K-Nearest Neighbor(KNN) Algorithm

Python Bokeh - Plotting Squares 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 on a graph. Plotting squares on a graph can be done using the square() method of the plotting module.

plotting.figure.square()

Syntax : square(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.

Python3

# 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 Graph")
    
# the points to be plotted
x = 0
y = 0
   
# plotting the graph
graph.square(x, y)
    
# displaying the model
show(graph)

Output :

Example 2 : In this example we will be plotting the multiple squares with various other parameters

Python3

# 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 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"

# points to be plotted
x = [3, 3, 5]
y = [3, 3, 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(x, y,
             size = size,
             color = color,
             fill_alpha = fill_alpha) 
     
# displaying the model 
show(graph)

Output :

K-Nearest Neighbor(KNN) Algorithm

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