Multi-Index¶
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pd.MultiIndex.from_product([[jj.index.name], jj.index.values])
Get Levels¶
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get_level_values
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it seems to me that there are even easier ways sometimes ...
Extract columns whose 2nd-level index is bi from the data frame df.
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df.loc(axis=1)[:, "bi"]
References¶
https://www.youtube.com/watch?v=tcRGa2soc-c
https://pandas.pydata.org/pandas-docs/stable/advanced.html
https://jakevdp.github.io/PythonDataScienceHandbook/03.05-hierarchical-indexing.html
http://www.legendu.net/misc/blog/python-pandas-multiindex-add-level/
http://www.legendu.net/misc/blog/python-pandas-multiindex-construct/
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