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Méthode pandas.Index.is_categorical

Signature de la méthode is_categorical

def is_categorical(self) -> bool 

Description

is_categorical.__doc__

        Check if the Index holds categorical data.

        Returns
        -------
        bool
            True if the Index is categorical.

        See Also
        --------
        CategoricalIndex : Index for categorical data.
        is_boolean : Check if the Index only consists of booleans.
        is_integer : Check if the Index only consists of integers.
        is_floating : Check if the Index is a floating type.
        is_numeric : Check if the Index only consists of numeric data.
        is_object : Check if the Index is of the object dtype.
        is_interval : Check if the Index holds Interval objects.
        is_mixed : Check if the Index holds data with mixed data types.

        Examples
        --------
        >>> idx = pd.Index(["Watermelon", "Orange", "Apple",
        ...                 "Watermelon"]).astype("category")
        >>> idx.is_categorical()
        True

        >>> idx = pd.Index([1, 3, 5, 7])
        >>> idx.is_categorical()
        False

        >>> s = pd.Series(["Peter", "Victor", "Elisabeth", "Mar"])
        >>> s
        0        Peter
        1       Victor
        2    Elisabeth
        3          Mar
        dtype: object
        >>> s.index.is_categorical()
        False