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