Get Maximum Value in Array – Python Numpy

Contents

Introduction
Syntax
Examples
1. Maximum value of numpy array
2. Maximum value of numpy array with float values
Summary

Numpy – Maximum Value in Array

Given a numpy array, you can find the maximum value of all elements in the array.

To get the maximum value of a NumPy Array, you can use numpy.max() function.

Syntax

The syntax of max() function as given below.

max_value = numpy.max(arr)

Pass the numpy array as argument to numpy.max(), and this function shall return the maximum value.

Examples

1. Maximum value of numpy array

In this example, we will take a numpy array with random numbers and then find the maximum of the array using numpy.max() function.

Python Program

import numpy as np

arr = np.random.randint(10, size=(4,5))
print('array\n', arr)
#find maximum value
max_value = np.max(arr)
print('Maximum value in array\n',max_value)

Run

Output

 [[8 8 5 3 0]
 [2 0 4 5 1]
 [4 7 0 1 5]
 [5 2 1 5 8]]
Maximum value in array
 8

2. Maximum value of numpy array with float values

In the following example, we will take a numpy array with random float values and then find the maximum of the array using max() function.

Python Program

import numpy as np

arr = np.random.rand(6).reshape(2,3)
print('array\n', arr)
#find maximum value
max_value = np.max(arr)
print('Maximum value in array\n',max_value)

Run

Output

array
 [[0.45733784 0.70319461 0.65038256]
 [0.77489769 0.71777846 0.89612105]]
Maximum value in array
 0.8961210501172747

Summary

In this Numpy Tutorial of Python Examples, we learned how to find the maximum value in Numpy Array using numpy.max() function, with well detailed examples.