Method min

pandas/core/resample.py:1215–1267

Compute min value of group. Parameters ---------- numeric_only : bool, default False Include only float, int, boolean columns. .. versionchanged:: 2.0.0 numeric_only no longer accepts ``None``. min_count : int, defa

(
        self,
        numeric_only: bool = False,
        min_count: int = 0,
    )

    @final
    def min(
        self,
        numeric_only: bool = False,
        min_count: int = 0,
    ):
        """
        Compute min value of group.

        Parameters
        ----------
        numeric_only : bool, default False
            Include only float, int, boolean columns.

            .. versionchanged:: 2.0.0

                numeric_only no longer accepts ``None``.

        min_count : int, default 0
            The required number of valid values to perform the operation. If fewer
            than ``min_count`` non-NA values are present the result will be NA.

        Returns
        -------
        Series or DataFrame
            Compute the minimum value in the given Series or DataFrame.

        See Also
        --------
        core.resample.Resampler.max : Compute max value of group.
        core.resample.Resampler.mean : Compute mean of groups, excluding missing values.
        core.resample.Resampler.median : Compute median of groups, excluding missing
            values.

        Examples
        --------
        >>> ser = pd.Series(
        ...     [1, 2, 3, 4],
        ...     index=pd.DatetimeIndex(
        ...         ["2023-01-01", "2023-01-15", "2023-02-01", "2023-02-15"]
        ...     ),
        ... )
        >>> ser
        2023-01-01    1
        2023-01-15    2
        2023-02-01    3
        2023-02-15    4
        dtype: int64
        >>> ser.resample("MS").min()
        2023-01-01    1
        2023-02-01    3
        Freq: MS, dtype: int64
        """
        return self._downsample("min", numeric_only=numeric_only, min_count=min_count)

    @final
    def max(