Пример #1
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def plot_amount_of_predictions_agglomerated(input):
    resolution, amplitude = map_data(input)
    y_ticks = get_y_ticks(amplitude, max_offset=10, y_zero=True, step_size=20)
    save_bar_plot(resolution, amplitude, "points_per_prediction", "amount_all",
                  y_ticks, "prediction", "amount of predictions")
Пример #2
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def plot_amount_of_predictions(input, title):
    resolution, amplitude = map_data(input)
    y_ticks = get_y_ticks(amplitude, max_offset=4, y_zero=True, step_size=5)
    save_bar_plot(resolution, amplitude, "points_per_prediction", title,
                  y_ticks, "prediction", "amount of predictions")
Пример #3
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def plot_close_calls(input):
    resolution, amplitude = map_data(input)
    y_ticks = get_y_ticks(amplitude, max_offset=1, y_zero=0)
    save_bar_plot(resolution, amplitude, "other", "close_calls", y_ticks,
                  "player", "amount of games",
                  min(amplitude) - 5, max(amplitude))
Пример #4
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def plot_missed_games(input):
    resolution, amplitude = map_data(input)
    y_ticks = get_y_ticks(amplitude, max_offset=1, y_zero=0)
    save_bar_plot(resolution, amplitude, "other", "missed_games", y_ticks,
                  "player", "amount of games")
Пример #5
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def plot_all_scores_per_team(input):
    resolution, amplitude = map_data(input)
    y_ticks = get_y_ticks(amplitude, max_offset=1)
    save_bar_plot(resolution, amplitude, "scores_per_team", "all_teams",
                  y_ticks)