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En jrodataIO.py se corrige la lectura de channelList desde el archivo FITS. En jroplot, el RTIfromSpectraHeis imprime la leyenda la imprime a partir de channelList
Daniel Valdez -
r446:9dc2730fa268
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@@ -3072,7 +3072,12 class FitsReader(ProcessingUnit):
3072 3072 self.dataType = headerObj.header['DATATYPE']
3073 3073
3074 3074 self.datetimestr = headerObj.header['DATETIME']
3075 self.channelList = headerObj.header['CHANNELLIST']
3075 channelList = headerObj.header['CHANNELLIST']
3076 channelList = channelList.split('[')
3077 channelList = channelList[1].split(']')
3078 channelList = channelList[0].split(',')
3079 channelList = [int(ch) for ch in channelList]
3080 self.channelList = channelList
3076 3081 self.nChannels = headerObj.header['NCHANNELS']
3077 3082 self.nHeights = headerObj.header['NHEIGHTS']
3078 3083 self.ippSeconds = headerObj.header['IPPSECONDS']
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@@ -1474,7 +1474,7 class RTIfromSpectraHeis(Figure):
1474 1474 # title = "RTI %s" %(thisDatetime.strftime("%d-%b-%Y"))
1475 1475 title = "RTI - %s" %(thisDatetime.strftime("%d-%b-%Y %H:%M:%S"))
1476 1476
1477 legendlabels = ["channel %d"%idchannel for idchannel in channelIndexList]
1477 legendlabels = ["channel %d"%idchannel for idchannel in channelList]
1478 1478 axes = self.axesList[0]
1479 1479
1480 1480 self.xdata = numpy.hstack((self.xdata, x[0:1]))
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