NumPy: Get true division of the element-wise array inputs

Last update on December 21 2024 07:39:15 (UTC/GMT +8 hours)

Write a NumPy program to get true division of the element-wise array inputs.

Sample Solution:

Python Code:

# Importing the NumPy library
import numpy as np

# Creating an array from 0 to 9
x = np.arange(10)

# Displaying the original array
print("Original array:")
print(x)

# Performing element-wise division of the array by 3 using true_divide function
print("Division of the array inputs, element-wise:")
print(np.true_divide(x, 3)) 

Sample Output:

Original array:                                                        
[0 1 2 3 4 5 6 7 8 9]                                                  
Division of the array inputs, element-wise:                            
[ 0.          0.33333333  0.66666667  1.          1.33333333  1.6666666
7                                                                      
  2.          2.33333333  2.66666667  3.        ]

Explanation:

In the above exercise -

x = np.arange(10): This line creates an array of integers from 0 to 9 using np.arange(10).

np.true_divide(x, 3): This line performs element-wise true division of x by 3.

The output of this code will be a NumPy array where each element is the corresponding element from x divided by 3, and the result is a floating-point number. So, the output will be an array of decimal values.

Python-Numpy Code Editor: