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DOC: Fixed the doctsring for _set_axis_name (GH 22895) #22969

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merged 15 commits into from
Nov 20, 2018
Merged

DOC: Fixed the doctsring for _set_axis_name (GH 22895) #22969

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a5fd1c3
DOC: Fixed the doctsring for _set_axis_name (GH 22895)
bkjchoi72 Oct 3, 2018
5dbbbd1
Added a new line after the first triple quotes
bkjchoi72 Oct 5, 2018
bc865d4
Removed the new line after the first triple quotes
bkjchoi72 Oct 5, 2018
457c58e
Merge branch 'master' into GH22895_fix_docstring_for_set_axis_name
bkjchoi72 Oct 5, 2018
e469e4e
Merge branch 'master' into GH22895_fix_docstring_for_set_axis_name
bkjchoi72 Oct 8, 2018
7fb8a52
Merge branch 'master' into GH22895_fix_docstring_for_set_axis_name
bkjchoi72 Oct 9, 2018
067fa8d
Modified the description of parameters. Changed the example to animals.
bkjchoi72 Oct 9, 2018
71f3909
Modified the example for DataFrame.rename_axis()
bkjchoi72 Oct 9, 2018
a7eb3d8
Changed the example so that it makes sense
bkjchoi72 Oct 9, 2018
96a5dd1
Fixed the indentation and changed the word "alter" to "set" where app…
bkjchoi72 Oct 10, 2018
22ef507
Merge branch 'master' into GH22895_fix_docstring_for_set_axis_name
bkjchoi72 Oct 10, 2018
b030a6b
Fixed failing docstring test
bkjchoi72 Oct 11, 2018
6d76d44
Merge branch 'master' into GH22895_fix_docstring_for_set_axis_name
bkjchoi72 Oct 11, 2018
adc2694
Adjusted indentation
bkjchoi72 Oct 11, 2018
9d944e8
Merging from master and fixing validation issues in the rename_axis d…
datapythonista Nov 19, 2018
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204 changes: 110 additions & 94 deletions pandas/core/generic.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1109,35 +1109,41 @@ def rename(self, *args, **kwargs):
('inplace', False)])
def rename_axis(self, mapper=None, **kwargs):
"""
Alter the name of the index or name of Index object that is the
columns.
Set the name of the axis for the index or columns.

Parameters
----------
mapper : scalar, list-like, optional
Value to set the axis name attribute.
index, columns : scalar, list-like, dict-like or function, optional
dict-like or functions transformations to apply to
that axis' values.
A scalar, list-like, dict-like or functions transformations to
apply to that axis' values.

Use either ``mapper`` and ``axis`` to
specify the axis to target with ``mapper``, or ``index``
and/or ``columns``.

.. versionchanged:: 0.24.0

axis : int or string, default 0
copy : boolean, default True
axis : {0 or 'index', 1 or 'columns'}, default 0
The axis to rename.
copy : bool, default True
Also copy underlying data.
inplace : boolean, default False
inplace : bool, default False
Modifies the object directly, instead of creating a new Series
or DataFrame.

Returns
-------
renamed : Series, DataFrame, or None
Series, DataFrame, or None
The same type as the caller or None if `inplace` is True.

See Also
--------
Series.rename : Alter Series index labels or name.
DataFrame.rename : Alter DataFrame index labels or name.
Index.rename : Set new names on index.

Notes
-----
Prior to version 0.21.0, ``rename_axis`` could also be used to change
Expand All @@ -1162,75 +1168,73 @@ def rename_axis(self, mapper=None, **kwargs):
We *highly* recommend using keyword arguments to clarify your
intent.

See Also
--------
Series.rename : Alter Series index labels or name.
DataFrame.rename : Alter DataFrame index labels or name.
Index.rename : Set new names on index.

