Dark theme

Simple gaussian fit to histogram data with a dark theme.

Gaussian
χ²: 72.75 / 80 dof
amplitude: 10094±30
mu: -0.0066±0.0030
sigma: 0.9999±0.0021 (min=0.0)

import numpy as np

from aptapy.hist import Histogram1d
from aptapy.models import Gaussian
from aptapy.plotting import plt, stylesheet_context

# Note we use a context manager to apply the dark theme only within this block.
# You can also apply the stylesheet globally using apply_stylesheet("aptapy-dark").
with stylesheet_context("aptapy-dark"):

    hist = Histogram1d(np.linspace(-5., 5., 100), label="Random data", xlabel="z")
    hist.fill(np.random.default_rng().normal(size=100000))
    hist.plot(statistics=True)

    model = Gaussian()
    model.fit(hist)
    print(model)
    # Plot the model, including the fit output in the legend.
    model.plot(fit_output=True)

    plt.legend()