How to rank items in an array using numpy?
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# How to rank items in an array using numpy?

This recipe helps you rank items in an array using numpy

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## Recipe Objective

How to rank items in an array using numpy? This is possible by using "empty_like" and "argsort" functions available in the numpy library.

## Step 1 - Import library

``` import numpy as np ```

## Step 2 - Take a Sample array

``` Sample_array = np.array([1,4,8,7,10,11,6,2]) print("This is the original array:",Sample_array) ```
`This is the original array: [ 1  4  8  7 10 11  6  2]`

## Step 2 - Sort the array

``` Sorted_array = Sample_array.argsort() ```

## Step 3 - Print the Ranks

``` array_ranks = np.empty_like(Sorted_array) array_ranks[Sorted_array] = np.arange(len(Sample_array)) print("This is the original Sample array:", Sample_array, "\n") print("This is the Sorted array:", Sample_array[Sorted_array], "\n") print("This is the rank of element present in the array:", array_ranks) ```
```This is the original Sample array: [ 1  4  8  7 10 11  6  2]

This is the Sorted array: [ 1  2  4  6  7  8 10 11]

This is the rank of element present in the array: [0 2 5 4 6 7 3 1]```

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