Python Bokeh – Plotting Hexagon Bins on a Graph

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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 hexbin() method of the plotting module.

plotting.figure.hexbin()

Syntax : hexbin(parameters)

Parameters :

x : NumPy array of x-coordinates of the hexagon tile bins

y : NumPy array of y-coordinates of the hexagon tile bins

size : radius of the hexagonal tile bins, default is 1

palette : orientation value, default is Viridis256

orientation : palette to colormap the bins, default is pointytop

line_color : color of the line, default is black

fill_color : fill color value of the hexagon tile bin markers

aspect_scale : aspect ratio scaling value

Any additional keyword arguments are passed to hex_tile().

Returns : an object of class GlyphRenderer and DataFrame

Example 1 : 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  
import numpy as np 
  
# file to save the model  
output_file("gfg.html")  
       
# instantiating the figure object  
graph = figure(title = "Bokeh Hexagon Bin Graph")  
    
# the points to be plotted  
x = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9]) 
y = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9]) 
  
# plotting the graph  
graph.hexbin(x, y, size = 1)  
     
# displaying the model  
show(graph)  

Output :

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

# importing the modules  
from bokeh.plotting import figure, output_file, show  
import numpy as np 
  
# file to save the model  
output_file("gfg.html")  
       
# instantiating the figure object  
graph = figure(title = "Bokeh Hexagon Bin 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 = np.random.standard_normal(500) 
y = np.random.standard_normal(500) 
  
# size of the bins 
size = 0.5
  
# color palette of the graph 
palette = "Plasma256"
  
# plotting the graph  
graph.hexbin(x, y, 
             size = 0.5, 
             palette = palette)  
     
# displaying the model  
show(graph)   