Python Bokeh – 在图形上绘制二次曲线

Bokeh 是一个Python交互式数据可视化。它使用 HTML 和 JavaScript 渲染其绘图。它针对现代 Web 浏览器进行演示，提供具有高性能交互性的新颖图形的优雅、简洁构造。

Bokeh 可用于在图形上绘制二次曲线。可以使用plotting模块的quadratic()方法在图形上绘制二次曲线。

plotting.figure.quadratic()

Syntax : quadratic(parameters)

Parameters :

• x0 : x-coordinates of the starting points of the quadratic
• y0 : y-coordinates of the starting points of the quadratic
• x1 : x-coordinates of the ending points of the quadratic
• y1 : y-coordinates of the ending points of the quadratic
• cx : x-coordinates of the control points of the quadratic
• cy : y-coordinates of the control points of the quadratic

Returns : an object of class GlyphRenderer

示例 1：在此示例中，我们将使用默认值来绘制图形。

# importing the modules
from bokeh.plotting import figure, output_file, show
        
# file to save the model
output_file("gfg.html")
        
# instantiating the figure object
graph = figure(title = "Bokeh Quadratic Graph")
      
# the points to be plotted
x0 = 1
y0 = 4
x1 = 5
y1 = 4
cx = 2.5
cy = 8
  
# plotting the graph
graph.quadratic(x0, y0,
                x1, y1,
                cx, cy)
      
# displaying the model
show(graph)

输出 ：

示例 2：在此示例中，我们将绘制具有各种其他参数的多条二次曲线。

# importing the modules 
from bokeh.plotting import figure, output_file, show 
  
# file to save the model 
output_file("gfg.html") 
       
# instantiating the figure object 
graph = figure(title = "Bokeh Quadratic Graph") 
  
# name of the x-axis 
graph.xaxis.axis_label = "x-axis"
       
# name of the y-axis 
graph.yaxis.axis_label = "y-axis"
  
# points to be plotted
x0 = [1, 0, 0]
y0 = [4, 8, 5]
x1 = [5, 4, 4]
y1 = [4, 8, 7]
cx = [2.5, 2, 4]
cy = [8, 3, 4]
  
# line color value of the quadratic
line_color = ["yellow", "red", "purple"]
  
# line width value of the quadratic
line_width = [10, 5, 8]
  
# plotting the graph 
graph.quadratic(x0, y0,
                x1, y1,
                cx, cy,
                line_color = line_color,
                line_width = line_width) 
       
# displaying the model 
show(graph)

输出 ：

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