Python Bokeh – Plotting Ovals on a Graph

0 0 4 minutes read

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 ovals on a graph. Plotting ovals on a graph can be done using the oval() method of the plotting module.

plotting.figure.oval()

Syntax : oval(parameters)

Parameters :

x : x-coordinates of the center of the oval markers

y : y-coordinates of the center of the oval markers

width : width of the oval markers

height : height of the oval markers

width_units : unit of the width of the oval markers

height_units : unit of the height of the oval markers

angle : angle of rotation of the oval markers, default is 0

angle_units : unit of the angle, default is rad

fill_alpha : fill alpha value of the oval markers

fill_color : fill color value of the oval 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 Oval 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.oval(x, y, 
           height = 0.5, 
           width = 1) 
    
# displaying the model 
show(graph) 

Output :

Example 2 : In this example we will be plotting the ovals with dotted lines alongside other parameters and the size of the hexagons are in proportion to their values.

# 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 Oval 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] 
   
# width of the ovals 
height = [i * 2 for i in y] 
  
# angle of the ovals 
width = [i * 2.5 for i in y] 
   
# angle of the ovals 
angle = 10
  
# fill color value 
fill_color = None
  
# color of the line 
line_color = "red"
    
# type of line 
line_dash = "dotted"
    
# offset of line dash 
line_dash_offset = 1
   
# width of the dashes 
line_width = 10
   
# name of the legend 
legend_label = "Sample Ovals"
    
# plotting the graph 
graph.oval(x, y, 
          height = height, 
          width = width, 
          angle = angle, 
          fill_color = fill_color, 
          line_color = line_color, 
          line_dash = line_dash, 
          line_dash_offset = line_dash_offset, 
          line_width = line_width, 
          legend_label = legend_label) 
   
     
# displaying the model 
show(graph) 