Python Bokeh – Plotting Diamonds on a Graph

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

plotting.figure.diamond()

Syntax : diamond(parameters)

Parameters :

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

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

size : diameter of the diamond markers, default is 4

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

angle_units : unit of the angle, default is rad

fill_alpha : fill alpha value of the diamond markers

fill_color : fill color value of the diamond 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 Diamond 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.diamond(x, y) 
   
# displaying the model 
show(graph) 

Output :

Example 2 :In this example we will be plotting the diamonds with dotted lines alongside other parameters and the size of the diamonds 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 Diamond 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 = 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 Dashes"
    
# plotting the graph 
graph.diamond(x, y, 
              size = size, 
              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) 