matplotlib-devel Mailing List for matplotlib

This patch is now committed to the trunk (r7068).
-JJ
On Sat, Apr 25, 2009 at 8:29 AM, Ken Schutte <kts...@gm...> wrote:
> Yeah, that seems to work! thanks a lot,
> Ken
>
> On Fri, Apr 24, 2009 at 5:21 PM, Jae-Joon Lee <lee...@gm...> wrote:
>> ps backend, when usetex=True, uses latex with psfrag package to
>> generate the output (with some extra steps).
>> It seems that the bounding box information is not correctly recovered
>> during this process.
>> I first thought that it would be quite difficult to get this correct,
>> however the attached (relatively simple) patch seems to work fine.
>>
>> Ken, can you try the patch and see if it works?
>>
>> -JJ
>>
>>
>>
>>
>> On Thu, Apr 23, 2009 at 2:25 PM, Ken Schutte <kts...@gm...> wrote:
>>> I've been trying to track down some strange behavior I was getting,
>>> and I think narrowed it down to some code that I'll paste below.
>>>
>>> I'm trying to write to .eps files, and when I have usetex=True,
>>> something is screwed up with the padding on the left, and eventually
>>> the whole image is just white.
>>>
>>> If I run this script, the 'testA-*.eps' look good, but 'testB-*' does
>>> not. The same problem happens even if I remove the ticklabels.
>>>
>>> Any tips would be appreciated.
>>> thanks,
>>> Ken
>>>
>>>
>>>
>>> ------------------------------------------------
>>> import matplotlib.pyplot as plt
>>> import numpy as np
>>> from matplotlib import rc
>>>
>>> fig = plt.figure()
>>> ax = fig.add_axes([0,0,1,1],frameon=False)
>>>
>>> X = np.tile(np.arange(500),(10,1)) # (10,500) shape
>>>
>>> ax.imshow(X,interpolation='nearest',aspect='auto')
>>>
>>> def go(name):
>>>
>>>  for d in (1,2,3,4):
>>>
>>>    w = d*5
>>>    h = d
>>>
>>>    fig.set_size_inches(w,h)
>>>    fig.savefig("%s-%d.eps" % (name,d))
>>>
>>> rc('text', usetex=False)
>>> go("testA")
>>>
>>> rc('text', usetex=True)
>>> go("testB")
>>>
>>> ------------------------------------------------------------------------------
>>> Crystal Reports &#45; New Free Runtime and 30 Day Trial
>>> Check out the new simplified licensign option that enables unlimited
>>> royalty&#45;free distribution of the report engine for externally facing
>>> server and web deployment.
>>> http://p.sf.net/sfu/businessobjects
>>> _______________________________________________
>>> Matplotlib-devel mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>>>
>>
>

