Find Largest Value in a numpy Array with python

In this article we show 2 ways to find the largest value in a numpy array

Example 1

In this example we use the numpy max function that returns the largest or maximum value in an array

import numpy as np
myarray = np.array([5, 32, 17, 56, 98, 23, 36, 33, 45, 92])
print("Array Items = ", myarray)
print("The Largest Number in the Array = ", max(myarray))

Run this and you will see the following

>>> %Run numpyarraylargest1.py
Array Items =  [ 5 32 17 56 98 23 36 33 45 92]
The Largest Number in the Array =  98

Example 2

In this example we use the numpy sort function to sort the array in ascending order and then display this

import numpy as np
myarray = np.array([5, 32, 17, 56, 98, 23, 36, 33, 45, 92])
print("Array Items = ", myarray)
myarray.sort()
arraylength = len(myarray) - 1
print("The Largest Number is = ", myarray[arraylength])

If you run this you should see something like this

>>> %Run numpyarraylargest2.py
Array Items =  [ 5 32 17 56 98 23 36 33 45 92]
The Largest Number is =  98

Link

The examples can be found in the following github repository

https://github.com/programmershelp/maxpython/upload/main/numpy

The examples are numpyarraylargest1 and numpyarraylargest2