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