Spec-Zone.ru › Matplotlib
matplotlib.patches.RegularPolygon class matplotlib.patches. RegularPolygon ( xy , numVertices , * , radius = 5 , orientation = 0 , ** kwargs ) [source]
Bases: Patch
Правильный многоугольный патч.
Параметры:
xy (float, float)
Центральная позиция.
numVertices int
Количество вершин.
radius float
Расстояние от центра до каждой из вершин.
orientation float
Угол поворота многоугольника (в радианах).
**kwargs
Patch свойства:
get_patch_transform ( ) [source]
Возвращает экземпляр Transform , отображающий координаты патча в координаты данных.
Например, можно определить патч круга, представляющий радиус 5, предоставив координаты для единичного круга и преобразование, масштабирующее координаты (координаты патча) на 5.
get_path ( ) [source]
Возвращает путь этого патча.
set ( * , agg_filter=<UNSET> , alpha=<UNSET> , animated=<UNSET> , antialiased=<UNSET> , capstyle=<UNSET> , clip_box=<UNSET> , clip_on=<UNSET> , clip_path=<UNSET> , color=<UNSET> , edgecolor=<UNSET> , facecolor=<UNSET> , fill=<UNSET> , gid=<UNSET> , hatch=<UNSET> , in_layout=<UNSET> , joinstyle=<UNSET> , label=<UNSET> , linestyle=<UNSET> , linewidth=<UNSET> , mouseover=<UNSET> , path_effects=<UNSET> , picker=<UNSET> , rasterized=<UNSET> , sketch_params=<UNSET> , snap=<UNSET> , transform=<UNSET> , url=<UNSET> , visible=<UNSET> , zorder=<UNSET> ) [source]
Установить несколько свойств сразу.
Поддерживаемые свойства:
Примеры использования matplotlib.patches.RegularPolygon <img alt="" loading="lazy" 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</img>