dpnp.copyto

dpnp.copyto(dst, src, casting='same_kind', where=True)[source]

Copies values from one array to another, broadcasting as necessary.

Raises a TypeError if the casting rule is violated, and if where is provided, it selects which elements to copy.

For full documentation refer to numpy.copyto.

Parameters:

  • dst ({dpnp.ndarray, usm_ndarray}) -- The array into which values are copied.

  • src (array_like) -- The array from which values are copied.

  • casting ({'no', 'equiv', 'safe', 'same_kind', 'unsafe'}, optional) -- Controls what kind of data casting may occur when copying.

  • where ({dpnp.ndarray, usm_ndarray, scalar} of bool, optional) -- A boolean array or a scalar which is broadcasted to match the dimensions of dst, and selects elements to copy from src to dst wherever it contains the value True.

Examples

>>> import dpnp as np
>>> A = np.array([4, 5, 6])
>>> B = [1, 2, 3]
>>> np.copyto(A, B)
>>> A
array([1, 2, 3])

>>> A = np.array([[1, 2, 3], [4, 5, 6]])
>>> B = [[4, 5, 6], [7, 8, 9]]
>>> np.copyto(A, B)
>>> A
array([[4, 5, 6],
       [7, 8, 9]])