Skip to main content
`Ctrl`+`K`

# pandas.Index.is_object

final Index.is_object()

  Check if the Index is of the object dtype.

  Deprecated since version 2.0.0: Use pandas.api.types.is_object_dtype instead.

  Returns:
    bool

      Whether or not the Index is of the object dtype.

  See also

  `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_categorical`

    Check if the Index holds categorical data (deprecated).

  `is_interval`

    Check if the Index holds Interval objects (deprecated).

  Examples

      >>> idx = pd.Index(["Apple", "Mango", "Watermelon"])
      >>> idx.is_object()
      True

      >>> idx = pd.Index(["Apple", "Mango", 2.0])
      >>> idx.is_object()
      True

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

      >>> idx = pd.Index([1.0, 2.0, 3.0, 4.0])
      >>> idx.is_object()
      False