How do I use the MultiIndex in pandas?

One of the most powerful features in pandas is multi-level indexing (or "hierarchical indexing"), which allows you to add extra dimensions to your Series or DataFrame objects. But when should you use a MultiIndex, and how do you create, slice, and merge MultiIndexed objects?

In this video, I'll demonstrate:
How to create a Series with a MultiIndex, and how to convert it to a DataFrame
How to select from a Series with a MultiIndex
How to create a DataFrame with a MultiIndex
How to select from a DataFrame with a MultiIndex
How to merge two DataFrames with MultiIndexes

WANT TO JOIN MY NEXT WEBCAST? Become a member ($5/month):
  / dataschool  


=== RELATED RESOURCES ===

Download the lesson notebook: http://nbviewer.jupyter.org/github/ju...

Using the pandas index (Part 1):    • What do I need to know about the pand...  
Using the pandas index (Part 2):    • What do I need to know about the pand...  
Analyzing groups with groupby:    • When should I use a "groupby" in pandas?  
Selection and slicing with loc:    • How do I select multiple rows and col...  
My full pandas video series:    • Data analysis in Python with pandas  

DataCamp course on MultiIndex: https://www.datacamp.com/courses/mani...
DataCamp course on merging: https://www.datacamp.com/courses/merg...

Tidy data: http://r4ds.had.co.nz/tidy-data.html


== LET'S CONNECT! ==

Newsletter: https://www.dataschool.io/subscribe/
Twitter:   / justmarkham  
Facebook:   / datascienceschool  
LinkedIn:   / justmarkham