Re: [Matplotlib-users] Trying to migrate to Python 3.2, Matplotlib 1.2.1

2013-04-20 Thread John Ladasky
On 04/19/2013 03:26 AM, Mark Lawrence wrote:
 On 19/04/2013 04:03, John Ladasky wrote:

 Reading more, I realize that the way I was getting GUI output previously
 (with Python 2.7 and Matplotlib 1.1) was through wxPython.
 Unfortunately, it appears that wxPython's star is fading, and a Python
 3-compatible version will not be written.  In fact, wxPython hasn't
 released a new version in nine months.

 I'm surprised that you say this as months of work have gone into
 updating wxPython to make in Python 3 compatible.  Please see
 http://wxpython.org/Phoenix/snapshot-builds/ for the latest and greatest.

Well, that is good news.  Just before my last message to this list, I 
visited wxpython.org, as I have done many times over the years. I saw no 
announcement that there would be a Python 3.x-compatible version.  You 
would think that the developers would want everyone to know!


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Re: [Matplotlib-users] Trying to migrate to Python 3.2, Matplotlib 1.2.1

2013-04-19 Thread C M
On Thu, Apr 18, 2013 at 11:03 PM, John Ladasky
john_lada...@sbcglobal.netwrote:

 .
 Reading more, I realize that the way I was getting GUI output previously
 (with Python 2.7 and Matplotlib 1.1) was through wxPython.
 Unfortunately, it appears that wxPython's star is fading, and a Python
 3-compatible version will not be written.  In fact, wxPython hasn't
 released a new version in nine months.


wxPython is alive and well and the newest developmental version of it
(Phoenix) runs on Python 3. It should be released fairly soon.  One of
the wxPython list regulars mentioned getting his software to run with it,
with a few minor issues, just six days ago.  So you might want to give
Phoenix a try.

Che
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Re: [Matplotlib-users] Trying to migrate to Python 3.2, Matplotlib 1.2.1

2013-04-19 Thread Sterling Smith
I have used the TkAgg backend in python2, installing the dependencies by hand.  
Is this backend not available for python3?

-Sterling

On Apr 18, 2013, at 8:03PM, John Ladasky wrote:

 Thanks to both Francesco Montesano and Benjamin Root.  I have done some 
 reading.  And I have made some progress, though I am not quite where I 
 want to be yet.
 
 So the problem appears to be that the only backend for which I had 
 suitable Python 3 libraries was agg.  It only requires libpng, which I 
 have.  I can render a Matplotlib canvas, but it appears that the only 
 output that agg offers is in the form of PNG files to disk.  I cannot 
 create a live window on the screen.
 
 Reading more, I realize that the way I was getting GUI output previously 
 (with Python 2.7 and Matplotlib 1.1) was through wxPython.  
 Unfortunately, it appears that wxPython's star is fading, and a Python 
 3-compatible version will not be written.  In fact, wxPython hasn't 
 released a new version in nine months.
 
 The other choices for Matplotlib GUI output on Linux appear to be 
 through GTK, PySide, and PyQt.  I am not familiar with GTK, but I know 
 that it is widely-used.  Also, GTK appears to be Python 3-compatible, 
 and so that is where I need to go.
 
 I'm going through a trial and error process.  Unfortunately, the names 
 of the repositories in Ubuntu are not very helpful.  I installed a few 
 GTK and python-gtk related packages that I thought were relevant.  On my 
 first build attempt I got no errors, but also, I didn't get a GTKAgg 
 backend.  Upon re-reading, I saw that I should modify matplotlib's 
 setup.cfg file to force a GTK build attempt, and to report errors if it 
 fails. That's what it does.  In the optional backend dependencies 
 section I am not seeing any GTK libraries listed, even though I have 
 installed python-gtk2-dev (2.24.0), python-gobject-2-dev (2.28.6), 
 libgtk2.0-dev (2.24.10), libglib2.0-dev (2.32.3), python-gi-dev (3.2.2), 
 python-gobject-dev (3.2.2), python3-gi (3.2.2), and a few DOZEN packages 
 on which these depend.
 
 If anyone knows the way forward from here, I would appreciate your 
 advice.  Thanks again.
 
