ATLAS Plots

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⚠️ I am no longer actively maintaining ATLAS Plots. If you find a bug, please feel free to open an issue or a pull request and I will get to it as soon as I can. Thank you for your continued interest!

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ATLAS Plots provides a simple interface to produce plots in ROOT following the standard ATLAS style guidelines. It uses matplotlib-like syntax and idioms while still giving access to the underlying ROOT objects.

Behold, the simplicity of ATLAS Plots:

import atlasplots as aplt

aplt.set_atlas_style()

fig, ax = aplt.subplots(1, 1)
ax.set_xlabel("X [GeV]")
ax.set_ylabel("Events")
ax.set_xlim(0, 100)
ax.set_ylim(0, 10)

fig.savefig("figure.png")

Compare with the equivalent PyROOT code:

import ROOT
import atlasplots as aplt

aplt.set_atlas_style()

canv = ROOT.TCanvas("canv", "", 800, 600)
frame = ROOT.TH1F("frame", "", 1, 0, 1)
frame.GetXaxis().SetTitle("X [GeV]")
frame.GetYaxis().SetTitle("Events")
frame.GetXaxis().SetLimits(0, 100)
frame.GetYaxis().SetLimits(0, 10)
frame.Draw("AXIS")

canv.SaveAs("figure.png")

Installing

$ pip install atlasplots

You can also install in editable mode if you need a quick-and-dirty way to make changes to the source code:

$ git clone <project-url>
$ cd atlas-plots
$ pip install [--user] -e .

Examples

For those who learn by example

Several examples of more complex plots, such as histogram fits, ratio and fit-residual panels, Data/MC plots, etc., are available under the examples/ directory.

Documentation

The ATLAS Plots documentation is available at https://atlas-plots.readthedocs.io.