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Python Bokeh - Plotting Hexagon Bins 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 hexagon tiles on a graph. Plotting hexagon tiles on a graph can be done using the

method of the

module.

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

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) 

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)  

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