pandas.core.resample.Resampler.median#

final Resampler.median(numeric_only=False)[source]#

Compute median of groups, excluding missing values.

For multiple groupings, the result index will be a MultiIndex

Parameters:

numeric_onlybool, 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