Pandas Series Argsort Method

PandasPandasBeginner
Practice Now

Introduction

The Pandas Series argsort() method is used to return the indices that would sort the values of a Series in ascending order. This lab will guide you through the steps to use the argsort() method.

VM Tips

After the VM startup is done, click the top left corner to switch to the Notebook tab to access Jupyter Notebook for practice.

Sometimes, you may need to wait a few seconds for Jupyter Notebook to finish loading. The validation of operations cannot be automated because of limitations in Jupyter Notebook.

If you face issues during learning, feel free to ask Labby. Provide feedback after the session, and we will promptly resolve the problem for you.

Import the necessary libraries

First, import the pandas library using the import statement.

import pandas as pd

Create a Series

Next, create a Series using the pd.Series() function. This Series will contain some values that need to be sorted.

s = pd.Series([2, 1, 4, 3])

Apply the argsort() method

Apply the argsort() method on the Series created in the previous step to get the indices of the sorted values.

sorted_indices = s.argsort()

Print the sorted indices

Print the sorted indices to see the result.

print(sorted_indices)

Summary

In this lab, you have learned how to use the Pandas Series argsort() method to get the indices that would sort the values of a Series. By applying this method, you can easily obtain the sorted indices of your Series objects.

Other Pandas Tutorials you may like