ndarray.__setitem__

ndarray.__setitem__(self, key, value)

Sets self[key] to value.

This functions supports advanced indexing as defined in the NumPy advanced indexing documentation, with the restriction that boolean array indexing is not supported.

Parameters:

key : int, slice, list, np.ndarray, mx.np.ndarray, or tuple of all previous types

The indexing key.

value : scalar or array-like object that can be broadcast to the shape of self[key]

The value to set.

Examples

>>> x = np.zeros((2, 3))
>>> x[:] = 1
>>> x
array([[ 1.,  1.,  1.],
       [ 1.,  1.,  1.]])
>>> x[:, 1:2] = 2
>>> x
array([[ 1.,  2.,  1.],
       [ 1.,  2.,  1.]])
>>> x[1:2, 1:] = 3
>>> x
array([[ 1.,  2.,  1.],
       [ 1.,  3.,  3.]])
>>> x[1:, 0:2] = np.zeros((1, 2))
>>> x
array([[ 1.,  2.,  1.],
       [ 0.,  0.,  3.]])
>>> x[1, 2] = 4
>>> x
array([[ 1.,  2.,  1.],
       [ 0.,  0.,  4.]])
>>> x[[0], [1, 2]] = 5
>>> x
array([[ 1.,  5.,  5.],
       [ 0.,  0.,  4.]])
>>> x[::-1, 0:2:2] = [6]
>>> x
array([[ 6.,  5.,  5.],
       [ 6.,  0.,  4.]])