHTPROF = None
14 HEIGHTPROF = None
15 PREFIX = 'prm'
15 PREFIX = 'prm'
16
16
17 def __init__(self):
17 def __init__(self):
18
18
19 self.isConfig = False
19 self.isConfig = False
20 self.__nsubplots = 1
20 self.__nsubplots = 1
21
21
22 self.WIDTH = 280
22 self.WIDTH = 280
23 self.HEIGHT = 250
23 self.HEIGHT = 250
24 self.WIDTHPROF = 120
24 self.WIDTHPROF = 120
25 self.HEIGHTPROF = 0
25 self.HEIGHTPROF = 0
26 self.counter_imagwr = 0
26 self.counter_imagwr = 0
27
27
28 self.PLOT_CODE = MOMENTS_CODE
28 self.PLOT_CODE = MOMENTS_CODE
29
29
30 self.FTP_WEI = None
30 self.FTP_WEI = None
31 self.EXP_CODE = None
31 self.EXP_CODE = None
32 self.SUB_EXP_CODE = None
32 self.SUB_EXP_CODE = None
33 self.PLOT_POS = None
33 self.PLOT_POS = None
34
34
35 def getSubplots(self):
35 def getSubplots(self):
36
36
37 ncol = int(numpy.sqrt(self.nplots)+0.9)
37 ncol = int(numpy.sqrt(self.nplots)+0.9)
38 nrow = int(self.nplots*1./ncol + 0.9)
38 nrow = int(self.nplots*1./ncol + 0.9)
39
39
40 return nrow, ncol
40 return nrow, ncol
41
41
42 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
42 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
43
43
44 self.__showprofile = showprofile
44 self.__showprofile = showprofile
45 self.nplots = nplots
45 self.nplots = nplots
46
46
47 ncolspan = 1
47 ncolspan = 1
48 colspan = 1
48 colspan = 1
49 if showprofile:
49 if showprofile:
50 ncolspan = 3
50 ncolspan = 3
51 colspan = 2
51 colspan = 2
52 self.__nsubplots = 2
52 self.__nsubplots = 2
53
53
54 self.createFigure(id = id,
54 self.createFigure(id = id,
55 wintitle = wintitle,
55 wintitle = wintitle,
56 widthplot = self.WIDTH + self.WIDTHPROF,
56 widthplot = self.WIDTH + self.WIDTHPROF,
57 heightplot = self.HEIGHT + self.HEIGHTPROF,
57 heightplot = self.HEIGHT + self.HEIGHTPROF,
58 show=show)
58 show=show)
59
59
60 nrow, ncol = self.getSubplots()
60 nrow, ncol = self.getSubplots()
61
61
62 counter = 0
62 counter = 0
63 for y in range(nrow):
63 for y in range(nrow):
64 for x in range(ncol):
64 for x in range(ncol):
65
65
66 if counter >= self.nplots:
66 if counter >= self.nplots:
67 break
67 break
68
68
69 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
69 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
70
70
71 if showprofile:
71 if showprofile:
72 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
72 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
73
73
74 counter += 1
74 counter += 1
75
75
76 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True,
76 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=True,
77 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
77 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
78 save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
78 save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
79 server=None, folder=None, username=None, password=None,
79 server=None, folder=None, username=None, password=None,
80 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
80 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
81
81
82 """
82 """
83
83
84 Input:
84 Input:
85 dataOut :
85 dataOut :
86 id :
86 id :
87 wintitle :
87 wintitle :
88 channelList :
88 channelList :
89 showProfile :
89 showProfile :
90 xmin : None,
90 xmin : None,
91 xmax : None,
91 xmax : None,
92 ymin : None,
92 ymin : None,
93 ymax : None,
93 ymax : None,
94 zmin : None,
94 zmin : None,
95 zmax : None
95 zmax : None
96 """
96 """
97
97
98 if dataOut.flagNoData:
98 if dataOut.flagNoData:
99 return None
99 return None
100
100
101 if realtime:
101 if realtime:
102 if not(isRealtime(utcdatatime = dataOut.utctime)):
102 if not(isRealtime(utcdatatime = dataOut.utctime)):
103 print 'Skipping this plot function'
103 print 'Skipping this plot function'
104 return
104 return
105
105
106 if channelList == None:
106 if channelList == None:
107 channelIndexList = dataOut.channelIndexList
107 channelIndexList = dataOut.channelIndexList
108 else:
108 else:
109 channelIndexList = []
109 channelIndexList = []
110 for channel in channelList:
110 for channel in channelList:
111 if channel not in dataOut.channelList:
111 if channel not in dataOut.channelList:
112 raise ValueError, "Channel %d is not in dataOut.channelList"
112 raise ValueError, "Channel %d is not in dataOut.channelList"
113 channelIndexList.append(dataOut.channelList.index(channel))
113 channelIndexList.append(dataOut.channelList.index(channel))
114
114
115 factor = dataOut.normFactor
115 factor = dataOut.normFactor
116 x = dataOut.abscissaList
116 x = dataOut.abscissaList
117 y = dataOut.heightList
117 y = dataOut.heightList
118
118
119 z = dataOut.data_pre[channelIndexList,:,:]/factor
119 z = dataOut.data_pre[channelIndexList,:,:]/factor
120 z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
120 z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
121 avg = numpy.average(z, axis=1)
121 avg = numpy.average(z, axis=1)
122 noise = dataOut.noise/factor
122 noise = dataOut.noise/factor
123
123
124 zdB = 10*numpy.log10(z)
124 zdB = 10*numpy.log10(z)
125 avgdB = 10*numpy.log10(avg)
125 avgdB = 10*numpy.log10(avg)
126 noisedB = 10*numpy.log10(noise)
126 noisedB = 10*numpy.log10(noise)
127
127
128 #thisDatetime = dataOut.datatime
128 #thisDatetime = dataOut.datatime
129 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
129 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
130 title = wintitle + " Parameters"
130 title = wintitle + " Parameters"
131 xlabel = "Velocity (m/s)"
131 xlabel = "Velocity (m/s)"
132 ylabel = "Range (Km)"
132 ylabel = "Range (Km)"
133
133
134 update_figfile = False
134 update_figfile = False
135
135
136 if not self.isConfig:
136 if not self.isConfig:
137
137
138 nplots = len(channelIndexList)
138 nplots = len(channelIndexList)
139
139
140 self.setup(id=id,
140 self.setup(id=id,
141 nplots=nplots,
141 nplots=nplots,
142 wintitle=wintitle,
142 wintitle=wintitle,
143 showprofile=showprofile,
143 showprofile=showprofile,
144 show=show)
144 show=show)
145
145
146 if xmin == None: xmin = numpy.nanmin(x)
146 if xmin == None: xmin = numpy.nanmin(x)
147 if xmax == None: xmax = numpy.nanmax(x)
147 if xmax == None: xmax = numpy.nanmax(x)
148 if ymin == None: ymin = numpy.nanmin(y)
148 if ymin == None: ymin = numpy.nanmin(y)
149 if ymax == None: ymax = numpy.nanmax(y)
149 if ymax == None: ymax = numpy.nanmax(y)
150 if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
150 if zmin == None: zmin = numpy.nanmin(avgdB)*0.9
151 if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
151 if zmax == None: zmax = numpy.nanmax(avgdB)*0.9
152
152
153 self.FTP_WEI = ftp_wei
153 self.FTP_WEI = ftp_wei
154 self.EXP_CODE = exp_code
154 self.EXP_CODE = exp_code
155 self.SUB_EXP_CODE = sub_exp_code
155 self.SUB_EXP_CODE = sub_exp_code
156 self.PLOT_POS = plot_pos
156 self.PLOT_POS = plot_pos
157
157
158 self.isConfig = True
158 self.isConfig = True
159 update_figfile = True
159 update_figfile = True
160
160
161 self.setWinTitle(title)
161 self.setWinTitle(title)
162
162
163 for i in range(self.nplots):
163 for i in range(self.nplots):
164 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
164 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
165 title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i], noisedB[i], str_datetime)
165 title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i], noisedB[i], str_datetime)
166 axes = self.axesList[i*self.__nsubplots]
166 axes = self.axesList[i*self.__nsubplots]
167 axes.pcolor(x, y, zdB[i,:,:],
167 axes.pcolor(x, y, zdB[i,:,:],
168 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
168 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
169 xlabel=xlabel, ylabel=ylabel, title=title,
169 xlabel=xlabel, ylabel=ylabel, title=title,
170 ticksize=9, cblabel='')
170 ticksize=9, cblabel='')
171 #Mean Line
171 #Mean Line
172 mean = dataOut.data_param[i, 1, :]
172 mean = dataOut.data_param[i, 1, :]
173 axes.addpline(mean, y, idline=0, color="black", linestyle="solid", lw=1)
173 axes.addpline(mean, y, idline=0, color="black", linestyle="solid", lw=1)
174
174
175 if self.__showprofile:
175 if self.__showprofile:
176 axes = self.axesList[i*self.__nsubplots +1]
176 axes = self.axesList[i*self.__nsubplots +1]
177 axes.pline(avgdB[i], y,
177 axes.pline(avgdB[i], y,
178 xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
178 xmin=zmin, xmax=zmax, ymin=ymin, ymax=ymax,
179 xlabel='dB', ylabel='', title='',
179 xlabel='dB', ylabel='', title='',
180 ytick_visible=False,
180 ytick_visible=False,
181 grid='x')
181 grid='x')
182
182
183 noiseline = numpy.repeat(noisedB[i], len(y))
183 noiseline = numpy.repeat(noisedB[i], len(y))
184 axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2)
184 axes.addpline(noiseline, y, idline=1, color="black", linestyle="dashed", lw=2)
