C achai ’s Second Module: Chernoff Faces to Face Them All

We introduce M ichinoff Faces, the second module of Custom Axes and CHarts Advanced Interface (C achai ), a customizable visualization toolkit for P ython . Inspired by Chernoff faces, Michinoff Faces provides a cat-like approach to multivariate data visualization, encoding up to 15 variables through customizable facial features and positioning. Built on top of M atplotlib , it supports both dataset-based visualization, enabling automatic mapping of tabular data onto grids of faces, and individual-face construction with explicit parameter control. While broadly applicable across scientific disciplines, we showcase its use in astronomy by representing the stellar population properties of three groups identified in the T-GEX project, illustrating how facial features can reveal multivariate relationships. C achai is available via pip ( https://pypi.org/project/cachai ), with detailed documentation and examples provided at Read the Docs https://cachai.readthedocs.io .