Python Bokeh - Plotting Patches on a Graph
Last Updated :
10 Jul, 2020
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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 patches on a graph. Plotting patches on a graph can be done using the
Python3
Output :
Example 2 : In this example we will be plotting the patch with various other parameters
Python3
Output :
patch() method of the plotting module.
plotting.figure.patch()
Syntax : patch(parameters) Parameters :Example 1 : In this example we will be using the default values for plotting the graph.Returns : an object of class
- x : x-coordinates of the patch
- y : y-coordinates of the patch
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 Patch Graph")
# the points to be plotted
x = [0, 1, 2, 3, 4, 5]
y = [5, 2, 8, 5, 0, 10]
# plotting the graph
graph.patch(x, y)
# displaying the model
show(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 Patch 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
x = [0, 0, 1, 1, 4, 2, 8, 4]
y = [2.5, 0.5, 0.5, 2.5, 5, 9, 1, 0]
# color value of the patch
color = "yellow"
# fill alpha value of the patch
fill_alpha = 0.5
# name of the legend
legend_label = "Sample Patch"
# plotting the graph
graph.patch(x, y,
color = color,
fill_alpha = fill_alpha,
legend_label = legend_label)
# displaying the model
show(graph)
