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How to find index of max value in Numpy?

Posted on April 14, 2021March 10, 2022 By Pythoneo

Let’s learn how to find the numpy index of the max value in Python. We will use the argmax function.
Numpy index of max value

How to use numpy index of max?

You may need to find the index of the max value in the Numpy array. There is an argmax function that helps you find that index.

See also  How to Generate Sequence Arrays in Python with Numpy arange

Argmax function scans the whole array and finds the first instance of the max value. It returns the findex of the first value.

import numpy as np

my_list = np.array([5, 7, 8, 3, 2, 8])
print(f"This is my array: \n {my_list}")

max_value = my_list.argmax()
print(f"Index of max value: \n {max_value}")

As you may see, there are two occurrences of 8, but argmax returned the index of the first one.

See also  What are the max and min values of integer in Python?
numpy Tags:array, index, max

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