185
185
186 self.draw()
186 self.draw()
187
187
188 self.save(figpath=figpath,
188 self.save(figpath=figpath,
189 figfile=figfile,
189 figfile=figfile,
190 save=save,
190 save=save,
191 ftp=ftp,
191 ftp=ftp,
192 wr_period=wr_period,
192 wr_period=wr_period,
193 thisDatetime=thisDatetime)
193 thisDatetime=thisDatetime)
194
194
195
195
196
196
197 class SkyMapPlot(Figure):
197 class SkyMapPlot(Figure):
198
198
199 __isConfig = None
199 __isConfig = None
200 __nsubplots = None
200 __nsubplots = None
201
201
202 WIDTHPROF = None
202 WIDTHPROF = None
203 HEIGHTPROF = None
203 HEIGHTPROF = None
204 PREFIX = 'mmap'
204 PREFIX = 'mmap'
205
205
206 def __init__(self):
206 def __init__(self):
207
207
208 self.__isConfig = False
208 self.__isConfig = False
209 self.__nsubplots = 1
209 self.__nsubplots = 1
210
210
211 # self.WIDTH = 280
211 # self.WIDTH = 280
212 # self.HEIGHT = 250
212 # self.HEIGHT = 250
213 self.WIDTH = 600
213 self.WIDTH = 600
214 self.HEIGHT = 600
214 self.HEIGHT = 600
215 self.WIDTHPROF = 120
215 self.WIDTHPROF = 120
216 self.HEIGHTPROF = 0
216 self.HEIGHTPROF = 0
217 self.counter_imagwr = 0
217 self.counter_imagwr = 0
218
218
219 self.PLOT_CODE = MSKYMAP_CODE
219 self.PLOT_CODE = MSKYMAP_CODE
220
220
221 self.FTP_WEI = None
221 self.FTP_WEI = None
222 self.EXP_CODE = None
222 self.EXP_CODE = None
223 self.SUB_EXP_CODE = None
223 self.SUB_EXP_CODE = None
224 self.PLOT_POS = None
224 self.PLOT_POS = None
225
225
226 def getSubplots(self):
226 def getSubplots(self):
227
227
228 ncol = int(numpy.sqrt(self.nplots)+0.9)
228 ncol = int(numpy.sqrt(self.nplots)+0.9)
229 nrow = int(self.nplots*1./ncol + 0.9)
229 nrow = int(self.nplots*1./ncol + 0.9)
230
230
231 return nrow, ncol
231 return nrow, ncol
232
232
233 def setup(self, id, nplots, wintitle, showprofile=False, show=True):
233 def setup(self, id, nplots, wintitle, showprofile=False, show=True):
234
234
235 self.__showprofile = showprofile
235 self.__showprofile = showprofile
236 self.nplots = nplots
236 self.nplots = nplots
237
237
238 ncolspan = 1
238 ncolspan = 1
239 colspan = 1
239 colspan = 1
240
240
241 self.createFigure(id = id,
241 self.createFigure(id = id,
242 wintitle = wintitle,
242 wintitle = wintitle,
243 widthplot = self.WIDTH, #+ self.WIDTHPROF,
243 widthplot = self.WIDTH, #+ self.WIDTHPROF,
244 heightplot = self.HEIGHT,# + self.HEIGHTPROF,
244 heightplot = self.HEIGHT,# + self.HEIGHTPROF,
245 show=show)
245 show=show)
246
246
247 nrow, ncol = 1,1
247 nrow, ncol = 1,1
248 counter = 0
248 counter = 0
249 x = 0
249 x = 0
250 y = 0
250 y = 0
251 self.addAxes(1, 1, 0, 0, 1, 1, True)
251 self.addAxes(1, 1, 0, 0, 1, 1, True)
252
252
253 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False,
253 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False,
254 tmin=None, tmax=None, timerange=None,
254 tmin=None, tmax=None, timerange=None,
255 save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
255 save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
256 server=None, folder=None, username=None, password=None,
256 server=None, folder=None, username=None, password=None,
257 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
257 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0, realtime=False):
258
258
259 """
259 """
260
260
261 Input:
261 Input:
262 dataOut :
262 dataOut :
263 id :
263 id :
264 wintitle :
264 wintitle :
265 channelList :
265 channelList :
266 showProfile :
266 showProfile :
267 xmin : None,
267 xmin : None,
268 xmax : None,
268 xmax : None,
269 ymin : None,
269 ymin : None,
270 ymax : None,
270 ymax : None,
271 zmin : None,
271 zmin : None,
272 zmax : None
272 zmax : None
273 """
273 """
274
274
275 arrayParameters = dataOut.data_param[0,:]
275 arrayParameters = dataOut.data_param[0,:]
276 error = arrayParameters[:,-1]
276 error = arrayParameters[:,-1]
277 indValid = numpy.where(error == 0)[0]
277 indValid = numpy.where(error == 0)[0]
278 finalMeteor = arrayParameters[indValid,:]
278 finalMeteor = arrayParameters[indValid,:]
279 finalAzimuth = finalMeteor[:,4]
279 finalAzimuth = finalMeteor[:,4]
280 finalZenith = finalMeteor[:,5]
280 finalZenith = finalMeteor[:,5]
281
281
282 x = finalAzimuth*numpy.pi/180
282 x = finalAzimuth*numpy.pi/180
283 y = finalZenith
283 y = finalZenith
284 x1 = dataOut.getTimeRange()
284 x1 = dataOut.getTimeRange()
285
285
286 #thisDatetime = dataOut.datatime
286 #thisDatetime = dataOut.datatime
287 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
287 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
288 title = wintitle + " Parameters"
288 title = wintitle + " Parameters"
289 xlabel = "Zonal Zenith Angle (deg) "
289 xlabel = "Zonal Zenith Angle (deg) "
290 ylabel = "Meridional Zenith Angle (deg)"
290 ylabel = "Meridional Zenith Angle (deg)"
291 update_figfile = False
291 update_figfile = False
292
292
293 if not self.__isConfig:
293 if not self.__isConfig:
294
294
295 nplots = 1
295 nplots = 1
296
296
297 self.setup(id=id,
297 self.setup(id=id,
298 nplots=nplots,
298 nplots=nplots,
299 wintitle=wintitle,
299 wintitle=wintitle,
300 showprofile=showprofile,
300 showprofile=showprofile,
301 show=show)
301 show=show)
302
302
303 self.xmin, self.xmax = self.getTimeLim(x1, tmin, tmax, timerange)
303 if self.xmin is None and self.xmax is None:
304 self.xmin, self.xmax = self.getTimeLim(x1, tmin, tmax, timerange)
304
305
305 if timerange != None:
306 if timerange != None:
306 self.timerange = timerange
307 self.timerange = timerange
307 else:
308 else:
308 self.timerange = self.xmax - self.xmin
309 self.timerange = self.xmax - self.xmin
309
310
310 self.FTP_WEI = ftp_wei
311 self.FTP_WEI = ftp_wei
311 self.EXP_CODE = exp_code
312 self.EXP_CODE = exp_code
312 self.SUB_EXP_CODE = sub_exp_code
313 self.SUB_EXP_CODE = sub_exp_code
313 self.PLOT_POS = plot_pos
314 self.PLOT_POS = plot_pos
314 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
315 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
315 self.firstdate = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
316 self.firstdate = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
316 self.__isConfig = True
317 self.__isConfig = True
317 update_figfile = True
318 update_figfile = True
318
319
319 self.setWinTitle(title)
320 self.setWinTitle(title)
320
321
321 i = 0
322 i = 0
322 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
323 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
323
324
324 axes = self.axesList[i*self.__nsubplots]
325 axes = self.axesList[i*self.__nsubplots]
325 nevents = axes.x_buffer.shape[0] + x.shape[0]
326 nevents = axes.x_buffer.shape[0] + x.shape[0]
326 title = "Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n" %(self.firstdate,str_datetime,nevents)
327 title = "Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n" %(self.firstdate,str_datetime,nevents)
327 axes.polar(x, y,
328 axes.polar(x, y,
328 title=title, xlabel=xlabel, ylabel=ylabel,
329 title=title, xlabel=xlabel, ylabel=ylabel,
329 ticksize=9, cblabel='')
330 ticksize=9, cblabel='')
330
331
331 self.draw()
332 self.draw()
332
333
333 self.save(figpath=figpath,
334 self.save(figpath=figpath,
334 figfile=figfile,
335 figfile=figfile,
335 save=save,
336 save=save,
336 ftp=ftp,
337 ftp=ftp,
337 wr_period=wr_period,
338 wr_period=wr_period,
338 thisDatetime=thisDatetime,
339 thisDatetime=thisDatetime,
339 update_figfile=update_figfile)
340 update_figfile=update_figfile)
340
341
341 if dataOut.ltctime >= self.xmax:
342 if dataOut.ltctime >= self.xmax:
342 self.counter_imagwr = wr_period
343 self.counter_imagwr = wr_period
343 self.__isConfig = False
344 self.__isConfig = False
344 update_figfile = True
345 update_figfile = True
345 axes.__firsttime = True
346 axes.__firsttime = True
346 self.xmin += self.timerange
347 self.xmin += self.timerange
347 self.xmax += self.timerange
348 self.xmax += self.timerange
348
349
349
350
350
351
351
352
352 class WindProfilerPlot(Figure):
353 class WindProfilerPlot(Figure):
353
354
354 __isConfig = None
355 __isConfig = None
355 __nsubplots = None
356 __nsubplots = None
356
357
357 WIDTHPROF = None
358 WIDTHPROF = None
358 HEIGHTPROF = None
359 HEIGHTPROF = None
359 PREFIX = 'wind'
360 PREFIX = 'wind'
360
361
361 def __init__(self):
362 def __init__(self):
362
363
363 self.timerange = None
364 self.timerange = None
364 self.__isConfig = False
365 self.__isConfig = False
365 self.__nsubplots = 1
366 self.__nsubplots = 1
366
367
367 self.WIDTH = 800
368 self.WIDTH = 800
368 self.HEIGHT = 150
369 self.HEIGHT = 150
369 self.WIDTHPROF = 120
370 self.WIDTHPROF = 120
370 self.HEIGHTPROF = 0
371 self.HEIGHTPROF = 0
371 self.counter_imagwr = 0
372 self.counter_imagwr = 0
372
373
373 self.PLOT_CODE = WIND_CODE
