import numpy as np
from jutility import plotting

scores_list = [
    [69.0, 68.0, 137.0],
    [54.1, 68.1, 122.2],
    [48.7, 68.1, 116.8],
    [28.7, 72.0, 100.7],
    [44.7, 54.1, 98.8],
    [34.1, 57.0, 91.1],
    [33.8, 54.1, 87.9],
    [34.2, 45.1, 79.3],
    [29.7, 39.1, 68.8],
    [54.4, 12.1, 66.5],
    [49.2, 12.1, 61.3],
    [29.0, 30.1, 59.1],
    [24.7, 24.0, 48.7],
    [34.3, 12.0, 46.3],
    [34.0, 12.0, 46.0],
    [19.6, 24.0, 43.6],
    [24.0, 12.1, 36.1],
    [18.9, 12.0, 30.9],
    [9.4, 14.0, 23.4],
    [9.4, 7.1, 16.5],
]
scores = np.array(scores_list)

titles = ["Boulder", "Lead", "Total"]
ranges = [102, 102, 202]
mp = plotting.MultiPlot(
    *[
        plotting.Subplot(
            plotting.Hist(scores[:, i], np.arange(r)),
            title=t,
        )
        for i, (t, r) in enumerate(zip(titles, ranges))
    ],
    title="Men's Olympic sport climbing semifinal",
    top_space=0.2,
    figsize=[15, 4],
    num_rows=1,
)
mp.save("combined")