 --
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Re: [Matplotlib-users] Trying to migrate to Python 3.2, Matplotlib 1.2.1

2013-04-19 Thread Francesco Montesano
Hi John,

on Kubuntu Precise the standard repo has at least:

python3-pyqt4
python3-pyside
python3-tk

The first two should enable Qt4Agg backend, the last TkAgg

Fra


2013/4/19 Sterling Smith smit...@fusion.gat.com

 I have used the TkAgg backend in python2, installing the dependencies by
 hand.  Is this backend not available for python3?

 -Sterling

 On Apr 18, 2013, at 8:03PM, John Ladasky wrote:

  Thanks to both Francesco Montesano and Benjamin Root.  I have done some
  reading.  And I have made some progress, though I am not quite where I
  want to be yet.
 
  So the problem appears to be that the only backend for which I had
  suitable Python 3 libraries was agg.  It only requires libpng, which I
  have.  I can render a Matplotlib canvas, but it appears that the only
  output that agg offers is in the form of PNG files to disk.  I cannot
  create a live window on the screen.
 
  Reading more, I realize that the way I was getting GUI output previously
  (with Python 2.7 and Matplotlib 1.1) was through wxPython.
  Unfortunately, it appears that wxPython's star is fading, and a Python
  3-compatible version will not be written.  In fact, wxPython hasn't
  released a new version in nine months.
 
  The other choices for Matplotlib GUI output on Linux appear to be
  through GTK, PySide, and PyQt.  I am not familiar with GTK, but I know
  that it is widely-used.  Also, GTK appears to be Python 3-compatible,
  and so that is where I need to go.
 
  I'm going through a trial and error process.  Unfortunately, the names
  of the repositories in Ubuntu are not very helpful.  I installed a few
  GTK and python-gtk related packages that I thought were relevant.  On my
  first build attempt I got no errors, but also, I didn't get a GTKAgg
  backend.  Upon re-reading, I saw that I should modify matplotlib's
  setup.cfg file to force a GTK build attempt, and to report errors if it
  fails. That's what it does.  In the optional backend dependencies
  section I am not seeing any GTK libraries listed, even though I have
  installed python-gtk2-dev (2.24.0), python-gobject-2-dev (2.28.6),
  libgtk2.0-dev (2.24.10), libglib2.0-dev (2.32.3), python-gi-dev (3.2.2),
  python-gobject-dev (3.2.2), python3-gi (3.2.2), and a few DOZEN packages
  on which these depend.
 
  If anyone knows the way forward from here, I would appreciate your
  advice.  Thanks again.
 
 
 --
  Precog is a next-generation analytics platform capable of advanced
  analytics on semi-structured data. The platform includes APIs for
 building
  apps and a phenomenal toolset for data science. Developers can use
  our toolset for easy data analysis  visualization. Get a free account!
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Re: [Matplotlib-users] Trying to migrate to Python 3.2, Matplotlib 1.2.1

2013-04-19 Thread Mark Lawrence
On 19/04/2013 04:03, John Ladasky wrote:

 Reading more, I realize that the way I was getting GUI output previously
 (with Python 2.7 and Matplotlib 1.1) was through wxPython.
 Unfortunately, it appears that wxPython's star is fading, and a Python
 3-compatible version will not be written.  In fact, wxPython hasn't
 released a new version in nine months.


I'm surprised that you say this as months of work have gone into 
updating wxPython to make in Python 3 compatible.  Please see 
http://wxpython.org/Phoenix/snapshot-builds/ for the latest and greatest.

-- 
If you're using GoogleCrap™ please read this 
http://wiki.python.org/moin/GoogleGroupsPython.

Mark Lawrence


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Re: [Matplotlib-users] Trying to migrate to Python 3.2, Matplotlib 1.2.1

2013-04-19 Thread Werner F. Bruhin
On 19/04/2013 12:26, Mark Lawrence wrote:
 On 19/04/2013 04:03, John Ladasky wrote:

 Reading more, I realize that the way I was getting GUI output previously
 (with Python 2.7 and Matplotlib 1.1) was through wxPython.
 Unfortunately, it appears that wxPython's star is fading, and a Python
 3-compatible version will not be written.  In fact, wxPython hasn't
 released a new version in nine months.

 I'm surprised that you say this as months of work have gone into
 updating wxPython to make in Python 3 compatible.  Please see
 http://wxpython.org/Phoenix/snapshot-builds/ for the latest and greatest.
This one to the list - sorry Mark used the wrong reply button.

I don't work on Python 3 yet but I am trying to get Phoenix to work with 
matplotlib.

