Using Classes to Improve Readability and Efficiency with Pandas

Vectorizing Information Extraction from a DataFrame: Optimized Techniques for Large Datasets

Computing Percent Change for Each Group in a Pandas DataFrame Using GroupBy and PctChange

Handling Infinity Values in Python Pandas: A Deep Dive

Performing Rolling Window Operations on Irregular Series with Float Indexes Using Pandas and SciPy

Understanding NetworkX's from_pandas_dataframe Error in Older Versions

Optimizing Data Frame Operations with Koalas: Handling Different Data Types

Using atexit() to Export Pandas Dataframe to CSV on App Exit: Understanding the Issue with Printing Rows in DataFrame

Here's a refactored version of the code with proper indentation, comments, and a clear structure:

Working with Dates and Files in Python Using Pandas: A Step-by-Step Guide to Formatting Dates with the datetime Module