*chevron_left*Cookbooks

Accessing a value in a 2D arrayAccessing columns of a 2D arrayAccessing rows of a 2D arrayCalculating the determinant of a matrixChecking allowed values for a NumPy data typeChecking if a NumPy array is a view or copyChecking the version of NumPyChecking whether a NumPy array contains a given rowComputing Euclidean distance using NumpyConcatenating 1D arraysConverting array to lowercaseConverting type of NumPy array to stringCreating a copy of an arrayDifference between Python List and Numpy arrayDifference between the methods array_equal and array_equivDifference between the methods mod and fmodDifference between the methods power and float_powerFinding the closest value in an arrayFinding the Index of Largest Value in a Numpy ArrayFinding the Index of Smallest Value in a Numpy ArrayFinding the most frequent value in a NumPy arrayFlattening Numpy arraysGetting constant PiGetting elements from a two dimensional array using two dimensional array of indicesGetting indices of N maximum valuesGetting indices of N minimum valuesGetting the number of columns of a 2D arrayGetting the number of non-zero elements in a NumPy arrayGetting the number of rows of a 2D arrayInitializing an array of onesInitializing an array of zerosInitializing an identity matrixLimiting array values to a certain rangePerforming linear regressionPrinting full or truncated NumPy arrayPrinting large Numpy arrays without truncationRemoving rows containing NaN in a NumPy arrayReversing a NumPy arraySaving NumPy array to a fileShape of Numpy ArraysSorting value of one array according to anotherSuppressing scientific notation

0

0

0

new

# Finding the most frequent value in a NumPy array

Programming

*chevron_right*

Python

*chevron_right*

NumPy

*chevron_right*

Cookbooks

*schedule*Mar 10, 2022

Python●NumPy

Tags *toc*Table of Contents

*expand_more*

To find the most frequent value in a NumPy array we can use the `bincount(~)`

method together with `argmax(~)`

.

# Example

Consider the following array:

```
array([1, 2, 2, 2, 3, 3])
```

To find the most frequent value:

```
2
```

Note here that:

`bincounts(~)`

returns an array with the number of occurrences of each number in the range 0 ~ largest number in the array`argmax(~)`

then allows us to find the index position of the value with the most occurrences as counted by`bincount(~)`

, which is just the most frequent number itself

WARNING

This method will only work when we are dealing with an array containing non-negative integers as `bincounts(~)`

will raise a `ValueError`

if it encounters negative values.

Published by Arthur Yanagisawa

Edited by 0 others

Did you find this page useful?

Ask a question or leave a feedback...