numpy-set-ops

What problem does it solve?

This Skill provides efficient ways to perform set-theoretic operations on NumPy arrays, such as finding unique elements, checking for membership, and calculating intersections and differences.

Core Features & Use Cases

• Deduplication: Identify and remove duplicate rows or elements from arrays.
• Membership Testing: Quickly check if elements from one array exist within another.
• Set Comparisons: Compute unions, intersections, and differences between arrays.
• Use Case: When processing large datasets, you can use this Skill to quickly find all unique customer IDs or to filter out entries that already exist in a master list.

Quick Start

Use the numpy-set-ops skill to find the unique rows in the provided 2D array.