mindspore.numpy.hstack

mindspore.numpy.hstack(tup)[source]

Stacks tensors in sequence horizontally. This is equivalent to concatenation along the second axis, except for 1-D tensors where it concatenates along the first axis.

Parameters: tup (Union[Tensor, tuple, list]) – A sequence of 1-D or 2-D tensors. The tensors must have the same shape along all but the second axis, except 1-D tensors which can be any length.
Returns: Stacked Tensor, formed by stacking the given tensors.

Supported Platforms:: Ascend GPU CPU

Raises

TypeError – If tup is not Tensor, list or tuple.
ValueError – If tup is empty.

Examples

>>> import mindspore.numpy as np
>>> x1 = np.array([1, 2, 3]).astype('float32')
>>> x2 = np.array([4, 5, 6]).astype('float32')
>>> output = np.hstack((x1, x2))
>>> print(output)
[1. 2. 3. 4. 5. 6.]