Perform the following Arithmetic Operations using Numpy Array. array1 = np.array([[1, 2, 3], [4, 5, 6]]) array2 = np.array([[7, 8, 9], [10, 11, 12]]). Data science using Python in Anaconda - Jupyter

 Question

1. array1 + array2

2. array1 - array2

3. array1 * array2

4. array2 / array1

5. array1 ** array2

Program: -

import numpy as np

array1 = np.array([[1, 2, 3], [4, 5, 6]])

array2 = np.array([[7, 8, 9], [10, 11, 12]])

print("Orignal Array 1:- \n",array1,"\n")

print("Orignal Array 2:- \n",array2,"\n")

print("Add :- \n",np.add(array1,array2))

print("Subtract :- \n",np.subtract(array1,array2))

print("Divison :- \n",np.divide(array1,array2))

print("Multiply :- \n",np.multiply(array1,array2))

print("Power :- \n",np.power(array1,array2))

Output: -

Orignal Array 1:- [[1 2 3] [4 5 6]] Orignal Array 2:- [[ 7 8 9] [10 11 12]] Add :- [[ 8 10 12] [14 16 18]] Subtract :- [[-6 -6 -6] [-6 -6 -6]] Divison :- [[0.14285714 0.25 0.33333333] [0.4 0.45454545 0.5 ]] Multiply :- [[ 7 16 27] [40 55 72]] Power :- [[ 1 256 19683] [ 1048576 48828125 -2118184960]]