По умолчанию Matplotlib поддерживает вышеупомянутые масштабы. Кроме того, пользовательские масштабы могут быть зарегистрированы с помощью matplotlib.scale.register_scale. Эти масштабы затем также могут быть использованы здесь.
Примеры использования matplotlib.axes.Axes.set_yscale
<img alt="Настройка элементов графиков в ящиках с усами" 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