unstack(self, level: 'Level' = -1, fill_value=None)

Returns 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).

Notes

Reference the user guide <reshaping.stacking> for more examples.

Parameters

level : int, str, or list of these, default -1 (last level)

Level(s) of index to unstack, can pass level name.

fill_value : int, str or dict

Replace NaN with this value if the unstack produces missing values.

Returns

Series or DataFrame

Pivot a level of the (necessarily hierarchical) index labels.

See Also

DataFrame.pivot

Pivot a table based on column values.

DataFrame.stack

Pivot a level of the column labels (inverse operation from :None:None:`unstack`).

Examples

This example is valid syntax, but we were not able to check execution

>>> 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   1.0
     b   2.0
two  a   3.0
     b   4.0
dtype: float64

This example is valid syntax, but we were not able to check execution

>>> s.unstack(level=-1)
     a   b
one  1.0  2.0
two  3.0  4.0

This example is valid syntax, but we were not able to check execution

>>> s.unstack(level=0)
   one  two
a  1.0   3.0
b  2.0   4.0

This example is valid syntax, but we were not able to check execution

>>> df = s.unstack(level=0)
... df.unstack()
one  a  1.0
     b  2.0
two  a  3.0
     b  4.0
dtype: float64

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.frame.DataFrame.explode pandas.core.frame.DataFrame.pivot pandas.core.reshape.pivot.pivot pandas.core.frame.DataFrame.stack pandas.core.reshape.melt.wide_to_long

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