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Python Bokeh - Plotting Quadratic Curves on a Graph

Python Bokeh - Plotting Quadratic Curves 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 quadratic curves on a graph. Plotting quadratic curves on a graph can be done using the

quadratic()

method of the

plotting

module.

plotting.figure.quadratic()
Syntax : quadratic(parameters) Parameters : 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 Quadratic Graph")
    
# the points to be plotted
x0 = 1
y0 = 4
x1 = 5
y1 = 4
cx = 2.5
cy = 8

# plotting the graph
graph.quadratic(x0, y0,
                x1, y1,
                cx, cy)
    
# displaying the model
show(graph)
Output : Example 2 :

In this example we will be plotting multiple quadratic curves 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 Quadratic 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
x0 = [1, 0, 0]
y0 = [4, 8, 5]
x1 = [5, 4, 4]
y1 = [4, 8, 7]
cx = [2.5, 2, 4]
cy = [8, 3, 4]

# line color value of the quadratic
line_color = ["yellow", "red", "purple"]

# line width value of the quadratic
line_width = [10, 5, 8]

# plotting the graph 
graph.quadratic(x0, y0,
                x1, y1,
                cx, cy,
                line_color = line_color,
                line_width = line_width) 
     
# displaying the model 
show(graph)
Output :

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