<phob...@geosyntec.com> wrote: > ...maybe dividing the markers up into 2, 3, or 4 sections would be > useful too. > ...
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([x],[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() ------------------------------------------------------------------------------ SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users