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# pandas.api.typing.Resampler.median

final Resampler.median(numeric_only=False)

  Compute median of groups, excluding missing values.

  For multiple groupings, the result index will be a MultiIndex

  Parameters:
    numeric_only bool, default False

      Include only float, int, boolean columns.

      Changed in version 2.0.0: numeric_only no longer accepts `None` and defaults to False.

  Returns:
    Series or DataFrame

      Median of values within each group.

  See also

  `Series.groupby`

    Apply a function groupby to a Series.

  `DataFrame.groupby`

    Apply a function groupby to each row or column of a DataFrame.

  Examples

      >>> ser = pd.Series(
      ...     [1, 2, 3, 3, 4, 5],
      ...     index=pd.DatetimeIndex(
      ...         [
      ...             "2023-01-01",
      ...             "2023-01-10",
      ...             "2023-01-15",
      ...             "2023-02-01",
      ...             "2023-02-10",
      ...             "2023-02-15",
      ...         ]
      ...     ),
      ... )
      >>> ser.resample("MS").median()
      2023-01-01    2.0
      2023-02-01    4.0
      Freq: MS, dtype: float64