Optimizing Performance with Pandas.groupby.nth() Using NumPy, Pandas, and Numba

Converting Incomplete Lists into Data Frames with Melt Transformation in R

Resampling Data Over Customized Time Windows in Pandas

Connecting Dataframes: A Deep Dive into Index Alignment and Boolean Series

Transforming Data from Long Format to Wide Format Using Pandas Pivot Tables

Writing Data to an Excel File Using pandas: Best Practices and Advanced Tips

Conditional Removal of Rows from a DataFrame in R Using subset() Function

Reordering Timestamps in Multiple Columns into a Single Column Using Python: Advanced Techniques for Data Manipulation and Analysis

Here's an example code that demonstrates how to use the `groupby` and `agg` functions together:

Replicating and Shifting a Pandas DataFrame: A Step-by-Step Guide