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# pandas.Index.is_categorical

final Index.is_categorical()

  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