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DOC: Fixed the doctsring for _set_axis_name (GH 22895) #22969
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Original file line number | Diff line number | Diff line change |
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@@ -1154,29 +1154,32 @@ def rename_axis(self, mapper, axis=0, copy=True, inplace=False): | |
-------- | ||
**Series** | ||
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>>> 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.rename_axis("animal") | ||
animal | ||
0 dog | ||
1 cat | ||
2 monkey | ||
dtype: object | ||
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**DataFrame** | ||
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>>> 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 | ||
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>>> df.rename_axis("bar", axis="columns") | ||
bar A B | ||
0 1 4 | ||
1 2 5 | ||
2 3 6 | ||
>>> df = pd.DataFrame({"name": ["dog", "cat", "monkey"], "legs": [4, 4, 2]}) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. this is longer than 79 characters, isn't it? |
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name legs | ||
0 dog 4 | ||
1 cat 4 | ||
2 monkey 2 | ||
>>> df.rename_axis("animal") | ||
name legs | ||
animal | ||
0 dog 4 | ||
1 cat 4 | ||
2 monkey 2 | ||
>>> df.rename_axis("id", axis="columns") | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. In this case, the concept It could make more sense to have the name as the index, and then may be a column There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Makes sense |
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id name legs | ||
0 dog 4 | ||
1 cat 4 | ||
2 monkey 2 | ||
""" | ||
inplace = validate_bool_kwarg(inplace, 'inplace') | ||
non_mapper = is_scalar(mapper) or (is_list_like(mapper) and not | ||
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@@ -1194,44 +1197,52 @@ def rename_axis(self, mapper, axis=0, copy=True, inplace=False): | |
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def _set_axis_name(self, name, axis=0, inplace=False): | ||
""" | ||
Alter the name or names of the axis. | ||
Alter the label(s) of the axis. | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. This doesn't seem correct. Altering the labels would be changing the names of the columns, not the name of the axis itself. And small thing, but alter doesn't necessarily need to be correct. If the axis doesn't have a name, it's setting it, but not altering. |
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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 | ||
Labels(s) to set. | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Same as before, label is the names of each individual column, not the name of the axis |
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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 : boolean, default False | ||
If `True`, do operation inplace and return None. | ||
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.. versionadded:: 0.21.0 | ||
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Returns | ||
------- | ||
renamed : same type as caller or None if inplace=True | ||
Series, DataFrame, Panel, or None | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Can you remove |
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The same type as the caller or `None` if `inplace` is `True`. | ||
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See Also | ||
-------- | ||
pandas.DataFrame.rename | ||
pandas.Series.rename | ||
pandas.Index.rename | ||
pandas.DataFrame.rename : Alter the labels of :class:`DataFrame`. | ||
pandas.Series.rename : Alter the name or the labels :class:`Series`. | ||
pandas.Index.rename : Alter the name of :class:`Index` | ||
or :class:`MultiIndex`. | ||
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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({"legs": [4, 4, 2]}) | ||
legs | ||
0 4 | ||
1 4 | ||
2 2 | ||
>>> df._set_axis_name("animal") | ||
legs | ||
animal | ||
0 4 | ||
1 2 | ||
2 0 | ||
>>> 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 | ||
""" | ||
axis = self._get_axis_number(axis) | ||
idx = self._get_axis(axis).set_names(name) | ||
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