374 self.PLOT_CODE = WIND_CODE
374
375
375 self.FTP_WEI = None
376 self.FTP_WEI = None
376 self.EXP_CODE = None
377 self.EXP_CODE = None
377 self.SUB_EXP_CODE = None
378 self.SUB_EXP_CODE = None
378 self.PLOT_POS = None
379 self.PLOT_POS = None
379 self.tmin = None
380 self.tmin = None
380 self.tmax = None
381 self.tmax = None
381
382
382 self.xmin = None
383 self.xmin = None
383 self.xmax = None
384 self.xmax = None
384
385
385 self.figfile = None
386 self.figfile = None
386
387
387 def getSubplots(self):
388 def getSubplots(self):
388
389
389 ncol = 1
390 ncol = 1
390 nrow = self.nplots
391 nrow = self.nplots
391
392
392 return nrow, ncol
393 return nrow, ncol
393
394
394 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
395 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
395
396
396 self.__showprofile = showprofile
397 self.__showprofile = showprofile
397 self.nplots = nplots
398 self.nplots = nplots
398
399
399 ncolspan = 1
400 ncolspan = 1
400 colspan = 1
401 colspan = 1
401
402
402 self.createFigure(id = id,
403 self.createFigure(id = id,
403 wintitle = wintitle,
404 wintitle = wintitle,
404 widthplot = self.WIDTH + self.WIDTHPROF,
405 widthplot = self.WIDTH + self.WIDTHPROF,
405 heightplot = self.HEIGHT + self.HEIGHTPROF,
406 heightplot = self.HEIGHT + self.HEIGHTPROF,
406 show=show)
407 show=show)
407
408
408 nrow, ncol = self.getSubplots()
409 nrow, ncol = self.getSubplots()
409
410
410 counter = 0
411 counter = 0
411 for y in range(nrow):
412 for y in range(nrow):
412 if counter >= self.nplots:
413 if counter >= self.nplots:
413 break
414 break
414
415
415 self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1)
416 self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1)
416 counter += 1
417 counter += 1
417
418
418 def run(self, dataOut, id, wintitle="", channelList=None, showprofile='False',
419 def run(self, dataOut, id, wintitle="", channelList=None, showprofile='False',
419 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
420 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
420 zmax_ver = None, zmin_ver = None, SNRmin = None, SNRmax = None,
421 zmax_ver = None, zmin_ver = None, SNRmin = None, SNRmax = None,
421 timerange=None, SNRthresh = None,
422 timerange=None, SNRthresh = None,
422 save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
423 save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
423 server=None, folder=None, username=None, password=None,
424 server=None, folder=None, username=None, password=None,
424 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
425 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
425 """
426 """
426
427
427 Input:
428 Input:
428 dataOut :
429 dataOut :
429 id :
430 id :
430 wintitle :
431 wintitle :
431 channelList :
432 channelList :
432 showProfile :
433 showProfile :
433 xmin : None,
434 xmin : None,
434 xmax : None,
435 xmax : None,
435 ymin : None,
436 ymin : None,
436 ymax : None,
437 ymax : None,
437 zmin : None,
438 zmin : None,
438 zmax : None
439 zmax : None
439 """
440 """
440
441
441 if channelList == None:
442 if channelList == None:
442 channelIndexList = dataOut.channelIndexList
443 channelIndexList = dataOut.channelIndexList
443 else:
444 else:
444 channelIndexList = []
445 channelIndexList = []
445 for channel in channelList:
446 for channel in channelList:
446 if channel not in dataOut.channelList:
447 if channel not in dataOut.channelList:
447 raise ValueError, "Channel %d is not in dataOut.channelList"
448 raise ValueError, "Channel %d is not in dataOut.channelList"
448 channelIndexList.append(dataOut.channelList.index(channel))
449 channelIndexList.append(dataOut.channelList.index(channel))
449
450
450 # if timerange is not None:
451 # if timerange is not None:
451 # self.timerange = timerange
452 # self.timerange = timerange
452 #
453 #
453 # tmin = None
454 # tmin = None
454 # tmax = None
455 # tmax = None
455
456
456 x = dataOut.getTimeRange1()
457 x = dataOut.getTimeRange1()
457 # y = dataOut.heightList
458 # y = dataOut.heightList
458 y = dataOut.heightList
459 y = dataOut.heightList
459
460
460 z = dataOut.data_output.copy()
461 z = dataOut.data_output.copy()
461 nplots = z.shape[0] #Number of wind dimensions estimated
462 nplots = z.shape[0] #Number of wind dimensions estimated
462 nplotsw = nplots
463 nplotsw = nplots
463
464
464 #If there is a SNR function defined
465 #If there is a SNR function defined
465 if dataOut.data_SNR is not None:
466 if dataOut.data_SNR is not None:
466 nplots += 1
467 nplots += 1
467 SNR = dataOut.data_SNR
468 SNR = dataOut.data_SNR
468 SNRavg = numpy.average(SNR, axis=0)
469 SNRavg = numpy.average(SNR, axis=0)
469
470
470 SNRdB = 10*numpy.log10(SNR)
471 SNRdB = 10*numpy.log10(SNR)
471 SNRavgdB = 10*numpy.log10(SNRavg)
472 SNRavgdB = 10*numpy.log10(SNRavg)
472
473
473 if SNRthresh == None: SNRthresh = -5.0
474 if SNRthresh == None: SNRthresh = -5.0
474 ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0]
475 ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0]
475
476
476 for i in range(nplotsw):
477 for i in range(nplotsw):
477 z[i,ind] = numpy.nan
478 z[i,ind] = numpy.nan
478
479
479
480
480 # showprofile = False
481 # showprofile = False
481 # thisDatetime = dataOut.datatime
482 # thisDatetime = dataOut.datatime
482 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
483 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
483 title = wintitle + "Wind"
484 title = wintitle + "Wind"
484 xlabel = ""
485 xlabel = ""
485 ylabel = "Range (Km)"
486 ylabel = "Range (Km)"
486 update_figfile = False
487 update_figfile = False
487
488
488 if not self.__isConfig:
489 if not self.__isConfig:
489
490
490 self.setup(id=id,
491 self.setup(id=id,
491 nplots=nplots,
492 nplots=nplots,
492 wintitle=wintitle,
493 wintitle=wintitle,
493 showprofile=showprofile,
494 showprofile=showprofile,
494 show=show)
495 show=show)
495
496
496 if timerange is not None:
497 if timerange is not None:
497 self.timerange = timerange
498 self.timerange = timerange
498
499
499 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
500 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
500
501
501 if ymin == None: ymin = numpy.nanmin(y)
502 if ymin == None: ymin = numpy.nanmin(y)
502 if ymax == None: ymax = numpy.nanmax(y)
503 if ymax == None: ymax = numpy.nanmax(y)
503
504
504 if zmax == None: zmax = numpy.nanmax(abs(z[range(2),:]))
505 if zmax == None: zmax = numpy.nanmax(abs(z[range(2),:]))
505 #if numpy.isnan(zmax): zmax = 50
506 #if numpy.isnan(zmax): zmax = 50
506 if zmin == None: zmin = -zmax
507 if zmin == None: zmin = -zmax
507
508
508 if nplotsw == 3:
509 if nplotsw == 3:
509 if zmax_ver == None: zmax_ver = numpy.nanmax(abs(z[2,:]))
510 if zmax_ver == None: zmax_ver = numpy.nanmax(abs(z[2,:]))
510 if zmin_ver == None: zmin_ver = -zmax_ver
511 if zmin_ver == None: zmin_ver = -zmax_ver
511
512
512 if dataOut.data_SNR is not None:
513 if dataOut.data_SNR is not None:
513 if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB)
514 if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB)
514 if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB)
515 if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB)
515
516
516
517
517 self.FTP_WEI = ftp_wei
518 self.FTP_WEI = ftp_wei
518 self.EXP_CODE = exp_code
519 self.EXP_CODE = exp_code
519 self.SUB_EXP_CODE = sub_exp_code
520 self.SUB_EXP_CODE = sub_exp_code
520 self.PLOT_POS = plot_pos
521 self.PLOT_POS = plot_pos
521
522
522 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
523 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
523 self.__isConfig = True
524 self.__isConfig = True
524 self.figfile = figfile
525 self.figfile = figfile
525 update_figfile = True
526 update_figfile = True
526
527
527 self.setWinTitle(title)
528 self.setWinTitle(title)
528
529
529 if ((self.xmax - x[1]) < (x[1]-x[0])):
530 if ((self.xmax - x[1]) < (x[1]-x[0])):
530 x[1] = self.xmax
531 x[1] = self.xmax
531
532
532 strWind = ['Zonal', 'Meridional', 'Vertical']
533 strWind = ['Zonal', 'Meridional', 'Vertical']
533 strCb = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)']
534 strCb = ['Velocity (m/s)','Velocity (m/s)','Velocity (cm/s)']
534 zmaxVector = [zmax, zmax, zmax_ver]
535 zmaxVector = [zmax, zmax, zmax_ver]
535 zminVector = [zmin, zmin, zmin_ver]
536 zminVector = [zmin, zmin, zmin_ver]
536 windFactor = [1,1,100]
537 windFactor = [1,1,100]
537
538
538 for i in range(nplotsw):
539 for i in range(nplotsw):
539
540
540 title = "%s Wind: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
541 title = "%s Wind: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
541 axes = self.axesList[i*self.__nsubplots]
542 axes = self.axesList[i*self.__nsubplots]
