pandas.DataFrame.unstack
-
DataFrame.
unstack
(level=-1, fill_value=None)[source] Pivot a level of the (necessarily hierarchical) index labels, returning a DataFrame having a new level of column labels whose inner-most level consists of the pivoted index labels. If the index is not a MultiIndex, the output will be a Series (the analogue of stack when the columns are not a MultiIndex). The level involved will automatically get sorted.
Parameters: level : int, string, or list of these, default -1 (last level)
Level(s) of index to unstack, can pass level name
fill_value : replace NaN with this value if the unstack produces
missing values
Returns: unstacked : DataFrame or Series
See also
DataFrame.pivot
- Pivot a table based on column values.
DataFrame.stack
- Pivot a level of the column labels (inverse operation from unstack).
Examples
>>> index = pd.MultiIndex.from_tuples([('one', 'a'), ('one', 'b'), ... ('two', 'a'), ('two', 'b')]) >>> s = pd.Series(np.arange(1.0, 5.0), index=index) >>> s one a 1 b 2 two a 3 b 4 dtype: float64
>>> s.unstack(level=-1) a b one 1 2 two 3 4
>>> s.unstack(level=0) one two a 1 3 b 2 4
>>> df = s.unstack(level=0) >>> df.unstack() one a 1. b 3. two a 2. b 4.