from itertools import product
from math import pi
from bokeh.plotting import figure, show
cats = ['None', 'Alpha', 'RGB', 'RGBA', 'Alpha+RGB', 'Alpha+RGBA']
p = figure(x_range=cats, y_range=cats,
title="Fill and Line Color Combinations")
p.xaxis.axis_label = "Fill Options"
p.xaxis.major_label_orientation = pi/4
p.yaxis.axis_label = "Line Options"
p.grid.grid_line_color = None
p.toolbar_location = None
alpha = 0.5
fill_color = (242, 44, 64)
fill_color_alpha = (242, 44, 64, alpha)
line_color = (0, 0, 0)
line_color_alpha = (0, 0, 0, alpha)
# define fill and line color combinations
fill = [(0, {}),
(1, {'fill_alpha': alpha}),
(2, {'fill_color': fill_color}),
(3, {'fill_color': fill_color_alpha}),
(4, {'fill_alpha': alpha, 'fill_color': fill_color}),
(5, {'fill_alpha': alpha, 'fill_color': fill_color_alpha})]
line = [(0, {}),
(1, {'line_alpha': alpha}),
(2, {'line_color': line_color}),
(3, {'line_color': line_color_alpha}),
(4, {'line_alpha': alpha, 'line_color': line_color}),
(5, {'line_alpha': alpha, 'line_color': line_color_alpha})]
# plot intersection of fill and line combinations
combinations = product(fill, line)
for comb in combinations:
x, fill_options = comb[0]
y, line_options = comb[1]
options = fill_options.copy()
options.update(line_options)
p.scatter([cats[x]], [cats[y]], line_width=7, size=50, **options)
show(p)
