Perform the following Scalar Arithmetic Operations using Numpy Array. array1 = np.array([[10, 20, 30], [40, 50, 60]]). Data science using Python in Anaconda - Jupyter

 Question

1. array1 + 2

2. array1 – 5

3. array1 * 2

4. array1 / 5

5. array1 ** 2

Program: -

import numpy as np

array1 = np.array([[10, 20, 30], [40, 50, 60]])

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

print("Adding by 2 :- \n",array1+2)

print("Subtracting by 5 :- \n",array1-5)

print("Multiply  by 2:- \n",array1*2)

print("Dividing by 5 :- \n",array1/5)

print("Power by 2 :- \n",array1**2)

Output: -

Orignal Array 1:- [[10 20 30] [40 50 60]] Adding by 2 :- [[12 22 32] [42 52 62]] Subtracting by 5 :- [[ 5 15 25] [35 45 55]] Multiply by 2:- [[ 20 40 60] [ 80 100 120]] Dividing by 5 :- [[ 2. 4. 6.] [ 8. 10. 12.]] Power by 2 :- [[ 100 400 900] [1600 2500 3600]]