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# pandas.api.types.is_dtype_equal

pandas.api.types.is_dtype_equal(source, target)

  Check if two dtypes are equal.

  Parameters:
    source type or str

      The first dtype to compare.

    target type or str

      The second dtype to compare.

  Returns:
    boolean

      Whether or not the two dtypes are equal.

  See also

  `api.types.is_categorical_dtype`

    Check whether the provided array or dtype is of the Categorical dtype.

  `api.types.is_string_dtype`

    Check whether the provided array or dtype is of the string 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_dtype_equal
      >>> is_dtype_equal(int, float)
      False
      >>> is_dtype_equal("int", int)
      True
      >>> is_dtype_equal(object, "category")
      False
      >>> from pandas.api.types import CategoricalDtype
      >>> is_dtype_equal(CategoricalDtype(), "category")
      True
      >>> from pandas.api.types import DatetimeTZDtype
      >>> is_dtype_equal(DatetimeTZDtype(tz="UTC"), "datetime64")
      False