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",
)