I don't see any elegant way to do that.
The easiest way I can think of is to use a derived line2d class.
Something like below will work. Others may have better ideas.
import matplotlib.lines
class Line2DNoInterpolation(matplotlib.lines.Line2D):
def recache(self):
matplotlib.lines.Line2D.recache(self)
self._transformed_path.get_transformed_path_and_affine = \
self._transformed_path.get_transformed_points_and_affine
ax = subplot(111, projection="polar")
r = np.arange(0, 1.0, 0.1)
theta = 2*np.pi*r
p2 = Line2DNoInterpolation(theta, r, color='r', lw=1)
ax.add_line(p2)
-JJ
On Thu, Jan 29, 2009 at 12:20 AM, jamesf0 <jame...@utas.edu.au> wrote:
>
> Hi,
>
> Im having some trouble with this "seemingly" simple task of plotting
> straight lines/fitted curves on a polar plot.
>
> I am trying to create a plot that resembles the layout of the chart seen
> below:
>
> http://www.nabble.com/file/p21721073/brisbane.png
>
>
>
> So far I have only been able to plot data like so:
>
> http://www.nabble.com/file/p21721073/AzvAlt.png
>
>
> The blue line should be similar to the bottom line of the first example
> plot. The line would ultimately be formed by fitting a straight line/curve
> through the points, instead of the way matplotlib is plotting.
>
> I am plotting tuples of values (az and alt), and plotting using:
>
>
> ax.plot(az, alt, 'b')
> --
> View this message in context:
> http://www.nabble.com/How-to-plot-straight-lines-on-polar-plots-tp21721073p21721073.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
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