Split Ratio

Imports

import hist
import numpy as np
from hist import Hist

import mplhep as mh

np.random.seed(42)

Setup

# Generate dummy data
x1 = np.r_[np.random.normal(0.4, 0.1, 5000), np.random.normal(0.7, 0.1, 5000)]
x2 = np.r_[np.random.normal(0.4, 0.1, 1000), np.random.normal(0.7, 0.11, 7000)]

# Create and fill histograms
h1 = Hist(hist.axis.Regular(50, 0, 1), storage=hist.storage.Weight())  # Long interface
h2 = hist.new.Regular(50, 0, 1).Weight()  # Shorthand interface
h1.fill(x1)
h2.fill(x2)

Code

###
fig, ax_main, ax_comparison = mh.comp.hists(
    h1,
    h2,
    xlabel="Variable",
    ylabel="Entries",
    h1_label=r"$h_1$",
    h2_label=r"$h_2$",
    comparison="split_ratio",
)

Full code

import hist
import numpy as np
from hist import Hist

import mplhep as mh

np.random.seed(42)

# Generate dummy data
x1 = np.r_[np.random.normal(0.4, 0.1, 5000), np.random.normal(0.7, 0.1, 5000)]
x2 = np.r_[np.random.normal(0.4, 0.1, 1000), np.random.normal(0.7, 0.11, 7000)]

# Create and fill histograms
h1 = Hist(hist.axis.Regular(50, 0, 1), storage=hist.storage.Weight())  # Long interface
h2 = hist.new.Regular(50, 0, 1).Weight()  # Shorthand interface
h1.fill(x1)
h2.fill(x2)

###
fig, ax_main, ax_comparison = mh.comp.hists(
    h1,
    h2,
    xlabel="Variable",
    ylabel="Entries",
    h1_label=r"$h_1$",
    h2_label=r"$h_2$",
    comparison="split_ratio",
)