pandas.core.resample.Resampler.count#
- final Resampler.count()[source]#
Compute count of group, excluding missing values.
- Returns:
- Series or DataFrame
Count of values within each group.
See also
Series.groupby
Apply a function groupby to a Series.
DataFrame.groupby
Apply a function groupby to each row or column of a DataFrame.
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").count() 2023-01-01 2 2023-02-01 2 Freq: MS, dtype: int64