dask.dataframe.tseries.resample.Resampler.last

dask.dataframe.tseries.resample.Resampler.last

Resampler.last()[source]

Compute the last entry of each column within each group.

This docstring was copied from pandas.core.resample.Resampler.last.

Some inconsistencies with the Dask version may exist.

Defaults to skipping NA elements.

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 valid values are present the result will be NA.

skipnabool, default True (Not supported in Dask)

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

New in version 2.2.1.

Returns
Series or DataFrame

Last of values within each group.

See also

DataFrame.groupby

Apply a function groupby to each row or column of a DataFrame.

pandas.core.groupby.DataFrameGroupBy.first

Compute the first non-null entry of each column.

pandas.core.groupby.DataFrameGroupBy.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