loader = dc.BiotracksLoader( biotracksPath, resampleTo=resampleTo, minTrackLength=skipSmallerThan, ) if addState2 is not None: loaderState2 = dc.BiotracksLoader( addState2, resampleTo=resampleTo, minTrackLength=skipSmallerThan, ) if svfPath is not None: print("Load from SVF...") loader = dc.SvfLoader(svfPath, resampleTo=resampleTo, minTrackLength=skipSmallerThan, csvSeparator=csvSep) if addState2 is not None: loaderState2 = dc.SvfLoader(addState2, resampleTo=resampleTo, minTrackLength=skipSmallerThan, csvSeparator=csvSep) tracks, attributes, names = loader.get() # Start the track modifier that adjusts the data or adds attributes tm = dc.TrackModifier(tracks, attributes, names) scale = 1. if scaleToUnit is not None: extent = tm.getExtent()