matplotlib-devel Mailing List for matplotlib

On 2014年02月05日 02:26, Paul Hobson wrote:
> I noticed that when you offset the spines of an Axes object, the 
> labels, ticks, and ticklabels/formatting get mostly cleared. Is this 
> intentional and is there a way to prevent (or undo) it?
[...]
Paul, I may have encountered the same issue a few years ago. May I 
suggest that you look at the mailing list thread from that time [1], try 
the patch in the thread, and see whether your issue is resolved? This 
solution doesn't provide a work-around in your code, but it may fix the 
problem at the root. I took a brief look at the current state of 
spines.py, and I found only the same instances of "self.axis.cla()" that 
the patch changes to "self.axis.reset_ticks()".
Kind regards,
Stan
[1] 
http://matplotlib.1069221.n5.nabble.com/Spine-set-position-unexpectedly-clears-axis-td37865.html, 
29 Sep. 2010.

On 2014年03月24日 14:08, Stan West wrote:
> May I suggest that you look at the mailing list thread from that time 
> [1], try the patch in the thread, and see whether your issue is 
> resolved? This solution doesn't provide a work-around in your code, 
> but it may fix the problem at the root.
Paul, I just found the work-around that I used in my code. Define the 
following function:
 def set_spine_position(spine, position):
 """
 Set the spine's position without resetting an associated axis.
 
 As of matplotlib v. 1.0.0, if a spine has an associated axis, then
 spine.set_position() calls axis.cla(), which resets locators, formatters,
 etc. We temporarily replace that call with axis.reset_ticks(), which is
 sufficient for our purposes.
 """
 axis = spine.axis
 if axis is not None:
 cla = axis.cla
 axis.cla = axis.reset_ticks
 spine.set_position(position)
 if axis is not None:
 axis.cla = cla
(The mention of v. 1.0.0 in the docstring is just the version I was 
using at the time, not necessarily the earliest version with this 
issue.) Then replace method calls like "spine.set_position(pos)" with 
the function call "set_spine_position(spine, pos)". I hope this helps.

Hello all,
I currently have 14 open PR's (most of which have an associated
issue). If these could get reviewed/merged it would go along way to
cutting down the number of outstanding issues we have to get through
before we can cut 1.4.0
https://github.com/matplotlib/matplotlib/issues/created_by/tacaswell?direction=desc&labels=needs_review&milestone=10&page=1&sort=created&state=open
https://github.com/matplotlib/matplotlib/issues/created_by/tacaswell?direction=desc&labels=needs_review&milestone=9&page=1&sort=created&state=open
https://github.com/matplotlib/matplotlib/issues/created_by/tacaswell?direction=desc&labels=needs_review&milestone=7&page=1&sort=created&state=open
Tom
-- 
Thomas Caswell
tca...@gm...

I thought we fixed this one...
Seems like we haven't as there is an open issue for it:
https://github.com/matplotlib/matplotlib/issues/2842
On Sun, Mar 23, 2014 at 7:07 AM, Matthew Brett <mat...@gm...>wrote:
> Hi,
>
> On Sun, Mar 23, 2014 at 1:46 AM, Matthew Brett <mat...@gm...>
> wrote:
> > Hi,
> >
> > On Sat, Dec 14, 2013 at 12:28 PM, Matthew Brett <mat...@gm...>
> wrote:
> >> Hi,
> >>
> >> Prompted by Chris B, I just added matplotlib wheels building to the
> >> framework here:
> >>
> >> https://github.com/matthew-brett/mpl-osx-binaries
> >>
> >> Instructions for build in the README.
> >>
> >> Sorry - am In Cuba at the moment with very low internet bandwidth and
> >> can't upload the wheels, but they should be simple to build (or I
> >> messed up with the instructions),
> >
> > Following up on this one - I have built OSX wheels for python 2.7, 3.3
> > and 3.4 here:
> >
> > https://nipy.bic.berkeley.edu/scipy_installers/
> >
> > You should now be able to do:
> >
> > # upgrade to latest pip
> > pip install --upgrade pip
> > # get fully binary install of matplotlib
> > pip install --find-links=https://nipy.bic.berkeley.edu/scipy_installers
> > matplotlib
> >
> > I've tested on a bare 10.6 machine for Python 2.7, will test for 3.3
> > and 3.4 - but - could y'all give the installation a try and see if it
> > works for you? It will work as well into a virtualenv. There are
> > also numpy wheels there so you can get the full stack with that
> > command.
>
> Yes, they seem to work on bare 10.6 on all three python versions. I
> got one failure on python 3.4 but it didn't look related to the wheel:
>
> ======================================================================
> FAIL: matplotlib.tests.test_basic.test_override_builtins
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File
> "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/nose/case.py",
> line 198, in runTest
> self.test(*self.arg)
> File
> "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/matplotlib/tests/test_basic.py",
> line 38, in test_override_builtins
> assert not overridden
> nose.proxy.AssertionError:
> -------------------- >> begin captured stdout << ---------------------
> '__spec__' was overridden in globals().
>
> --------------------- >> end captured stdout << ----------------------
>
> Cheers,
>
> Matthew
>
>
> ------------------------------------------------------------------------------
> Learn Graph Databases - Download FREE O'Reilly Book
> "Graph Databases" is the definitive new guide to graph databases and their
> applications. Written by three acclaimed leaders in the field,
> this first edition is now available. Download your free book today!
> http://p.sf.net/sfu/13534_NeoTech
> _______________________________________________
> Matplotlib-devel mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>