pandas.core.resample.Resampler.max

final Resampler.max(numeric_only=False, min_count=0)

Compute max value of group.

Parameters:

numeric_onlybool, default False

Include only float, int, boolean columns.

Changed in version 2.0.0: numeric_only no longer accepts None.

min_countint, 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

Computes the maximum value in the given Series or Dataframe.

See also

core.resample.Resampler.min

Compute min 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").max()
2023-01-01    2
2023-02-01    4
Freq: MS, dtype: int64