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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