Darren Dale wrote:
> On Tue, Apr 28, 2009 at 12:19 PM, Pierre Raybaut <co...@py... 
> <mailto:co...@py...>> wrote:
>
> 2009年4月28日 John Hunter <jd...@gm... <mailto:jd...@gm...>>:
> >
> >
> > On Tue, Apr 28, 2009 at 8:18 AM, Pierre Raybaut
> <co...@py... <mailto:co...@py...>>
> > wrote:
> >>
> >> Hi all,
> >>
> >> I would like to contribute to matplotlib with this enhancement
> for the
> >> PyQt4 backend: the idea is to add a toolbar button to configure
> figure
> >> options (axes, curves, ...).
> >>
> >> It's based on a tiny module called formlayout to generate PyQt4
> form
> >> dialog automatically.
> >>
> >> Some screenshots:
> >> http://code.google.com/p/formlayout/
> >>
> >> So, if you're interested (all the following is GPL2):
> >>
> >> *matplotlib patch*
> >>
> >> In FigureManagerQT.__init__, added:
> >> self.canvas.axes = self.canvas.figure.add_subplot(111)
> >>
> >> In NavigationToolbar2QT._init_toolbar, added:
> >> a = self.addAction(self._icon("customize.png"), 'Customize',
> >> self.edit_parameters)
> >> a.setToolTip('Edit curves line and axes parameters')
> >>
> >> Added the following method in NavigationToolbar2QT:
> >> def edit_parameters(self):
> >> from figureoptions import figure_edit
> >> figure_edit(self.canvas, self)
> >>
> >> *additionnal modules and data*
> >>
> >> formlayout.py (http://code.google.com/p/formlayout/)
> >> figureoptions.py (http://code.google.com/p/PyQtShell/)
> >> customize.png (http://code.google.com/p/PyQtShell/)
> >
> > Hi Pierre -- this looks very nice (the last link is broken
> though , I get a
> > 404 error). We would be happy to include this in matplotlib or as a
>
> Here is the last link:
> http://code.google.com/p/pyqtshell/
>
> > toolkit. To contribute it to to mpl, the license needs to be
> matplotlib
> > compatible
> >
> (http://matplotlib.sourceforge.net/devel/coding_guide.html#licenses)
> but we
> > have more licensing flexibility in a toolkit, though we prefer
> to keep
> > everything BSD compatible where possible. And of course you
> would need to
> > agree to maintain it :-) but I think many users would appreciate
> a GUI plot
> > configuration dialog.
>
> I was not aware of this license restriction in matplotlib... I fully
> understand the motivation, of course, but still: I wrote all this on
> my free time which means no PyQt4 commercial license, so it can't be
> anything but GPL. Sorry...
>
>
> I think you have overlooked a subtlety of PyQt4's license. The author 
> of PyQt4 wrote on the enthought-dev mailing list:
>
> "PyQt is GPL but has exceptions that allow it to be used with BSD code -
> hence it's Ok for TraitsBackendQt to be BSD.
>
> However, the exception imposes additional conditions which, to all intents
> and purposes, infects the code with the GPL. To be fair to people that
> should be made clear in any text.
>
> It's still a good idea for TraitsBackendQt to use a BSD license because it
> allows commercial (ie. non-GPL) users to use it without problems."
>
> Darren
I think it might be worth contacting the PyQt folks (Phil Thompson) 
about this. I think there might be some differences here because Phil 
was the author of TraitsBackendQt and thus his efforts didn't quite fall 
under the "develop under a free license, your results needs to be GPL" 
clause Qt/PyQt have in their licensing.
-- Dave

On Tue, Apr 28, 2009 at 12:19 PM, Pierre Raybaut <co...@py...>wrote:
> 2009年4月28日 John Hunter <jd...@gm...>:
> >
> >
> > On Tue, Apr 28, 2009 at 8:18 AM, Pierre Raybaut <co...@py...>
> > wrote:
> >>
> >> Hi all,
> >>
> >> I would like to contribute to matplotlib with this enhancement for the
> >> PyQt4 backend: the idea is to add a toolbar button to configure figure
> >> options (axes, curves, ...).
> >>
> >> It's based on a tiny module called formlayout to generate PyQt4 form
> >> dialog automatically.
> >>
> >> Some screenshots:
> >> http://code.google.com/p/formlayout/
> >>
> >> So, if you're interested (all the following is GPL2):
> >>
> >> *matplotlib patch*
> >>
> >> In FigureManagerQT.__init__, added:
> >> self.canvas.axes = self.canvas.figure.add_subplot(111)
> >>
> >> In NavigationToolbar2QT._init_toolbar, added:
> >> a = self.addAction(self._icon("customize.png"), 'Customize',
> >> self.edit_parameters)
> >> a.setToolTip('Edit curves line and axes parameters')
> >>
> >> Added the following method in NavigationToolbar2QT:
> >> def edit_parameters(self):
> >> from figureoptions import figure_edit
> >> figure_edit(self.canvas, self)
> >>
> >> *additionnal modules and data*
> >>
> >> formlayout.py (http://code.google.com/p/formlayout/)
> >> figureoptions.py (http://code.google.com/p/PyQtShell/)
> >> customize.png (http://code.google.com/p/PyQtShell/)
> >
> > Hi Pierre -- this looks very nice (the last link is broken though , I get
> a
> > 404 error). We would be happy to include this in matplotlib or as a
>
> Here is the last link:
> http://code.google.com/p/pyqtshell/
>
> > toolkit. To contribute it to to mpl, the license needs to be matplotlib
> > compatible
> > (http://matplotlib.sourceforge.net/devel/coding_guide.html#licenses) but
> we
> > have more licensing flexibility in a toolkit, though we prefer to keep
> > everything BSD compatible where possible. And of course you would need
> to
> > agree to maintain it :-) but I think many users would appreciate a GUI
> plot
> > configuration dialog.
>
> I was not aware of this license restriction in matplotlib... I fully
> understand the motivation, of course, but still: I wrote all this on
> my free time which means no PyQt4 commercial license, so it can't be
> anything but GPL. Sorry...
>
I think you have overlooked a subtlety of PyQt4's license. The author of
PyQt4 wrote on the enthought-dev mailing list:
"PyQt is GPL but has exceptions that allow it to be used with BSD code -
hence it's Ok for TraitsBackendQt to be BSD.
However, the exception imposes additional conditions which, to all intents
and purposes, infects the code with the GPL. To be fair to people that
should be made clear in any text.
It's still a good idea for TraitsBackendQt to use a BSD license because it
allows commercial (ie. non-GPL) users to use it without problems."
Darren

