How to Add Multiple Columns to a Pandas DataFrame Without Using Apply

To answer your question, the code you've posted is actually creating a table of values in Python using pandas library and then printing this table.

Resolving Rolling Functionality Limitations in Pandas: Workarounds for Handling Series with Non-Standard Step Size

Optimizing Performance When Reading Large CSV Data in R and Python

Mastering the Apply Method in Pandas DataFrames: Workarounds for Empty DataFrames and Performance Optimization

Pythonic Solution for Extracting Last N Characters of Column and Replacing with Longer Versions in Same Column

Understanding pandas to_sql Errors: A Deep Dive into Column Name Issues

Cleaning a DataFrame Column by Replacing Units with Five Zeros for Decimal Values and Six Zeros for No Decimals.

Applying Functions on Columns of a Pandas DataFrame: A Step-by-Step Guide

Understanding the Difference Between `df.loc[:, reversed(colnames)]` and `df.loc[:, list(reversed(colnames))]`