ENH: set __module__ for Dtype and Index classes (#59909)

Co-authored-by: Amir <acb@REVWKS049.d2sim7.loc>
Co-authored-by: Joris Van den Bossche <jorisvandenbossche@gmail.com>

Author: 3 people

pandas/core/dtypes/dtypes.py

@@ -48,6 +48,7 @@
 from pandas._libs.tslibs.offsets import BDay
 from pandas.compat import pa_version_under10p1
 from pandas.errors import PerformanceWarning
+from pandas.util._decorators import set_module
 from pandas.util._exceptions import find_stack_level
 
 from pandas.core.dtypes.base import (
@@ -155,6 +156,7 @@ class CategoricalDtypeType(type):
 
 
 @register_extension_dtype
+@set_module("pandas")
 class CategoricalDtype(PandasExtensionDtype, ExtensionDtype):
     """
     Type for categorical data with the categories and orderedness.
@@ -706,6 +708,7 @@ def index_class(self) -> type_t[CategoricalIndex]:
 
 
 @register_extension_dtype
+@set_module("pandas")
 class DatetimeTZDtype(PandasExtensionDtype):
     """
     An ExtensionDtype for timezone-aware datetime data.
@@ -974,6 +977,7 @@ def index_class(self) -> type_t[DatetimeIndex]:
 
 
 @register_extension_dtype
+@set_module("pandas")
 class PeriodDtype(PeriodDtypeBase, PandasExtensionDtype):
     """
     An ExtensionDtype for Period data.
@@ -1215,6 +1219,7 @@ def index_class(self) -> type_t[PeriodIndex]:
 
 
 @register_extension_dtype
+@set_module("pandas")
 class IntervalDtype(PandasExtensionDtype):
     """
     An ExtensionDtype for Interval data.
@@ -1691,6 +1696,7 @@ def _get_common_dtype(self, dtypes: list[DtypeObj]) -> DtypeObj | None:
 
 
 @register_extension_dtype
+@set_module("pandas")
 class SparseDtype(ExtensionDtype):
     """
     Dtype for data stored in :class:`SparseArray`.
@@ -2130,6 +2136,7 @@ def _get_common_dtype(self, dtypes: list[DtypeObj]) -> DtypeObj | None:
 
 
 @register_extension_dtype
+@set_module("pandas")
 class ArrowDtype(StorageExtensionDtype):
     """
     An ExtensionDtype for PyArrow data types.

pandas/core/indexes/base.py

@@ -71,6 +71,7 @@
     Appender,
     cache_readonly,
     doc,
+    set_module,
 )
 from pandas.util._exceptions import (
     find_stack_level,
@@ -315,6 +316,7 @@ def _new_Index(cls, d):
     return cls.__new__(cls, **d)
 
 
+@set_module("pandas")
 class Index(IndexOpsMixin, PandasObject):
     """
     Immutable sequence used for indexing and alignment.

pandas/core/indexes/category.py

@@ -13,6 +13,7 @@
 from pandas.util._decorators import (
     cache_readonly,
     doc,
+    set_module,
 )
 
 from pandas.core.dtypes.common import is_scalar
@@ -76,6 +77,7 @@
     Categorical,
     wrap=True,
 )
+@set_module("pandas")
 class CategoricalIndex(NDArrayBackedExtensionIndex):
     """
     Index based on an underlying :class:`Categorical`.

pandas/core/indexes/datetimes.py

@@ -26,6 +26,7 @@
 from pandas.util._decorators import (
     cache_readonly,
     doc,
+    set_module,
 )
 
 from pandas.core.dtypes.common import is_scalar
@@ -126,6 +127,7 @@ def _new_DatetimeIndex(cls, d):
     + DatetimeArray._bool_ops,
     DatetimeArray,
 )
+@set_module("pandas")
 class DatetimeIndex(DatetimeTimedeltaMixin):
     """
     Immutable ndarray-like of datetime64 data.

pandas/core/indexes/interval.py

@@ -32,6 +32,7 @@
 from pandas.util._decorators import (
     Appender,
     cache_readonly,
+    set_module,
 )
 from pandas.util._exceptions import rewrite_exception
 
@@ -202,6 +203,7 @@ def _new_IntervalIndex(cls, d):
     IntervalArray,
 )
 @inherit_names(["is_non_overlapping_monotonic", "closed"], IntervalArray, cache=True)
+@set_module("pandas")
 class IntervalIndex(ExtensionIndex):
     _typ = "intervalindex"
 

pandas/core/indexes/multi.py

@@ -53,6 +53,7 @@
     Appender,
     cache_readonly,
     doc,
+    set_module,
 )
 from pandas.util._exceptions import find_stack_level
 
@@ -195,6 +196,7 @@ def new_meth(self_or_cls, *args, **kwargs):
     return cast(F, new_meth)
 
 
+@set_module("pandas")
 class MultiIndex(Index):
     """
     A multi-level, or hierarchical, index object for pandas objects.

pandas/core/indexes/period.py

@@ -20,6 +20,7 @@
 from pandas.util._decorators import (
     cache_readonly,
     doc,
+    set_module,
 )
 
 from pandas.core.dtypes.common import is_integer
@@ -81,6 +82,7 @@ def _new_PeriodIndex(cls, **d):
     wrap=True,
 )
 @inherit_names(["is_leap_year"], PeriodArray)
+@set_module("pandas")
 class PeriodIndex(DatetimeIndexOpsMixin):
     """
     Immutable ndarray holding ordinal values indicating regular periods in time.

pandas/core/indexes/range.py

@@ -27,6 +27,7 @@
 from pandas.util._decorators import (
     cache_readonly,
     doc,
+    set_module,
 )
 
 from pandas.core.dtypes.base import ExtensionDtype
@@ -74,6 +75,7 @@ def min_fitting_element(start: int, step: int, lower_limit: int) -> int:
     return start + abs(step) * no_steps
 
 
+@set_module("pandas")
 class RangeIndex(Index):
     """
     Immutable Index implementing a monotonic integer range.

pandas/core/indexes/timedeltas.py

@@ -13,6 +13,7 @@
     Timedelta,
     to_offset,
 )
+from pandas.util._decorators import set_module
 
 from pandas.core.dtypes.common import (
     is_scalar,
@@ -50,6 +51,7 @@
     ],
     TimedeltaArray,
 )
+@set_module("pandas")
 class TimedeltaIndex(DatetimeTimedeltaMixin):
     """
     Immutable Index of timedelta64 data.

pandas/tests/api/test_api.py

@@ -400,6 +400,19 @@ def test_util_in_top_level(self):
 
 def test_set_module():
     assert pd.DataFrame.__module__ == "pandas"
+    assert pd.CategoricalDtype.__module__ == "pandas"
+    assert pd.PeriodDtype.__module__ == "pandas"
+    assert pd.IntervalDtype.__module__ == "pandas"
+    assert pd.SparseDtype.__module__ == "pandas"
+    assert pd.ArrowDtype.__module__ == "pandas"
+    assert pd.Index.__module__ == "pandas"
+    assert pd.CategoricalIndex.__module__ == "pandas"
+    assert pd.DatetimeIndex.__module__ == "pandas"
+    assert pd.IntervalIndex.__module__ == "pandas"
+    assert pd.MultiIndex.__module__ == "pandas"
+    assert pd.PeriodIndex.__module__ == "pandas"
+    assert pd.RangeIndex.__module__ == "pandas"
+    assert pd.TimedeltaIndex.__module__ == "pandas"
     assert pd.Period.__module__ == "pandas"
     assert pd.Timestamp.__module__ == "pandas"
     assert pd.Timedelta.__module__ == "pandas"