Spec-Zone.ru › Matplotlib

matplotlib.axes.Axes.axvline

Axes.axvline(x=0, ymin=0, ymax=1, **kwargs)[source]

Добавить вертикальную линию на оси.

Параметры:
xfloat, по умолчанию: 0

Позиция x в координатах данных для вертикальной линии.

yminfloat, по умолчанию: 0

Должно быть между 0 и 1, 0 — нижняя часть графика, 1 — верхняя часть графика.

ymaxfloat, по умолчанию: 1

Должно быть между 0 и 1, 0 — нижняя часть графика, 1 — верхняя часть графика.

Возвращает:
Line2D
Другие параметры:
**kwargs

Допустимые ключевые аргументы — Line2D свойства, за исключением 'transform':

Свойство

Описание

agg_filter

функция фильтра, которая принимает массив чисел с плавающей точкой (m, n, 3) и значение dpi, и возвращает массив чисел с плавающей точкой (m, n, 3) и два смещения от нижнего левого угла изображения

alpha

скаляр или None

animated

bool

antialiased или aa

bool

clip_box

BboxBase или None

clip_on

bool

clip_path

Patch или (Path, Transform) или None

color или c

цвет

dash_capstyle

CapStyle или {'butt', 'projecting', 'round'}

dash_joinstyle

JoinStyle или {'miter', 'round', 'bevel'}

dashes

последовательность чисел с плавающей точкой (чернила вкл/выкл в точках) или (None, None)

data

(2, N) массив или два одномерных массива

drawstyle или ds

{'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, по умолчанию: 'default'

figure

Figure

fillstyle

{'full', 'left', 'right', 'bottom', 'top', 'none'}

gapcolor

цвет или None

gid

строка

in_layout

bool

label

объект

linestyle или ls

{'-', '--', '-.', ':', '', (смещение, последовательность включения/выключения), ...}

linewidth или lw

число с плавающей точкой

marker

строка стиля маркера, Path или MarkerStyle

markeredgecolor или mec

цвет

markeredgewidth или mew

число с плавающей точкой

markerfacecolor или mfc

цвет

markerfacecoloralt или mfcalt

цвет

markersize или ms

число с плавающей точкой

markevery

None или целое число или (целое число, целое число) или срез или список целых чисел или число с плавающей точкой или (число с плавающей точкой, число с плавающей точкой) или список булевых значений

mouseover

bool

path_effects

список AbstractPathEffect

picker

число с плавающей точкой или вызываемая функция [[Художник, Событие], кортеж[bool, dict]]

pickradius

число с плавающей точкой

rasterized

bool

sketch_params

(масштаб: число с плавающей точкой, длина: число с плавающей точкой, случайность: число с плавающей точкой)

snap

bool или None

solid_capstyle

CapStyle или {'butt', 'projecting', 'round'}

solid_joinstyle

JoinStyle или {'miter', 'round', 'bevel'}

transform

неизвестно

url

строка

visible

bool

xdata

одномерный массив

ydata

одномерный массив

zorder

вещественное число

См. также

vlines

Добавление вертикальных линий в координатах данных.

axvspan

Добавление вертикального интервала (прямоугольника) через ось.

axline

Добавление линии с произвольным наклоном.

Примеры

  • отрисовка толстой красной вертикальной линии в точке x = 0, охватывающей диапазон y:

    >>> axvline(linewidth=4, color='r')
    
  • отрисовка стандартной вертикальной линии в точке x = 1, охватывающей диапазон y:

    >>> axvline(x=1)
    
  • отрисовка стандартной вертикальной линии в точке x = .5, охватывающей среднюю половину диапазона y:

    >>> axvline(x=.5, ymin=0.25, ymax=0.75)
    

Примеры использования matplotlib.axes.Axes.axvline

END_OF_DOCUMENT_MARKER

Демонстрация axhspan

Демонстрация axhspan
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

Построение эллипса доверия для двумерного набора данных

Построение эллипса доверия для двумерного набора данных
Тест базовых линий usetex
Тест базовых линий usetex
<img alt="" loading="lazy" 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

Цвета в стандартном цикле свойств

Цвета в стандартном цикле свойств

Бесконечные линии

Бесконечные линии

Перекрестие указателя

Перекрестие указателя
END_OF_DOCUMENT_MARKER

Диаграмма SkewT-logP: использование преобразований и пользовательских проекций

Диаграмма SkewT-logP: использование преобразований и пользовательских проекций
END_OF_DOCUMENT_MARKER

Жизненный цикл графика

Жизненный цикл графика

Аннотации

Аннотации

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