542
543
543 z1 = z[i,:].reshape((1,-1))*windFactor[i]
544 z1 = z[i,:].reshape((1,-1))*windFactor[i]
544
545
545 axes.pcolorbuffer(x, y, z1,
546 axes.pcolorbuffer(x, y, z1,
546 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i],
547 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i],
547 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
548 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
548 ticksize=9, cblabel=strCb[i], cbsize="1%", colormap="RdBu_r" )
549 ticksize=9, cblabel=strCb[i], cbsize="1%", colormap="RdBu_r" )
549
550
550 if dataOut.data_SNR is not None:
551 if dataOut.data_SNR is not None:
551 i += 1
552 i += 1
552 title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
553 title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
553 axes = self.axesList[i*self.__nsubplots]
554 axes = self.axesList[i*self.__nsubplots]
554
555
555 SNRavgdB = SNRavgdB.reshape((1,-1))
556 SNRavgdB = SNRavgdB.reshape((1,-1))
556
557
557 axes.pcolorbuffer(x, y, SNRavgdB,
558 axes.pcolorbuffer(x, y, SNRavgdB,
558 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
559 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
559 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
560 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
560 ticksize=9, cblabel='', cbsize="1%", colormap="jet")
561 ticksize=9, cblabel='', cbsize="1%", colormap="jet")
561
562
562 self.draw()
563 self.draw()
563
564
564 if dataOut.ltctime >= self.xmax:
565 if dataOut.ltctime >= self.xmax:
565 self.counter_imagwr = wr_period
566 self.counter_imagwr = wr_period
566 self.__isConfig = False
567 self.__isConfig = False
567 update_figfile = True
568 update_figfile = True
568
569
569 self.save(figpath=figpath,
570 self.save(figpath=figpath,
570 figfile=figfile,
571 figfile=figfile,
571 save=save,
572 save=save,
572 ftp=ftp,
573 ftp=ftp,
573 wr_period=wr_period,
574 wr_period=wr_period,
574 thisDatetime=thisDatetime,
575 thisDatetime=thisDatetime,
575 update_figfile=update_figfile)
576 update_figfile=update_figfile)
576
577
577
578
578
579
579 class ParametersPlot(Figure):
580 class ParametersPlot(Figure):
580
581
581 __isConfig = None
582 __isConfig = None
582 __nsubplots = None
583 __nsubplots = None
583
584
584 WIDTHPROF = None
585 WIDTHPROF = None
585 HEIGHTPROF = None
586 HEIGHTPROF = None
586 PREFIX = 'prm'
587 PREFIX = 'prm'
587
588
588 def __init__(self):
589 def __init__(self):
589
590
590 self.timerange = 2*60*60
591 self.timerange = 2*60*60
591 self.__isConfig = False
592 self.__isConfig = False
592 self.__nsubplots = 1
593 self.__nsubplots = 1
593
594
594 self.WIDTH = 800
595 self.WIDTH = 800
595 self.HEIGHT = 150
596 self.HEIGHT = 150
596 self.WIDTHPROF = 120
597 self.WIDTHPROF = 120
597 self.HEIGHTPROF = 0
598 self.HEIGHTPROF = 0
598 self.counter_imagwr = 0
599 self.counter_imagwr = 0
599
600
600 self.PLOT_CODE = PARMS_CODE
601 self.PLOT_CODE = PARMS_CODE
601
602
602 self.FTP_WEI = None
603 self.FTP_WEI = None
603 self.EXP_CODE = None
604 self.EXP_CODE = None
604 self.SUB_EXP_CODE = None
605 self.SUB_EXP_CODE = None
605 self.PLOT_POS = None
606 self.PLOT_POS = None
606 self.tmin = None
607 self.tmin = None
607 self.tmax = None
608 self.tmax = None
608
609
609 self.xmin = None
610 self.xmin = None
610 self.xmax = None
611 self.xmax = None
611
612
612 self.figfile = None
613 self.figfile = None
613
614
614 def getSubplots(self):
615 def getSubplots(self):
615
616
616 ncol = 1
617 ncol = 1
617 nrow = self.nplots
618 nrow = self.nplots
618
619
619 return nrow, ncol
620 return nrow, ncol
620
621
621 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
622 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
622
623
623 self.__showprofile = showprofile
624 self.__showprofile = showprofile
624 self.nplots = nplots
625 self.nplots = nplots
625
626
626 ncolspan = 1
627 ncolspan = 1
627 colspan = 1
628 colspan = 1
628
629
629 self.createFigure(id = id,
630 self.createFigure(id = id,
630 wintitle = wintitle,
631 wintitle = wintitle,
631 widthplot = self.WIDTH + self.WIDTHPROF,
632 widthplot = self.WIDTH + self.WIDTHPROF,
632 heightplot = self.HEIGHT + self.HEIGHTPROF,
633 heightplot = self.HEIGHT + self.HEIGHTPROF,
633 show=show)
634 show=show)
634
635
635 nrow, ncol = self.getSubplots()
636 nrow, ncol = self.getSubplots()
636
637
637 counter = 0
638 counter = 0
638 for y in range(nrow):
639 for y in range(nrow):
639 for x in range(ncol):
640 for x in range(ncol):
640
641
641 if counter >= self.nplots:
642 if counter >= self.nplots:
642 break
643 break
643
644
644 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
645 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
645
646
646 if showprofile:
647 if showprofile:
647 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
648 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
648
649
649 counter += 1
650 counter += 1
650
651
651 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False,
652 def run(self, dataOut, id, wintitle="", channelList=None, showprofile=False,
652 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,timerange=None,
653 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,timerange=None,
653 parameterIndex = None, onlyPositive = False,
654 parameterIndex = None, onlyPositive = False,
654 SNRthresh = -numpy.inf, SNR = True, SNRmin = None, SNRmax = None, onlySNR = False,
655 SNRthresh = -numpy.inf, SNR = True, SNRmin = None, SNRmax = None, onlySNR = False,
655 DOP = True,
656 DOP = True,
656 zlabel = "", parameterName = "", parameterObject = "data_param",
657 zlabel = "", parameterName = "", parameterObject = "data_param",
657 save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
658 save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
658 server=None, folder=None, username=None, password=None,
659 server=None, folder=None, username=None, password=None,
659 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
660 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
660
661
661 """
662 """
662
663
663 Input:
664 Input:
664 dataOut :
665 dataOut :
665 id :
666 id :
666 wintitle :
667 wintitle :
667 channelList :
668 channelList :
668 showProfile :
669 showProfile :
669 xmin : None,
670 xmin : None,
670 xmax : None,
671 xmax : None,
671 ymin : None,
672 ymin : None,
672 ymax : None,
673 ymax : None,
673 zmin : None,
674 zmin : None,
674 zmax : None
675 zmax : None
675 """
676 """
676
677
677 data_param = getattr(dataOut, parameterObject)
678 data_param = getattr(dataOut, parameterObject)
678
679
679 if channelList == None:
680 if channelList == None:
680 channelIndexList = numpy.arange(data_param.shape[0])
681 channelIndexList = numpy.arange(data_param.shape[0])
681 else:
682 else:
682 channelIndexList = numpy.array(channelList)
683 channelIndexList = numpy.array(channelList)
683
684
684 nchan = len(channelIndexList) #Number of channels being plotted
685 nchan = len(channelIndexList) #Number of channels being plotted
685
686
686 if nchan < 1:
687 if nchan < 1:
687 return
688 return
688
689
689 nGraphsByChannel = 0
690 nGraphsByChannel = 0
690
691
691 if SNR:
692 if SNR:
692 nGraphsByChannel += 1
693 nGraphsByChannel += 1
693 if DOP:
694 if DOP:
694 nGraphsByChannel += 1
695 nGraphsByChannel += 1
695
696
696 if nGraphsByChannel < 1:
697 if nGraphsByChannel < 1:
697 return
698 return
698
699
699 nplots = nGraphsByChannel*nchan
700 nplots = nGraphsByChannel*nchan
700
701
701 if timerange is not None:
702 if timerange is not None:
702 self.timerange = timerange
703 self.timerange = timerange
703
704
704 #tmin = None
705 #tmin = None
705 #tmax = None
706 #tmax = None
706 if parameterIndex == None:
707 if parameterIndex == None:
707 parameterIndex = 1
708 parameterIndex = 1
708
709
709 x = dataOut.getTimeRange1()
710 x = dataOut.getTimeRange1()
710 y = dataOut.heightList
711 y = dataOut.heightList
711 z = data_param[channelIndexList,parameterIndex,:].copy()
712 z = data_param[channelIndexList,parameterIndex,:].copy()
712
713
713 zRange = dataOut.abscissaList
714 zRange = dataOut.abscissaList
714 # nChannels = z.shape[0] #Number of wind dimensions estimated
715 # nChannels = z.shape[0] #Number of wind dimensions estimated
715 # thisDatetime = dataOut.datatime
716 # thisDatetime = dataOut.datatime
716
717
717 if dataOut.data_SNR is not None:
718 if dataOut.data_SNR is not None:
718 SNRarray = dataOut.data_SNR[channelIndexList,:]
719 SNRarray = dataOut.data_SNR[channelIndexList,:]
719 SNRdB = 10*numpy.log10(SNRarray)
720 SNRdB = 10*numpy.log10(SNRarray)
720 # SNRavgdB = 10*numpy.log10(SNRavg)
721 # SNRavgdB = 10*numpy.log10(SNRavg)
721 ind = numpy.where(SNRdB < 10**(SNRthresh/10))
722 ind = numpy.where(SNRdB < 10**(SNRthresh/10))
722 z[ind] = numpy.nan
723 z[ind] = numpy.nan
723
724
724 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
725 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
725 title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
726 title = wintitle + " Parameters Plot" #: %s" %(thisDatetime.strftime("%d-%b-%Y"))
726 xlabel = ""
727 xlabel = ""
727 ylabel = "Range (Km)"
728 ylabel = "Range (Km)"
728
729
729 if (SNR and not onlySNR): nplots = 2*nplots
730 if (SNR and not onlySNR): nplots = 2*nplots
730
731
731 if onlyPositive:
732 if onlyPositive:
732 colormap = "jet"
733 colormap = "jet"
733 zmin = 0
734 zmin = 0
734 else: colormap = "RdBu_r"
735 else: colormap = "RdBu_r"
735
736
736 if not self.__isConfig:
737 if not self.__isConfig:
737
738
738 self.setup(id=id,
739 self.setup(id=id,
739 nplots=nplots,
740 nplots=nplots,
740 wintitle=wintitle,
741 wintitle=wintitle,
741 showprofile=showprofile,
742 showprofile=showprofile,
742 show=show)
743 show=show)
743
744
744 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
745 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
745
746
746 if ymin == None: ymin = numpy.nanmin(y)
747 if ymin == None: ymin = numpy.nanmin(y)
747 if ymax == None: ymax = numpy.nanmax(y)
748 if ymax == None: ymax = numpy.nanmax(y)
748 if zmin == None: zmin = numpy.nanmin(zRange)
749 if zmin == None: zmin = numpy.nanmin(zRange)
749 if zmax == None: zmax = numpy.nanmax(zRange)
750 if zmax == None: zmax = numpy.nanmax(zRange)
750
751
751 if SNR:
752 if SNR:
752 if SNRmin == None: SNRmin = numpy.nanmin(SNRdB)
753 if SNRmin == None: SNRmin = numpy.nanmin(SNRdB)
753 if SNRmax == None: SNRmax = numpy.nanmax(SNRdB)
754 if SNRmax == None: SNRmax = numpy.nanmax(SNRdB)
754
755
755 self.FTP_WEI = ftp_wei
756 self.FTP_WEI = ftp_wei
756 self.EXP_CODE = exp_code
757 self.EXP_CODE = exp_code
757 self.SUB_EXP_CODE = sub_exp_code
758 self.SUB_EXP_CODE = sub_exp_code
758 self.PLOT_POS = plot_pos
759 self.PLOT_POS = plot_pos
759
760
760 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
761 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
761 self.__isConfig = True
762 self.__isConfig = True
762 self.figfile = figfile
763 self.figfile = figfile
763
764
764 self.setWinTitle(title)
765 self.setWinTitle(title)
765
766
766 if ((self.xmax - x[1]) < (x[1]-x[0])):
767 if ((self.xmax - x[1]) < (x[1]-x[0])):
767 x[1] = self.xmax
768 x[1] = self.xmax
768
769
769 for i in range(nchan):
770 for i in range(nchan):
770
771
771 if (SNR and not onlySNR): j = 2*i
772 if (SNR and not onlySNR): j = 2*i
772 else: j = i
773 else: j = i
773
774
774 j = nGraphsByChannel*i
775 j = nGraphsByChannel*i
775
776
776 if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
777 if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
777 title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
778 title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
778
779
779 if not onlySNR:
780 if not onlySNR:
780 axes = self.axesList[j*self.__nsubplots]
781 axes = self.axesList[j*self.__nsubplots]
781 z1 = z[i,:].reshape((1,-1))
782 z1 = z[i,:].reshape((1,-1))
782 axes.pcolorbuffer(x, y, z1,
783 axes.pcolorbuffer(x, y, z1,
783 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
784 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
784 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap,
785 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap,
785 ticksize=9, cblabel=zlabel, cbsize="1%")
786 ticksize=9, cblabel=zlabel, cbsize="1%")
786
787
787 if DOP:
788 if DOP:
788 title = "%s Channel %d: %s" %(parameterName, channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
789 title = "%s Channel %d: %s" %(parameterName, channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
789
790
790 if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
791 if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
791 title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
792 title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
792 axes = self.axesList[j]
793 axes = self.axesList[j]
793 z1 = z[i,:].reshape((1,-1))
794 z1 = z[i,:].reshape((1,-1))
794 axes.pcolorbuffer(x, y, z1,
795 axes.pcolorbuffer(x, y, z1,
795 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
796 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
796 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap,
797 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap=colormap,
797 ticksize=9, cblabel=zlabel, cbsize="1%")
798 ticksize=9, cblabel=zlabel, cbsize="1%")
798
799
799 if SNR:
800 if SNR:
800 title = "Channel %d Signal Noise Ratio (SNR): %s" %(channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
801 title = "Channel %d Signal Noise Ratio (SNR): %s" %(channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
801 axes = self.axesList[(j)*self.__nsubplots]
802 axes = self.axesList[(j)*self.__nsubplots]
802 if not onlySNR:
803 if not onlySNR:
803 axes = self.axesList[(j + 1)*self.__nsubplots]
804 axes = self.axesList[(j + 1)*self.__nsubplots]
804
805
805 axes = self.axesList[(j + nGraphsByChannel-1)]
806 axes = self.axesList[(j + nGraphsByChannel-1)]
806
807
807 z1 = SNRdB[i,:].reshape((1,-1))
808 z1 = SNRdB[i,:].reshape((1,-1))
808 axes.pcolorbuffer(x, y, z1,
809 axes.pcolorbuffer(x, y, z1,
809 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
810 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
810 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap="jet",
811 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,colormap="jet",
811 ticksize=9, cblabel=zlabel, cbsize="1%")
812 ticksize=9, cblabel=zlabel, cbsize="1%")
812
813
813
814
814
815
815 self.draw()
816 self.draw()
816
817
817 if x[1] >= self.axesList[0].xmax:
818 if x[1] >= self.axesList[0].xmax:
818 self.counter_imagwr = wr_period
819 self.counter_imagwr = wr_period
819 self.__isConfig = False
820 self.__isConfig = False
820 self.figfile = None
821 self.figfile = None
821
822
822 self.save(figpath=figpath,
823 self.save(figpath=figpath,
823 figfile=figfile,
824 figfile=figfile,
824 save=save,
825 save=save,
825 ftp=ftp,
826 ftp=ftp,
826 wr_period=wr_period,
827 wr_period=wr_period,
827 thisDatetime=thisDatetime,
828 thisDatetime=thisDatetime,
828 update_figfile=False)
829 update_figfile=False)
829
830
830 class SpectralFittingPlot(Figure):
831 class SpectralFittingPlot(Figure):
831
832
832 __isConfig = None
833 __isConfig = None
833 __nsubplots = None
834 __nsubplots = None
834
835
835 WIDTHPROF = None
836 WIDTHPROF = None
836 HEIGHTPROF = None
837 HEIGHTPROF = None
837 PREFIX = 'prm'
838 PREFIX = 'prm'
838
839
839
840
840 N = None
841 N = None
841 ippSeconds = None
842 ippSeconds = None
842
843
843 def __init__(self):
844 def __init__(self):
844 self.__isConfig = False
845 self.__isConfig = False
845 self.__nsubplots = 1
846 self.__nsubplots = 1
846
847
847 self.PLOT_CODE = SPECFIT_CODE
848 self.PLOT_CODE = SPECFIT_CODE
848
849
849 self.WIDTH = 450
850 self.WIDTH = 450
850 self.HEIGHT = 250
851 self.HEIGHT = 250
851 self.WIDTHPROF = 0
852 self.WIDTHPROF = 0
852 self.HEIGHTPROF = 0
853 self.HEIGHTPROF = 0
853
854
854 def getSubplots(self):
855 def getSubplots(self):
855
856
856 ncol = int(numpy.sqrt(self.nplots)+0.9)
857 ncol = int(numpy.sqrt(self.nplots)+0.9)
857 nrow = int(self.nplots*1./ncol + 0.9)
858 nrow = int(self.nplots*1./ncol + 0.9)
858
859
859 return nrow, ncol
860 return nrow, ncol
860
861
861 def setup(self, id, nplots, wintitle, showprofile=False, show=True):
862 def setup(self, id, nplots, wintitle, showprofile=False, show=True):
862
863
863 showprofile = False
864 showprofile = False
864 self.__showprofile = showprofile
865 self.__showprofile = showprofile
865 self.nplots = nplots
866 self.nplots = nplots
866
867
867 ncolspan = 5
868 ncolspan = 5
868 colspan = 4
869 colspan = 4
869 if showprofile:
870 if showprofile:
870 ncolspan = 5
871 ncolspan = 5
871 colspan = 4
872 colspan = 4
872 self.__nsubplots = 2
873 self.__nsubplots = 2
873
874
874 self.createFigure(id = id,
875 self.createFigure(id = id,
875 wintitle = wintitle,
876 wintitle = wintitle,
876 widthplot = self.WIDTH + self.WIDTHPROF,
877 widthplot = self.WIDTH + self.WIDTHPROF,
877 heightplot = self.HEIGHT + self.HEIGHTPROF,
878 heightplot = self.HEIGHT + self.HEIGHTPROF,
878 show=show)
879 show=show)
879
880
880 nrow, ncol = self.getSubplots()
881 nrow, ncol = self.getSubplots()
881
882
882 counter = 0
883 counter = 0
883 for y in range(nrow):
884 for y in range(nrow):
884 for x in range(ncol):
885 for x in range(ncol):
885
886
886 if counter >= self.nplots:
887 if counter >= self.nplots:
887 break
888 break
888
889
889 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
890 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan, colspan, 1)
890
891
891 if showprofile:
