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Python Bokeh - Plotting Ellipses on a Graph

Last Updated : 03 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 ellipses on a graph. Plotting ellipses on a graph can be done using the

method of the

module.

Syntax : ellipse(parameters) Parameters :

• x : x-coordinates of the center of the ellipse
• y : y-coordinates of the center of the ellipse
• width : width of each ellipse
• height : height of each ellipse
• angle : angle of rotation of the ellipse, default is 0
• angle_units : unit of the angle, default is rad
• fill_alpha : fill alpha value of the ellipse
• fill_color : fill color value of the ellipse
• height_units : unit of the height, default isdata
• 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

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 Ellipse Graph",
               match_aspect = True)
  
# the points to be plotted
x = 0
y = 0

# width of the ellipse
width = 60

# height of the ellipse
height = 20

# plotting the graph
graph.ellipse(x, y,
              width = width,
              height = height)
 
# displaying the model
show(graph)

In this example we will be plotting multiple ellipses with different 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 Ellipse 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 = [0, 30, 0]
y = [0, 30, -30]

# width of the ellipse
width = [60, 20, 40]

# height of the ellipse
height = [20, 180, 80]

# angle of the ellipse
angle = [0, 150, 20]

# fill alpha values
fill_alpha = 0.3

# fill color values
fill_color = ["red", "yellow", "blue"]

# line color value
line_color = "black"

# plotting the graph
graph.ellipse(x, y,
              width = width,
              height = height,
              angle = angle,
              fill_alpha = fill_alpha,
              fill_color = fill_color,
              line_color = line_color)
 
# displaying the model
show(graph)

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