code cleanup
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35ba41f86b
commit
f62f26e0fa
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@ -1,6 +1,6 @@
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from __future__ import print_function,division
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from __future__ import print_function,division
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import logging
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import logging
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log = logging.getLogger(__name__)
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log = logging.getLogger(__name__)
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import numpy as np
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import numpy as np
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@ -122,7 +122,7 @@ def averageScanPoints(scan,data,errAbs=None,isRef=None,lpower=None,useRatio=Fals
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noise = np.nanstd(diff_for_scan, axis = 0)
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noise = np.nanstd(diff_for_scan, axis = 0)
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# if it is the reference take only every second ...
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# if it is the reference take only every second ...
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if np.all( shot_idx == isRef ):
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if np.all( shot_idx == isRef ):
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diff_for_scan = diff_for_scan[::2]
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diff_for_scan = diff_for_scan[::2]
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diffsInScanPoint.append( diff_for_scan )
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diffsInScanPoint.append( diff_for_scan )
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@ -216,9 +216,9 @@ def saveTxt(folder,data,delayToStr=True,basename='auto',info="",**kw):
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fname = "%s/%sdiff_av_%s.txt" % (folder,basename,scan)
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fname = "%s/%sdiff_av_%s.txt" % (folder,basename,scan)
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if 'mask' in data:
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if 'mask' in data:
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tosave = np.vstack( (data.data[iscan],data.err[iscan],
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tosave = np.vstack( (data.data[iscan],data.err[iscan],
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data.dataUnmasked[iscan],data.errUnmasked[iscan] ) )
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data.dataUnmasked[iscan],data.errUnmasked[iscan] ) )
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columns = 'q diffmask errmask diffnomask errnomask'.split()
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columns = 'q diffmask errmask diffnomask errnomask'.split()
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else:
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else:
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tosave = np.vstack( (data.data[iscan],data.err[iscan] ) )
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tosave = np.vstack( (data.data[iscan],data.err[iscan] ) )
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columns = 'q diff err'.split()
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columns = 'q diff err'.split()
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utils.saveTxt(fname,q,tosave,info=info_delay,columns=columns)
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utils.saveTxt(fname,q,tosave,info=info_delay,columns=columns)
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@ -259,4 +259,3 @@ def read_diff_av(folder,plot2D=False,save=None):
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tosave = np.vstack( (header,tosave.T) )
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tosave = np.vstack( (header,tosave.T) )
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np.savetxt(folder + "/all_diffs_av_matrix.txt",tosave)
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np.savetxt(folder + "/all_diffs_av_matrix.txt",tosave)
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return q,it,diffs,t
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return q,it,diffs,t
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