2009年4月28日 John Hunter <jd...@gm...>:
>
>
> On Tue, Apr 28, 2009 at 8:18 AM, Pierre Raybaut <co...@py...>
> wrote:
>>
>> Hi all,
>>
>> I would like to contribute to matplotlib with this enhancement for the
>> PyQt4 backend: the idea is to add a toolbar button to configure figure
>> options (axes, curves, ...).
>>
>> It's based on a tiny module called formlayout to generate PyQt4 form
>> dialog automatically.
>>
>> Some screenshots:
>> http://code.google.com/p/formlayout/
>>
>> So, if you're interested (all the following is GPL2):
>>
>> *matplotlib patch*
>>
>> In FigureManagerQT.__init__, added:
>> self.canvas.axes = self.canvas.figure.add_subplot(111)
>>
>> In NavigationToolbar2QT._init_toolbar, added:
>> a = self.addAction(self._icon("customize.png"), 'Customize',
>> self.edit_parameters)
>> a.setToolTip('Edit curves line and axes parameters')
>>
>> Added the following method in NavigationToolbar2QT:
>> def edit_parameters(self):
>>  from figureoptions import figure_edit
>>  figure_edit(self.canvas, self)
>>
>> *additionnal modules and data*
>>
>> formlayout.py (http://code.google.com/p/formlayout/)
>> figureoptions.py (http://code.google.com/p/PyQtShell/)
>> customize.png (http://code.google.com/p/PyQtShell/)
>
> Hi Pierre -- this looks very nice (the last link is broken though , I get a
> 404 error). We would be happy to include this in matplotlib or as a
Here is the last link:
http://code.google.com/p/pyqtshell/
> toolkit. To contribute it to to mpl, the license needs to be matplotlib
> compatible
> (http://matplotlib.sourceforge.net/devel/coding_guide.html#licenses) but we
> have more licensing flexibility in a toolkit, though we prefer to keep
> everything BSD compatible where possible.  And of course you would need to
> agree to maintain it :-) but I think many users would appreciate a GUI plot
> configuration dialog.
I was not aware of this license restriction in matplotlib... I fully
understand the motivation, of course, but still: I wrote all this on
my free time which means no PyQt4 commercial license, so it can't be
anything but GPL. Sorry...
Pierre
>
> JDH
>

On Tue, Apr 28, 2009 at 10:59 AM, Olivier Feys <oli...@gm...>wrote:
> 0.98.5.2
>
I also am not seeing it on the 0.98 branch, so the good news is that if we
can ever get this release out as planned it should be fixed on the next
release. Or if you are happy with svn and a compiler, you can upgrade from
svn
 http://matplotlib.sourceforge.net/faq/installing_faq.html#install-svn
JDH

