numpy.column_stack() in Python
Last Updated : 06 Jan, 2019
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numpy.column_stack()function is used to stack 1-D arrays as columns into a 2-D array.It takes 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 function.Syntax : numpy.column_stack(tup) Parameters : tup : [sequence of ndarrays] Tuple containing arrays to be stacked. The arrays must have the same first dimension. Return : [stacked 2-D array] The stacked 2-D array of the input arrays.Code #1 :
# Python program explaining
# column_stack() function
import numpy as geek
# input array
in_arr1 = geek.array(( 1, 2, 3 ))
print ("1st Input array : \n", in_arr1)
in_arr2 = geek.array(( 4, 5, 6 ))
print ("2nd Input array : \n", in_arr2)
# Stacking the two arrays
out_arr = geek.column_stack((in_arr1, in_arr2))
print ("Output stacked array:\n ", out_arr)
Output:
Code #2 :1st Input array : [1 2 3] 2nd Input array : [4 5 6] Output stacked array: [[1 4] [2 5] [3 6]]
# Python program explaining
# column_stack() function
import numpy as geek
# input array
in_arr1 = geek.array([[ 1, 2, 3], [ -1, -2, -3]] )
print ("1st Input array : \n", in_arr1)
in_arr2 = geek.array([[ 4, 5, 6], [ -4, -5, -6]] )
print ("2nd Input array : \n", in_arr2)
# Stacking the two arrays
out_arr = geek.column_stack((in_arr1, in_arr2))
print ("Output stacked array :\n ", out_arr)
Output:
1st Input array : [[ 1 2 3] [-1 -2 -3]] 2nd Input array : [[ 4 5 6] [-4 -5 -6]] Output stacked array : [[ 1 2 3 4 5 6] [-1 -2 -3 -4 -5 -6]]
