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DOC: update the DataFrame.pivot docstring #20250

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merged 7 commits into from
Mar 12, 2018
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DOC: update the DataFrame.pivot docstring #20250

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DOC: DataFrame.pivot
amuta Mar 10, 2018
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DOC: grammar
amuta Mar 10, 2018
e880c47
Fixing pivot
amuta Mar 10, 2018
3dbafa1
Added Raises and example
TomAugspurger Mar 12, 2018
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Say what to do
TomAugspurger Mar 12, 2018
fb80f04
Refer to user guide
TomAugspurger Mar 12, 2018
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Fixed name
TomAugspurger Mar 12, 2018
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38 changes: 21 additions & 17 deletions pandas/core/frame.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4341,44 +4341,48 @@ def last_valid_index(self):

def pivot(self, index=None, columns=None, values=None):
"""
Return reshaped DataFrame organized by given index / column values.

Reshape data (produce a "pivot" table) based on column values. Uses
unique values from index / columns to form axes of the resulting
DataFrame.
unique values from specified `index` / `columns` to form axes of the resulting
DataFrame. This function does not support data aggregation, multiple
values will result in hierarchically indexed columns.
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in multiindexed columns.


Parameters
----------
index : string or object, optional
Column name to use to make new frame's index. If None, uses
Column to use to make new frame's index. If None, uses
existing index.
columns : string or object
Column name to use to make new frame's columns
Column to use to make new frame's columns.
values : string or object, optional
Column name to use for populating new frame's values. If not
Column to use for populating new frame's values. If not
specified, all remaining columns will be used and the result will
have hierarchically indexed columns
have hierarchically indexed columns.

Returns
-------
pivoted : DataFrame
DataFrame
Returns reshaped DataFrame.

See also
See Also
--------
DataFrame.pivot_table : generalization of pivot that can handle
duplicate values for one index/column pair
duplicate values for one index/column pair.
DataFrame.unstack : pivot based on the index values instead of a
column
column.

Notes
-----
For finer-tuned control, see hierarchical indexing documentation along
with the related stack/unstack methods
with the related stack/unstack methods.

Examples
--------

>>> df = pd.DataFrame({'foo': ['one','one','one','two','two','two'],
'bar': ['A', 'B', 'C', 'A', 'B', 'C'],
'baz': [1, 2, 3, 4, 5, 6]})
... 'bar': ['A', 'B', 'C', 'A', 'B', 'C'],
... 'baz': [1, 2, 3, 4, 5, 6]})
>>> df
foo bar baz
0 one A 1
Expand All @@ -4389,16 +4393,16 @@ def pivot(self, index=None, columns=None, values=None):
5 two C 6

>>> df.pivot(index='foo', columns='bar', values='baz')
A B C
bar A B C
foo
one 1 2 3
two 4 5 6

>>> df.pivot(index='foo', columns='bar')['baz']
A B C
bar A B C
foo
one 1 2 3
two 4 5 6


"""
from pandas.core.reshape.reshape import pivot
return pivot(self, index=index, columns=columns, values=values)
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