Python | Pandas Index.sort_values()

Last Updated : 18 Dec, 2018

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandas Index.sort_values() function is used to sort the index values. The function return a sorted copy of the index. Apart from sorting the numerical values, the function can also sort string type values.

Syntax: Index.sort_values(return_indexer=False, ascending=True)

Parameters :
return_indexer : Should the indices that would sort the index be returned.
ascending : Should the index values be sorted in an ascending order.

Returns : Sorted copy of the index.
sorted_index : pandas.Index

indexer : numpy.ndarray, optional
The indices that the index itself was sorted by.

Example #1: Use Index.sort_values() function to sort the values present in the index.

   # importing pandas as pd 
import pandas as pd 
  
# Creating the index  
idx = pd.Index(['Beagle', 'Pug', 'Labrador', 
             'Sephard', 'Mastiff', 'Husky']) 
  
# Print the index 
idx 
 
  

Output :

Now we will sort the index labels in the ascending order.

   # Sorting the index labels 
idx.sort_values(ascending = True)

Output :

As we can see in the output, the function has returned an index with its labels sorted.

Example #2: Use Index.sort_values() function to sort the index labels in the descending order.

   # importing pandas as pd 
import pandas as pd 
  
# Creating the index  
idx = pd.Index([22, 14, 8, 56, 27, 21, 51, 23]) 
  
# Print the index 
idx 
 
  

Output :

Now we will sort the index labels in non-increasing order.

   # sort the values in descending order 
idx.sort_values(ascending = False)

Output :

As we can see in the output, the function has returned a new index with its labels sorted in decreasing order.

Python | Pandas Index.strides

Shubham__Ranjan

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