Method any

pandas/core/groupby/groupby.py:1968–2025

Return True if any value in the group is truthful, else False. Parameters ---------- skipna : bool, default True Flag to ignore nan values during truth testing. Returns ------- Series or DataFrame DataFrame or Series

(self, skipna: bool = True)

    @final
    def any(self, skipna: bool = True) -> NDFrameT:
        """
        Return True if any value in the group is truthful, else False.

        Parameters
        ----------
        skipna : bool, default True
            Flag to ignore nan values during truth testing.

        Returns
        -------
        Series or DataFrame
            DataFrame or Series of boolean values, where a value is True if any element
            is True within its respective group, False otherwise.

        See Also
        --------
        Series.any : Apply function any to a Series.
        DataFrame.any : Apply function any to each row or column of a DataFrame.

        Examples
        --------
        For SeriesGroupBy:

        >>> lst = ["a", "a", "b"]
        >>> ser = pd.Series([1, 2, 0], index=lst)
        >>> ser
        a    1
        a    2
        b    0
        dtype: int64
        >>> ser.groupby(level=0).any()
        a     True
        b    False
        dtype: bool

        For DataFrameGroupBy:

        >>> data = [[1, 0, 3], [1, 0, 6], [7, 1, 9]]
        >>> df = pd.DataFrame(
        ...     data, columns=["a", "b", "c"], index=["ostrich", "penguin", "parrot"]
        ... )
        >>> df
                 a  b  c
        ostrich  1  0  3
        penguin  1  0  6
        parrot   7  1  9
        >>> df.groupby(by=["a"]).any()
               b      c
        a
        1  False   True
        7   True   True
        """
        return self._cython_agg_general(
            "any",
            alt=lambda x: Series(x, copy=False).any(skipna=skipna),
            skipna=skipna,
        )