Pandas DataFrame Lt Method

Introduction

In this lab, we will learn about the DataFrame.lt() method in the Python pandas library. This method is used to compare a DataFrame with another data structure element-wise using the less than (<) operator. It returns a DataFrame of boolean values indicating whether each element is less than the corresponding element in the other data structure.

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.

Skills Graph

Import the necessary libraries and create a DataFrame

import pandas as pd

## Create a DataFrame
df = pd.DataFrame({"A": [200, 500], "B": [60, 250], "C": [150, 1]})
print("--------The DataFrame is---------")
print(df)

Compare the DataFrame with a scalar value

## Compare the DataFrame with a scalar using lt() method
print("----After applying lt function-----")
print(df.lt(200))

Compare the DataFrame with a Series

## Create a Series
series = pd.Series([150, 200, 150])

## Compare the DataFrame with the Series using lt() method
print("----After applying lt function-----")
print(df.lt(series))

Compare the DataFrame with another DataFrame

## Create another DataFrame
df_2 = pd.DataFrame({"A": [200, 550], "B": [65, 251], "C": [100, 10]})

## Compare the two DataFrames using lt() method
print("----After applying lt function-----")
print(df.lt(df_2))

Summary

In this lab, we learned how to use the DataFrame.lt() method in the pandas library to compare a DataFrame with other data structures element-wise. This method helps us determine whether each element in the DataFrame is less than its corresponding element in the other data structure.