Python Bokeh - Plotting Patches 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 patches on a graph. Plotting patches on a graph can be done using the patch() method of the plotting module.

plotting.figure.patch()

Syntax : patch(parameters) Parameters :

x : x-coordinates of the patch

y : y-coordinates of the patch

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 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)

Output :

Example 2 : In this example we will be plotting the patch 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 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)