NumPy: Multiply the values of two given vectors
Multiply Two Vectors
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: