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Python Bokeh - Plotting Quadrilaterals 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 quadrilaterals on a graph. Plotting quadrilaterals on a graph can be done using the quad() method of the plotting module.

plotting.figure.quad()

Syntax : quad(parameters) Parameters :
  • left : x-coordinates of the left edges of the quadrilateral
  • right : x-coordinates of the right edges of the quadrilateral
  • top : y-coordinates of top the edges of the quadrilateral
  • bottom : y-coordinates bottom of the edges of the quadrilateral
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 Quadrilateral Graph", match_aspect = True) # the points to be plotted top = 3 bottom = 1 left = 0 right = 4 # plotting the graph graph.quad(left, right, top, bottom) # displaying the model show(graph) 
Output : Example 2 : In this example we will be plotting the multiple quadrilaterals 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 Quadrilateral 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 left = [2, 3, 6] right = [1, 5, 0] top = [3, 6, 6] bottom = [1, 5, 2] # color value of the patch color = ["yellow", "red", "blue"] # fill alpha value of the patch fill_alpha = [0.9, 0.7, 0.5] # plotting the graph  graph.quad(left, right, top, bottom, color = color, fill_alpha = fill_alpha) # displaying the model  show(graph) 
Output :

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