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class CategoricalDtype(PandasExtensionDtype, ExtensionDtype):
Description [extrait de CategoricalDtype.__doc__]
Type for categorical data with the categories and orderedness.
Parameters
----------
categories : sequence, optional
Must be unique, and must not contain any nulls.
The categories are stored in an Index,
and if an index is provided the dtype of that index will be used.
ordered : bool or None, default False
Whether or not this categorical is treated as a ordered categorical.
None can be used to maintain the ordered value of existing categoricals when
used in operations that combine categoricals, e.g. astype, and will resolve to
False if there is no existing ordered to maintain.
Attributes
----------
categories
ordered
Methods
-------
None
See Also
--------
Categorical : Represent a categorical variable in classic R / S-plus fashion.
Notes
-----
This class is useful for specifying the type of a ``Categorical``
independent of the values. See :ref:`categorical.categoricaldtype`
for more.
Examples
--------
>>> t = pd.CategoricalDtype(categories=['b', 'a'], ordered=True)
>>> pd.Series(['a', 'b', 'a', 'c'], dtype=t)
0 a
1 b
2 a
3 NaN
dtype: category
Categories (2, object): ['b' < 'a']
An empty CategoricalDtype with a specific dtype can be created
by providing an empty index. As follows,
>>> pd.CategoricalDtype(pd.DatetimeIndex([])).categories.dtype
dtype('<M8[ns]')
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