How to find the most frequent value in an array?

How to find the most frequent value in an array?

How to find the most frequent value in an array?

This recipe helps you find the most frequent value in an array


Recipe Objective

We do handle varies size of arrays. To perform statistical operation, numpy has predefined function to handle such problems.

So this recipe is a short example on how to find the most frequent values in an array. Let's get started.

Step 1 - Import the library

import numpy as np

Let's pause and look at these imports. Numpy is generally helpful in data manipulation while working with arrays. It also helps in performing mathematical operation.

Step 2 - Defining random array

a= np.array([0,1,2,3,1,2,1,1,1,3,2,2])

We have a random array having same values multiple times.

Step 3 - Finding mode of array

counts = np.bincount(a) print(np.argmax(counts))

We have firstly used bincount to count the number of times each element is present. Later using argmax, found the argument for which counts has maximum frequency.

Step 4 - Lets look at our dataset now

Once we run the above code snippet, we will see:


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