Several samples, normalised, with a ratio panel

A {label: file} mapping gives one histogram per sample with a binning shared by all. An integer bins infers the range from every sample at once, cutting the thin end of the tail. normalize=True scales each to unit area and ratio=True adds a panel with every sample divided by the first, uncertainties propagated.

DefaultATLASCMSLHCbALICEDUNE

import rootfig as rf

style = rf.Style()

rf.plot(
    {"Signal": "signal.root", "Z + jets": "background.root"},
    "Muon_pt",
    tree="events",
    selection="Muon_isTight and abs(Muon_eta) < 2.5",
    weight="weight",
    bins=40,
    unit="GeV",
    normalize=True,
    ratio=True,
    style=style,
)

import rootfig as rf

style = rf.Style(experiment="ATLAS", status="Internal", lumi=140, com=13.6)

rf.plot(
    {"Signal": "signal.root", "Z + jets": "background.root"},
    "Muon_pt",
    tree="events",
    selection="Muon_isTight and abs(Muon_eta) < 2.5",
    weight="weight",
    bins=40,
    unit="GeV",
    normalize=True,
    ratio=True,
    style=style,
)

import rootfig as rf

style = rf.Style(experiment="CMS", status="Preliminary", lumi=138, com=13.6)

rf.plot(
    {"Signal": "signal.root", "Z + jets": "background.root"},
    "Muon_pt",
    tree="events",
    selection="Muon_isTight and abs(Muon_eta) < 2.5",
    weight="weight",
    bins=40,
    unit="GeV",
    normalize=True,
    ratio=True,
    style=style,
)

import rootfig as rf

style = rf.Style(experiment="LHCb", status="Preliminary", lumi=9, com=13.6)

rf.plot(
    {"Signal": "signal.root", "Z + jets": "background.root"},
    "Muon_pt",
    tree="events",
    selection="Muon_isTight and abs(Muon_eta) < 2.5",
    weight="weight",
    bins=40,
    unit="GeV",
    normalize=True,
    ratio=True,
    style=style,
)

import rootfig as rf

style = rf.Style(experiment="ALICE", status="Preliminary")

rf.plot(
    {"Signal": "signal.root", "Z + jets": "background.root"},
    "Muon_pt",
    tree="events",
    selection="Muon_isTight and abs(Muon_eta) < 2.5",
    weight="weight",
    bins=40,
    unit="GeV",
    normalize=True,
    ratio=True,
    style=style,
)

import rootfig as rf

style = rf.Style(experiment="DUNE", status="Preliminary")

rf.plot(
    {"Signal": "signal.root", "Z + jets": "background.root"},
    "Muon_pt",
    tree="events",
    selection="Muon_isTight and abs(Muon_eta) < 2.5",
    weight="weight",
    bins=40,
    unit="GeV",
    normalize=True,
    ratio=True,
    style=style,
)

Setup

The code reads the toy dataset. In a checkout of rootfig, python examples/gallery writes it to examples/out/ in a few seconds; run the code inside that directory.