pandas.core.resample.Resampler.last#
- Resampler.last(numeric_only=_NoDefault.no_default, min_count=0, *args, **kwargs)[source]#
Compute the last non-null entry of each column.
- Parameters
- numeric_onlybool, default False
Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data.
- min_countint, default -1
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
Last non-null of values within each group.
See also
DataFrame.groupby
Apply a function groupby to each row or column of a DataFrame.
DataFrame.core.groupby.GroupBy.first
Compute the first non-null entry of each column.
DataFrame.core.groupby.GroupBy.nth
Take the nth row from each group.
Examples
>>> df = pd.DataFrame(dict(A=[1, 1, 3], B=[5, None, 6], C=[1, 2, 3])) >>> df.groupby("A").last() B C A 1 5.0 2 3 6.0 3