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Python Bokeh – Plotting Triangle Pins 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 triangle pins on a graph. Plotting triangle pins on a graph can be done using the triangle_pin() method of the plotting module.

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plotting.figure.triangle_pin()

Syntax : triangle_pin(parameters)



Parameters :

  • x : x-coordinates of the center of the triangle markers
  • y : y-coordinates of the center of the triangle markers

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 Triangle Pin Graph")
       
# the points to be plotted
x = 0
y = 0
      
# plotting the graph
graph.triangle_pin(x, y, size = 30)
       
# displaying the model
show(graph)

Output :

Example 2 : In this example we will be plotting multiple triangle pins 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 Triangle Pin 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 = [3, 3, 5]
y = [3, 1, 3]
size = [130, 100, 60]
   
# color value of the triangles
color = ["yellow", "red", "purple"]
   
# fill alpha value of the triangles
fill_alpha = [0.9, 0.7, 0.5]
   
# plotting the graph 
graph.triangle_pin(x, y,
                   size = size,
                   color = color,
                   fill_alpha = fill_alpha) 
        
# displaying the model 
show(graph) 

Output :




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