pandas.core.resample.Resampler.last

final Resampler.last(numeric_only=False, min_count=0, skipna=True)

Compute the last non-null entry of each column.

Parameters:

numeric_onlybool, default False

Include only float, int, boolean columns.

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.

skipnabool, default True

Exclude NA/null values. If an entire group is NA, the result will be NA.

Returns:

Series or DataFrame

Last of values within each group.

See also

core.resample.Resampler.first

Compute the first non-null value in each group.

core.resample.Resampler.mean

Compute mean of groups, excluding missing values.

Examples

>>> s = pd.Series(
...     [1, 2, 3, 4],
...     index=pd.DatetimeIndex(
...         ["2023-01-01", "2023-01-15", "2023-02-01", "2023-02-15"]
...     ),
... )
>>> s
2023-01-01    1
2023-01-15    2
2023-02-01    3
2023-02-15    4
dtype: int64
>>> s.resample("MS").last()
2023-01-01    2
2023-02-01    4
Freq: MS, dtype: int64