pandas.Index.is_categorical — pandas 2.2.3 documentation (original) (raw)

final Index.is_categorical()[source]#

Check if the Index holds categorical data.

Deprecated since version 2.0.0: Use isinstance(index.dtype, pd.CategoricalDtype) instead.

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 (deprecated).

is_integer

Check if the Index only consists of integers (deprecated).

is_floating

Check if the Index is a floating type (deprecated).

is_numeric

Check if the Index only consists of numeric data (deprecated).

is_object

Check if the Index is of the object dtype. (deprecated).

is_interval

Check if the Index holds Interval objects (deprecated).

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