Thanks. The subslicing optimization added in 0.99 was truncating the
polar path. Subslicing has been made more "cautious" now and will only
be applied when the axes are rectilinear and non-logarithmic.
Interestingly, there was already a test in the test framework for this
bug, but the baseline image was wrong :)
Mike
Sandro Tosi wrote:
> Hi all,
> with the simple code here below
>
> $ ipython -pylab
>
> In [1]: import numpy as np
>
> In [2]: theta = np.arange(0., 2., 1./180.)*np.pi
>
> In [3]: plt.polar(3*theta, theta/5)
>
> I obtain the attached images with 0.98.5.3 and 0.99.{0.1rc1} (didn't
> have time to test against SVN).
>
> AFAIUI, the 0.98.5.3 should be the correct behavior, so in 0.99.x
> there's a regression.
>
> Regards,
>
>
> ------------------------------------------------------------------------
>
>
> ------------------------------------------------------------------------
>
> ------------------------------------------------------------------------
>
> ------------------------------------------------------------------------------
> Come build with us! The BlackBerry® Developer Conference in SF, CA
> is the only developer event you need to attend this year. Jumpstart your
> developing skills, take BlackBerry mobile applications to market and stay
> ahead of the curve. Join us from November 9-12, 2009. Register now!
> http://p.sf.net/sfu/devconf
> ------------------------------------------------------------------------
>
> _______________________________________________
> Matplotlib-devel mailing list
> Matplotlib-devel@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>
--
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA
------------------------------------------------------------------------------
Come build with us! The BlackBerry® Developer Conference in SF, CA
is the only developer event you need to attend this year. Jumpstart your
developing skills, take BlackBerry mobile applications to market and stay
ahead of the curve. Join us from November 9-12, 2009. Register now!
http://p.sf.net/sfu/devconf
_______________________________________________
Matplotlib-devel mailing list
Matplotlib-devel@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
