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# Finding the most frequent value in a NumPy array

schedule Aug 12, 2023
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local_offer
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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:

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

To find the most frequent value:

``` a = np.array([1,2,2,2,3,3])freq = np.bincount(a)np.argmax(freq) 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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