dask.dataframe.groupby.DataFrameGroupBy.last

dask.dataframe.groupby.DataFrameGroupBy.last

DataFrameGroupBy.last(split_every=None, split_out=1, shuffle=None)

Compute the last non-null entry of each column.

This docstring was copied from pandas.core.groupby.groupby.GroupBy.last.

Some inconsistencies with the Dask version may exist.

Parameters
numeric_onlybool, default False (Not supported in Dask)

Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data.

min_countint, default -1 (Not supported in Dask)

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