tail(self, n=5)

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).

Parameters

n : int

If positive: number of entries to include from end of each group. If negative: number of entries to exclude from start of each group.

Returns

Series or DataFrame

Subset of original Series or DataFrame as determined by n.

Return last n rows of each group.

See Also

DataFrame.groupby

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

Series.groupby

Apply a function groupby to a Series.

Examples

This example is valid syntax, but we were not able to check execution

>>> 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

This example is valid syntax, but we were not able to check execution

>>> df.groupby('A').tail(-1)
   A  B
1  a  2
3  b  2

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.groupby.indexing.GroupByPositionalSelector pandas.core.groupby.indexing.GroupByPositionalSelector.__getitem__

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File: /pandas/core/groupby/groupby.py#3526
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