##// END OF EJS Templates
Channel title was fixed in plots
Miguel Valdez -
r713:8844aec3c35c
parent child
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@@ -160,7 +160,7 class CorrelationPlot(Figure):
160 160
161 161 for i in range(self.nplots):
162 162 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
163 title = "Channel %d and %d: : %s" %(dataOut.pairsList[i][0]+1,dataOut.pairsList[i][1]+1 , str_datetime)
163 title = "Channel %d and %d: : %s" %(dataOut.pairsList[i][0],dataOut.pairsList[i][1] , str_datetime)
164 164 axes = self.axesList[i*self.__nsubplots]
165 165 axes.pcolor(x, y, zdB[i,:,:],
166 166 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
@@ -159,7 +159,7 class MomentsPlot(Figure):
159 159
160 160 for i in range(self.nplots):
161 161 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
162 title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i]+1, noisedB[i], str_datetime)
162 title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i], noisedB[i], str_datetime)
163 163 axes = self.axesList[i*self.__nsubplots]
164 164 axes.pcolor(x, y, zdB[i,:,:],
165 165 xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, zmin=zmin, zmax=zmax,
@@ -759,7 +759,7 class ParametersPlot(Figure):
759 759 ticksize=9, cblabel=zlabel, cbsize="1%")
760 760
761 761 if DOP:
762 title = "%s Channel %d: %s" %(parameterName, channelIndexList[i]+1, thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
762 title = "%s Channel %d: %s" %(parameterName, channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
763 763
764 764 if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
765 765 title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
@@ -771,7 +771,7 class ParametersPlot(Figure):
771 771 ticksize=9, cblabel=zlabel, cbsize="1%")
772 772
773 773 if SNR:
774 title = "Channel %d Signal Noise Ratio (SNR): %s" %(channelIndexList[i]+1, thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
774 title = "Channel %d Signal Noise Ratio (SNR): %s" %(channelIndexList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
775 775 axes = self.axesList[(j)*self.__nsubplots]
776 776 if not onlySNR:
777 777 axes = self.axesList[(j + 1)*self.__nsubplots]
@@ -951,7 +951,7 class SpectralFittingPlot(Figure):
951 951 self.setWinTitle(title)
952 952 for i in range(self.nplots):
953 953 # title = "Channel %d: %4.2fdB" %(dataOut.channelList[i]+1, noisedB[i])
954 title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i]+1)
954 title = "Height %4.1f km\nChannel %d:" %(cutHeight, listChannels[i])
955 955 axes = self.axesList[i*self.__nsubplots]
956 956 if fit == False:
957 957 axes.pline(x, zdB[i,:],
@@ -168,7 +168,7 class SpectraPlot(Figure):
168 168
169 169 for i in range(self.nplots):
170 170 str_datetime = '%s %s'%(thisDatetime.strftime("%Y/%m/%d"),thisDatetime.strftime("%H:%M:%S"))
171 title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i]+1, noisedB[i], str_datetime)
171 title = "Channel %d: %4.2fdB: %s" %(dataOut.channelList[i], noisedB[i], str_datetime)
172 172 if len(dataOut.beam.codeList) != 0:
173 173 title = "Ch%d:%4.2fdB,%2.2f,%2.2f:%s" %(dataOut.channelList[i]+1, noisedB[i], dataOut.beam.azimuthList[i], dataOut.beam.zenithList[i], str_datetime)
174 174
@@ -575,7 +575,7 class RTIPlot(Figure):
575 575 x[1] = self.xmax
576 576
577 577 for i in range(self.nplots):
578 title = "Channel %d: %s" %(dataOut.channelList[i]+1, thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
578 title = "Channel %d: %s" %(dataOut.channelList[i], thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
579 579 if ((dataOut.azimuth!=None) and (dataOut.zenith!=None)):
580 580 title = title + '_' + 'azimuth,zenith=%2.2f,%2.2f'%(dataOut.azimuth, dataOut.zenith)
581 581 axes = self.axesList[i*self.__nsubplots]
@@ -1088,7 +1088,7 class Noise(Figure):
1088 1088
1089 1089 title = "Noise %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
1090 1090
1091 legendlabels = ["channel %d"%(idchannel+1) for idchannel in channelList]
1091 legendlabels = ["channel %d"%(idchannel) for idchannel in channelList]
1092 1092 axes = self.axesList[0]
1093 1093
1094 1094 self.xdata = numpy.hstack((self.xdata, x[0:1]))
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