I'd like to be able to separately trap errors in indexing that are due to the lack of the MultiIndex being lexsorted. Right now, a KeyError is raised, and the only way to tell if the error was due to the lack of a lexsort versus a missing key is to look at the text of the message.
So I'd like to avoid code like this:
try:
subdf = df.loc['A':'D','Vals']
except KeyError as ker:
if ker.args[0].startswith("MultiIndex Slicing requires the index to be fully lexsorted"):
print ("Need to handle fact index not sorted")
else:
print ("Need to handle fact that key was missing")
I'd rather write something like:
try:
subdf = df.loc['A':'D','Vals']
except UnsortedIndexError:
print ("Need to handle fact index not sorted")
except KeyError:
print ("Need to handle fact that key was missing")
So could the designers accept a change where a different error is raised in case the index is not lexsorted? If so, I'll implement it.
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