mindspore.numpy.column_stack

mindspore.numpy.column_stack(tup)[source]

Stacks 1-D tensors as columns into a 2-D tensor. 2-D tensors are stacked as-is, like np.hstack.

Parameters: tup (Union[Tensor, tuple, list]) – A sequence of 1-D or 2-D tensors. All of them must have the same shape except the axis to be concatenated.
Returns: 2-D 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('int32')
>>> x2 = np.array([4, 5, 6]).astype('int32')
>>> output = np.column_stack((x1, x2))
>>> print(output)
[[1 4]
 [2 5]
 [3 6]]