Method unstack

pandas/core/series.py:4445–4501

Unstack, also known as pivot, Series with MultiIndex to produce DataFrame. Parameters ---------- level : int, str, or list of these, default last level Level(s) to unstack, can pass level name. fill_value : scalar value, default None

(
        self,
        level: IndexLabel = -1,
        fill_value: Hashable | None = None,
        sort: bool = True,
    )

        return self._constructor(values, index=index, name=self.name, copy=False)

    def unstack(
        self,
        level: IndexLabel = -1,
        fill_value: Hashable | None = None,
        sort: bool = True,
    ) -> DataFrame:
        """
        Unstack, also known as pivot, Series with MultiIndex to produce DataFrame.

        Parameters
        ----------
        level : int, str, or list of these, default last level
            Level(s) to unstack, can pass level name.
        fill_value : scalar value, default None
            Value to use when replacing NaN values.
        sort : bool, default True
            Sort the level(s) in the resulting MultiIndex columns.

        Returns
        -------
        DataFrame
            Unstacked Series.

        See Also
        --------
        DataFrame.unstack : Pivot the MultiIndex of a DataFrame.

        Notes
        -----
        Reference :ref:`the user guide <reshaping.stacking>` for more examples.

        Examples
        --------
        >>> s = pd.Series(
        ...     [1, 2, 3, 4],
        ...     index=pd.MultiIndex.from_product([["one", "two"], ["a", "b"]]),
        ... )
        >>> s
        one  a    1
             b    2
        two  a    3
             b    4
        dtype: int64

        >>> s.unstack(level=-1)
             a  b
        one  1  2
        two  3  4

        >>> s.unstack(level=0)
           one  two
        a    1    3
        b    2    4
        """
        from pandas.core.reshape.reshape import unstack

        return unstack(self, level, fill_value, sort)