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Python Bokeh – Plotting Hexagon Tiles on a Graph

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  • 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 hexagon tiles on a graph. Plotting hexagon tiles on a graph can be done using the hex_tile() method of the plotting module.

plotting.figure.hex_tile()

Syntax : hex_tile(parameters)

Parameters :

  • q : column axial coordinates of the center of the hexagon tiles
  • r : row axial coordinates of the center of the hexagon tiles
  • aspect_scale : aspect scale value, default is 1
  • fill_alpha : fill alpha value of the hexagon tile markers
  • fill_color : fill color value of the hexagon tile 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
  • orientation : orientation value, default is pointytop
  • scale : scale factor of individual tiles, default is 1
  • size : radius of the hexagonal tiles, default is 1
  • 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

Example 1 : In this example we will be using the default values for plotting the graph. We have provided the size and fill_color attributes to make the glyph visible.




# 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) 

Output :

Example 2 : In this example we will be plotting the hexagon tiles with various parameters




# 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, -101, -1, 0, 1]
q = [00, -1, -11, 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) 

Output :


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