Matplotlib styles — ArviZ dev documentation (original) (raw)

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API Documentation: N/A

Matplotlib

import matplotlib.pyplot as plt import numpy as np from scipy import stats

import arviz as az

x = np.linspace(0, 1, 100) dist = stats.beta(2, 5).pdf(x)

style_list = [ "default", ["default", "arviz-colors"], "arviz-darkgrid", "arviz-whitegrid", "arviz-white", "arviz-grayscale", ["arviz-white", "arviz-redish"], ["arviz-white", "arviz-bluish"], ["arviz-white", "arviz-orangish"], ["arviz-white", "arviz-brownish"], ["arviz-white", "arviz-purplish"], ["arviz-white", "arviz-cyanish"], ["arviz-white", "arviz-greenish"], ["arviz-white", "arviz-royish"], ["arviz-white", "arviz-viridish"], ["arviz-white", "arviz-plasmish"], "arviz-doc", "arviz-docgrid", ]

fig = plt.figure(figsize=(20, 10), layout="constrained") for idx, style in enumerate(style_list): with az.style.context(style, after_reset=True): ax = fig.add_subplot(5, 4, idx + 1, label=idx) colors = plt.rcParams["axes.prop_cycle"].by_key()["color"] for i in range(len(colors)): ax.plot(x, dist - i, f"C{i}", label=f"C{i}") ax.set_title(style) ax.set_ylabel("f(x)", rotation=0, labelpad=15) ax.set_xticklabels([])

plt.show()