pandas.core.groupby.GroupBy.tail¶
- GroupBy.tail(n=5)[source]¶
Return last n rows of each group.
Similar to
.apply(lambda x: x.tail(n))
, but it returns a subset of rows from the original DataFrame with original index and order preserved (as_index
flag is ignored).Does not work for negative values of n.
- Returns
- Series or DataFrame
See also
Series.groupby
Apply a function groupby to a Series.
DataFrame.groupby
Apply a function groupby to each row or column of a DataFrame.
Examples
>>> df = pd.DataFrame([['a', 1], ['a', 2], ['b', 1], ['b', 2]], ... columns=['A', 'B']) >>> df.groupby('A').tail(1) A B 1 a 2 3 b 2 >>> df.groupby('A').tail(-1) Empty DataFrame Columns: [A, B] Index: []