Da Melt Stack Unstack — Free Data Analytics Tutorial
Learn Da Melt Stack Unstack in Data Analytics with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
TL;DR: Learn Da Melt Stack Unstack 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 Melt Stack Unstack in Data Analytics
Melt converts wide data to long format: one column becomes index, rest become (variable, value) pairs.
Stack converts columns to rows (wide → long); unstack converts index to columns (long → wide).
Useful for preparing data for analysis or reshaping for visualization.
Melt with id_vars specifies which columns to keep as identifiers.
Unstack with level controls which index level to pivot.
Da Melt Stack Unstack — Syntax
# Melt: df.melt(id_vars=['id'], value_vars=['col1', 'col2'], var_name='variable', value_name='value') # Stack: df.stack() converts columns to index level # Unstack: df.unstack() converts index to columns
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