Examples
--------
**Series**

>>> s = pd.Series([1, 2, 3])
>>> s.rename_axis("foo")
foo
0 1
1 2
2 3
dtype: int64
>>> s = pd.Series(["dog", "cat", "monkey"])
>>> s
0 dog
1 cat
2 monkey
dtype: object
>>> s.rename_axis("animal")
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animal
0 dog
1 cat
2 monkey
dtype: object

**DataFrame**

>>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
>>> df.rename_axis("foo")
A B
foo
0 1 4
1 2 5
2 3 6

>>> df.rename_axis("bar", axis="columns")
bar A B
0 1 4
1 2 5
2 3 6

>>> mi = pd.MultiIndex.from_product([['a', 'b', 'c'], [1, 2]],
... names=['let','num'])
>>> df = pd.DataFrame({'x': [i for i in range(len(mi))],
... 'y' : [i*10 for i in range(len(mi))]},
... index=mi)
>>> df.rename_axis(index={'num' : 'n'})
x y
let n
a 1 0 0
2 1 10
b 1 2 20
2 3 30
c 1 4 40
2 5 50

>>> cdf = df.rename_axis(columns='col')
>>> cdf
col x y
let num
a 1 0 0
2 1 10
b 1 2 20
2 3 30
c 1 4 40
2 5 50

>>> cdf.rename_axis(columns=str.upper)
COL x y
let num
a 1 0 0
2 1 10
b 1 2 20
2 3 30
c 1 4 40
2 5 50
>>> df = pd.DataFrame({"num_legs": [4, 4, 2],
... "num_arms": [0, 0, 2]},
... ["dog", "cat", "monkey"])
>>> df
num_legs num_arms
dog 4 0
cat 4 0
monkey 2 2
>>> df = df.rename_axis("animal")
>>> df
num_legs num_arms
animal
dog 4 0
cat 4 0
monkey 2 2
>>> df = df.rename_axis("limbs", axis="columns")
>>> df
limbs num_legs num_arms
animal
dog 4 0
cat 4 0
monkey 2 2

**MultiIndex**

>>> df.index = pd.MultiIndex.from_product([['mammal'],
... ['dog', 'cat', 'monkey']],
... names=['type', 'name'])
>>> df
limbs num_legs num_arms
type name
mammal dog 4 0
cat 4 0
monkey 2 2

>>> df.rename_axis(index={'type': 'class'})
limbs num_legs num_arms
class name
mammal dog 4 0
cat 4 0
monkey 2 2

>>> df.rename_axis(columns=str.upper)
LIMBS num_legs num_arms
type name
mammal dog 4 0
cat 4 0
monkey 2 2
"""
axes, kwargs = self._construct_axes_from_arguments((), kwargs)
copy = kwargs.pop('copy', True)
Expand Down Expand Up @@ -1285,45 +1289,57 @@ def rename_axis(self, mapper=None, **kwargs):

def _set_axis_name(self, name, axis=0, inplace=False):
"""
Alter the name or names of the axis.
Set the name(s) of the axis.

Parameters
----------
name : str or list of str
Name for the Index, or list of names for the MultiIndex
axis : int or str
0 or 'index' for the index; 1 or 'columns' for the columns
inplace : bool
whether to modify `self` directly or return a copy
Name(s) to set.
axis : {0 or 'index', 1 or 'columns'}, default 0
The axis to set the label. The value 0 or 'index' specifies index,
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and the value 1 or 'columns' specifies columns.
inplace : bool, default False
If `True`, do operation inplace and return None.

.. versionadded:: 0.21.0

Returns
-------
renamed : same type as caller or None if inplace=True
Series, DataFrame, or None
The same type as the caller or `None` if `inplace` is `True`.

See Also
--------
pandas.DataFrame.rename
pandas.Series.rename
pandas.Index.rename
DataFrame.rename : Alter the axis labels of :class:`DataFrame`.
Series.rename : Alter the index labels or set the index name
of :class:`Series`.
Index.rename : Set the name of :class:`Index` or :class:`MultiIndex`.

Examples
--------
>>> df._set_axis_name("foo")
A
foo
0 1
1 2
2 3
>>> df.index = pd.MultiIndex.from_product([['A'], ['a', 'b', 'c']])
>>> df._set_axis_name(["bar", "baz"])
A
bar baz
A a 1
b 2
c 3
"""
>>> df = pd.DataFrame({"num_legs": [4, 4, 2]},
... ["dog", "cat", "monkey"])
>>> df
num_legs
dog 4
cat 4
monkey 2
>>> df._set_axis_name("animal")
num_legs
animal
dog 4
cat 4
monkey 2
>>> df.index = pd.MultiIndex.from_product(
... [["mammal"], ['dog', 'cat', 'monkey']])
>>> df._set_axis_name(["type", "name"])
legs
type name
mammal dog 4
cat 4
monkey 2
"""
pd.MultiIndex.from_product([["mammal"], ['dog', 'cat', 'monkey']])
axis = self._get_axis_number(axis)
idx = self._get_axis(axis).set_names(name)

Expand Down