Q1: For a multi-index dataframe, what is the difference between sortlevel() and sort_index()?
As far as I can tell, for a dataframe like:
df = pd.DataFrame({'A' : [np.random.random_integers(10) for x in xrange(500)],
'B' : [np.random.random_integers(10) for x in xrange(500)],
'C' : [np.random.random_integers(10) for x in xrange(500)],
'data' : randn(500) })
the result is the same.
Q2: Why do these methods not use the same naming convention? sort_index uses underscore to separate words, while sortlevel is just one word.
What is the official convention in Pandas? Isn't the Python convention to use underscore splitting?
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