pandas.core.groupby.DataFrameGroupBy.last — pandas 2.2.3 documentation (original) (raw)

DataFrameGroupBy.last(numeric_only=False, min_count=-1, skipna=True)[source]#

Compute the last entry of each column within each group.

Defaults to skipping NA elements.

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 valid values are present the result will be NA.

skipnabool, default True

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

Added in version 2.2.1.

Returns:

Series or DataFrame

Last of values within 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