Perform the following Element-wise Mathematical Operations using Numpy Array. array1 = np.array([[10, 20, 30], [40, 50, 60]]) array2 = np.array([[2, 3, 4], [4, 6, 8]]) array3 = np.array([[-2, 3.5, -4], [4.05, -6, 8]]). Data science using Python in Anaconda - Jupyter

Question

1. Addition of array1 and array2

2. Multiplication of array1 and array2

3. Power of array1 and array2

Program: -

import numpy as np
array2 = np.array([[2, 3, 4], [4, 6, 8]])
array3 = np.array([[-2, 3.5, -4], [4.05, -6, 8]])

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

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

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

print("Orignal Array 2:- \n",array3,"\n")

add=array1+array2+array3

mul=array1*array2*array3

powr=array1**array2**array3

print("Add :- \n",add)

print("Multiplication :- \n",mul)

print("Power :- \n",powr)

Output: -

Orignal Array 1:- 
 [[10 20 30]
 [40 50 60]] 

Orignal Array 2:- 
 [[2 3 4]
 [4 6 8]] 

Orignal Array 2:- 
 [[-2.    3.5  -4.  ]
 [ 4.05 -6.    8.  ]] 

Add :- 
 [[10.   26.5  30.  ]
 [48.05 50.   76.  ]]
Multiplication :- 
 [[  -40.   210.  -480.]
 [  648. -1800.  3840.]]
Power :- 
 [[1.77827941e+00 6.96869530e+60 1.01337458e+00]
 [           inf 1.00008385e+00            inf]]