Pandas DataFrame MultiLevel Index and Column | Optimize Data Processing

This video uses a couple of examples to show how the pandas DataFrame index (including multi-level index and columns) can be helpful in optimizing your data processing. Also, this video features the two following functions to create DataFrame with multi-level index. - pd.MultiIndex.from_product() - pd.MultiIndex.from_arrays() To access the code and data use this GitHub Repository: https://github.com/royjafari/DataFrame-multilevel-index-columns Chapters 0:00 Video Introduction 1:55 Overview of Sample Data 4:29 Pandas DataFrame Structure 7:23 .loc[] vs .iloc[] 10:37 Example with .loc[] 13:34 Examples with swaplevel() 19:27 Examples with groupby - swaplevel() - stack()/unstack() 23:17 Example of creating multi_level index 32:54 Video summary