NumPy: Find the maximum and minimum value of a given flattened array

Last update on April 29 2025 13:01:22 (UTC/GMT +8 hours)

1. Maximum and Minimum of Flattened Array

Write a Python program to find the maximum and minimum value of a given flattened array.

Sample Solution:

Python Code:

# Importing the NumPy library
import numpy as np

# Creating a 2x2 array 'a' using arange and reshape
a = np.arange(4).reshape((2, 2))

# Displaying the original flattened array 'a'
print("Original flattened array:")
print(a)

# Finding and displaying the maximum value of the flattened array 'a' using np.amax()
print("Maximum value of the above flattened array:")
print(np.amax(a))

# Finding and displaying the minimum value of the flattened array 'a' using np.amin()
print("Minimum value of the above flattened array:")
print(np.amin(a))

Sample Output:

Original flattened array:
[[0 1]
 [2 3]]
Maximum value of the above flattened array:
3
Minimum value of the above flattened array:
0

Explanation:

In the above exercise –

a = np.arange(4).reshape((2,2)): This line creates a 2D array of shape (2, 2) using the np.arange function and then reshape it to the desired shape using the reshape method.

np.amax(a): This code returns the maximum value of the entire array, which is 3.

np.amin(a): This code returns the minimum value of the entire array, which is 0.

For more Practice: Solve these Related Problems:

Create a function that flattens any multidimensional array and returns both the maximum and minimum values using vectorized operations.
Implement an algorithm that computes the maximum and minimum of a flattened array by first sorting it and then selecting the first and last elements.
Design a solution that finds the max and min values without using np.max or np.min by leveraging np.reduce or np.accumulate.
Develop a program that flattens an array and returns the difference between its maximum and minimum values.

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