892 if showprofile:
892 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
893 self.addAxes(nrow, ncol*ncolspan, y, x*ncolspan+colspan, 1, 1)
893
894
894 counter += 1
895 counter += 1
895
896
896 def run(self, dataOut, id, cutHeight=None, fit=False, wintitle="", channelList=None, showprofile=True,
897 def run(self, dataOut, id, cutHeight=None, fit=False, wintitle="", channelList=None, showprofile=True,
897 xmin=None, xmax=None, ymin=None, ymax=None,
898 xmin=None, xmax=None, ymin=None, ymax=None,
898 save=False, figpath='./', figfile=None, show=True):
899 save=False, figpath='./', figfile=None, show=True):
899
900
900 """
901 """
901
902
902 Input:
903 Input:
903 dataOut :
904 dataOut :
904 id :
905 id :
905 wintitle :
906 wintitle :
906 channelList :
907 channelList :
907 showProfile :
908 showProfile :
908 xmin : None,
909 xmin : None,
909 xmax : None,
910 xmax : None,
910 zmin : None,
911 zmin : None,
911 zmax : None
912 zmax : None
912 """
913 """
913
914
914 if cutHeight==None:
915 if cutHeight==None:
915 h=270
916 h=270
916 heightindex = numpy.abs(cutHeight - dataOut.heightList).argmin()
917 heightindex = numpy.abs(cutHeight - dataOut.heightList).argmin()
917 cutHeight = dataOut.heightList[heightindex]
918 cutHeight = dataOut.heightList[heightindex]
918
919
919 factor = dataOut.normFactor
920 factor = dataOut.normFactor
920 x = dataOut.abscissaList[:-1]
921 x = dataOut.abscissaList[:-1]
921 #y = dataOut.getHeiRange()
922 #y = dataOut.getHeiRange()
922
923
923 z = dataOut.data_pre[:,:,heightindex]/factor
924 z = dataOut.data_pre[:,:,heightindex]/factor
924 z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
925 z = numpy.where(numpy.isfinite(z), z, numpy.NAN)
925 avg = numpy.average(z, axis=1)
926 avg = numpy.average(z, axis=1)
926 listChannels = z.shape[0]
927 listChannels = z.shape[0]
927
928
928 #Reconstruct Function
929 #Reconstruct Function
929 if fit==True:
930 if fit==True:
930 groupArray = dataOut.groupList
931 groupArray = dataOut.groupList
931 listChannels = groupArray.reshape((groupArray.size))
932 listChannels = groupArray.reshape((groupArray.size))
932 listChannels.sort()
933 listChannels.sort()
933 spcFitLine = numpy.zeros(z.shape)
934 spcFitLine = numpy.zeros(z.shape)
934 constants = dataOut.constants
935 constants = dataOut.constants
935
936
936 nGroups = groupArray.shape[0]
937 nGroups = groupArray.shape[0]
937 nChannels = groupArray.shape[1]
938 nChannels = groupArray.shape[1]
938 nProfiles = z.shape[1]
939 nProfiles = z.shape[1]
939
940
940 for f in range(nGroups):
941 for f in range(nGroups):
941 groupChann = groupArray[f,:]
942 groupChann = groupArray[f,:]
942 p = dataOut.data_param[f,:,heightindex]
943 p = dataOut.data_param[f,:,heightindex]
943 # p = numpy.array([ 89.343967,0.14036615,0.17086219,18.89835291,1.58388365,1.55099167])
944 # p = numpy.array([ 89.343967,0.14036615,0.17086219,18.89835291,1.58388365,1.55099167])
944 fitLineAux = dataOut.library.modelFunction(p, constants)*nProfiles
945 fitLineAux = dataOut.library.modelFunction(p, constants)*nProfiles
945 fitLineAux = fitLineAux.reshape((nChannels,nProfiles))
946 fitLineAux = fitLineAux.reshape((nChannels,nProfiles))
946 spcFitLine[groupChann,:] = fitLineAux
947 spcFitLine[groupChann,:] = fitLineAux
947 # spcFitLine = spcFitLine/factor
948 # spcFitLine = spcFitLine/factor
948
949
949 z = z[listChannels,:]
950 z = z[listChannels,:]
950 spcFitLine = spcFitLine[listChannels,:]
951 spcFitLine = spcFitLine[listChannels,:]
951 spcFitLinedB = 10*numpy.log10(spcFitLine)
952 spcFitLinedB = 10*numpy.log10(spcFitLine)
952
953
953 zdB = 10*numpy.log10(z)
954 zdB = 10*numpy.log10(z)
954 #thisDatetime = dataOut.datatime
955 #thisDatetime = dataOut.datatime
955 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
956 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[0])
956 title = wintitle + " Doppler Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
957 title = wintitle + " Doppler Spectra: %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
957 xlabel = "Velocity (m/s)"
958 xlabel = "Velocity (m/s)"
958 ylabel = "Spectrum"
959 ylabel = "Spectrum"
959
960
960 if not self.__isConfig:
961 if not self.__isConfig:
961
962
962 nplots = listChannels.size
963 nplots = listChannels.size
963
964
964 self.setup(id=id,
965 self.setup(id=id,
965 nplots=nplots,
966 nplots=nplots,
966 wintitle=wintitle,
967 wintitle=wintitle,
967 showprofile=showprofile,
968 showprofile=showprofile,
968 show=show)
969 show=show)
969
970
970 if xmin == None: xmin = numpy.nanmin(x)
971 if xmin == None: xmin = numpy.nanmin(x)
971 if xmax == None: xmax = numpy.nanmax(x)
972 if xmax == None: xmax = numpy.nanmax(x)
972 if ymin == None: ymin = numpy.nanmin(zdB)
973 if ymin == None: ymin = numpy.nanmin(zdB)
973 if ymax == None: ymax = numpy.nanmax(zdB)+2
974 if ymax == None: ymax = numpy.nanmax(zdB)+2
974
975
975 self.__isConfig = True
976 self.__isConfig = True
976
977
977 self.setWinTitle(title)
978 self.setWinTitle(title)
978 for i in range(self.nplots):
979 for i in range(self.nplots):
979 # title = "Channel %d: %4.2fdB" %(dataOut.channelList[i]+1, noisedB[i])
980 # title = "Channel %d: %4.2fdB" %(dataOut.channelList[i]+1, noisedB[i])
980 title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i])
981 title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i])
981 axes = self.axesList[i*self.__nsubplots]
982 axes = self.axesList[i*self.__nsubplots]
982 if fit == False:
983 if fit == False:
983 axes.pline(x, zdB[i,:],
984 axes.pline(x, zdB[i,:],
984 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
985 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
985 xlabel=xlabel, ylabel=ylabel, title=title
986 xlabel=xlabel, ylabel=ylabel, title=title
986 )
987 )
987 if fit == True:
988 if fit == True:
988 fitline=spcFitLinedB[i,:]
989 fitline=spcFitLinedB[i,:]
989 y=numpy.vstack([zdB[i,:],fitline] )
990 y=numpy.vstack([zdB[i,:],fitline] )
990 legendlabels=['Data','Fitting']
991 legendlabels=['Data','Fitting']
991 axes.pmultilineyaxis(x, y,
992 axes.pmultilineyaxis(x, y,
992 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
993 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,
993 xlabel=xlabel, ylabel=ylabel, title=title,
994 xlabel=xlabel, ylabel=ylabel, title=title,
994 legendlabels=legendlabels, marker=None,
995 legendlabels=legendlabels, marker=None,
995 linestyle='solid', grid='both')
996 linestyle='solid', grid='both')
996
997
997 self.draw()
998 self.draw()
998
999
999 self.save(figpath=figpath,
1000 self.save(figpath=figpath,
1000 figfile=figfile,
1001 figfile=figfile,
1001 save=save,
1002 save=save,
1002 ftp=ftp,
1003 ftp=ftp,
1003 wr_period=wr_period,
1004 wr_period=wr_period,
1004 thisDatetime=thisDatetime)
1005 thisDatetime=thisDatetime)
1005
1006
1006
1007
1007 class EWDriftsPlot(Figure):
1008 class EWDriftsPlot(Figure):
1008
1009
1009 __isConfig = None
1010 __isConfig = None
1010 __nsubplots = None
1011 __nsubplots = None
1011
1012
1012 WIDTHPROF = None
1013 WIDTHPROF = None
1013 HEIGHTPROF = None
1014 HEIGHTPROF = None
1014 PREFIX = 'drift'
1015 PREFIX = 'drift'
1015
1016
1016 def __init__(self):
1017 def __init__(self):
1017
1018
1018 self.timerange = 2*60*60
1019 self.timerange = 2*60*60
1019 self.isConfig = False
1020 self.isConfig = False
1020 self.__nsubplots = 1
1021 self.__nsubplots = 1
1021
1022
1022 self.WIDTH = 800
1023 self.WIDTH = 800
1023 self.HEIGHT = 150
1024 self.HEIGHT = 150
1024 self.WIDTHPROF = 120
1025 self.WIDTHPROF = 120
1025 self.HEIGHTPROF = 0
1026 self.HEIGHTPROF = 0
1026 self.counter_imagwr = 0
1027 self.counter_imagwr = 0
1027
1028
1028 self.PLOT_CODE = EWDRIFT_CODE
1029 self.PLOT_CODE = EWDRIFT_CODE
1029
1030
1030 self.FTP_WEI = None
1031 self.FTP_WEI = None
1031 self.EXP_CODE = None
1032 self.EXP_CODE = None
1032 self.SUB_EXP_CODE = None
1033 self.SUB_EXP_CODE = None
1033 self.PLOT_POS = None
1034 self.PLOT_POS = None
1034 self.tmin = None
1035 self.tmin = None
1035 self.tmax = None
1036 self.tmax = None
1036
1037
1037 self.xmin = None
1038 self.xmin = None
1038 self.xmax = None
1039 self.xmax = None
1039
1040
1040 self.figfile = None
1041 self.figfile = None
1041
1042
1042 def getSubplots(self):
1043 def getSubplots(self):
1043
1044
1044 ncol = 1
1045 ncol = 1
1045 nrow = self.nplots
1046 nrow = self.nplots
1046
1047
1047 return nrow, ncol
1048 return nrow, ncol
1048
1049
1049 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
1050 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
1050
1051
1051 self.__showprofile = showprofile
1052 self.__showprofile = showprofile
1052 self.nplots = nplots
1053 self.nplots = nplots
1053
1054
1054 ncolspan = 1
1055 ncolspan = 1
1055 colspan = 1
1056 colspan = 1
1056
1057
1057 self.createFigure(id = id,
