AI engineering glossary · NumPy pandas visualization
What is method chaining?
Method chaining (also called chaining): A style of writing pandas code in which each method returns a new table that is immediately passed to the next method, forming one readable pipeline. It avoids many temporary variables and makes the sequence of cleaning steps easy to follow.
Method chaining: an example
df.dropna().query('age > 18').assign(bmi=lambda d: d.w / d.h**2).sort_values('bmi') filters and derives a column in one expression.
Related terms
More NumPy pandas visualization terms
Where you learn it
Method chaining is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.