Python Bokeh – 在图表上绘制加号

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 可用于在图表上绘制优点。可以使用plotting模块的plus()方法在图形上绘制加号。

plotting.figure.plus()

Syntax : plus(parameters)

Parameters :

x : x-axis coordinates of the center the plus markers
y : y-axis coordinates of the plus 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 Plus Graph")
     
# the points to be plotted
x = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5]
y = [i ** 2 for i in x]
    
# plotting the graph
graph.plus(x, y, size = 20)
     
# displaying the model
show(graph)

输出：

示例 2：在此示例中，我们将在其他参数旁边用虚线绘制加号，并且六边形的大小与其值成比例。

# 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 Plus Graph")
    
# name of the x-axis
graph.xaxis.axis_label = "x-axis"
     
# name of the y-axis
graph.yaxis.axis_label = "y-axis"
    
# the points to be plotted
x = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5]
y = [i ** 2 for i in x]
    
# size of the hexagons
size = [i * 2 for i in y]
    
# angle of the hexagons
angle = 10
   
# fill color value
fill_color = None
   
# color of the line
line_color = "red"
     
# type of line
line_dash = "dotted"
     
# offset of line dash
line_dash_offset = 1
    
# width of the dashes
line_width = 10
    
# name of the legend
legend_label = "Sample Pluses"
     
# plotting the graph
graph.plus(x, y,
           size = size,
           angle = angle,
           fill_color = fill_color,
           line_color = line_color,
           line_dash = line_dash,
           line_dash_offset = line_dash_offset,
           line_width = line_width,
           legend_label = legend_label)
    
      
# displaying the model
show(graph)

输出：

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