Skip to content
Related Articles

Related Articles

Improve Article
Save Article
Like Article

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 :


My Personal Notes arrow_drop_up
Recommended Articles
Page :

Start Your Coding Journey Now!