dpnp.expand_dims

dpnp.expand_dims(x1, axis)

Expand the shape of an array.

Insert a new axis that will appear at the axis position in the expanded array shape.

For full documentation refer to numpy.expand_dims.

See also

dpnp.squeeze

The inverse operation, removing singleton dimensions

dpnp.reshape

Insert, remove, and combine dimensions, and resize existing ones

dpnp.indexing, dpnp.atleast_1d, dpnp.atleast_2d, dpnp.atleast_3d

Examples

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

The following is equivalent to x[np.newaxis, :] or x[np.newaxis]:

>>> y = np.expand_dims(x, axis=0)
>>> y
array([[1, 2]])
>>> y.shape
(1, 2)

The following is equivalent to x[:, np.newaxis]:

>>> y = np.expand_dims(x, axis=1)
>>> y
array([[1],
       [2]])
>>> y.shape
(2, 1)

axis may also be a tuple:

>>> y = np.expand_dims(x, axis=(0, 1))
>>> y
array([[[1, 2]]])

>>> y = np.expand_dims(x, axis=(2, 0))
>>> y
array([[[1],
        [2]]])

Note that some examples may use None instead of np.newaxis. These are the same objects:

>>> np.newaxis is None
True