<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
 <meta content="text/html;charset=ISO-8859-1" http-equiv="Content-Type">
</head>
<body bgcolor="#ffffff" text="#666666">
0.98.5.2<br>
<br>
John Hunter wrote:
<blockquote
 cite="mid:88e...@ma..."
 type="cite"><br>
 <br>
 <div class="gmail_quote">On Tue, Apr 28, 2009 at 3:18 AM, Olivier
Feys <span dir="ltr">&lt;<a moz-do-not-send="true"
 href="mailto:oli...@gm...">oli...@gm...</a>&gt;</span>
wrote:<br>
 <blockquote class="gmail_quote"
 style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
 <div bgcolor="#ffffff" text="#666666"><font
 face="Helvetica, Arial, sans-serif">Hi,<br>
 <br>
I found a bug with the grid after passing by a log scale.<br>
Here is the sample code reproducing the bug : <br>
 <br>
 </font>
 <blockquote><tt>from pylab import *<br>
 <br>
plot(range(50),range(50))<br>
draw()<br>
gca().set_yscale('log')<br>
draw()<br>
gca().xaxis.grid()<br>
draw()<br>
gca().set_yscale('linear')<br>
draw()<br>
show()</tt><br>
 </blockquote>
 <br>
 <font face="Helvetica, Arial, sans-serif">The grid on the xaxis
disappears after setting back the yaxis to linear.</font><br>
 <font face="Helvetica, Arial, sans-serif">Please let me know i</font></div>
 </blockquote>
 </div>
 <br>
 <br>
I am not seeing this with svn matplotlib -- what version are you using?<br>
 <br>
&nbsp; <a moz-do-not-send="true"
 href="http://matplotlib.sourceforge.net/faq/troubleshooting_faq.html#report-a-problem">http://matplotlib.sourceforge.net/faq/troubleshooting_faq.html#report-a-problem</a><br>
&nbsp; <a moz-do-not-send="true"
 href="http://matplotlib.sourceforge.net/faq/troubleshooting_faq.html#obtaining-matplotlib-version">http://matplotlib.sourceforge.net/faq/troubleshooting_faq.html#obtaining-matplotlib-version</a><br>
 <br>
JDH<br>
</blockquote>
<br>
</body>
</html>

On Tue, Apr 28, 2009 at 3:18 AM, Olivier Feys <oli...@gm...>wrote:
> Hi,
>
> I found a bug with the grid after passing by a log scale.
> Here is the sample code reproducing the bug :
>
> from pylab import *
>
> plot(range(50),range(50))
> draw()
> gca().set_yscale('log')
> draw()
> gca().xaxis.grid()
> draw()
> gca().set_yscale('linear')
> draw()
> show()
>
>
> The grid on the xaxis disappears after setting back the yaxis to linear.
> Please let me know i
>
I am not seeing this with svn matplotlib -- what version are you using?
http://matplotlib.sourceforge.net/faq/troubleshooting_faq.html#report-a-problem
http://matplotlib.sourceforge.net/faq/troubleshooting_faq.html#obtaining-matplotlib-version
JDH

On Tue, Apr 28, 2009 at 8:18 AM, Pierre Raybaut <co...@py...>wrote:
> Hi all,
>
> I would like to contribute to matplotlib with this enhancement for the
> PyQt4 backend: the idea is to add a toolbar button to configure figure
> options (axes, curves, ...).
>
> It's based on a tiny module called formlayout to generate PyQt4 form
> dialog automatically.
>
> Some screenshots:
> http://code.google.com/p/formlayout/
>
> So, if you're interested (all the following is GPL2):
>
> *matplotlib patch*
>
> In FigureManagerQT.__init__, added:
> self.canvas.axes = self.canvas.figure.add_subplot(111)
>
> In NavigationToolbar2QT._init_toolbar, added:
> a = self.addAction(self._icon("customize.png"), 'Customize',
> self.edit_parameters)
> a.setToolTip('Edit curves line and axes parameters')
>
> Added the following method in NavigationToolbar2QT:
> def edit_parameters(self):
> from figureoptions import figure_edit
> figure_edit(self.canvas, self)
>
> *additionnal modules and data*
>
> formlayout.py (http://code.google.com/p/formlayout/)
> figureoptions.py (http://code.google.com/p/PyQtShell/)
> customize.png (http://code.google.com/p/PyQtShell/)
Hi Pierre -- this looks very nice (the last link is broken though , I get a
404 error). We would be happy to include this in matplotlib or as a
toolkit. To contribute it to to mpl, the license needs to be matplotlib
compatible (
http://matplotlib.sourceforge.net/devel/coding_guide.html#licenses) but we
have more licensing flexibility in a toolkit, though we prefer to keep
everything BSD compatible where possible. And of course you would need to
agree to maintain it :-) but I think many users would appreciate a GUI plot
configuration dialog.
JDH

