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distrib > Fedora > 13 > i386 > by-pkgid > dc303dcad9fdd039290b4e78a58ed938 > files > 504

python-matplotlib-0.99.1.2-4.fc13.i686.rpm

"""
This example makes custom 'pie charts' as the markers for a scatter plotqu

Thanks to Manuel Metz for the example
"""
import math
import numpy as np
import matplotlib.pyplot as plt

# first define the ratios
r1 = 0.2      # 20%
r2 = r1 + 0.4 # 40%

# define some sizes of the scatter marker
sizes = [60,80,120]

# calculate the points of the first pie marker
#
# these are just the origin (0,0) +
# some points on a circle cos,sin
x = [0] + np.cos(np.linspace(0, 2*math.pi*r1, 10)).tolist()
y = [0] + np.sin(np.linspace(0, 2*math.pi*r1, 10)).tolist()
xy1 = zip(x,y)

# ...
x = [0] + np.cos(np.linspace(2*math.pi*r1, 2*math.pi*r2, 10)).tolist()
y = [0] + np.sin(np.linspace(2*math.pi*r1, 2*math.pi*r2, 10)).tolist()
xy2 = zip(x,y)

x = [0] + np.cos(np.linspace(2*math.pi*r2, 2*math.pi, 10)).tolist()
y = [0] + np.sin(np.linspace(2*math.pi*r2, 2*math.pi, 10)).tolist()
xy3 = zip(x,y)


fig = plt.figure()
ax = fig.add_subplot(111)
ax.scatter( np.arange(3), np.arange(3), marker=(xy1,0), s=sizes, facecolor='blue' )
ax.scatter( np.arange(3), np.arange(3), marker=(xy2,0), s=sizes, facecolor='green' )
ax.scatter( np.arange(3), np.arange(3), marker=(xy3,0), s=sizes, facecolor='red' )
plt.show()