Python Bokeh – 在图上绘制六边形

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六边形。可以使用plotting模块的hex()方法在图形上绘制六边形。

plotting.figure.hex()

Syntax : hex(parameters)

Parameters :

• x : x-coordinates of the center of the hexagon markers
• y : y-coordinates of the center of the hexagon markers
• size : diameter of the hexagon markers, default is 4
• angle : angle of rotation of the hexagon markers, default is 0
• angle_units : unit of the angle, default is rad
• fill_alpha : fill alpha value of the hexagon markers
• fill_color : fill color value of the hexagon markers
• line_alpha : percentage value of line alpha, default is 1
• line_cap : value of line cap for the line, default is butt
• line_color : color of the line, default is black
• line_dash : value of line dash such as : solid, dashed, dotted, dotdash, dashdot [default is solid ]
• line_dash_offset : value of line dash offset, default is 0
• line_join : value of line join, default in bevel
• line_width : value of the width of the line, default is 1
• name : user-supplied name for the model
• tags : user-supplied values for the model

Other Parameters :

• alpha : sets all alpha keyword arguments at once
• color : sets all color keyword arguments at once
• legend_field : name of a column in the data source that should be used
• legend_group : name of a column in the data source that should be used
• legend_label : labels the legend entry
• muted : determines whether the glyph should be rendered as muted or not, default is False
• name : optional user-supplied name to attach to the renderer
• source : user-supplied data source
• view : view for filtering the data source
• visible : determines whether the glyph should be rendered or not, default is True
• x_range_name : name of an extra range to use for mapping x-coordinates
• y_range_name : name of an extra range to use for mapping y-coordinates
• level : specifies the render level order for this glyph

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 Hexagon 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.hex(x, y)
    
# 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绘制带有虚线的六边形，并且六边形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 Hexagon 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 Hexagons"
    
# plotting the graph
graph.hex(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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