numpy.ma.masked_array.setasflat

masked_array.setasflat(arr)

Equivalent to a.flat = arr.flat, but is generally more efficient. This function does not check for overlap, so if arr and a are viewing the same data with different strides, the results will be unpredictable.

Parameters :

arr : array_like

The array to copy into a.

Examples

>>> a = np.arange(2*4).reshape(2,4)[:,:-1]; a
array([[0, 1, 2],
       [4, 5, 6]])
>>> b = np.arange(3*3, dtype='f4').reshape(3,3).T[::-1,:-1]; b
array([[ 2.,  5.],
       [ 1.,  4.],
       [ 0.,  3.]], dtype=float32)
>>> a.setasflat(b)
>>> a
array([[2, 5, 1],
       [4, 0, 3]])