There's a gallery example doing that in general, making pie-charts out of the markers:
http://matplotlib.sourceforge.net/examples/api/scatter_piecharts.html
although I think my demo of it shows off its data-representation better:
# Piechart markers from matplotlib gallery, thanks to Manuel Metz for the original example
# CPHLewis, 2010.
import math
import numpy as np
import matplotlib.pyplot as plt
def payoff(x,y):
return x*y*400
def outcome_xwins(x,y):
return x/(x+y)
def outcome_ywins(x,y):
return y/(x+y)
x_cases = [ .25, .5, .75]
y_cases = [ .33, .5, .66]
outcomes = [('x wins', outcome_xwins, 'blue'),
('y wins', outcome_ywins, 'green')] #the name, calculation, and plotting color for categories of outcome
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_title('Small multiples: pie charts calculated based on (x,y)')
legend_once = True
#At each point in the plot we calculate everything about the outcomes.
for x in x_cases:
for y in y_cases:
size = payoff(x,y)
start_at = 0
for result in outcomes:
result_share = result[1](x,y)
xpt = [0] + np.cos(np.linspace(2*math.pi*start_at, 2*math.pi*(result_share+start_at), 10)).tolist()
ypt = [0] + np.sin(np.linspace(2*math.pi*start_at, 2*math.pi*(result_share+start_at), 10)).tolist()
xypt = zip(xpt, ypt)
ax.scatter(,[y], marker = (xypt, 0), s = size, facecolor = result[2], label=result[0])
start_at = start_at + result_share
if legend_once: ax.legend() #don't know why this isn't picking up the labels.
legend_once = False
plt.show()
···
<PHobson@...2792...> wrote:
...maybe dividing the markers up into 2, 3, or 4 sections would be useful too.
...
