Spec-Zone.ru › Matplotlib 3.5

matplotlib.axes.Axes.set_yscale

Axes.set_yscale(value, **kwargs)[source]

Установить масштаб оси y.

Параметры
value{"линейный", "логарифмический", "симлогический", "логит", ...} или ScaleBase

Тип масштаба оси для применения.

**kwargs

Принимаются разные ключевые аргументы, в зависимости от масштаба. Смотрите соответствующие ключевые аргументы класса:

  • matplotlib.scale.LinearScale
  • matplotlib.scale.LogScale
  • matplotlib.scale.SymmetricalLogScale
  • matplotlib.scale.LogitScale
  • matplotlib.scale.FuncScale

Примечания

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

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Демонстрация маркера every
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Демонстрация Markevery

<img alt="Настройка элементов графиков в ящиках с усами" 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

Настройка элементов в диаграммах размаха

<img alt="Функция построения ящиковой диаграммы" 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

Функция отрисовки диаграммы размаха

Различные способы задания погрешностей

Различные способы задания погрешностей

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Логарифмический масштаб осей

Логарифмический масштаб осей

Столбчатая диаграмма с логарифмической осью

Столбчатая диаграмма с логарифмической осью

<img alt="Логарифмический пример" 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

Демонстрация логарифмической шкалы

Шкалы

Шкалы

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Демо symlog
END_OF_DOCUMENT_MARKER

Демонстрация symlog

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Spec-Zone .ru
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