Python Bokeh – Plotting Hexagon Tiles on a Graph

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 hexagon tiles on a graph. Plotting hexagon tiles on a graph can be done using the hex_tile() method of the plotting module.

plotting.figure.hex_tile()

Syntax : hex_tile(parameters)

Parameters :

• q : column axial coordinates of the center of the hexagon tiles
• r : row axial coordinates of the center of the hexagon tiles
• aspect_scale : aspect scale value, default is 1
• fill_alpha : fill alpha value of the hexagon tile markers
• fill_color : fill color value of the hexagon tile 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
• orientation : orientation value, default is pointytop
• scale : scale factor of individual tiles, default is 1
• size : radius of the hexagonal tiles, default is 1
• 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. 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 Hexagon Tiles Graph",
               match_aspect = True)

# the points to be plotted
r = [0, 0, 1]
q = [1, 2, 2]

# plotting the graph
graph.hex_tile(r, q)

# displaying the model
show(graph)

Output :

Example 2 : In this example we will be plotting the hexagon tiles with various 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 Hexagon Tiles Graph",
               match_aspect = True)

# 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
r = [0, -1,  0,  1, -1, 0, 1]
q = [0,  0, -1, -1,  1, 1, 0]

# fill color values
fill_color = ["yellow", "blue", "pink", "green", "orange", "red", "purple"]

# line color values
line_color = ["yellow", "blue", "pink", "green", "orange", "red", "purple"]

# plotting the graph
graph.hex_tile(r, q,
               fill_color = fill_color,
               line_color = line_color)

# displaying the model
show(graph)

Output :