Spec-Zone.ru › Matplotlib 3.8
matplotlib.axes.Axes.loglog Axes. loglog ( * args , ** kwargs ) [source]
Построить график с логарифмической шкалой по обеим осям.
Варианты вызова:
loglog([x], y, [fmt], data=None, **kwargs)
loglog([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs)
Это всего лишь тонкий обертка вокруг plot , которая дополнительно меняет логарифмическую шкалу как по оси X, так и по оси Y. Все понятия и параметры plot также могут быть использованы здесь.
Дополнительные параметры base , subs и nonpositive управляют свойствами осей X/Y. Они просто передаются в Axes.set_xscale и Axes.set_yscale . Чтобы использовать разные свойства по осям X и Y, используйте, например, ax.set_xscale("log", base=10); ax.set_yscale("log", base=2).
Параметры:
base float, по умолчанию: 10
Основание логарифма.
subs последовательность, необязательно
Положение дополнительных делений. Если None , разумные значения автоматически выбираются в зависимости от количества десятичных разрядов на графике. См. Axes.set_xscale /Axes.set_yscale для подробностей.
nonpositive {'mask', 'clip'}, по умолчанию: 'clip'
Неположительные значения могут быть замаскированы как недопустимые или обрезаны до очень малого положительного числа.
**kwargs
Все параметры, поддерживаемые plot .
Возвращает:
список Line2D
Объекты, представляющие нарисованные данные.
Примеры использования matplotlib.axes.Axes.loglog
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