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# Finding the most frequent value in a NumPy array

NumPy

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*schedule*Jul 1, 2022

local_offer Python●NumPy

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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.

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Published by Arthur Yanagisawa

Edited by 0 others

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