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 :
- x0 : x-coordinates of the starting points of the quadratic
- y0 : y-coordinates of the starting points of the quadratic
- x1 : x-coordinates of the ending points of the quadratic
- y1 : y-coordinates of the ending points of the quadratic
- cx : x-coordinates of the control points of the quadratic
- cy : y-coordinates of the control points of the quadratic
Returns : an object of class GlyphRenderer
Example 1 : In this example we will be using the default values for plotting the graph.
from bokeh.plotting import figure, output_file, show
output_file( "gfg.html" )
graph = figure(title = "Bokeh Quadratic Graph" )
x0 = 1
y0 = 4
x1 = 5
y1 = 4
cx = 2.5
cy = 8
graph.quadratic(x0, y0,
x1, y1,
cx, cy)
show(graph)
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Output :
Example 2 : In this example we will be plotting multiple quadratic curves with various other parameters.
from bokeh.plotting import figure, output_file, show
output_file( "gfg.html" )
graph = figure(title = "Bokeh Quadratic Graph" )
graph.xaxis.axis_label = "x-axis"
graph.yaxis.axis_label = "y-axis"
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 = [ "yellow" , "red" , "purple" ]
line_width = [ 10 , 5 , 8 ]
graph.quadratic(x0, y0,
x1, y1,
cx, cy,
line_color = line_color,
line_width = line_width)
show(graph)
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Output :
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