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 :Example 1 :Returns : an object of class
- 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
GlyphRenderer
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 :
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4