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Module « pandas »

Classe « CategoricalIndex »

Informations générales

Héritage

builtins.object
    DirNamesMixin
        PandasObject
builtins.object
    OpsMixin
        IndexOpsMixin
            Index
                ExtensionIndex
                    NDArrayBackedExtensionIndex
                        CategoricalIndex

Définition

class CategoricalIndex(NDArrayBackedExtensionIndex):

help(CategoricalIndex)

Index based on an underlying :class:`Categorical`.

CategoricalIndex, like Categorical, can only take on a limited,
and usually fixed, number of possible values (`categories`). Also,
like Categorical, it might have an order, but numerical operations
(additions, divisions, ...) are not possible.

Parameters
----------
data : array-like (1-dimensional)
    The values of the categorical. If `categories` are given, values not in
    `categories` will be replaced with NaN.
categories : index-like, optional
    The categories for the categorical. Items need to be unique.
    If the categories are not given here (and also not in `dtype`), they
    will be inferred from the `data`.
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`.
copy : bool, default False
    Make a copy of input ndarray.
name : object, optional
    Name to be stored in the index.

Attributes
----------
codes
categories
ordered

Methods
-------
rename_categories
reorder_categories
add_categories
remove_categories
remove_unused_categories
set_categories
as_ordered
as_unordered
map

Raises
------
ValueError
    If the categories do not validate.
TypeError
    If an explicit ``ordered=True`` is given but no `categories` and the
    `values` are not sortable.

See Also
--------
Index : The base pandas Index type.
Categorical : A categorical array.
CategoricalDtype : Type for categorical data.

Notes
-----
See the `user guide
<https://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html#categoricalindex>`__
for more.

Examples
--------
>>> pd.CategoricalIndex(["a", "b", "c", "a", "b", "c"])
CategoricalIndex(['a', 'b', 'c', 'a', 'b', 'c'],
                 categories=['a', 'b', 'c'], ordered=False, dtype='category')

``CategoricalIndex`` can also be instantiated from a ``Categorical``:

>>> c = pd.Categorical(["a", "b", "c", "a", "b", "c"])
>>> pd.CategoricalIndex(c)
CategoricalIndex(['a', 'b', 'c', 'a', 'b', 'c'],
                 categories=['a', 'b', 'c'], ordered=False, dtype='category')

Ordered ``CategoricalIndex`` can have a min and max value.

>>> ci = pd.CategoricalIndex(
...     ["a", "b", "c", "a", "b", "c"], ordered=True, categories=["c", "b", "a"]
... )
>>> ci
CategoricalIndex(['a', 'b', 'c', 'a', 'b', 'c'],
                 categories=['c', 'b', 'a'], ordered=True, dtype='category')
>>> ci.min()
'c'

Constructeur(s)

Signature du constructeur	Description
__new__(cls, data=None, categories=None, ordered=None, dtype: 'Dtype | None' = None, copy: 'bool' = False, name: 'Hashable | None' = None) -> 'Self'
__init__(self, /, *args, **kwargs)	Initialize self. See help(type(self)) for accurate signature. [extrait de __init__.__doc__]

Attributs statiques hérités de la classe NDArrayBackedExtensionIndex

inferred_type

Propriétés héritées de la classe IndexOpsMixin

array, dtype, is_unique

Opérateurs hérités de la classe Index

__getitem__, __iadd__, __invert__, __neg__, __pos__, __setitem__

Opérateurs hérités de la classe OpsMixin

__add__, __and__, __eq__, __floordiv__, __ge__, __gt__, __le__, __lt__, __mod__, __mul__, __ne__, __or__, __pow__, __radd__, __rand__, __rfloordiv__, __rmod__, __rmul__, __ror__, __rpow__, __rsub__, __rtruediv__, __rxor__, __sub__, __truediv__, __xor__

Méthodes héritées de la classe NDArrayBackedExtensionIndex

__init_subclass__, __subclasshook__

Méthodes héritées de la classe Index

__abs__, __array__, __array_ufunc__, __array_wrap__, __bool__, __copy__, __deepcopy__, __len__, __nonzero__, __reduce__, __repr__, all, any, append, argmax, argmin, argsort, asof, asof_locs, astype, copy, delete, diff, difference, drop, drop_duplicates, droplevel, dropna, duplicated, fillna, format, get_indexer, get_indexer_for, get_indexer_non_unique, get_level_values, get_loc, get_slice_bound, groupby, holds_integer, identical, infer_objects, insert, intersection, is_, is_boolean, is_categorical, is_floating, is_integer, is_interval, is_numeric, is_object, isin, isna, isnull, join, max, memory_usage, min, notna, notnull, putmask, ravel, rename, repeat, round, set_names, shift, slice_indexer, slice_locs, sort, sort_values, sortlevel, symmetric_difference, take, to_flat_index, to_frame, to_series, union, unique, view, where

Méthodes héritées de la classe PandasObject

__sizeof__

Méthodes héritées de la classe DirNamesMixin

__dir__

Méthodes héritées de la classe IndexOpsMixin

__iter__, factorize, item, nunique, searchsorted, to_list, to_numpy, tolist, transpose, value_counts

Méthodes héritées de la classe OpsMixin

__divmod__, __rdivmod__

Méthodes héritées de la classe object

__delattr__, __format__, __getattribute__, __getstate__, __hash__, __reduce_ex__, __setattr__, __str__

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