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Classe « Categorical »

Méthode pandas.Categorical.from_codes

Signature de la méthode from_codes

def from_codes(codes, categories=None, ordered=None, dtype: 'Dtype | None' = None, validate: 'bool' = True) -> 'Self' 

Description

help(Categorical.from_codes)

Make a Categorical type from codes and categories or dtype.

This constructor is useful if you already have codes and
categories/dtype and so do not need the (computation intensive)
factorization step, which is usually done on the constructor.

If your data does not follow this convention, please use the normal
constructor.

Parameters
----------
codes : array-like of int
    An integer array, where each integer points to a category in
    categories or dtype.categories, or else is -1 for NaN.
categories : index-like, optional
    The categories for the categorical. Items need to be unique.
    If the categories are not given here, then they must be provided
    in `dtype`.
ordered : bool, optional
    Whether or not this categorical is treated as an ordered
    categorical. If not given here or in `dtype`, the resulting
    categorical will be unordered.
dtype : CategoricalDtype or "category", optional
    If :class:`CategoricalDtype`, cannot be used together with
    `categories` or `ordered`.
validate : bool, default True
    If True, validate that the codes are valid for the dtype.
    If False, don't validate that the codes are valid. Be careful about skipping
    validation, as invalid codes can lead to severe problems, such as segfaults.

    .. versionadded:: 2.1.0

Returns
-------
Categorical

Examples
--------
>>> dtype = pd.CategoricalDtype(['a', 'b'], ordered=True)
>>> pd.Categorical.from_codes(codes=[0, 1, 0, 1], dtype=dtype)
['a', 'b', 'a', 'b']
Categories (2, object): ['a' < 'b']

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