numpy.ma.masked_array.hardmask#
property
- property ma.masked_array.hardmask#
Specifies whether values can be unmasked through assignments.
By default, assigning definite values to masked array entries will unmask them. When
hardmask
isTrue
, the mask will not change through assignments.Examples
>>> x = np.arange(10) >>> m = np.ma.masked_array(x, x>5) >>> assert not m.hardmask
Since m has a soft mask, assigning an element value unmasks that element:
>>> m[8] = 42 >>> m masked_array(data=[0, 1, 2, 3, 4, 5, --, --, 42, --], mask=[False, False, False, False, False, False, True, True, False, True], fill_value=999999)
After hardening, the mask is not affected by assignments:
>>> hardened = np.ma.harden_mask(m) >>> assert m.hardmask and hardened is m >>> m[:] = 23 >>> m masked_array(data=[23, 23, 23, 23, 23, 23, --, --, 23, --], mask=[False, False, False, False, False, False, True, True, False, True], fill_value=999999)