Python | Pandas Index.argsort()
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.argsort()
function returns the integer indices that would sort the index. By default the sorting order has been set to increasing order.
Syntax: Index.argsort(*args, **kwargs)
Parameters :
*args : Passed to numpy.ndarray.argsort
**kwargs : Passed to numpy.ndarray.argsortReturns : numpy.ndarray
Integer indices that would sort the index if used as an indexer
Example #1: Use Index.argsort()
function to find the order of indices which would sort the given Index.
# importing pandas as pd import pandas as pd # Creating the Index df = pd.Index([ 17 , 69 , 33 , 5 , 10 , 74 , 10 , 5 ]) # Print the Index df |
Output :
Let’s find the ordering of the indices which would sort the Index.
# to find the ordering of indices # that would sort the df Index df.argsort() |
Output :
As we can see in the output, the function has returned the ordering of the indices which would sort the given Index. We can verify that by printing the Index based on the ordering.
# Printing the Index based on the # result of the argsort() function df[df.argsort()] |
Output :
As we can see in the output, it is printed in a sorted order.
Example #2: Use Index.argsort()
function to find the order of indices which would sort the given Index.
# importing pandas as pd import pandas as pd # Creating the Index df = pd.Index([ 'Sam' , 'Alex' , 'Olivia' , 'Dan' , 'Brook' , 'Katherine' ]) # Print the Index df |
Output :
Let’s find the ordering of the indices which would sort the Index.
# to find the ordering of indices # that would sort the df Index df.argsort() |
Output :
As we can see in the output, the function has returned the ordering of the indices which would sort the given Index. We can verify that by printing the Index based on the ordering.
# Printing the Index based on the # result of the argsort() function df[df.argsort()] |
Output :
As we can see in the output, it is printed in a sorted order.
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