Method max

pandas/core/series.py:7807–7875

Return the maximum of the values over the requested axis. If you want the *index* of the maximum, use ``idxmax``. This is the equivalent of the ``numpy.ndarray`` method ``argmax``. Parameters ---------- axis : {index (0)} Axis for the fu

(
        self,
        axis: Axis | None = 0,
        skipna: bool = True,
        numeric_only: bool = False,
        **kwargs,
    )

    @deprecate_nonkeyword_arguments(Pandas4Warning, allowed_args=["self"], name="max")
    def max(
        self,
        axis: Axis | None = 0,
        skipna: bool = True,
        numeric_only: bool = False,
        **kwargs,
    ):
        """
        Return the maximum of the values over the requested axis.

        If you want the *index* of the maximum, use ``idxmax``.
        This is the equivalent of the ``numpy.ndarray`` method ``argmax``.

        Parameters
        ----------
        axis : {index (0)}
            Axis for the function to be applied on.
            For `Series` this parameter is unused and defaults to 0.

            For DataFrames, specifying ``axis=None`` will apply the aggregation
            across both axes.

            .. versionadded:: 2.0.0

        skipna : bool, default True
            Exclude NA/null values when computing the result.
        numeric_only : bool, default False
            Include only float, int, boolean columns.
        **kwargs
            Additional keyword arguments to be passed to the function.

        Returns
        -------
        scalar or Series (if level specified)
            The maximum of the values in the Series.

        See Also
        --------
        numpy.max : Equivalent numpy function for arrays.
        Series.min : Return the minimum.
        Series.max : Return the maximum.
        Series.idxmin : Return the index of the minimum.
        Series.idxmax : Return the index of the maximum.
        DataFrame.min : Return the minimum over the requested axis.
        DataFrame.max : Return the maximum over the requested axis.
        DataFrame.idxmin : Return the index of the minimum over the requested axis.
        DataFrame.idxmax : Return the index of the maximum over the requested axis.

        Examples
        --------
        >>> idx = pd.MultiIndex.from_arrays(
        ...     [["warm", "warm", "cold", "cold"], ["dog", "falcon", "fish", "spider"]],
        ...     names=["blooded", "animal"],
        ... )
        >>> s = pd.Series([4, 2, 0, 8], name="legs", index=idx)
        >>> s
        blooded  animal
        warm     dog       4