Skip to content
Related Articles

Related Articles

Python Bokeh – Plotting a Scatter Plot on a Graph

View Discussion
Improve Article
Save Article
  • 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 a scatter plot on a graph. Plotting squares on a graph can be done using the scatter() method of the plotting module.

plotting.figure.scatter()

Syntax : scatter(parameters)

Parameters :

  • x : x-coordinates of the center of the glyphs
  • y : y-coordinates of the center of the glyphs
  • marker : signifies the type of the glyph

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 Scatter Graph")
      
# the points to be plotted
x = [1, 2, 3, 4, 5]
y = [1, 2, 3, 4, 5]
     
# plotting the graph
graph.scatter(x, y)
      
# displaying the model
show(graph)

Output :

Example 2 : In this example we will be plotting multiple scatter points with various other parameters




# importing the modules 
from bokeh.plotting import figure, output_file, show 
from bokeh.palettes import magma
import random
  
# file to save the model 
output_file("gfg.html"
       
# instantiating the figure object 
graph = figure(title = "Bokeh Scatter 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 = [n for n in range(256)]
y = [random.random() + 1 for n in range(256)]
size = 10
  
# color value of the scatter points
color = magma(256)
  
# plotting the graph 
graph.scatter(x, y,
              size = size,
              color = color) 
       
# displaying the model 
show(graph)

Output :


My Personal Notes arrow_drop_up
Recommended Articles
Page :

Start Your Coding Journey Now!