I recommend you to use the Wedge class in matplotlib.patches.
from matplotlib.patches import Wedge
# draw a wedge in the axes coordinate. (0.5, 0.5) in axes coordinate
corresponds to (0,0) in polar coordinate.
trans = ax.transAxes
center, R = (0.5, 0.5), 0.5
twopi=360.
pie1 = Wedge(center, R, 0, r1*twopi, fc="g")
pie2 = Wedge(center, R, r1*twopi, r2*twopi, fc="y")
pie3 = Wedge(center, R, r2*twopi, twopi, fc="r")
for mypie in [pie1, pie2, pie3]:
mypie.set_transform(trans)
mypie.set_alpha(0.25)
mypie.set_ec("none")
ax.add_patch(mypie)
-JJ
On Thu, Feb 26, 2009 at 5:00 PM, bubye <joe.hr...@gmail.com> wrote:
>
> I made a little more progress, but i'm not sure i'm doing this the right way.
> Suggestions?
>
> from pylab import *
> import numpy as np
>
> #generate random temperature data
> snp=[]
> for i in range(0,65):
> snp.append(np.random.randint(35,122))
>
> #hide the labels. I don't want them.
> rc('xtick', labelsize=0)
> rc('ytick', labelsize=0)
>
> fig=figure(figsize=(8,8),facecolor='0.0')
>
> ax = fig.add_subplot(111,polar=True,frameon=False)
> tempTuple=array(snp)
> r = tempTuple/10
> theta = ((tempTuple*2.9508)*pi)/180
> area = r**2*(tempTuple/5.4)
> colors = theta
>
> #this is the fancy green,yellow,red background
> #it's actually a scatter plot that sits behind (zorder)
> #of the rest of the scatter plots.
>
> #radius
> r1 = 0.7 # 20%
> r2 = r1 + 0.2 # 40%
>
> # define some sizes of the scatter marker
> sizes = [55000]
> x = [0] + np.cos(np.linspace(0, 2*math.pi*r1, 100)).tolist()
> y = [0] + np.sin(np.linspace(0, 2*math.pi*r1, 100)).tolist()
> xy1 = zip(x,y)
>
> x = [0] + np.cos(np.linspace(2*math.pi*r1, 2*math.pi*r2, 100)).tolist()
> y = [0] + np.sin(np.linspace(2*math.pi*r1, 2*math.pi*r2, 100)).tolist()
> xy2 = zip(x,y)
>
> x = [0] + np.cos(np.linspace(2*math.pi*r2, 2*math.pi, 100)).tolist()
> y = [0] + np.sin(np.linspace(2*math.pi*r2, 2*math.pi, 100)).tolist()
> xy3 = zip(x,y)
>
> ax.scatter([0,0,0], [0,0,0], marker=(xy1,0), s=sizes,
> facecolor='green',alpha=.25,zorder=1)
> ax.scatter([0,0,0], [0,0,0], marker=(xy2,0), s=sizes, facecolor='yellow'
> ,alpha=.25,zorder=1)
> ax.scatter([0,0,0], [0,0,0], marker=(xy3,0), s=sizes,
> facecolor='red',alpha=.25,zorder=1)
> ax.scatter(theta, r, c=colors, s=area,zorder=2)
> ax.grid(False)
>
> show()
>
> --
> View this message in context:
> http://www.nabble.com/polar-graph-tp22230232p22234721.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
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-OSBC tackles the biggest issue in open source: Open Sourcing the Enterprise
-Strategies to boost innovation and cut costs with open source participation
-Receive a $600 discount off the registration fee with the source code: SFAD
http://p.sf.net/sfu/XcvMzF8H
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