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