diff options
Diffstat (limited to 'numpy/ma/core.py')
-rw-r--r-- | numpy/ma/core.py | 20 |
1 files changed, 13 insertions, 7 deletions
diff --git a/numpy/ma/core.py b/numpy/ma/core.py index f6e445c2f..9cc1a1272 100644 --- a/numpy/ma/core.py +++ b/numpy/ma/core.py @@ -2758,13 +2758,19 @@ class MaskedArray(ndarray): _data._sharedmask = True else: # Case 2. : With a mask in input. - # Read the mask with the current mdtype - try: - mask = np.array(mask, copy=copy, dtype=mdtype) - # Or assume it's a sequence of bool/int - except TypeError: - mask = np.array([tuple([m] * len(mdtype)) for m in mask], - dtype=mdtype) + # If mask is boolean, create an array of True or False + if mask is True and mdtype == MaskType: + mask = np.ones(_data.shape, dtype=mdtype) + elif mask is False and mdtype == MaskType: + mask = np.zeros(_data.shape, dtype=mdtype) + else: + # Read the mask with the current mdtype + try: + mask = np.array(mask, copy=copy, dtype=mdtype) + # Or assume it's a sequence of bool/int + except TypeError: + mask = np.array([tuple([m] * len(mdtype)) for m in mask], + dtype=mdtype) # Make sure the mask and the data have the same shape if mask.shape != _data.shape: (nd, nm) = (_data.size, mask.size) |