Da Multiindex Dataframes — Free Data Analytics Tutorial
Learn Da Multiindex Dataframes in Data Analytics with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
TL;DR: Learn Da Multiindex Dataframes in Data Analytics with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
Written & reviewed by the Syllab.in Academic Team (CBSE/NCERT subject experts) · Updated
Da Multiindex Dataframes in Data Analytics
MultiIndex (hierarchical indexing) allows multiple levels of row or column indices.
Useful for organizing data by multiple dimensions (e.g., country-city, year-month-day).
Create MultiIndex with pd.MultiIndex.from_tuples() or from_product().
Access data using .loc[('level1', 'level2'), 'column'] syntax.
Stack/unstack methods convert between long and wide formats with MultiIndex.
Da Multiindex Dataframes — Syntax
# Create MultiIndex DataFrame:
# df = pd.DataFrame(data, index=pd.MultiIndex.from_tuples([('A', 1), ('A', 2), ('B', 1)]))
#
# Access by level:
# df.loc['A'] returns all rows where level 0 = 'A'
# df.loc[('A', 2)] returns specific row
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