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Classe « Categorical »

Méthode pandas.Categorical.rename_categories

Signature de la méthode rename_categories

def rename_categories(self, new_categories) -> 'Self' 

Description

help(Categorical.rename_categories)

Rename categories.

Parameters
----------
new_categories : list-like, dict-like or callable

    New categories which will replace old categories.

    * list-like: all items must be unique and the number of items in
      the new categories must match the existing number of categories.

    * dict-like: specifies a mapping from
      old categories to new. Categories not contained in the mapping
      are passed through and extra categories in the mapping are
      ignored.

    * callable : a callable that is called on all items in the old
      categories and whose return values comprise the new categories.

Returns
-------
Categorical
    Categorical with renamed categories.

Raises
------
ValueError
    If new categories are list-like and do not have the same number of
    items than the current categories or do not validate as categories

See Also
--------
reorder_categories : Reorder categories.
add_categories : Add new categories.
remove_categories : Remove the specified categories.
remove_unused_categories : Remove categories which are not used.
set_categories : Set the categories to the specified ones.

Examples
--------
>>> c = pd.Categorical(['a', 'a', 'b'])
>>> c.rename_categories([0, 1])
[0, 0, 1]
Categories (2, int64): [0, 1]

For dict-like ``new_categories``, extra keys are ignored and
categories not in the dictionary are passed through

>>> c.rename_categories({'a': 'A', 'c': 'C'})
['A', 'A', 'b']
Categories (2, object): ['A', 'b']

You may also provide a callable to create the new categories

>>> c.rename_categories(lambda x: x.upper())
['A', 'A', 'B']
Categories (2, object): ['A', 'B']

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