bokeh.plotting.figure.diamond_cross() function in Python

Bokeh is a data visualization library in Python that provides high-performance interactive charts and plots and the output can be obtained in various mediums like a notebook, HTML and server. Figure Class create a new Figure for plotting. It is a subclass of Plot that simplifies plot creation with default axes, grids, tools, etc. 

bokeh.plotting.figure.diamond_cross() function

The diamond_cross() function in the plotting module of the bokeh library is used to Configure and add DiamondCross glyphs to this Figure. 

Syntax: diamond_cross(x, y, size=4, angle=0.0, *, angle_units='rad', fill_alpha=1.0, fill_color='gray', line_alpha=1.0, line_cap='butt', line_color='black', line_dash=[], line_dash_offset=0, line_join='bevel', line_width=1, name=None, tags=[], **kwargs)

Parameters: This method accept the following parameters that are described below: 
 

• x: This parameter is the x-coordinates for the center of the markers.
• y: This parameter is the y-coordinates for the center of the markers.
• size: This parameter is the size (diameter) values for the markers in screen space units.
• angle: This parameter is the angles to rotate the markers.
• fill_color: This parameter is the fill color values for the markers.
• line_color: This parameter is the line color values for the markers with default value of black.
• line_dash: This parameter is the line dash values for the markers with default value of [].
• line_join: This parameter is the line join values for the markers with default value of bevel.
• line_width: This parameter is the line width values for the markers with default value of 1.
• name: This parameter is the user-supplied name for this model.
• tags: This parameter is the user-supplied values for this model.

Return: This method return the GlyphRenderer value. 

Below examples illustrate the bokeh.plotting.figure.diamond_cross() function in bokeh.plotting: 
Example 1: 
 

# Implementation of bokeh function 
   
import numpy as np  
from bokeh.plotting import figure, output_file, show 
   
plot = figure(plot_width = 300, plot_height = 300) 
plot.diamond_cross(x = [1, 2, 3], y = [3, 7, 5],  
            size = 20, fill_color = None,
            line_color = "green", alpha = 0.9) 
   
show(plot) 

Output: 
 

Example 2: 
 

# Implementation of bokeh function 
   
import numpy as np  
from bokeh.plotting import figure, output_file, show 
   
x = [1, 2, 3, 4, 5] 
y = [6, 7, 8, 7, 3] 
  
output_file("geeksforgeeks.html") 
  
p = figure(plot_width = 300, plot_height = 300) 

p.line(x, y, line_width = 2) 
p.diamond_cross(x, y, fill_color ="red",  
         line_color ="green", size = 18) 
  
show(p) 

Output: