is_categorical(self) -> 'bool'

Returns

bool

True if the Index is categorical.

Check if the Index holds categorical data.

See Also

CategoricalIndex

Index for categorical data.

is_boolean

Check if the Index only consists of booleans.

is_floating

Check if the Index is a floating type.

is_integer

Check if the Index only consists of integers.

is_interval

Check if the Index holds Interval objects.

is_mixed

Check if the Index holds data with mixed data types.

is_numeric

Check if the Index only consists of numeric data.

is_object

Check if the Index is of the object dtype.

Examples

This example is valid syntax, but we were not able to check execution

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

This example is valid syntax, but we were not able to check execution

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

This example is valid syntax, but we were not able to check execution

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

This example is valid syntax, but we were not able to check execution

>>> s.index.is_categorical()
False

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.indexes.base.Index.is_floating pandas.core.indexes.base.Index.is_interval pandas.core.indexes.base.Index.is_integer pandas.core.indexes.base.Index.is_mixed pandas.core.indexes.base.Index.is_object pandas.core.indexes.base.Index.is_boolean pandas.core.indexes.base.Index.is_numeric

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File: /pandas/core/indexes/base.py#2473
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