Documentation Documentation Getting Started

DataFrame Basics

Selection & Filtering

Filtering Data Membership, Range & Top-N Sorting Data Label-based Indexing (Loc)Position-based Indexing (iLoc)

Cleaning & Types

Computation & Aggregation

Reshaping & Combining

Text, Time & Categorical

Selection & Filtering

Subset, sort, and index DataFrame rows by value, predicate, label, or position

Select and order the rows you care about.

Transforming Columns

Transform DataFrame values element-wise, remap values, and derive new columns row-wise

Filtering Data

Subset DataFrame rows by comparison or predicate using chainable, error-deferred filters