Made a few changes to backend_wx:

Following don't exist in Phoenix (build r73823)  - will research later 
if they should exist.
 #wx.WXK_PRIOR   : 'pageup',
 #wx.WXK_NEXT: 'pagedown',
 #wx.WXK_NUMPAD_PRIOR: 'pageup',
 #wx.WXK_NUMPAD_NEXT : 'pagedown',

There are a few EmptyBitMap creates which need to be changed to:

 if 'phoenix' in wx.PlatformInfo:
 self.bitmap = wx.Bitmap(w, h)
 else:
 self.bitmap = wx.EmptyBitmap(w, h)


But now I am stuck on the following exception and I haven't found a 
solution to this yet - any pointers would be very welcome.

Werner

AttributeError: 'BaseApp' object has no attribute 'ProcessIdle'
File c:\dev\twcbv4\twcbsrc\controllers\app_stats.py, line 864, in module
   apprb = Appstats(None, standalone=True)
File c:\dev\twcbv4\twcbsrc\controllers\app_stats.py, line 203, in __init__
   self.setupControls()
File c:\dev\twcbv4\twcbsrc\controllers\app_stats.py, line 236, in 
setupControls
   self.createStatsPanes()
File c:\dev\twcbv4\twcbsrc\controllers\app_stats.py, line 401, in 
createStatsPanes
   self.paneStatsDtypeCons.axes = 
self.paneStatsDtypeCons.figure.add_subplot(noRow, noCol, 1)
File c:\Python27\Lib\site-packages\matplotlib\figure.py, line 882, in 
add_subplot
   a = subplot_class_factory(projection_class)(self, *args, **kwargs)
File c:\Python27\Lib\site-packages\matplotlib\axes.py, line 8938, in 
__init__
   self._axes_class.__init__(self, fig, self.figbox, **kwargs)
File c:\Python27\Lib\site-packages\matplotlib\axes.py, line 461, in 
__init__
   self._init_axis()
File c:\Python27\Lib\site-packages\matplotlib\axes.py, line 523, in 
_init_axis
   self.spines['right'].register_axis(self.yaxis)
File c:\Python27\Lib\site-packages\matplotlib\spines.py, line 151, in 
register_axis
   self.axis.cla()
File c:\Python27\Lib\site-packages\matplotlib\axis.py, line 732, in cla
   self.reset_ticks()
File c:\Python27\Lib\site-packages\matplotlib\axis.py, line 746, in 
reset_ticks
   self.minorTicks.extend([self._get_tick(major=False)])
File c:\Python27\Lib\site-packages\matplotlib\axis.py, line 1839, in 
_get_tick
   return YTick(self.axes, 0, '', major=major, **tick_kw)
File c:\Python27\Lib\site-packages\matplotlib\axis.py, line 140, in 
__init__
   self.tick2line = self._get_tick2line()
File c:\Python27\Lib\site-packages\matplotlib\axis.py, line 541, in 
_get_tick2line
   l.set_transform(self.axes.get_yaxis_transform(which='tick2'))
File c:\Python27\Lib\site-packages\matplotlib\lines.py, line 476, in 
set_transform
   Artist.set_transform(self, t)
File c:\Python27\Lib\site-packages\matplotlib\artist.py, line 235, in 
set_transform
   self.pchanged()
File c:\Python27\Lib\site-packages\matplotlib\artist.py, line 216, in 
pchanged
   for oid, func in self._propobservers.iteritems():


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Re: [Matplotlib-users] Trying to migrate to Python 3.2, Matplotlib 1.2.1

2013-04-19 Thread Michael Droettboom



On 04/19/2013 01:59 AM, C M wrote:



On Thu, Apr 18, 2013 at 11:03 PM, John Ladasky 
john_lada...@sbcglobal.net mailto:john_lada...@sbcglobal.net wrote:


.
Reading more, I realize that the way I was getting GUI output
previously
(with Python 2.7 and Matplotlib 1.1) was through wxPython.
Unfortunately, it appears that wxPython's star is fading, and a Python
3-compatible version will not be written.  In fact, wxPython hasn't
released a new version in nine months.


wxPython is alive and well and the newest developmental version of it 
(Phoenix) runs on Python 3. It should be released fairly soon.  One 
of the wxPython list regulars mentioned getting his software to run 
with it, with a few minor issues, just six days ago.  So you might 
want to give Phoenix a try.
That's great news.  Unfortunately, I'm not aware of any testing with it 
and matplotlib on Python 3, so for someone who just wants to get things 
to work, I would still recommend Tk, gtk or Qt4 on Python3.


