numpy.ma.clump_unmasked(a)

numpy.ma.flatnotmasked_contiguous(a)

numpy.ma.harden_mask(self) = Force the mask to hard. Whether the mask of a masked array is hard or soft is determined

numpy.ma.is_masked(x)

masked_array.mask Mask

numpy.ma.swapaxes(self, *args, **params) a.swapaxes(axis1, axis2) = Return a view of the array with axis1 and axis2

numpy.ma.any(self, axis=None, out=None) = Check if any of the elements of a are true. Performs a logical_or over

numpy.ma.shape(obj)

numpy.ma.fix_invalid(a, mask=False, copy=True, fill_value=None)

numpy.ma.dot(a, b, strict=False, out=None)