pandas.api.types.is_dtype_equal#

pandas.api.types.is_dtype_equal(source, target)[source]#

Check if two dtypes are equal.

Parameters:

sourcetype or str

The first dtype to compare.

targettype 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.core.dtypes.dtypes import CategoricalDtype
>>> is_dtype_equal(CategoricalDtype(), "category")
True
>>> from pandas.core.dtypes.dtypes import DatetimeTZDtype
>>> is_dtype_equal(DatetimeTZDtype(tz="UTC"), "datetime64")
False