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Python Bokeh - Plotting Hexagons on a Graph

Last Updated : 10 Jul, 2020

Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh can be used to plot hexagons on a graph. Plotting hexagons on a graph can be done using the

method of the

module.

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

In this example we will be using the default values for plotting the graph.

# 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)

In this example we will be plotting the hexagons with dotted lines alongside other parameters and the size of the hexagons are in proportion to their values.

# 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)

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