Thanks again, Paul! Now I understand. I tried your example and I can see the effect of those commands.
On Tue, Feb 8, 2011 at 7:29 PM, Paul Ivanov <pivanov...@gmail.com> wrote: > Curiouslearn, on 2011-02-08 19:04, wrote: >> I wonder then what edgecolor, linewidth etc. change in case of axes.patch. > > They do what one would expect, but the spines were likely > preventing you from seeing this: > > ax = plt.subplot(1,1,1) > [s.set_visible(False) for s in ax.spines.values()] > ax.patch.set_linewidth(2) > ax.patch.set_edgecolor('red') > plt.draw() > > best, > -- > Paul Ivanov > 314 address only used for lists, off-list direct email at: > http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7 > > -----BEGIN PGP SIGNATURE----- > Version: GnuPG v1.4.10 (GNU/Linux) > > iEYEARECAAYFAk1R39oACgkQe+cmRQ8+KPd9xgCfQcoPu5wU9O/k5IqlsTlUpTKD > P6sAnjPfi4Dv1xxEDDB8WxVtiy7s1Oj9 > =/N2z > -----END PGP SIGNATURE----- > > ------------------------------------------------------------------------------ > The ultimate all-in-one performance toolkit: Intel(R) Parallel Studio XE: > Pinpoint memory and threading errors before they happen. > Find and fix more than 250 security defects in the development cycle. > Locate bottlenecks in serial and parallel code that limit performance. > http://p.sf.net/sfu/intel-dev2devfeb > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > ------------------------------------------------------------------------------ The ultimate all-in-one performance toolkit: Intel(R) Parallel Studio XE: Pinpoint memory and threading errors before they happen. Find and fix more than 250 security defects in the development cycle. Locate bottlenecks in serial and parallel code that limit performance. http://p.sf.net/sfu/intel-dev2devfeb _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users