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This feature is still in development, but is fully functional. Clean-up and quality of life improvement improvements are to be expected though.
A second (or more) bin-axis can be selected following a similar run-dependent logic as for the main bin axis
Example:
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def get_addBinVars(run): if isinstance(run,str): run=int(run) addBinVars = None if run==128: addBinVars = {'ipm2/sum': np.linspace(0,4e4,4)} return addBinVars |
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The cubed variables now have a shape matching that of the bin-axis (i.e. shape=(size(bin_axis1), size(bin_axis2), ...)
).
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