1058 self.createFigure(id = id,
1058 wintitle = wintitle,
1059 wintitle = wintitle,
1059 widthplot = self.WIDTH + self.WIDTHPROF,
1060 widthplot = self.WIDTH + self.WIDTHPROF,
1060 heightplot = self.HEIGHT + self.HEIGHTPROF,
1061 heightplot = self.HEIGHT + self.HEIGHTPROF,
1061 show=show)
1062 show=show)
1062
1063
1063 nrow, ncol = self.getSubplots()
1064 nrow, ncol = self.getSubplots()
1064
1065
1065 counter = 0
1066 counter = 0
1066 for y in range(nrow):
1067 for y in range(nrow):
1067 if counter >= self.nplots:
1068 if counter >= self.nplots:
1068 break
1069 break
1069
1070
1070 self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1)
1071 self.addAxes(nrow, ncol*ncolspan, y, 0, colspan, 1)
1071 counter += 1
1072 counter += 1
1072
1073
1073 def run(self, dataOut, id, wintitle="", channelList=None,
1074 def run(self, dataOut, id, wintitle="", channelList=None,
1074 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
1075 xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None,
1075 zmaxVertical = None, zminVertical = None, zmaxZonal = None, zminZonal = None,
1076 zmaxVertical = None, zminVertical = None, zmaxZonal = None, zminZonal = None,
1076 timerange=None, SNRthresh = -numpy.inf, SNRmin = None, SNRmax = None, SNR_1 = False,
1077 timerange=None, SNRthresh = -numpy.inf, SNRmin = None, SNRmax = None, SNR_1 = False,
1077 save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
1078 save=False, figpath='./', lastone=0,figfile=None, ftp=False, wr_period=1, show=True,
1078 server=None, folder=None, username=None, password=None,
1079 server=None, folder=None, username=None, password=None,
1079 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
1080 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
1080 """
1081 """
1081
1082
1082 Input:
1083 Input:
1083 dataOut :
1084 dataOut :
1084 id :
1085 id :
1085 wintitle :
1086 wintitle :
1086 channelList :
1087 channelList :
1087 showProfile :
1088 showProfile :
1088 xmin : None,
1089 xmin : None,
1089 xmax : None,
1090 xmax : None,
1090 ymin : None,
1091 ymin : None,
1091 ymax : None,
1092 ymax : None,
1092 zmin : None,
1093 zmin : None,
1093 zmax : None
1094 zmax : None
1094 """
1095 """
1095
1096
1096 if timerange is not None:
1097 if timerange is not None:
1097 self.timerange = timerange
1098 self.timerange = timerange
1098
1099
1099 tmin = None
1100 tmin = None
1100 tmax = None
1101 tmax = None
1101
1102
1102 x = dataOut.getTimeRange1()
1103 x = dataOut.getTimeRange1()
1103 # y = dataOut.heightList
1104 # y = dataOut.heightList
1104 y = dataOut.heightList
1105 y = dataOut.heightList
1105
1106
1106 z = dataOut.data_output
1107 z = dataOut.data_output
1107 nplots = z.shape[0] #Number of wind dimensions estimated
1108 nplots = z.shape[0] #Number of wind dimensions estimated
1108 nplotsw = nplots
1109 nplotsw = nplots
1109
1110
1110 #If there is a SNR function defined
1111 #If there is a SNR function defined
1111 if dataOut.data_SNR is not None:
1112 if dataOut.data_SNR is not None:
1112 nplots += 1
1113 nplots += 1
1113 SNR = dataOut.data_SNR
1114 SNR = dataOut.data_SNR
1114
1115
1115 if SNR_1:
1116 if SNR_1:
1116 SNR += 1
1117 SNR += 1
1117
1118
1118 SNRavg = numpy.average(SNR, axis=0)
1119 SNRavg = numpy.average(SNR, axis=0)
1119
1120
1120 SNRdB = 10*numpy.log10(SNR)
1121 SNRdB = 10*numpy.log10(SNR)
1121 SNRavgdB = 10*numpy.log10(SNRavg)
1122 SNRavgdB = 10*numpy.log10(SNRavg)
1122
1123
1123 ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0]
1124 ind = numpy.where(SNRavg < 10**(SNRthresh/10))[0]
1124
1125
1125 for i in range(nplotsw):
1126 for i in range(nplotsw):
1126 z[i,ind] = numpy.nan
1127 z[i,ind] = numpy.nan
1127
1128
1128
1129
1129 showprofile = False
1130 showprofile = False
1130 # thisDatetime = dataOut.datatime
1131 # thisDatetime = dataOut.datatime
1131 thisDatetime = datetime.datetime.utcfromtimestamp(x[1])
1132 thisDatetime = datetime.datetime.utcfromtimestamp(x[1])
1132 title = wintitle + " EW Drifts"
1133 title = wintitle + " EW Drifts"
1133 xlabel = ""
1134 xlabel = ""
1134 ylabel = "Height (Km)"
1135 ylabel = "Height (Km)"
1135
1136
1136 if not self.__isConfig:
1137 if not self.__isConfig:
1137
1138
1138 self.setup(id=id,
1139 self.setup(id=id,
1139 nplots=nplots,
1140 nplots=nplots,
1140 wintitle=wintitle,
1141 wintitle=wintitle,
1141 showprofile=showprofile,
1142 showprofile=showprofile,
1142 show=show)
1143 show=show)
1143
1144
1144 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
1145 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
1145
1146
1146 if ymin == None: ymin = numpy.nanmin(y)
1147 if ymin == None: ymin = numpy.nanmin(y)
1147 if ymax == None: ymax = numpy.nanmax(y)
1148 if ymax == None: ymax = numpy.nanmax(y)
1148
1149
1149 if zmaxZonal == None: zmaxZonal = numpy.nanmax(abs(z[0,:]))
1150 if zmaxZonal == None: zmaxZonal = numpy.nanmax(abs(z[0,:]))
1150 if zminZonal == None: zminZonal = -zmaxZonal
1151 if zminZonal == None: zminZonal = -zmaxZonal
1151 if zmaxVertical == None: zmaxVertical = numpy.nanmax(abs(z[1,:]))
1152 if zmaxVertical == None: zmaxVertical = numpy.nanmax(abs(z[1,:]))
1152 if zminVertical == None: zminVertical = -zmaxVertical
1153 if zminVertical == None: zminVertical = -zmaxVertical
1153
1154
1154 if dataOut.data_SNR is not None:
1155 if dataOut.data_SNR is not None:
1155 if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB)
1156 if SNRmin == None: SNRmin = numpy.nanmin(SNRavgdB)
1156 if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB)
1157 if SNRmax == None: SNRmax = numpy.nanmax(SNRavgdB)
1157
1158
1158 self.FTP_WEI = ftp_wei
1159 self.FTP_WEI = ftp_wei
1159 self.EXP_CODE = exp_code
1160 self.EXP_CODE = exp_code
1160 self.SUB_EXP_CODE = sub_exp_code
1161 self.SUB_EXP_CODE = sub_exp_code
1161 self.PLOT_POS = plot_pos
1162 self.PLOT_POS = plot_pos
1162
1163
1163 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
1164 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
1164 self.__isConfig = True
1165 self.__isConfig = True
1165
1166
1166
1167
1167 self.setWinTitle(title)
1168 self.setWinTitle(title)
1168
1169
1169 if ((self.xmax - x[1]) < (x[1]-x[0])):
1170 if ((self.xmax - x[1]) < (x[1]-x[0])):
1170 x[1] = self.xmax
1171 x[1] = self.xmax
1171
1172
1172 strWind = ['Zonal','Vertical']
1173 strWind = ['Zonal','Vertical']
1173 strCb = 'Velocity (m/s)'
1174 strCb = 'Velocity (m/s)'
1174 zmaxVector = [zmaxZonal, zmaxVertical]
1175 zmaxVector = [zmaxZonal, zmaxVertical]
1175 zminVector = [zminZonal, zminVertical]
1176 zminVector = [zminZonal, zminVertical]
1176
1177
1177 for i in range(nplotsw):
1178 for i in range(nplotsw):
1178
1179
1179 title = "%s Drifts: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1180 title = "%s Drifts: %s" %(strWind[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1180 axes = self.axesList[i*self.__nsubplots]
1181 axes = self.axesList[i*self.__nsubplots]
1181
1182
1182 z1 = z[i,:].reshape((1,-1))
1183 z1 = z[i,:].reshape((1,-1))
1183
1184
1184 axes.pcolorbuffer(x, y, z1,
1185 axes.pcolorbuffer(x, y, z1,
1185 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i],
1186 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=zminVector[i], zmax=zmaxVector[i],
1186 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
1187 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
1187 ticksize=9, cblabel=strCb, cbsize="1%", colormap="RdBu_r")
1188 ticksize=9, cblabel=strCb, cbsize="1%", colormap="RdBu_r")
1188
1189
1189 if dataOut.data_SNR is not None:
1190 if dataOut.data_SNR is not None:
1190 i += 1
1191 i += 1
1191 if SNR_1:
1192 if SNR_1:
1192 title = "Signal Noise Ratio + 1 (SNR+1): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1193 title = "Signal Noise Ratio + 1 (SNR+1): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1193 else:
1194 else:
1194 title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1195 title = "Signal Noise Ratio (SNR): %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1195 axes = self.axesList[i*self.__nsubplots]
1196 axes = self.axesList[i*self.__nsubplots]
1196 SNRavgdB = SNRavgdB.reshape((1,-1))
1197 SNRavgdB = SNRavgdB.reshape((1,-1))
1197
1198
1198 axes.pcolorbuffer(x, y, SNRavgdB,
1199 axes.pcolorbuffer(x, y, SNRavgdB,
1199 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
1200 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax, zmin=SNRmin, zmax=SNRmax,
1200 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
1201 xlabel=xlabel, ylabel=ylabel, title=title, rti=True, XAxisAsTime=True,
1201 ticksize=9, cblabel='', cbsize="1%", colormap="jet")
1202 ticksize=9, cblabel='', cbsize="1%", colormap="jet")
1202
1203
1203 self.draw()
1204 self.draw()
1204
1205
1205 if x[1] >= self.axesList[0].xmax:
1206 if x[1] >= self.axesList[0].xmax:
