Родительские оси, из которых будет украден/изменён размер для новых осей полосы цветов. Если задан список осей, все они будут изменены, чтобы освободить место для осей полосы цветов.
use_gridspecbool, optional
Если cax является None, новая cax создаётся как экземпляр осей. Если ax является экземпляром Subplot и use_gridspec является True, cax создаётся как экземпляр Subplot с использованием модуля gridspec.
Дополнительные ключевые аргументы бывают двух типов:
свойства осей:
fractionfloat, default: 0.15
Доля исходных осей, используемых для полосы цветов.
shrinkfloat, default: 1.0
Доля, на которую нужно умножить размер полосы цветов.
aspectfloat, default: 20
Соотношение длинных и коротких размеров.
padfloat, default: 0.05 if vertical, 0.15 if horizontal
Доля исходных осей между полосой цветов и новыми осями изображения.
anchor(float, float), optional
Точка привязки осей полосы цветов. По умолчанию (0.0, 0.5), если вертикально; (0.5, 1.0), если горизонтально.
panchor(float, float), or False, optional
Точка привязки родительских осей полосы цветов. Если False, точка привязки родительских осей останется неизменной. По умолчанию (1.0, 0.5), если вертикально; (0.5, 0.0), если горизонтально.
свойства полосы цветов:
Свойство
Описание
extend
{'ничего', 'оба', 'мин', 'макс'} Если не 'ничего', создайте заостренные концы для значений вне диапазона. Эти значения устанавливаются для заданной цветовой карты с помощью методов colormap set_under и set_over.
extendfrac
{None, 'авто', длина, длины} Если установлено в None, минимальное и максимальное треугольные расширения полосы цветов будут иметь длину 5% от длины внутренней полосы цветов (это значение по умолчанию). Если установлено в 'авто', делает треугольные расширения полосы цветов такими же, как внутренние ящики (когда spacing установлено в 'равномерно') или такими же, как соответствующие соседние внутренние ящики (когда spacing установлено в 'пропорционально'). Если скаляр, указывает длину минимального и максимального треугольных расширений полосы цветов как долю от длины внутренней полосы цветов. Также может быть задана последовательность из двух элементов, указывающая длину минимального и максимального расширений полосы цветов как долю от длины внутренней полосы цветов.
extendrect
bool Если False, минимальные и максимальные расширения полосы цветов будут треугольными (по умолчанию). Если True, расширения будут прямоугольными.
spacing
{'равномерно', 'пропорционально'} Равномерное распределение дает каждому дискретному цвету одинаковое место; пропорциональное делает расстояние пропорциональным интервалу данных.
ticks
None или список меток или Locator Если None, метки определяются автоматически из ввода.
format
None или str или Formatter Если None, используется ScalarFormatter. Если задана строка форматирования, например '%.3f', она используется. Вместо этого может быть задан другой Formatter.
drawedges
bool Рисовать ли линии на границах цветов.
label
str Подпись по длинной оси полосы цветов.
Следующее, вероятно, будет полезно только в контексте индексированных цветов (то есть, когда mappable имеет norm=NoNorm()), или других необычных обстоятельствах.
Свойство
Описание
boundaries
None или последовательность
values
None или последовательность, которая должна быть на 1 меньше, чем последовательность boundaries. Для каждого региона, ограниченного соседними записями в boundaries, будет использоваться цвет, сопоставленный соответствующему значению в значениях.
Если mappable является ContourSet, его extend kwarg включается автоматически.
Аргумент shrink предоставляет простой способ масштабирования полосы цветов по отношению к осям. Обратите внимание, что если cax указан, он определяет размер полосы цветов, и аргументы shrink и aspect игнорируются.
Для более точного управления вы можете вручную указать расположение объектов осей, в которых нарисованы mappable и полоса цветов. В этом случае не используйте ни один из аргументов axes properties.
Известно, что некоторые просмотрщики векторной графики (svg и pdf) отображают белые промежутки между сегментами полосы цветов. Это связано с ошибками в просмотрщиках, а не с Matplotlib. В качестве обходного решения полоса цветов может быть отображена с перекрывающимися сегментами:
Однако это имеет негативные последствия в других обстоятельствах, например, с полупрозрачными изображениями (alpha < 1) и расширениями полосы цветов; поэтому этот обходной путь не используется по умолчанию (см. вопрос #1188).
<img alt="Панель управления цветом" 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
<img alt="Создание цветовой карты из списка цветов" src="data:image/png;base64,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
<img alt="Руководство по изображениям" src="data:image/png;base64,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