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Python Bokeh - Plotting Diamond Dots 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 diamond with dots on a graph. Plotting diamond with dots on a graph can be done using the

method of the

module.

Syntax : diamond_dot(parameters) Parameters :

• x : x-coordinates of the center of the diamond dot markers
• y : y-coordinates of the center of the diamond dot markers
• size : diameter of the diamond dot markers, default is 4
• angle : angle of rotation of the diamond dot markers, default is 0
• angle_units : unit of the angle, default is rad
• fill_alpha : fill alpha value of the diamond dot markers
• fill_color : fill color value of the diamond dot 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

In this example we will be using the default values for plotting the graph. We have provided the size and fill_color attributes to make the glyph visible.

# 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 Dot 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_dot(x, y, size = 25, fill_color = None)
 
# displaying the model
show(graph)

In this example we will be plotting the diamond dots 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 Diamond Dot 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 Dashes"
  
# plotting the graph
graph.diamond_dot(x, y,
                  size = size,
                  angle = angle,
                  fill_color = fill_color,
                  line_color = line_color,
                  legend_label = legend_label)
   
# displaying the model
show(graph)

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