| @@ -324,8 +324,8 class WpowerPlot_(Figure): | |||||
| 324 | zmin : None, |
|
324 | zmin : None, | |
| 325 | zmax : None |
|
325 | zmax : None | |
| 326 | """ |
|
326 | """ | |
| 327 | print("***************PLOTEO******************") |
|
327 | #print("***************PLOTEO******************") | |
| 328 | print("DATAOUT SHAPE : ",dataOut.data.shape) |
|
328 | #print("DATAOUT SHAPE : ",dataOut.data.shape) | |
| 329 | if dataOut.flagNoData: |
|
329 | if dataOut.flagNoData: | |
| 330 | return dataOut |
|
330 | return dataOut | |
| 331 |
|
331 | |||
| @@ -344,7 +344,7 class WpowerPlot_(Figure): | |||||
| 344 | channelIndexList.append(dataOut.channelList.index(channel)) |
|
344 | channelIndexList.append(dataOut.channelList.index(channel)) | |
| 345 |
|
345 | |||
| 346 |
|
346 | |||
| 347 | print("channelIndexList",channelIndexList) |
|
347 | #print("channelIndexList",channelIndexList) | |
| 348 | if normFactor is None: |
|
348 | if normFactor is None: | |
| 349 | factor = dataOut.normFactor |
|
349 | factor = dataOut.normFactor | |
| 350 | else: |
|
350 | else: | |
| @@ -364,7 +364,7 class WpowerPlot_(Figure): | |||||
| 364 | ylabel = "Range (km)" |
|
364 | ylabel = "Range (km)" | |
| 365 |
|
365 | |||
| 366 | y = dataOut.getHeiRange() |
|
366 | y = dataOut.getHeiRange() | |
| 367 | print("factor",factor) |
|
367 | #print("factor",factor) | |
| 368 |
|
368 | |||
| 369 | z = dataOut.data/factor # dividido /factor |
|
369 | z = dataOut.data/factor # dividido /factor | |
| 370 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) |
|
370 | z = numpy.where(numpy.isfinite(z), z, numpy.NAN) | |
| @@ -88,6 +88,7 class SpectraProc(ProcessingUnit): | |||||
| 88 | # calculo de self-spectra |
|
88 | # calculo de self-spectra | |
| 89 | fft_volt = numpy.fft.fftshift(fft_volt, axes=(1,)) |
|
89 | fft_volt = numpy.fft.fftshift(fft_volt, axes=(1,)) | |
| 90 | spc = fft_volt * numpy.conjugate(fft_volt) |
|
90 | spc = fft_volt * numpy.conjugate(fft_volt) | |
|
|
91 | #print("spcch0",spc[0]) | |||
| 91 | spc = spc.real |
|
92 | spc = spc.real | |
| 92 |
|
93 | |||
| 93 | blocksize = 0 |
|
94 | blocksize = 0 | |
| @@ -1154,6 +1155,7 class PulsePair(Operation): | |||||
| 1154 | self.__buffer = data*numpy.conjugate(data) |
|
1155 | self.__buffer = data*numpy.conjugate(data) | |
| 1155 | self.__bufferV = data[:,(self.__nProf-1):,:]*numpy.conjugate(data[:,1:,:]) |
|
1156 | self.__bufferV = data[:,(self.__nProf-1):,:]*numpy.conjugate(data[:,1:,:]) | |
| 1156 | self.__profIndex = self.n |
|
1157 | self.__profIndex = self.n | |
|
|
1158 | #print("spcch0",self.__buffer) | |||
| 1157 | return |
|
1159 | return | |
| 1158 |
|
1160 | |||
| 1159 | def pushData(self): |
|
1161 | def pushData(self): | |
| @@ -1162,9 +1164,13 class PulsePair(Operation): | |||||
| 1162 | data_IV = numpy.zeros((self.__nch,self.__nHeis)) |
|
1164 | data_IV = numpy.zeros((self.__nch,self.__nHeis)) | |
| 1163 |
|
1165 | |||
| 1164 | for i in range(self.__nch): |
|
1166 | for i in range(self.__nch): | |
| 1165 |
data_I[i,:] = numpy.sum( |
|
1167 | data_I[i,:] = numpy.sum(self.__buffer[i],axis=0)/self.n | |
| 1166 |
data_IV[i,:] = numpy.sum( |
|
1168 | data_IV[i,:] = numpy.sum(self.__bufferV[i],axis=0)/(self.n-1) | |
| 1167 |
|
1169 | ##print("******") | ||
|
|
1170 | #print("data_I",data_I[0]) | |||
|
|
1171 | #print(self.__buffer.shape) | |||
|
|
1172 | #a=numpy.average(self.__buffer,axis=1) | |||
|
|
1173 | #print("average", a) | |||
| 1168 | n = self.__profIndex |
|
1174 | n = self.__profIndex | |
| 1169 | ####data_intensity = numpy.sum(numpy.sum(self.__buffer,axis=0),axis=0)/self.n |
|
1175 | ####data_intensity = numpy.sum(numpy.sum(self.__buffer,axis=0),axis=0)/self.n | |
| 1170 | #print("data_intensity push data",data_intensity.shape) |
|
1176 | #print("data_intensity push data",data_intensity.shape) | |
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