Da Apply Custom Functions — Free Data Analytics Tutorial
Learn Da Apply Custom Functions in Data Analytics with a free, beginner-friendly tutorial, examples and practice for Indian students on Syllab.in.
TL;DR: Learn Da Apply Custom Functions 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 Apply Custom Functions in Data Analytics
Apply allows applying custom functions to DataFrame rows, columns, or elements.
axis=0 applies function to each column; axis=1 applies to each row.
Use lambda for inline functions or define named functions for complex logic.
Vectorized operations (NumPy) are faster than apply for large data.
Apply returns new Series or DataFrame without modifying original.
Da Apply Custom Functions — Syntax
# Apply to columns: df.apply(function, axis=0) # Apply to rows: df.apply(function, axis=1) # Apply to elements: df.applymap(function) [deprecated, use df.map in newer pandas]
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