Pandas Series Argmin Method

PandasPandasBeginner
Practice Now

Introduction

The argmin() method in the Pandas library is used to find the position of the smallest value in a Series. It returns the index of the first occurrence of the smallest value.

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.

Create a Series

First, let's create a Series to work with. We will create two Series, s1 and s2, with different values.

import pandas as pd

s1 = pd.Series([45, 10, 78, 22])
s2 = pd.Series([45, 14, 11, 11])

Find the Position of the Smallest Value

Now, let's find the position of the smallest value in each Series using the argmin() method.

position_s1 = s1.argmin()
position_s2 = s2.argmin()

Print the Results

Finally, let's print the positions of the smallest values in the Series.

print("In Series s1, the minimum value is at position:", position_s1)
print("In Series s2, the minimum value is at position:", position_s2)

Summary

In this lab, we learned how to use the argmin() method in Pandas to find the position of the smallest value in a Series. By following the provided steps, you can easily apply this method in your own code. Remember to import the necessary libraries and create the Series to work with. Then, use the argmin() method to find the position of the smallest value, and finally, print the results. This method can be helpful when analyzing data and searching for specific values in a Series.

Other Pandas Tutorials you may like