pandas.core.resample.Resampler.prod#

final Resampler.prod(numeric_only=False, min_count=0)[source]#

Compute prod of group values.

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

Computed prod of values within each group.

See also

core.resample.Resampler.sum

Compute sum of groups, excluding missing values.

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").prod()
2023-01-01    2
2023-02-01   12
Freq: MS, dtype: int64