Mike
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Re: [Matplotlib-users] Trying to migrate to Python 3.2, Matplotlib 1.2.1

2013-04-18 Thread Benjamin Root
On Thu, Apr 18, 2013 at 3:34 AM, John Ladasky john_lada...@sbcglobal.netwrote:

 Hello everyone,

 After not using Matplotlib for over a year, I'm returning to it.
 Meanwhile, I have upgraded from Python 2.7 to Python 3.2, and I want to
 do all of my software development in Python 3 from now on.

 My OS is Ubuntu 12.04.1.  Python 2.7 is still the default Python for
 Ubuntu, and many of the Python 3 packages are not offered as official
 repositories yet. I downloaded Matplotlib 1.2.1, then built it using
 Python 3.  Eventually, I got no build error messages, and proceeded to
 install. (I always have to pick through dependency problems one error
 message at a time.  I wish there was a better way.  The Matplotlib docs
 could be a little better in this respect.)

 When I open a Python3 interpreter, I can import matplotlib.  But I am
 not seeing ANYTHING with commands like plt.show().  It executes, and
 then returns.  No output is generated.

 This very short and simple test program of mine used to produce output
 with Python 2.7 and Matplotlib 1.1.0.  But with Python 3 and Matplolib
 1.2.1, I am getting nothing...

 import numpy as np
 import matplotlib.pyplot as plt

 x = np.arange(0, 5, 0.1);
 y = np.sin(x)
 plt.plot(x, y)
 plt.show()

 It runs.  No error messages are generated.  But I don't get a graph. I
 don't even see a graph flicker on to the screen and disappear an instant
 later.

 Any advice will be appreciated!


You will need to make sure you install the gtk packages (both the libraries
and the dev packages) *before* building from source.  If it can't find the
dev packages, then it won't build the interactive backend for it.  I can't
remember if there are python3 specific packages for gtk (or any other gui
for that matter).
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Re: [Matplotlib-users] Trying to migrate to Python 3.2, Matplotlib 1.2.1

2013-04-18 Thread John Ladasky
Thanks to both Francesco Montesano and Benjamin Root.  I have done some 
reading.  And I have made some progress, though I am not quite where I 
want to be yet.

So the problem appears to be that the only backend for which I had 
suitable Python 3 libraries was agg.  It only requires libpng, which I 
have.  I can render a Matplotlib canvas, but it appears that the only 
output that agg offers is in the form of PNG files to disk.  I cannot 
create a live window on the screen.

Reading more, I realize that the way I was getting GUI output previously 
(with Python 2.7 and Matplotlib 1.1) was through wxPython.  
Unfortunately, it appears that wxPython's star is fading, and a Python 
3-compatible version will not be written.  In fact, wxPython hasn't 
released a new version in nine months.

The other choices for Matplotlib GUI output on Linux appear to be 
through GTK, PySide, and PyQt.  I am not familiar with GTK, but I know 
that it is widely-used.  Also, GTK appears to be Python 3-compatible, 
and so that is where I need to go.

I'm going through a trial and error process.  Unfortunately, the names 
of the repositories in Ubuntu are not very helpful.  I installed a few 
GTK and python-gtk related packages that I thought were relevant.  On my 
first build attempt I got no errors, but also, I didn't get a GTKAgg 
backend.  Upon re-reading, I saw that I should modify matplotlib's 
setup.cfg file to force a GTK build attempt, and to report errors if it 
fails. That's what it does.  In the optional backend dependencies 
section I am not seeing any GTK libraries listed, even though I have 
installed python-gtk2-dev (2.24.0), python-gobject-2-dev (2.28.6), 
libgtk2.0-dev (2.24.10), libglib2.0-dev (2.32.3), python-gi-dev (3.2.2), 
python-gobject-dev (3.2.2), python3-gi (3.2.2), and a few DOZEN packages 
on which these depend.

If anyone knows the way forward from here, I would appreciate your 
advice.  Thanks again.

--
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analytics on semi-structured data. The platform includes APIs for building
apps and a phenomenal toolset for data science. Developers can use
our toolset for easy data analysis  visualization. Get a free account!
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