Plot climbing scores

plot_bouldering_scores.py

import numpy as np
from jutility import plotting

scores_list = [
    [25.0, 25.0, 24.9, 24.7, 99.6, ],
    [24.9, 24.9, 25.0, 9.7, 84.5, ],
    [24.4, 24.9, 9.8, 24.6, 83.7, ],
    [25.0, 24.9, 24.8, 4.9, 79.6, ],
    [9.8, 25.0, 9.8, 24.6, 69.2, ],
    [9.8, 10.0, 24.5, 24.5, 68.8, ],
    [24.8, 24.6, 10.0, 5.0, 64.4, ],
    [5.0, 24.5, 10.0, 24.5, 64.0, ],
    [4.8, 24.9, 9.4, 24.5, 63.6, ],
    [5.0, 24.7, 24.9, 5.0, 59.6, ],
    [0.0, 24.6, 4.7, 24.7, 54.0, ],
    [4.7, 24.7, 10.0, 9.9, 49.3, ],
    [5.0, 24.8, 9.7, 4.7, 44.2, ],
    [4.9, 24.8, 5.0, 4.8, 39.5, ],
    [4.8, 10.0, 10.0, 4.9, 29.7, ],
    [5.0, 9.7, 9.8, 4.7, 29.2, ],
    [4.6, 9.9, 9.7, 4.2, 28.4, ],
    [0.0, 4.4, 5.0, 3.8, 13.2, ],
    [0.0, 4.8, 5.0, 0.0, 9.8, ],
    [0.0, 0.0, 0.0, 0.0, 0.0],
]
scores = np.array(scores_list)

mp = plotting.MultiPlot(
    *[
        plotting.Subplot(
            plotting.Hist(scores[:, i], np.arange(27)),
            title="Boulder %i" % (i+1),
        )
        for i in range(4)
    ],
    title="Women's Olympic bouldering semifinal",
    top_space=0.15,
    figsize=[10, 6],
)
mp.save("boulders")

plotting.plot(
    plotting.Hist(scores[:, 4], np.arange(102)),
    plot_name="Women's Olympic bouldering semifinal overall scores",
)

plot_combined_scores.py

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")