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Python Bokeh - Plotting Quadrilaterals 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 quadrilaterals on a graph. Plotting quadrilaterals on a graph can be done using the

method of the

module.

Syntax : quad(parameters) Parameters :

• left : x-coordinates of the left edges of the quadrilateral
• right : x-coordinates of the right edges of the quadrilateral
• top : y-coordinates of top the edges of the quadrilateral
• bottom : y-coordinates bottom of the edges of the quadrilateral

Returns : an object of class GlyphRenderer

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 Quadrilateral Graph",
               match_aspect = True)
    
# the points to be plotted
top = 3
bottom = 1
left = 0
right = 4
   
# plotting the graph
graph.quad(left,
           right,
           top,
           bottom)
    
# displaying the model
show(graph)

In this example we will be plotting the multiple quadrilaterals 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 Quadrilateral 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
left = [2, 3, 6]
right = [1, 5, 0]
top = [3, 6, 6]
bottom = [1, 5, 2] 

# color value of the patch
color = ["yellow", "red", "blue"]

# fill alpha value of the patch
fill_alpha = [0.9, 0.7, 0.5]

# plotting the graph 
graph.quad(left,
           right,
           top,
           bottom,
           color = color,
           fill_alpha = fill_alpha) 
     
# displaying the model 
show(graph)

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