1206 self.counter_imagwr = wr_period
1207 self.counter_imagwr = wr_period
1207 self.__isConfig = False
1208 self.__isConfig = False
1208 self.figfile = None
1209 self.figfile = None
1209
1210
1210
1211
1211
1212
1212
1213
1213 class PhasePlot(Figure):
1214 class PhasePlot(Figure):
1214
1215
1215 __isConfig = None
1216 __isConfig = None
1216 __nsubplots = None
1217 __nsubplots = None
1217
1218
1218 PREFIX = 'mphase'
1219 PREFIX = 'mphase'
1219
1220
1220 def __init__(self):
1221 def __init__(self):
1221
1222
1222 self.timerange = 24*60*60
1223 self.timerange = 24*60*60
1223 self.__isConfig = False
1224 self.__isConfig = False
1224 self.__nsubplots = 1
1225 self.__nsubplots = 1
1225 self.counter_imagwr = 0
1226 self.counter_imagwr = 0
1226 self.WIDTH = 600
1227 self.WIDTH = 600
1227 self.HEIGHT = 300
1228 self.HEIGHT = 300
1228 self.WIDTHPROF = 120
1229 self.WIDTHPROF = 120
1229 self.HEIGHTPROF = 0
1230 self.HEIGHTPROF = 0
1230 self.xdata = None
1231 self.xdata = None
1231 self.ydata = None
1232 self.ydata = None
1232
1233
1233 self.PLOT_CODE = MPHASE_CODE
1234 self.PLOT_CODE = MPHASE_CODE
1234
1235
1235 self.FTP_WEI = None
1236 self.FTP_WEI = None
1236 self.EXP_CODE = None
1237 self.EXP_CODE = None
1237 self.SUB_EXP_CODE = None
1238 self.SUB_EXP_CODE = None
1238 self.PLOT_POS = None
1239 self.PLOT_POS = None
1239
1240
1240
1241
1241 self.filename_phase = None
1242 self.filename_phase = None
1242
1243
1243 self.figfile = None
1244 self.figfile = None
1244
1245
1245 def getSubplots(self):
1246 def getSubplots(self):
1246
1247
1247 ncol = 1
1248 ncol = 1
1248 nrow = 1
1249 nrow = 1
1249
1250
1250 return nrow, ncol
1251 return nrow, ncol
1251
1252
1252 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
1253 def setup(self, id, nplots, wintitle, showprofile=True, show=True):
1253
1254
1254 self.__showprofile = showprofile
1255 self.__showprofile = showprofile
1255 self.nplots = nplots
1256 self.nplots = nplots
1256
1257
1257 ncolspan = 7
1258 ncolspan = 7
1258 colspan = 6
1259 colspan = 6
1259 self.__nsubplots = 2
1260 self.__nsubplots = 2
1260
1261
1261 self.createFigure(id = id,
1262 self.createFigure(id = id,
1262 wintitle = wintitle,
1263 wintitle = wintitle,
1263 widthplot = self.WIDTH+self.WIDTHPROF,
1264 widthplot = self.WIDTH+self.WIDTHPROF,
1264 heightplot = self.HEIGHT+self.HEIGHTPROF,
1265 heightplot = self.HEIGHT+self.HEIGHTPROF,
1265 show=show)
1266 show=show)
1266
1267
1267 nrow, ncol = self.getSubplots()
1268 nrow, ncol = self.getSubplots()
1268
1269
1269 self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1)
1270 self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1)
1270
1271
1271
1272
1272 def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True',
1273 def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True',
1273 xmin=None, xmax=None, ymin=None, ymax=None,
1274 xmin=None, xmax=None, ymin=None, ymax=None,
1274 timerange=None,
1275 timerange=None,
1275 save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
1276 save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
1276 server=None, folder=None, username=None, password=None,
1277 server=None, folder=None, username=None, password=None,
1277 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
1278 ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
1278
1279
1279
1280
1280 tmin = None
1281 tmin = None
1281 tmax = None
1282 tmax = None
1282 x = dataOut.getTimeRange1()
1283 x = dataOut.getTimeRange1()
1283 y = dataOut.getHeiRange()
1284 y = dataOut.getHeiRange()
1284
1285
1285
1286
1286 #thisDatetime = dataOut.datatime
1287 #thisDatetime = dataOut.datatime
1287 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
1288 thisDatetime = datetime.datetime.utcfromtimestamp(dataOut.getTimeRange()[1])
1288 title = wintitle + " Phase of Beacon Signal" # : %s" %(thisDatetime.strftime("%d-%b-%Y"))
1289 title = wintitle + " Phase of Beacon Signal" # : %s" %(thisDatetime.strftime("%d-%b-%Y"))
1289 xlabel = "Local Time"
1290 xlabel = "Local Time"
1290 ylabel = "Phase"
1291 ylabel = "Phase"
1291
1292
1292
1293
1293 #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList)))
1294 #phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList)))
1294 phase_beacon = dataOut.data_output
1295 phase_beacon = dataOut.data_output
1295 update_figfile = False
1296 update_figfile = False
1296
1297
1297 if not self.__isConfig:
1298 if not self.__isConfig:
1298
1299
1299 self.nplots = phase_beacon.size
1300 self.nplots = phase_beacon.size
1300
1301
1301 self.setup(id=id,
1302 self.setup(id=id,
1302 nplots=self.nplots,
1303 nplots=self.nplots,
1303 wintitle=wintitle,
1304 wintitle=wintitle,
1304 showprofile=showprofile,
1305 showprofile=showprofile,
1305 show=show)
1306 show=show)
1306
1307
1307 if timerange is not None:
1308 if timerange is not None:
1308 self.timerange = timerange
1309 self.timerange = timerange
1309
1310
1310 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
1311 self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
1311
1312
1312 if ymin == None: ymin = numpy.nanmin(phase_beacon) - 10.0
1313 if ymin == None: ymin = numpy.nanmin(phase_beacon) - 10.0
1313 if ymax == None: ymax = numpy.nanmax(phase_beacon) + 10.0
1314 if ymax == None: ymax = numpy.nanmax(phase_beacon) + 10.0
1314
1315
1315 self.FTP_WEI = ftp_wei
1316 self.FTP_WEI = ftp_wei
1316 self.EXP_CODE = exp_code
1317 self.EXP_CODE = exp_code
1317 self.SUB_EXP_CODE = sub_exp_code
1318 self.SUB_EXP_CODE = sub_exp_code
1318 self.PLOT_POS = plot_pos
1319 self.PLOT_POS = plot_pos
1319
1320
1320 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
1321 self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
1321 self.__isConfig = True
1322 self.__isConfig = True
1322 self.figfile = figfile
1323 self.figfile = figfile
1323 self.xdata = numpy.array([])
1324 self.xdata = numpy.array([])
1324 self.ydata = numpy.array([])
1325 self.ydata = numpy.array([])
1325
1326
1326 #open file beacon phase
1327 #open file beacon phase
1327 path = '%s%03d' %(self.PREFIX, self.id)
1328 path = '%s%03d' %(self.PREFIX, self.id)
1328 beacon_file = os.path.join(path,'%s.txt'%self.name)
1329 beacon_file = os.path.join(path,'%s.txt'%self.name)
1329 self.filename_phase = os.path.join(figpath,beacon_file)
1330 self.filename_phase = os.path.join(figpath,beacon_file)
1330 update_figfile = True
1331 update_figfile = True
1331
1332
1332
1333
1333 #store data beacon phase
1334 #store data beacon phase
1334 #self.save_data(self.filename_phase, phase_beacon, thisDatetime)
1335 #self.save_data(self.filename_phase, phase_beacon, thisDatetime)
1335
1336
1336 self.setWinTitle(title)
1337 self.setWinTitle(title)
1337
1338
1338
1339
1339 title = "Phase Offset %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1340 title = "Phase Offset %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1340
1341
1341 legendlabels = ["phase %d"%(chan) for chan in numpy.arange(self.nplots)]
1342 legendlabels = ["phase %d"%(chan) for chan in numpy.arange(self.nplots)]
1342
1343
1343 axes = self.axesList[0]
1344 axes = self.axesList[0]
1344
1345
1345 self.xdata = numpy.hstack((self.xdata, x[0:1]))
1346 self.xdata = numpy.hstack((self.xdata, x[0:1]))
1346
1347
1347 if len(self.ydata)==0:
1348 if len(self.ydata)==0:
1348 self.ydata = phase_beacon.reshape(-1,1)
1349 self.ydata = phase_beacon.reshape(-1,1)
1349 else:
1350 else:
1350 self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1)))
1351 self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1)))
1351
1352
1352
1353
1353 axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
1354 axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
1354 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax,
1355 xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax,
1355 xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid",
1356 xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid",
1356 XAxisAsTime=True, grid='both'
1357 XAxisAsTime=True, grid='both'
1357 )
1358 )
1358
1359
1359 self.draw()
1360 self.draw()
1360
1361
1361 if dataOut.ltctime >= self.xmax:
1362 if dataOut.ltctime >= self.xmax:
1362 self.counter_imagwr = wr_period
1363 self.counter_imagwr = wr_period
1363 self.__isConfig = False
1364 self.__isConfig = False
1364 update_figfile = True
1365 update_figfile = True
1365
1366
1366 self.save(figpath=figpath,
1367 self.save(figpath=figpath,
1367 figfile=figfile,
1368 figfile=figfile,
1368 save=save,
1369 save=save,
1369 ftp=ftp,
1370 ftp=ftp,
1370 wr_period=wr_period,
1371 wr_period=wr_period,
1371 thisDatetime=thisDatetime,
1372 thisDatetime=thisDatetime,
1372 update_figfile=update_figfile)
1373 update_figfile=update_figfile)
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