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Re: [matplotlib-devel] Enhancement to matplotlib's PyQt4 backend

From: Darren D. <dsd...@gm...> - 2009年07月02日 13:28:31
Hi Pierre,
On Sat, Jun 6, 2009 at 11:49 AM, Pierre Raybaut <co...@py...>wrote:
> 2009年4月28日 Dave Peterson <dpe...@en...>:
> > Darren Dale wrote:
> >
> > 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
> >
> > 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
> >
> >
>
> Hi all,
>
> Dave, you are absolutely right.
>
> Last week-end, I found myself surfing on PyQt's website and I told to
> myself: what about re-reading the license? (always a pleasure) And
> surprisingly, I found out that anyone using the GPL version of PyQt
> can release source code under a very permissive license (like MIT or
> BSD) thanks to the PyQt-GPL Exception, as long as PyQt itself is not
> part of the distributed package (otherwise the whole package has to be
> licensed under GPL) - and with other little restrictions. It was a
> surprise because I've read here and there a lot of things on PyQt
> license and the general idea was "if you write PyQt code without the
> commercial license, your code *must* be licensed under GPL" - I can
> tell now that it's not true (to be absolutely certain about it, I even
> asked to Phil Thompson to confirm this, and he did).
>
> So, I switched all the code I was referring to in my original e-mail
> to MIT license.
> I guess now it could be integrated to matplotlib Qt4 backend?
>
> formlayout (generate option dialogs):
> http://code.google.com/p/formlayout/
>
> pydee (IDE which integrates matplotlib and the option dialog):
> http://code.google.com/p/pydee/
> Meanwhile, thanks to the brand new Google-code Mercurial support, you
> may browse the source code if you like:
>
> http://code.google.com/p/pydee/source/browse/pydeelib/widgets/figureoptions.py
>
Do you have the customize image in svg, and do you have the right to release
it under the terms of the matplotlib license? Would you be willing to
provide feedback in the future if problems are reported?
Darren

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