Pandas Series | Argmin Function | Jupyter Notebook Tips

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.

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Skills Graph

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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.

Pandas Series Argmin Method