Spec-Zone.ru › Matplotlib 3.4

matplotlib.axes.Axes.bxp

Axes.bxp(bxpstats, positions=None, widths=None, vert=True, patch_artist=False, shownotches=False, showmeans=False, showcaps=True, showbox=True, showfliers=True, boxprops=None, whiskerprops=None, flierprops=None, medianprops=None, capprops=None, meanprops=None, meanline=False, manage_ticks=True, zorder=None)[source]

Функция отрисовки диаграмм размаха и ящиков.

Создаёт диаграмму размаха и ящиков для каждого столбца в x или каждого вектора в последовательности x. Ящик отображает значения от нижнего до верхнего квартиля данных, с линией, обозначающей медиану. Усы ящика показывают диапазон данных. Точки-выбросы — это значения, выходящие за пределы усов.

Параметры:
bxpstatsсписок словарей

Список словарей, содержащих статистику для каждого ящика. Необходимые ключи:

  • med: Медиана (вещественное число).
  • q1: Первый квартиль (25-й процентиль) (вещественное число).
  • q3: Третий квартиль (75-й процентиль) (вещественное число).
  • whislo: Нижняя граница нижнего уса (вещественное число).
  • whishi: Верхняя граница верхнего уса (вещественное число).

Необязательные ключи:

  • mean: Среднее значение (вещественное число). Требуется, если showmeans=True.
  • fliers: Значения за пределами усов (последовательность вещественных чисел). Требуется, если showfliers=True.
  • cilo & cihi: Нижние и верхние доверительные интервалы относительно медианы. Требуется, если shownotches=True.
  • label: Название набора данных (строка). Если доступно, оно будет использоваться как метка для тика диаграммы размаха.
positionsмассив, по умолчанию: [1, 2, ..., n]

Позиции ящиков. Разметки и границы автоматически устанавливаются для соответствия позициям.

widthsмассив, по умолчанию: None

Либо скалярное, либо векторное значение, устанавливающее ширину каждого ящика. По умолчанию 0.15*(distance between extreme positions), ограниченное значениями не менее 0,15 и не более 0,5.

vertbool, по умолчанию: True

Если True (по умолчанию), ящики будут вертикальными. Если False, ящики будут горизонтальными.

patch_artistbool, по умолчанию: False

Если False, создаются ящики с использованием объекта Line2D. Если True, создаются ящики с использованием объекта Patch.

shownotchesbool, по умолчанию: False

Если False (по умолчанию), создаётся прямоугольный ящик. Если True, создаётся ящик с выемкой.

showmeansbool, по умолчанию: False

Если True, будут отображаться средние значения.

showcapsbool, по умолчанию: True

Если True, будут отображаться линии-концы усов.

showboxbool, по умолчанию: True

Если True, будет отображаться ящик.

showfliersbool, по умолчанию: True

Если True, будут отображаться точки-выбросы.

Примеры

(Исходный код, png, pdf)

END_OF_DOCUMENT_MARKER
<img alt="../../_images/bxp_00_00.png" class="plot-directive" src="data:image/png;base64,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

(png, pdf)

<img alt="../../_images/bxp_01_00.png" class="plot-directive" src="data:image/png;base64,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

Примеры использования matplotlib.axes.Axes.bxp

© 2012–2021 Matplotlib Development Team. All rights reserved.
Licensed under the Matplotlib License Agreement.
https://matplotlib.org/3.4.3/api/_as_gen/matplotlib.axes.Axes.bxp.html

Spec-Zone.ru

Настройки Оффлайн Что нового Помощь О нас
Spec-Zone .ru
спецификации, руководства, описания, API