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Pandas MultiIndex

Create and query hierarchical row and column index levels.

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Hierarchical indexing (MultiIndex) allows you to store and manipulate data with an arbitrary number of dimensions in 2D DataFrame structures.

Key Takeaways: Pandas MultiIndex

Mastering Pandas MultiIndex helps you write clean and reliable Pandas code. Follow standard conventions, test edge cases, and keep logic simple. Try running the code example below and complete the exercises to build confidence.

Pandas MultiIndex Code Example

Pandas 
import pandas as pd

arrays = [["Tech", "Tech", "Finance"], ["Dev", "QA", "Analyst"]]
index = pd.MultiIndex.from_arrays(arrays, names=("Sector", "Role"))
df = pd.DataFrame({"Count": [12, 4, 7]}, index=index)
print(df.loc["Tech"])
Output
Count
Role          
Dev         12
QA           4
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