hist

What problem does it solve?

Building, filling, slicing, and plotting histograms for Python-based high-energy physics analysis with correct axis configuration and storage choices can be verbose and error-prone.

Core Features & Use Cases

• Create histograms using Hist.new with axis builders Reg, Var, and StrCat, and finish with a single storage (Int64 or Weight) to manage counts or weights.
• Fill histograms with named axes, read counts with view, slice and project with UHI indexing, and produce publication-ready plots using mplhep styling.
• Save figures to files for reporting and collaboration, following standard matplotlib conventions.

Quick Start

Create a histogram with Hist.new, define axes with Reg/Var/StrCat, finish with a single Int64 or Weight storage, then fill using h.fill and plot with hist.plot or mplhep plotting helpers.