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# pandas.Index.is_floating

final Index.is_floating()

  Check if the Index is a floating type.

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

  The Index may consist of only floats, NaNs, or a mix of floats, integers, or NaNs.

  Returns:
    bool

      Whether or not the Index only consists of only consists of floats, NaNs, or a mix of floats, integers, or NaNs.

  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_numeric`

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

  `is_object`

    Check if the Index is of the object dtype. (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([1.0, 2.0, 3.0, 4.0])
      >>> idx.is_floating()
      True

      >>> idx = pd.Index([1.0, 2.0, np.nan, 4.0])
      >>> idx.is_floating()
      True

      >>> idx = pd.Index([1, 2, 3, 4, np.nan])
      >>> idx.is_floating()
      True

      >>> idx = pd.Index([1, 2, 3, 4])
      >>> idx.is_floating()
      False