@@ -118,7 +118,7 class RTIPlot(Figure): | |||||
118 | for channel in channelList: |
|
118 | for channel in channelList: | |
119 | if channel not in dataOut.channelList: |
|
119 | if channel not in dataOut.channelList: | |
120 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
120 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
121 | channelIndexList.append(channel) |
|
121 | channelIndexList.append(dataOut.channelList.index(chachannel)) | |
122 |
|
122 | |||
123 | if timerange != None: |
|
123 | if timerange != None: | |
124 | self.__timerange = timerange |
|
124 | self.__timerange = timerange | |
@@ -271,7 +271,7 class SpectraPlot(Figure): | |||||
271 | for channel in channelList: |
|
271 | for channel in channelList: | |
272 | if channel not in dataOut.channelList: |
|
272 | if channel not in dataOut.channelList: | |
273 | raise ValueError, "Channel %d is not in dataOut.channelList" |
|
273 | raise ValueError, "Channel %d is not in dataOut.channelList" | |
274 | channelIndexList.append(channelList.index(channel)) |
|
274 | channelIndexList.append(dataOut.channelList.index(channel)) | |
275 |
|
275 | |||
276 | x = dataOut.getVelRange(1) |
|
276 | x = dataOut.getVelRange(1) | |
277 | y = dataOut.getHeiRange() |
|
277 | y = dataOut.getHeiRange() | |
@@ -376,7 +376,13 class Scope(Figure): | |||||
376 | """ |
|
376 | """ | |
377 |
|
377 | |||
378 | if channelList == None: |
|
378 | if channelList == None: | |
379 | channelList = dataOut.channelList |
|
379 | channelIndexList = dataOut.channelIndexList | |
|
380 | else: | |||
|
381 | channelIndexList = [] | |||
|
382 | for channel in channelList: | |||
|
383 | if channel not in dataOut.channelList: | |||
|
384 | raise ValueError, "Channel %d is not in dataOut.channelList" | |||
|
385 | channelIndexList.append(dataOut.channelList.index(chachannel)) | |||
380 |
|
386 | |||
381 | x = dataOut.heightList |
|
387 | x = dataOut.heightList | |
382 | y = dataOut.data[channelList,:] * numpy.conjugate(dataOut.data[channelList,:]) |
|
388 | y = dataOut.data[channelList,:] * numpy.conjugate(dataOut.data[channelList,:]) |
General Comments 0
You need to be logged in to leave comments.
Login now