Stack 1-D tensors as columns into a 2-D tensor.
Take a sequence of 1-D tensors and stack them as columns to make a single 2-D tensor. 2-D tensors are stacked as-is, just like with hstack. 1-D tensors are turned into 2-D columns first.
tup (sequence of 1-D or 2-D tensors.) – Tensors to stack. All of them must have the same first dimension.
stacked – The tensor formed by stacking the given tensors.
- Return type
>>> import mars.tensor as mt
>>> a = mt.array((1,2,3)) >>> b = mt.array((2,3,4)) >>> mt.column_stack((a,b)).execute() array([[1, 2], [2, 3], [3, 4]])