Skip to content
Related Articles

Related Articles

Python Bokeh – Plotting Inverted Triangles 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 inverted triangles on a graph. Plotting inverted triangles on a graph can be done using the inverted_triangle() method of the plotting module.

plotting.figure.inverted_triangle()

Syntax : inverted_triangle(parameters)

Parameters :

  • x : x-coordinates of the center of the inverted triangle markers
  • y : y-coordinates of the center of the inverted triangle markers
  • size : diameter of the inverted triangle markers, default is 4
  • angle : angle of rotation of the inverted triangle markers, default is 0
  • angle_units : unit of the angle, default is rad
  • fill_alpha : fill alpha value of the inverted triangle markers
  • fill_color : fill color value of the inverted triangle markers
  • line_alpha : percentage value of line alpha, default is 1
  • line_cap : value of line cap for the line, default is butt
  • line_color : color of the line, default is black
  • line_dash : value of line dash such as :
    • solid
    • dashed
    • dotted
    • dotdash
    • dashdot

    default is solid

  • line_dash_offset : value of line dash offset, default is 0
  • line_join : value of line join, default in bevel
  • line_width : value of the width of the line, default is 1
  • name : user-supplied name for the model
  • tags : user-supplied values for the model

Other Parameters :



  • alpha : sets all alpha keyword arguments at once
  • color : sets all color keyword arguments at once
  • legend_field : name of a column in the data source that should be used
  • legend_group : name of a column in the data source that should be used
  • legend_label : labels the legend entry
  • muted : determines whether the glyph should be rendered as muted or not, default is False
  • name : optional user-supplied name to attach to the renderer
  • source : user-supplied data source
  • view : view for filtering the data source
  • visible : determines whether the glyph should be rendered or not, default is True
  • x_range_name : name of an extra range to use for mapping x-coordinates
  • y_range_name : name of an extra range to use for mapping y-coordinates
  • level : specifies the render level order for this glyph

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 Inverted Triangle Graph"
     
# the points to be plotted 
x = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5
y = [i ** 2 for i in x] 
    
# plotting the graph 
graph.inverted_triangle(x, y) 
     
# displaying the model 
show(graph) 

Output :

Example 2 : In this example we will be plotting the inverted triangles where the sizes are in proportion to their values and 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 Inverted Triangle Graph"
     
# name of the x-axis 
graph.xaxis.axis_label = "x-axis"
      
# name of the y-axis 
graph.yaxis.axis_label = "y-axis"
     
# the points to be plotted 
x = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5
y = [i ** 2 for i in x] 
     
# size of the diamonds 
size = [i * 2 for i in y] 
     
# angle of the diamonds 
angle = 10
    
# fill color value 
fill_color = "yellow"
    
# color of the line 
line_color = "red"
    
# name of the legend 
legend_label = "Sample Triangles"
      
# plotting the graph 
graph.inverted_triangle(x, y,
                        size = size, 
                        angle = angle, 
                        fill_color = fill_color, 
                        line_color = line_color, 
                        legend_label = legend_label) 
       
# displaying the model 
show(graph)

Output :

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up
Recommended Articles
Page :