Spec-Zone.ru › Matplotlib 3.3

matplotlib.pyplot.fill

matplotlib.pyplot.fill(*args, data=None, **kwargs) [source]

Заполнение многоугольников.

Параметры:
*argssequence of x, y, [color]

Каждый многоугольник определяется списками координат x и y узлов, за которыми необязательно следует указание цвета. См. matplotlib.colors для поддерживаемых спецификаций цвета. Для многоугольников без указания цвета используется стандартная циклическая смена цветов.

Можно построить несколько многоугольников, предоставив несколько групп x, y, [цвет].

Например, каждое из следующих выражений является корректным:

ax.fill(x, y)                    # a polygon with default color
ax.fill(x, y, "b")               # a blue polygon
ax.fill(x, y, x2, y2)            # two polygons
ax.fill(x, y, "b", x2, y2, "r")  # a blue and a red polygon
dataindexable object, optional

Объект с метками данных. Если он предоставлен, укажите имена меток для построения по x и y, например:

ax.fill("time", "signal",
        data={"time": [0, 1, 2], "signal": [0, 1, 0]})
Возвращаемое значение:
list of Polygon
Другие параметры:
**kwargsPolygon properties

Примечания

Используйте fill_between(), если хотите заполнить область между двумя кривыми.

Примеры использования matplotlib.pyplot.fill

Заполненный многоугольник

Заполненный многоугольник

Интерактивные функции

Интерактивные функции

<img alt="Заполнение спирали" 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

Заполнение спирали

Примеры графиков в Matplotlib

Примеры графиков в Matplotlib

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Spec-Zone .ru
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