# Introduction In this lab, you will learn how to use the `DataFrame.rank()` method in Pandas to assign ranks to the data in a DataFrame. The `rank()` method provides a numerical rank from 1 to n along the specified axis, which can be either the index or column axis. This allows you to determine the ranking of values in a DataFrame based on a particular column. ## 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.
Click the virtual machine below to start practicing