Looking at the event based hdf5 files
Getting names for available fields
This will by list all the available fields:
SDAna In: ana.Keys()
You can pass a string and only field names that match the string will be listed. ana.Keys2d() will list only images (2-d arrays).
Looking at variables (1d and 2d plots)
Usage:
SDAna In: ana.plotVar(varname)
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 (useFilter='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
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, 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
ana.plotVar(['tt/FLTPOSFWHM','tt/FLTPOSPS']) #on left ana.plotVar(['tt/FLTPOSFWHM','tt/FLTPOSPS'], asHist=True) # on right
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