Hi all,
I would like to contribute to matplotlib with this enhancement for the
PyQt4 backend: the idea is to add a toolbar button to configure figure
options (axes, curves, ...).
It's based on a tiny module called formlayout to generate PyQt4 form
dialog automatically.
Some screenshots:
http://code.google.com/p/formlayout/
So, if you're interested (all the following is GPL2):
*matplotlib patch*
In FigureManagerQT.__init__, added:
self.canvas.axes = self.canvas.figure.add_subplot(111)
In NavigationToolbar2QT._init_toolbar, added:
a = self.addAction(self._icon("customize.png"), 'Customize',
self.edit_parameters)
a.setToolTip('Edit curves line and axes parameters')
Added the following method in NavigationToolbar2QT:
def edit_parameters(self):
 from figureoptions import figure_edit
 figure_edit(self.canvas, self)
*additionnal modules and data*
formlayout.py (http://code.google.com/p/formlayout/)
figureoptions.py (http://code.google.com/p/PyQtShell/)
customize.png (http://code.google.com/p/PyQtShell/)
cheers,
Pierre

<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
</head>
<body bgcolor="#ffffff" text="#666666">
<font face="Helvetica, Arial, sans-serif">Hi,<br>
<br>
I found a bug with the grid after passing by a log scale.<br>
Here is the sample code reproducing the bug : <br>
<br>
</font>
<blockquote><tt>from pylab import *<br>
 <br>
plot(range(50),range(50))<br>
draw()<br>
gca().set_yscale('log')<br>
draw()<br>
gca().xaxis.grid()<br>
draw()<br>
gca().set_yscale('linear')<br>
draw()<br>
show()</tt><br>
</blockquote>
<br>
<font face="Helvetica, Arial, sans-serif">The grid on the xaxis
disappears after setting back the yaxis to linear.</font><br>
<font face="Helvetica, Arial, sans-serif">Please let me know if this is
the right place for posting this kind of message. If not, where can I
do that ?<br>
<br>
Thanks <br>
<br>
Olivier<br>
</font>
</body>
</html>

On Sun, Apr 26, 2009 at 18:08, John Hunter <jd...@gm...> wrote:
> On Sun, Apr 26, 2009 at 9:05 AM, Sandro Tosi <mo...@de...> wrote:
>>
>> Hi!
>> some days ago there was a thread about new matplotlib release, but it
>> seems there is some problem about windows binary pacakges preparation.
>>
>> Is this situation evolved a bit? Would it be considerable to do a
>> source-only release (there are a lot of changes in the svn that our
>> users would like to see), and then work on binary packages?
>
> Yes, we had problems with both the OSX and win32 builds, which we have not
> resolved yet unfortunately. The problem with a "source only" release is
> that on the sf download site, users will be directed to the latest release,
> and there will be no binaries available there. I suppose we could reupload
> the old binaries there, but I would prefer to et these issues resolved. I
Ah, I see.
> have had a crazy few weeks (first vacation, then my mom broke both her arms
> on vavation with me requiring surgery on both sides, and I've been spending
> time with her helping her recover), and I am just starting to get back into
> normal life here (meaning I'm behind on non-mpl things as well)
Ohh, sorry to hear that! take your time.
Cheers,
-- 
Sandro Tosi (aka morph, morpheus, matrixhasu)
My website: http://matrixhasu.altervista.org/
Me at Debian: http://wiki.debian.org/SandroTosi