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📜  Python Bokeh – 在图表上绘制六边形图块

📅  最后修改于: 2022-05-13 01:54:49.845000             🧑  作者: Mango

Python Bokeh – 在图表上绘制六边形图块

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六边形图块。可以使用plotting模块的hex_tile()方法在图形上绘制六边形图块。

plotting.figure.hex_tile()

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 Hexagon Tiles Graph",
               match_aspect = True) 
     
# the points to be plotted 
r = [0, 0, 1] 
q = [1, 2, 2] 
    
# plotting the graph 
graph.hex_tile(r, q) 
     
# displaying the model 
show(graph) 

输出 :

示例 2:在此示例中,我们将使用各种参数绘制六边形图块

# 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 Hexagon Tiles Graph",
               match_aspect = True) 
  
# 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 
r = [0, -1,  0,  1, -1, 0, 1]
q = [0,  0, -1, -1,  1, 1, 0] 
  
# fill color values
fill_color = ["yellow", "blue", "pink", "green", "orange", "red", "purple"]
  
# line color values
line_color = ["yellow", "blue", "pink", "green", "orange", "red", "purple"]
  
# plotting the graph 
graph.hex_tile(r, q,
               fill_color = fill_color,
               line_color = line_color) 
     
# displaying the model 
show(graph) 

输出 :