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# How to find the most frequent value in an array using numpy

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

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

```
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.

```
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.

```
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.

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

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