Python Bokeh – 在图表上绘制 Xs

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 X。可以使用plotting模块的x()方法在图形上绘制 X。

plotting.figure.x()

Syntax : x(parameters)

Parameters :

x : x-coordinates of the center of the x markers
y : y-coordinates of the center of the x markers

Returns : an object of class GlyphRenderer

编程需要懂一点英语

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 X Graph")
       
# the points to be plotted
x = 0
y = 0
      
# plotting the graph
graph.x(x, y, size = 30)
       
# displaying the model
show(graph)

输出：

示例 2：在此示例中，我们将使用各种其他参数绘制多个 X。

# 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 X 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
x = [3, 3, 5]
y = [3, 1, 3]
size = [130, 100, 60]
   
# color value of the Xs
color = ["yellow", "red", "purple"]
   
# fill alpha value of the Xs
fill_alpha = [0.9, 0.7, 0.5]
  
# line width of the Xs
line_width = [10, 15, 5]
  
# plotting the graph 
graph.x(x, y,
        size = size,
        color = color,
        fill_alpha = fill_alpha,
        line_width = line_width) 
        
# displaying the model 
show(graph)

输出：

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