pandas.MultiIndex.from_frame — pandas 0.25.3 documentation (original) (raw)
classmethod MultiIndex. from_frame(df, sortorder=None, names=None)[source]¶
Make a MultiIndex from a DataFrame.
New in version 0.24.0.
| Parameters: | df : DataFrame DataFrame to be converted to MultiIndex. sortorder : int, optional Level of sortedness (must be lexicographically sorted by that level). names : list-like, optional If no names are provided, use the column names, or tuple of column names if the columns is a MultiIndex. If a sequence, overwrite names with the given sequence. |
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| Returns: | MultiIndex The MultiIndex representation of the given DataFrame. |
Examples
df = pd.DataFrame([['HI', 'Temp'], ['HI', 'Precip'], ... ['NJ', 'Temp'], ['NJ', 'Precip']], ... columns=['a', 'b']) df a b 0 HI Temp 1 HI Precip 2 NJ Temp 3 NJ Precip
pd.MultiIndex.from_frame(df) MultiIndex([('HI', 'Temp'), ('HI', 'Precip'), ('NJ', 'Temp'), ('NJ', 'Precip')], names=['a', 'b'])
Using explicit names, instead of the column names
pd.MultiIndex.from_frame(df, names=['state', 'observation']) MultiIndex([('HI', 'Temp'), ('HI', 'Precip'), ('NJ', 'Temp'), ('NJ', 'Precip')], names=['state', 'observation'])