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Python Bokeh – Plotting Squares with Dots 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 squares with dots on a graph. Plotting squares with dots on a graph can be done using the square_dot() method of the plotting module.

plotting.figure.square_dot()

Syntax : square_dot(parameters)

Parameters :

  • x : x-coordinates of the center of the square
  • y : y-coordinates of the center of the square

Returns : an object of class GlyphRenderer



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
        
# file to save the model
output_file("gfg.html")
        
# instantiating the figure object
graph = figure(title = "Bokeh Square Dot Graph")
      
# the points to be plotted
x = 0
y = 0
     
# plotting the graph
graph.square_dot(x, y, size = 30, fill_color = None)
      
# displaying the model
show(graph)

Output :

Example 2 : In this example we will be plotting the multiple squares with various other 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 Square Dot Graph"
  
# name of the x-axis 
graph.xaxis.axis_label = "x-axis"
       
# name of the y-axis 
graph.yaxis.axis_label = "y-axis"
  
# points to be plotted
x = [3, 3, 5]
y = [3, 1, 3]
size = [130, 100, 60]
  
# color value of the square
color = ["yellow", "red", "purple"]
  
# fill alpha value of the square
fill_alpha = [0.9, 0.7, 0.5]
  
# plotting the graph 
graph.square_dot(x, y,
                 size = size,
                 color = color,
                 fill_alpha = fill_alpha) 
       
# displaying the model 
show(graph)

Output :

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