dpnp.array

dpnp.array(x1, dtype=None, copy=True, order='C', subok=False, ndmin=0, like=None, device=None, usm_type=None, sycl_queue=None)[source]

Creates an array.

For full documentation refer to numpy.array.

Limitations

Parameter subok is supported only with default value False. Parameter ndmin is supported only with default value 0. Parameter like is supported only with default value None.

See also

dpnp.empty_like: Return an empty array with shape and type of input.
dpnp.ones_like: Return an array of ones with shape and type of input.
dpnp.zeros_like: Return an array of zeros with shape and type of input.
dpnp.full_like: Return a new array with shape of input filled with value.
dpnp.empty: Return a new uninitialized array.
dpnp.ones: Return a new array setting values to one.
dpnp.zeros: Return a new array setting values to zero.
dpnp.full: Return a new array of given shape filled with value.

Examples

>>> import dpnp as np
>>> x = np.array([1, 2, 3])
>>> x.ndim, x.size, x.shape
(1, 3, (3,))
>>> print(x)
[1 2 3]

More than one dimension:

>>> x2 = np.array([[1, 2], [3, 4]])
>>> x2.ndim, x2.size, x2.shape
(2, 4, (2, 2))
>>> print(x2)
[[1 2]
 [3 4]]