flopscope.numpy.column_stack
fnp.column_stack(tup)[flopscope source][numpy source]
Stack 1-D arrays as columns into a 2-D array.
Adapted from NumPy docs np.column_stack
Cost
0
Flopscope Context
Stack 1-D arrays as columns into 2-D array.
Take a sequence of 1-D arrays and stack them as columns to make a single 2-D array. 2-D arrays are stacked as-is, just like with hstack. 1-D arrays are turned into 2-D columns first.
Parameters
- tup:sequence of 1-D or 2-D arrays.
Arrays to stack. All of them must have the same first dimension.
Returns
- stacked:2-D array
The array formed by stacking the given arrays.
See also
Examples
>>> import flopscope.numpy as fnp
>>> a = flops.array((1,2,3))
>>> b = flops.array((2,3,4))
>>> flops.column_stack((a,b))
array([[1, 2],
[2, 3],
[3, 4]])