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.
------------------------------------------------------------------------------
Open Source Business Conference (OSBC), March 24-25, 2009, San Francisco, CA
-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
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
