numpy
diff --git a/‎numpy/ma/core.pyi
Lines changed: 11 additions & 11 deletions b/‎numpy/ma/core.pyi
Lines changed: 11 additions & 11 deletions
diff --git a/‎numpy/typing/tests/data/reveal/ma.pyi
Lines changed: 8 additions & 0 deletions b/‎numpy/typing/tests/data/reveal/ma.pyi
Lines changed: 8 additions & 0 deletions
@@ -2,13 +2,14 @@
 # ruff: noqa: ANN001, ANN002, ANN003, ANN201, ANN202 ANN204, ANN401
 
 from collections.abc import Sequence
-from typing import Any, Literal, SupportsIndex, TypeAlias, TypeVar, overload
+from typing import Any, Literal, Self, SupportsIndex, TypeAlias, TypeVar, overload
 
 from _typeshed import Incomplete
 from typing_extensions import TypeIs, deprecated
 
 import numpy as np
 from numpy import (
+    _HasDTypeWithRealAndImag,
     _ModeKind,
     _OrderKACF,
     _PartitionKind,
@@ -401,10 +402,6 @@ class MaskedArray(ndarray[_ShapeT_co, _DTypeT_co]):
     def __getitem__(self, indx): ...
     def __setitem__(self, indx, value): ...
     @property
-    def dtype(self) -> _DTypeT_co: ...
-    @dtype.setter
-    def dtype(self: MaskedArray[Any, _DTypeT], dtype: _DTypeT, /) -> None: ...
-    @property
     def shape(self) -> _ShapeT_co: ...
     @shape.setter
     def shape(self: MaskedArray[_ShapeT, Any], shape: _ShapeT, /) -> None: ...
@@ -426,7 +423,7 @@ class MaskedArray(ndarray[_ShapeT_co, _DTypeT_co]):
     def sharedmask(self): ...
     def shrink_mask(self): ...
     @property
-    def baseclass(self): ...
+    def baseclass(self) -> type[NDArray[Any]]: ...
     data: Any
     @property
     def flat(self): ...
@@ -468,10 +465,10 @@ class MaskedArray(ndarray[_ShapeT_co, _DTypeT_co]):
     def __itruediv__(self, other): ...
     def __ipow__(self, other): ...
     @property  # type: ignore[misc]
-    def imag(self): ...
+    def imag(self: _HasDTypeWithRealAndImag[object, _ScalarT], /) -> MaskedArray[_ShapeT_co, dtype[_ScalarT]]: ...
     get_imag: Any
     @property  # type: ignore[misc]
-    def real(self): ...
+    def real(self: _HasDTypeWithRealAndImag[_ScalarT, object], /) -> MaskedArray[_ShapeT_co, dtype[_ScalarT]]: ...
     get_real: Any
 
     # keep in sync with `np.ma.count`
@@ -804,9 +801,6 @@ class MaskedArray(ndarray[_ShapeT_co, _DTypeT_co]):
     T: Any
     transpose: Any
 
-    @property  # type: ignore[misc]
-    def mT(self): ...
-
     #
     def toflex(self) -> Incomplete: ...
     def torecords(self) -> Incomplete: ...
@@ -820,6 +814,12 @@ class MaskedArray(ndarray[_ShapeT_co, _DTypeT_co]):
     def __reduce__(self): ...
     def __deepcopy__(self, memo=...): ...
 
+    # Keep `dtype` at the bottom to avoid name conflicts with `np.dtype`
+    @property
+    def dtype(self) -> _DTypeT_co: ...
+    @dtype.setter
+    def dtype(self: MaskedArray[Any, _DTypeT], dtype: _DTypeT, /) -> None: ...
+
 class mvoid(MaskedArray[_ShapeT_co, _DTypeT_co]):
     def __new__(
         self,  # pyright: ignore[reportSelfClsParameterName]
 
@@ -17,6 +17,7 @@ AR_dt64: NDArray[np.datetime64]
 AR_td64: NDArray[np.timedelta64]
 AR_o: NDArray[np.timedelta64]
 
+MAR_c16: MaskedArray[np.complex128]
 MAR_b: MaskedArray[np.bool]
 MAR_f4: MaskedArray[np.float32]
 MAR_f8: MaskedArray[np.float64]
@@ -309,6 +310,13 @@ def func(x: object) -> None:
     else:
         assert_type(x, object)
 
+assert_type(MAR_2d_f4.mT, np.ma.MaskedArray[tuple[int, int], np.dtype[np.float32]])
+
+assert_type(MAR_c16.real, MaskedArray[np.float64])
+assert_type(MAR_c16.imag, MaskedArray[np.float64])
+
+assert_type(MAR_2d_f4.baseclass, type[NDArray[Any]])
+
 assert_type(MAR_b.swapaxes(0, 1), MaskedArray[np.bool])
 assert_type(MAR_2d_f4.swapaxes(1, 0), MaskedArray[np.float32])