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# pandas.api.types.is_float_dtype

pandas.api.types.is_float_dtype(arr_or_dtype)

  Check whether the provided array or dtype is of a float dtype.

  The function checks for floating-point data types, which represent real numbers that may have fractional components.

  Parameters:
    arr_or_dtype array-like or dtype

      The array or dtype to check.

  Returns:
    boolean

      Whether or not the array or dtype is of a float dtype.

  See also

  `api.types.is_numeric_dtype`

    Check whether the provided array or dtype is of a numeric dtype.

  `api.types.is_integer_dtype`

    Check whether the provided array or dtype is of an integer dtype.

  `api.types.is_object_dtype`

    Check whether an array-like or dtype is of the object dtype.

  Examples

      >>> from pandas.api.types import is_float_dtype
      >>> is_float_dtype(str)
      False
      >>> is_float_dtype(int)
      False
      >>> is_float_dtype(float)
      True
      >>> is_float_dtype(np.array(["a", "b"]))
      False
      >>> is_float_dtype(pd.Series([1, 2]))
      False
      >>> is_float_dtype(pd.Index([1, 2.0]))
      True