In the solution I gave, CirclePolygon has a resolution argument for
number of vertices to approximate the circle (default=20). You could
increase that value to some more appropriate level:
import matplotlib
from matplotlib.patches import CirclePolygon
from matplotlib.collections import PolyCollection
import pylab
fig=pylab.figure()
ax=fig.add_subplot(111)
resolution = 50 # the number of vertices
N = 20
x = pylab.rand(N)
y = pylab.rand(N)
radii = 0.1*pylab.rand(N)
colors = 100*pylab.rand(N)
verts = []
for x1,y1,r in zip(x, y, radii):
circle = CirclePolygon((x1,y1), r, resolution)
verts.append(circle.get_verts())
p = PolyCollection(verts, cmap=matplotlib.cm.jet)
p.set_array(pylab.array(colors))
ax.add_patch(p)
pylab.colorbar(p)
ax.axis('equal')
pylab.show()
-----Original Message-----
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of
sidimok
Sent: Thursday, September 20, 2007 4:59 AM
To: [email protected]
Subject: Re: [Matplotlib-users] Drawing filled circles (discs)
Mika, David P (GE, Research) wrote:
>
> How about this solution? I'm a complete newbe, but this seems to do
> the trick. I didn't see a CircleCollection so I used CirclePolygon to
> generate vertices for a circle; these I grab and toss into a
> PolyCollection. Enjoy, Dave
>
>
Hi all!
Thank you very much indeed for the help, both solutions work like a
charm.
However Dave's one gives rough cirlces, approximated by polygones, which
is not very accurate for my buisness. May I ask how to create a
circleCollection as Jouni "The Expert" proposed?
You can find below one of my plottings rendered by Jouni's first trick.
http://www.nabble.com/file/p12793350/image.png
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View this message in context:
http://www.nabble.com/Drawing-filled-circles-%28discs%29-tf4441651.html#
a12793350
Sent from the matplotlib - users mailing list archive at Nabble.com.
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