import numpy as np
a = np.array([[0, 1, 3], [5, 7, 9]])
b = np.array([[0, 2, 4], [6, 8, 10]])
c = np.concatenate((a, b), axis=0)
print(c)
Output :
[[ 0 1 3]
[ 5 7 9]
[ 0 2 4]
[ 6 8 10]]let arr1 = [0, 1, 2];
let arr2 = [3, 5, 7];
let primes = arr1.concat(arr2);
// > [0, 1, 2, 3, 5, 7]let arr1 = [0, 1, 2];
let arr2 = [3, 4, 5];
// Append all items from arr2 onto arr1
arr1 = arr1.concat(arr2);#// required library
import numpy as npy
#// define 3 (1D) numpy arrays
arr1 = npy.array([10, 20, 30])
arr2 = npy.array([40, 50, 60])
arr3 = npy.array([70, 80, 90])
arrCon = npy.concatenate([arr1, arr2, arr3])
print(arrCon)
#// concatenation can also happen with 2D arrays
arr1_2d = npy.array([
[10, 20, 30],
[40, 50, 60]
])
arr2_2d = npy.array([
[11, 22, 33],
[44, 55, 66]
])
arr_2dCon = npy.concatenate([arr1_2d, arr2_2d])
print(arr_2dCon)let arr1 = [0, 1, 2];
let arr2 = [3, 4, 5];
arr1 = [...arr1, ...arr2];
// arr1 is now [0, 1, 2, 3, 4, 5]
// Note: Not to use const otherwise, it will give TypeError (invalid assignment)