**NumPy** is an open-source Python library used for working
with arrays. In 2005, Travis Oliphant created NumPy.
To import NumPy, we use the function:

`import numpy`   or  
`import numpy as np`

# How to rank items in an array using NumPy  
To rank items in NumPy, we can use a special method called `numpy.argsort()`.
In the **`numpy.argsort()` method**, indices are used to sort arrays in NumPy. 



# Code

In the example below, the NumPy array is ranked using the `argsort()` method. 




import numpy as np

array = np.array([1,28,14,25,9,3])

temp = array.argsort()

ranks = np.empty_like(temp)

ranks[temp] = np.arange(len(array))
print(array)
print(ranks)

Code

The `ranks[temp] = np.arange(len(array))` function is used to rank every element in the array. `np.array()` is used to create our array.


import numpy as np

array = np.array([2,6,5,3,8])

temp = array.argsort()

ranks = np.empty_like(temp)

ranks[temp] = np.arange(len(array))
print(array)
print(ranks)

code

How to rank items in an array using NumPy

Rank items in a NumPy array using numpy.argsort() with indices to sort and np.arange() to rank elements.