Be aware that assigning to :None:None:`categories` is a inplace operation, while all methods return new categorical data per default (but can be called with :None:None:`inplace=True`).

Parameters

data : Series or CategoricalIndex

Accessor object for categorical properties of the Series values.

Examples

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

>>> s = pd.Series(list("abbccc")).astype("category")
... s
0    a
1    b
2    b
3    c
4    c
5    c
dtype: category
Categories (3, object): ['a', 'b', 'c']

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

>>> s.cat.categories
Index(['a', 'b', 'c'], dtype='object')

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

>>> s.cat.rename_categories(list("cba"))
0    c
1    b
2    b
3    a
4    a
5    a
dtype: category
Categories (3, object): ['c', 'b', 'a']

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

>>> s.cat.reorder_categories(list("cba"))
0    a
1    b
2    b
3    c
4    c
5    c
dtype: category
Categories (3, object): ['c', 'b', 'a']

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

>>> s.cat.add_categories(["d", "e"])
0    a
1    b
2    b
3    c
4    c
5    c
dtype: category
Categories (5, object): ['a', 'b', 'c', 'd', 'e']

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

>>> s.cat.remove_categories(["a", "c"])
0    NaN
1      b
2      b
3    NaN
4    NaN
5    NaN
dtype: category
Categories (1, object): ['b']

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

>>> s1 = s.cat.add_categories(["d", "e"])
... s1.cat.remove_unused_categories()
0    a
1    b
2    b
3    c
4    c
5    c
dtype: category
Categories (3, object): ['a', 'b', 'c']

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

>>> s.cat.set_categories(list("abcde"))
0    a
1    b
2    b
3    c
4    c
5    c
dtype: category
Categories (5, object): ['a', 'b', 'c', 'd', 'e']

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

>>> s.cat.as_ordered()
0    a
1    b
2    b
3    c
4    c
5    c
dtype: category
Categories (3, object): ['a' < 'b' < 'c']

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

>>> s.cat.as_unordered()
0    a
1    b
2    b
3    c
4    c
5    c
dtype: category
Categories (3, object): ['a', 'b', 'c']

See :

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File: /pandas/core/arrays/categorical.py#2589
type: <class 'type'>
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