📜  Python Bokeh – 在图表上绘制菱形十字

📅  最后修改于: 2022-05-13 01:54:55.288000             🧑  作者: Mango

Python Bokeh – 在图表上绘制菱形十字

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带有十字的菱形。可以使用plotting模块的diamond_cross()方法在图形上绘制带有十字的菱形。

plotting.figure.diamond_cross()

示例 1:在此示例中,我们将使用默认值来绘制图形。我们提供了 size 和 fill_color 属性以使字形可见。

# 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 Diamond Cross 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.diamond_cross(x, y, size = 25, fill_color = None)
   
# 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菱形十字架,菱形十字架的大小与其值成正比。

# 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 Diamond Cross 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 diamonds
size = [i * 2 for i in y]
   
# angle of the diamonds
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 Dashes"
    
# plotting the graph
graph.diamond_cross(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 :