bokeh.plotting.figure.diamond() function
The diamond() function in the plotting module of the bokeh library is used to Configure and add Diamond glyphs to this Figure.
Syntax: diamond(x, y, size=4, angle=0.0, *, angle_units=âradâ, fill_alpha=1.0, fill_color=âgrayâ, line_alpha=1.0, line_cap=âbuttâ, line_color=âblackâ, line_dash=[], line_dash_offset=0, line_join=âbevelâ, 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.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() function in bokeh.plotting:
Example 1:
Python3
# 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(x = [ 1 , 2 , 3 ], y = [ 3 , 7 , 5 ], size = 20 , color = "red" , alpha = 0.9 ) show(plot) |
Output:
Example 2:
Python3
# 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( "w3wiki.html" ) p = figure(plot_width = 300 , plot_height = 300 ) p.line(x, y, line_width = 2 ) p.diamond(x, y, fill_color = "red" , line_color = "green" , size = 18 ) show(p) |
Output:
bokeh.plotting.figure.diamond() 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 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.
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