Transposing Pivot Tables: A Step-by-Step Guide Using Python's Pandas Library

Understanding and Handling NaN Values in Groupby Operations with Pandas

Working with Lagged Data in Pandas: A Practical Guide to Time Series Analysis

Understanding Pearsonr Correlation and Data Alignment for Accurate Financial Analysis

Understanding Customer Billing Dates and Contract Termination: A Step-by-Step Guide with Python Solution

Understanding Qcut and Accessing Labels: A Comprehensive Guide to Quantile Binning in Python

Correctly Calculating Time Differences with Pandas: A Step-by-Step Guide

Counting Sequential Entries in a Column While Grouping by Another Column in Python

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

How to Create Synthetic Timestamps with pandas and Format them in Desired Ways