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# How to get the positions of top n values from a numpy array?

# How to get the positions of top n values from a numpy array?

This recipe helps you get the positions of top n values from a numpy array

How to get the positions of top n values from a numpy array? So we can achieve this by using the "argpartition" so the syntax for the same is as follows:

np.argpartition(arr,-n)[-n:]where, arr - array that we are going to take n - the desired number of indices.

```
import numpy as np
```

```
Sample_array = np.array([1,3,5,7,9])
n = 3
print("This is the original array:",Sample_array)
```

This is the original array: [1 3 5 7 9]

```
sorted_index = np.argsort(Sample_array)
sorted_values = Sample_array[sorted_index]
print("The sorted array is:", sorted_values)
```

The sorted array is: [1 3 5 7 9]

```
print("The top values are:",sorted_values[-n:])
```

The top values are: [5 7 9]

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