python - Pandas: groupby index and sum, one column disappears -


input: dfs1.keys()

output: multiindex(levels=[[-1], [u'count', u'doc']], labels=[[0, 0], [0, 1]])

input: dfs1.groupby(dfs1.index).sum().keys()

output: multiindex(levels=[[-1], [u'count', u'doc']], labels=[[0], [0]])

column [-1, 'doc'] disappears

the data type in [-1, 'count'] float , in [-1, 'doc'] string


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