Python中的 bokeh.plotting.figure.annulus()函数

Bokeh是Python中的数据可视化库，提供高性能的交互式图表和绘图，输出可以在笔记本、html 和服务器等各种媒体中获得。 Figure 类创建一个用于绘图的新 Figure。它是 Plot 的子类，使用默认轴、网格、工具等简化绘图创建。

bokeh.plotting.figure.annulus()函数

bokeh 库的绘图模块中的annulus()函数用于配置和添加 Annulus 字形到此图中。

Syntax: annulus(x, y, inner_radius, outer_radius, *, fill_alpha=1.0, fill_color=’gray’, inner_radius_units=’data’, line_alpha=1.0, line_cap=’butt’, line_color=’black’, line_dash=[], line_dash_offset=0, line_join=’bevel’, line_width=1, name=None, outer_radius_units=’data’, tags=[], **kwargs)

Parameters: This method accept the following parameters that are described below:

• x: This parameter is the x-coordinates for the center of the annuli.
• y: This parameter is the y-coordinates for the center of the annuli.
• inner_radius: This parameter is the inner radii of the annuli.
• outer_radius: This parameter is the outer radii of the annuli.
• start_angle: This parameter is the angles to start the annular wedges.
• fill_alpha: This parameter is the fill alpha values for the annular wedges.
• fill_color: This parameter is the fill color values for the annular wedges.
• line_alpha: This parameter is the line alpha values for the steps with default value of 1.0 .
• line_cap: This parameter is the line cap values for the steps with default value of butt.
• line_color: This parameter is the line color values for the steps with default value of black.
• line_dash: This parameter is the line dash values for the steps with default value of [].
• line_dash_offset: This parameter is the line dash offset values for the steps with default value of 0.
• line_join: This parameter is the line join values for the steps with default value of bevel.
• line_width: This parameter is the line width values for the steps with default value of 1.
• mode: This parameter can be one of three values : [“before”, “after”, “center”].
• name: This parameter is the user-supplied name for this model.
• tags: This parameter is the user-supplied values for this model.

Other Parameters: These parameters are **kwargs that are described below:

• alpha: This parameter is used to set all alpha keyword arguments at once.
• color: This parameter is used to to set all color keyword arguments at once.
• legend_field: This parameter is the name of a column in the data source that should be used or the grouping.
• legend_group: This parameter is the name of a column in the data source that should be used or the grouping.
• legend_label: This parameter is the legend entry is labeled with exactly the text supplied here.
• muted: This parameter contains the bool value.
• name: This parameter is the optional user-supplied name to attach to the renderer.
• source: This parameter is the user-supplied data source.
• view: This parameter is the view for filtering the data source.
• visible: This parameter contains the bool value.
• x_range_name: This parameter is the name of an extra range to use for mapping x-coordinates.
• y_range_name: This parameter is the name of an extra range to use for mapping y-coordinates.
• level: This parameter specify the render level order for this glyph.

Return: This method return the GlyphRenderer value.

下面的示例说明了 bokeh.plotting 中的 bokeh.plotting.figure.Annulus()函数：
示例 1：

# Implementation of bokeh function
  
import numpy as np 
from bokeh.plotting import figure, output_file, show
  
plot = figure(plot_width = 300, plot_height = 300)
plot.annulus(x =[1, 2, 3], y =[3, 2, 1],
             color ="green", inner_radius = 0.2,
             outer_radius = 0.5, alpha = 0.6)
  
show(plot)

输出：

示例 2：

# Implementation of bokeh function
   
import numpy as np 
from bokeh.plotting import figure, output_file, show
   
N = 9
x = np.linspace(-2, 2, N)
y = x**2
r = x / 12.0 + 0.4
   
plot = figure(width = 300, height = 300)
plot.annulus(x = x, y = y, inner_radius =.2,
             outer_radius = r, fill_color ="green",
             alpha = 0.5)
   
show(plot)

输出：