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-rw-r--r--numpy/ma/core.py15
1 files changed, 14 insertions, 1 deletions
diff --git a/numpy/ma/core.py b/numpy/ma/core.py
index b76ff8ea9..795e79e00 100644
--- a/numpy/ma/core.py
+++ b/numpy/ma/core.py
@@ -2870,7 +2870,13 @@ class MaskedArray(ndarray):
_data._mask = _data._mask.copy()
# Reset the shape of the original mask
if getmask(data) is not nomask:
- data._mask.shape = data.shape
+ # gh-21022 encounters an issue here
+ # because data._mask.shape is not writeable, but
+ # the op was also pointless in that case, because
+ # the shapes were the same, so we can at least
+ # avoid that path
+ if data._mask.shape != data.shape:
+ data._mask.shape = data.shape
else:
# Case 2. : With a mask in input.
# If mask is boolean, create an array of True or False
@@ -6300,6 +6306,13 @@ class MaskedArray(ndarray):
memo[id(self)] = copied
for (k, v) in self.__dict__.items():
copied.__dict__[k] = deepcopy(v, memo)
+ # as clearly documented for np.copy(), you need to use
+ # deepcopy() directly for arrays of object type that may
+ # contain compound types--you cannot depend on normal
+ # copy semantics to do the right thing here
+ if self.dtype.type is np.object_:
+ for idx, _ in enumerate(copied):
+ copied[idx] = deepcopy(copied[idx])
return copied