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.argsort Returns : 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. Python3

# 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. Python3 1==

# 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. Python3 1==

# 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. Python3

# 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. Python3 1==

# 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. Python3 1==

# 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.