Contents
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.