Numpy column_stack() function is used to stack 1-Dimensional array column-wise. And 2-Dimensional array is stacked similar to horizontal stacking(hstack()).
np.column_stack(tup)
You pass Numpy arrays in the form of list or tuple to column_stack() function.
import numpy as np
x = np.array([1, 2, 3, 4])
y = np.array([5, 6, 7, 8])
print('First array x:\n', x)
print('Second array y:\n', y)
print('Column stacked array:\n', np.column_stack((x,y)))
Output of the above program
First array x: [1 2 3 4] Second array y: [5 6 7 8] Column stacked array: [[1 5] [2 6] [3 7] [4 8]]
import numpy as np
x = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]])
y = np.array([[11, 12, 13, 14, 15], [16, 17, 18, 19, 20]])
print('First array x:\n', x)
print('Second array y:\n', y)
print('Column stacked array:\n', np.column_stack((x,y)))
Output of the above program
First array x: [[ 1 2 3 4 5] [ 6 7 8 9 10]] Second array y: [[11 12 13 14 15] [16 17 18 19 20]] Column stacked array: [[ 1 2 3 4 5 11 12 13 14 15] [ 6 7 8 9 10 16 17 18 19 20]]
