NumPy: Multiply the values ​​of two given vectors

NumPy: Basic Exercise-24 with Solution

Write a NumPy program to multiply the values ​​of two given vectors.

This problem entails writing a NumPy program to perform element-wise multiplication of two given vectors. The task involves leveraging NumPy's array manipulation capabilities to multiply the corresponding elements from each vector efficiently, resulting in a new vector containing the products of their values.

Sample Solution :

Python Code :

# Importing the NumPy library with an alias 'np'
import numpy as np

# Creating a NumPy array 'x' containing elements 1, 8, 3, and 5
x = np.array([1, 8, 3, 5])

# Printing a message indicating Vector-1 and displaying the array 'x'
print("Vector-1")
print(x)

# Generating a NumPy array 'y' containing 4 random integers between 0 and 10 using np.random.randint()
y = np.random.randint(0, 11, 4)

# Printing a message indicating Vector-2 and displaying the array 'y'
print("Vector-2")
print(y)

# Performing element-wise multiplication between arrays 'x' and 'y' and storing the result in the 'result' variable
result = x * y

# Printing a message indicating the multiplication of the values of the two said vectors and displaying the result
print("Multiply the values of two said vectors:")
print(result) 

Output:

Vector-1
[1 8 3 5]
Vector-2
[1 6 4 6]
Multiply the values of two said vectors:
[ 1 48 12 30]                         

Explanation:

In the above code -

np.array([1, 8, 3, 5]) creates a NumPy array 'x' with the specified elements [1, 8, 3, 5].

np.random.randint(0, 11, 4) creates a NumPy array 'y' of 4 random integers between 0 (inclusive) and 11 (exclusive).

x * y performs element-wise multiplication between the arrays 'x' and 'y'. The corresponding elements of 'x' and 'y' are multiplied together, resulting in a new array 'result' with the same shape as the input arrays.

Python-Numpy Code Editor:

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