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mpl_toolkits.axisartist.grid_finder.ExtremeFinderSimple

class mpl_toolkits.axisartist.grid_finder.ExtremeFinderSimple(nx, ny)[source]

Bases: object

Класс-помощник для определения диапазона линий сетки, которые нужно отобразить.

Параметры:
nx, nyint

Количество выборок в каждом направлении.

__call__(transform_xy, x1, y1, x2, y2)[source]

Вычисляет приблизительную границу ограничивающей рамки, полученной путем применения transform_xy к прямоугольнику, ограниченному (x1, y1, x2, y2).

Предполагается, что (x1, y1, x2, y2) заданы в координатах оси, а transform_xy — преобразование из координат оси в координаты данных; этот метод затем возвращает диапазон координат данных, охватывающих реальную ось.

Вычисление выполняется путем выборки nx * ny равномерно распределенных точек в прямоугольнике (x1, y1, x2, y2) и поиска получившихся точек с экстремальными координатами; затем добавляется некоторый отступ для учета конечной выборки.

Так как каждый шаг выборки охватывает относительный диапазон 1/nx или 1/ny, отступ вычисляется путем расширения диапазона, покрываемого экстремальными координатами, на эти дроби.

__dict__ = mappingproxy({'__module__': 'mpl_toolkits.axisartist.grid_finder', '__doc__': '\n Класс-помощник для определения диапазона линий сетки, которые нужно отобразить.\n ', '__init__': <function ExtremeFinderSimple.__init__>, '__call__': <function ExtremeFinderSimple.__call__>, '_add_pad': <function ExtremeFinderSimple._add_pad>, '__dict__': <attribute '__dict__' of 'ExtremeFinderSimple' objects>, '__weakref__': <attribute '__weakref__' of 'ExtremeFinderSimple' objects>, '__annotations__': {}})
__init__(nx, ny)[source]
Параметры:
nx, nyint

Количество выборок в каждом направлении.

__module__ = 'mpl_toolkits.axisartist.grid_finder'
__weakref__

Список слабых ссылок на объект (если определён).

Примеры использования mpl_toolkits.axisartist.grid_finder.ExtremeFinderSimple

Демонстрация направления оси

Демонстрация направления оси

<img alt="Демонстрация криволинейной сетки" 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

Демонстрация криволинейной сетки

Демонстрация криволинейной сетки 2

Демонстрация криволинейной сетки 2

Демонстрация плавающей оси

Демонстрация плавающей оси

Простой обвод рамки оси

Простой обвод рамки оси

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Spec-Zone.ru

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Spec-Zone .ru
спецификации, руководства, описания, API