ENH: set __module__ on remaining Dtype classes

pandas/core/arrays/boolean.py

@@ -14,6 +14,7 @@
     lib,
     missing as libmissing,
 )
+from pandas.util._decorators import set_module
 
 from pandas.core.dtypes.common import is_list_like
 from pandas.core.dtypes.dtypes import register_extension_dtype
@@ -39,6 +40,7 @@
 
 
 @register_extension_dtype
+@set_module("pandas")
 class BooleanDtype(BaseMaskedDtype):
     """
     Extension dtype for boolean data.

pandas/core/arrays/floating.py

@@ -8,6 +8,8 @@
 
 import numpy as np
 
+from pandas.util._decorators import set_module
+
 from pandas.core.dtypes.base import register_extension_dtype
 from pandas.core.dtypes.common import is_float_dtype
 
@@ -168,13 +170,15 @@ class FloatingArray(NumericArray):
 
 
 @register_extension_dtype
+@set_module("pandas")
 class Float32Dtype(FloatingDtype):
     type = np.float32
     name: ClassVar[str] = "Float32"
     __doc__ = _dtype_docstring.format(dtype="float32")
 
 
 @register_extension_dtype
+@set_module("pandas")
 class Float64Dtype(FloatingDtype):
     type = np.float64
     name: ClassVar[str] = "Float64"

pandas/core/arrays/integer.py

@@ -8,6 +8,8 @@
 
 import numpy as np
 
+from pandas.util._decorators import set_module
+
 from pandas.core.dtypes.base import register_extension_dtype
 from pandas.core.dtypes.common import is_integer_dtype
 
@@ -218,55 +220,63 @@ class IntegerArray(NumericArray):
 
 
 @register_extension_dtype
+@set_module("pandas")
 class Int8Dtype(IntegerDtype):
     type = np.int8
     name: ClassVar[str] = "Int8"
     __doc__ = _dtype_docstring.format(dtype="int8")
 
 
 @register_extension_dtype
+@set_module("pandas")
 class Int16Dtype(IntegerDtype):
     type = np.int16
     name: ClassVar[str] = "Int16"
     __doc__ = _dtype_docstring.format(dtype="int16")
 
 
 @register_extension_dtype
+@set_module("pandas")
 class Int32Dtype(IntegerDtype):
     type = np.int32
     name: ClassVar[str] = "Int32"
     __doc__ = _dtype_docstring.format(dtype="int32")
 
 
 @register_extension_dtype
+@set_module("pandas")
 class Int64Dtype(IntegerDtype):
     type = np.int64
     name: ClassVar[str] = "Int64"
     __doc__ = _dtype_docstring.format(dtype="int64")
 
 
 @register_extension_dtype
+@set_module("pandas")
 class UInt8Dtype(IntegerDtype):
     type = np.uint8
     name: ClassVar[str] = "UInt8"
     __doc__ = _dtype_docstring.format(dtype="uint8")
 
 
 @register_extension_dtype
+@set_module("pandas")
 class UInt16Dtype(IntegerDtype):
     type = np.uint16
     name: ClassVar[str] = "UInt16"
     __doc__ = _dtype_docstring.format(dtype="uint16")
 
 
 @register_extension_dtype
+@set_module("pandas")
 class UInt32Dtype(IntegerDtype):
     type = np.uint32
     name: ClassVar[str] = "UInt32"
     __doc__ = _dtype_docstring.format(dtype="uint32")
 
 
 @register_extension_dtype
+@set_module("pandas")
 class UInt64Dtype(IntegerDtype):
     type = np.uint64
     name: ClassVar[str] = "UInt64"

pandas/tests/api/test_api.py

@@ -412,11 +412,23 @@ def test_util_in_top_level(self):
 def test_set_module():
     assert pd.DataFrame.__module__ == "pandas"
     assert pd.CategoricalDtype.__module__ == "pandas"
+    assert pd.DatetimeTZDtype.__module__ == "pandas"
     assert pd.PeriodDtype.__module__ == "pandas"
     assert pd.IntervalDtype.__module__ == "pandas"
     assert pd.SparseDtype.__module__ == "pandas"
     assert pd.ArrowDtype.__module__ == "pandas"
     assert pd.StringDtype.__module__ == "pandas"
+    assert pd.BooleanDtype.__module__ == "pandas"
+    assert pd.Int8Dtype.__module__ == "pandas"
+    assert pd.Int16Dtype.__module__ == "pandas"
+    assert pd.Int32Dtype.__module__ == "pandas"
+    assert pd.Int64Dtype.__module__ == "pandas"
+    assert pd.UInt8Dtype.__module__ == "pandas"
+    assert pd.UInt16Dtype.__module__ == "pandas"
+    assert pd.UInt32Dtype.__module__ == "pandas"
+    assert pd.UInt64Dtype.__module__ == "pandas"
+    assert pd.Float32Dtype.__module__ == "pandas"
+    assert pd.Float64Dtype.__module__ == "pandas"
     assert pd.Index.__module__ == "pandas"
     assert pd.CategoricalIndex.__module__ == "pandas"
     assert pd.DatetimeIndex.__module__ == "pandas"