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This function will make a plot of the variable varname which can be a string containing the key-name or a list of strings for 2-d data. You can apply cuts (applyCutsuseFilter='SelectionName') or specify an ROI to reduce multi-dimensional data when varname is a list ['varname_string', [ROI]]. asHist=True will produce a 2-d histogram rather than a scatter plot when supplying two input variables ['varname1','varname2']. Default is a scatter plot.
ipm2 plot
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SDana In [3]: ana.plotVar? Type: instancemethod String form: <bound method SmallDataAna.plotVar of <SmallDataAna.SmallDataAna object at 0x7f87edbed410>> File: /reg/d/psdm/xpp/xpptut15/resulrs/smalldata_tools/examples/scripts/SmallDataAna.py Definition: ana.plotVar(self, plotvar, numBin=[100], setCuts=None, applyCuts useFilter=None,limits=[1, 99], fig=None, asHist=False) Docstring: <no docstring> SDana In [4]: ipm2plot = ana.plotVar('ipm2/sum') plot ipm2/sum from 0.000150301 to 1.00656 |
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ana.plotVar(['tt/FLTPOSFWHM','tt/FLTPOSPS']) #on left ana.plotVar(['tt/FLTPOSFWHM','tt/FLTPOSPS'], asHist=True) # on right |
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