NumPy: Get the values and indices of the elements that are bigger than 10 in a given array

Last update on December 21 2024 07:38:28 (UTC/GMT +8 hours)

Elements >10 & Their Indices

Write a NumPy program to get the values and indices of the elements that are bigger than 10 in a given array.

Pictorial Presentation:

Sample Solution:

Python Code:

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

# Creating a NumPy array
x = np.array([[0, 10, 20], [20, 30, 40]])

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

# Filtering and displaying values in the array that are greater than 10
print("Values bigger than 10 =", x[x > 10])

# Displaying indices of elements that are greater than 10 using np.nonzero()
print("Their indices are ", np.nonzero(x > 10))

Sample Output:

Original array:                                                        
[[ 0 10 20]                                                            
 [20 30 40]]                                                           
Values bigger than 10 = [20 20 30 40]                                  
Their indices are  (array([0, 1, 1, 1]), array([2, 0, 1, 2]))

Explanation:

In the above code –

x = np.array([[0, 10, 20], [20, 30, 40]]): x is a 2D NumPy array with two rows and three columns.

print("Values bigger than 10 =", x[x>10]): This line prints the extracted values that are greater than 10.

print("Their indices are ", np.nonzero(x > 10)): This line prints the indices of the values greater than 10 in the array x.

Python-Numpy Code Editor: