pandas.core.resample.Resampler.sum#
- final Resampler.sum(numeric_only=False, min_count=0, *args, **kwargs)[source]#
Compute sum 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 sum of values within each group.
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').sum() 2023-01-01 3 2023-02-01 7 Freq: MS, dtype: int64