pandas.core.resample.Resampler.mean

final Resampler.mean(numeric_only=False)

Compute mean of groups, excluding missing values.

Parameters:

numeric_onlybool, default False

Include only float, int or boolean data.

Changed in version 2.0.0: numeric_only now defaults to False.

Returns:

DataFrame or Series

Mean of values within each group.

See also

core.resample.Resampler.median

Compute median of groups, excluding missing values.

core.resample.Resampler.sum

Compute sum of groups, excluding missing values.

core.resample.Resampler.std

Compute standard deviation of groups, excluding missing values.

core.resample.Resampler.var

Compute variance 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").mean()
2023-01-01    1.5
2023-02-01    3.5
Freq: MS, dtype: float64