nums.numpy.column_stack

nums.numpy.column_stack(tup)[source]

Stack 1-D arrays as columns into a 2-D array.

This docstring was copied from numpy.column_stack.

Some inconsistencies with the NumS version may exist.

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 – The array formed by stacking the given arrays.
Return type: 2-D array

See also

stack, hstack, vstack, concatenate

Examples

The doctests shown below are copied from NumPy. They won’t show the correct result until you operate get().

>>> a = nps.array((1,2,3))  
>>> b = nps.array((2,3,4))  
>>> nps.column_stack((a,b)).get()  
array([[1, 2],
       [2, 3],
       [3, 4]])

nums.numpy.row_stack

nums.numpy.arange