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.
# 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
# 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) |
Output :