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hist - Histogram creation and manipulation with scikit-hep hist library

Work with scikit-hep hist library to create, fill, slice, and plot histograms (1D/2D/multi-axis)

Tags

Updated: 2026-02-13

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • create histogram objects
  • specify axis types
  • fill with data
  • apply weights
  • slice histograms
  • project dimensions
  • plot histograms
  • save figures
  • use mplhep styles

Inputs

  • Python environment
  • scikit-hep hist library
  • matplotlib
  • mplhep styles
  • data arrays
  • axis definitions
  • weight arrays

Outputs

  • Hist.Hist objects
  • histogram plots
  • sliced histograms
  • projected histograms
  • saved figure files
  • plot visualizations

Requirements

  • Python environment
  • scikit-hep hist library
  • matplotlib
  • mplhep
  • numpy
  • UHI indexing support
  • axis builder functions

Source

  • Spec: SKILL.md

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data-visualization
histogram
scientific-computing
python-library
plotting
analysis
create histogram objects
specify axis types
fill with data
apply weights
Python environment
scikit-hep hist library
matplotlib
Hist.Hist objects
histogram plots
sliced histograms