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 multiple patches on a graph. Plotting multiple patches on a graph can be done using the
Python3
Output :
Example 2 : In this example we will be plotting the patches with various other parameters
Python3
Output :

patches() method of the plotting module.
plotting.figure.patches()
Syntax : patches(parameters) Parameters :Example 1 : In this example we will be using the default values for plotting the graph.Returns : an object of class
- xs : x-coordinates of the patches
- ys : y-coordinates of the patches
GlyphRenderer
# 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 Patches Graph")
# the points to be plotted
xs = [[1, 2, 3], [3, 5, 3, 5]]
ys = [[1, 2, 1], [2, 2, 4, 5]]
# plotting the graph
graph.patches(xs, ys)
# displaying the model
show(graph)
Example 2 : In this example we will be plotting the patches 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 Patches 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
xs = [[1, 2, 3], [3, 5, 5, 3]]
ys = [[1, 2, 1], [4, 4, 2, 2]]
# color value of the patches
color = ["green", "red"]
# fill alpha value of the patches
fill_alpha = 1
# plotting the graph
graph.patches(xs, ys,
color = color,
fill_alpha = fill_alpha)
# displaying the model
show(graph)
