pcolor runs directly on polar plots just fine. No need to convert polar
to cartesian outside of matplotlib.
#!/usr/bin/env python
from pylab import *
import numpy as np
# Sampling 60 points in both dimensions
T = linspace(0, np.pi * 2, 60)
R = linspace(0, 1.0, 60)
Z = rand(60,60)
# Create a polar axes
ax = subplot(111, projection='polar')
# pcolor plot onto it
c = ax.pcolor(T, R, Z)
title('default: no edges')
show()
Mike
On 06/15/2010 07:08 PM, Benjamin Root wrote:
Stephane,
First off, you probably do not want to use a surface plot. Rather,
pcolor might be more appropriate.
In addition, if you can take the azimuth-range coordinates and convert
that into x-y coordinates, you can then plot a pcolor using just
that. The code would look something like so (assuming some function
polar2xy exists):
# azimuth, r, vals, x, and y are all the same shape
x, y = polar2xy(azimuth, r)
plt.pcolor(x, y, vals)
plt.show()
Once that is working sufficiently, then you will have to modify the
code a bit to specify the colormap.
I hope that gets you started.
Ben Root
On Tue, Jun 15, 2010 at 10:17 AM, Stephane GONAUER
<stephane.gona...@sofrelog.com <mailto:stephane.gona...@sofrelog.com>>
wrote:
Hi,
After reading documentations and the matplotlib example I haven’t
found a way to graph the plot I want.
I am trying to display a radar video (one turn of the antenna at a
time). As such I need to plot a polar surface in 2D with a
colormap indicating the video intensity.
My data input is simply a file where intensity are logged along
rho and theta
The nearest example I found in the documentation is the 3d-surface
plot but I need to have it in 2D
Can you provide me with some idea/pointers ?
Has it been already tried ?
Best Regards,
Stéphane
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Space Telescope Science Institute
Baltimore, Maryland, USA
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