Merge remote-tracking branch 'origin/main' into main

1 files changed, 8 insertions, 4 deletions

diff --git a/numpy/ma/core.py b/numpy/ma/core.py
index e3c6bc611..152d17965 100644
--- a/numpy/ma/core.py
+++ b/numpy/ma/core.py
@@ -5488,7 +5488,8 @@ class MaskedArray(ndarray):
         filled = self.filled(fill_value)
         return filled.argsort(axis=axis, kind=kind, order=order)
 
-    def argmin(self, axis=None, fill_value=None, out=None):
+    def argmin(self, axis=None, fill_value=None, out=None, *,
+                keepdims=np._NoValue):
         """
         Return array of indices to the minimum values along the given axis.
 
@@ -5531,9 +5532,11 @@ class MaskedArray(ndarray):
         if fill_value is None:
             fill_value = minimum_fill_value(self)
         d = self.filled(fill_value).view(ndarray)
-        return d.argmin(axis, out=out)
+        keepdims = False if keepdims is np._NoValue else bool(keepdims)
+        return d.argmin(axis, out=out, keepdims=keepdims)
 
-    def argmax(self, axis=None, fill_value=None, out=None):
+    def argmax(self, axis=None, fill_value=None, out=None, *,
+                keepdims=np._NoValue):
         """
         Returns array of indices of the maximum values along the given axis.
         Masked values are treated as if they had the value fill_value.
@@ -5568,7 +5571,8 @@ class MaskedArray(ndarray):
         if fill_value is None:
             fill_value = maximum_fill_value(self._data)
         d = self.filled(fill_value).view(ndarray)
-        return d.argmax(axis, out=out)
+        keepdims = False if keepdims is np._NoValue else bool(keepdims)
+        return d.argmax(axis, out=out, keepdims=keepdims)
 
     def sort(self, axis=-1, kind=None, order=None,
              endwith=True, fill_value=None):