numpy - Unpivot Pandas Data -


i have dataframe laid out as:

        jan feb mar apr ... 2001    1   12  12  19   2002    9   ... 2003    ...

and "unpivot" data like:

date    value jan 2001    1 feb 2001    1 mar 2001    12 ... jan 2002    9

what best way accomplish using pandas/ numpy?

you have df.unstack() , create multiindexed series month first level , year second level index. if want them columns call reset_index() after that.

>>> df       jan  feb 2001    3    4 2002    2    7 >>> df.unstack() jan  2001    3      2002    2 feb  2001    4      2002    7 >>> df = df.unstack().reset_index(name='value') >>> df   level_0  level_1  value 0     jan     2001      3 1     jan     2002      2 2     feb     2001      4 3     feb     2002      7 >>> df.rename(columns={'level_0': 'month', 'level_1': 'year'}, inplace=true) >>> df   month  year  value 0   jan  2001      3 1   jan  2002      2 2   feb  2001      4 3   feb  2002      7

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