matplotlib-devel Mailing List for matplotlib

On Mon, Nov 17, 2014 at 6:52 AM, Benjamin Root <ben...@ou...> wrote:
> I notice that our documentation for matplotlib embedding does not include
> any examples using macosx or cocoagg. Is this because it is not possible
>
probably not!
> or that no one has put forth any such examples?
>
probably.
> Are there python bindings for the apple gui toolkit?
>
There is PyObjC -- which gives you a pretty direct binding to the Cocoa.
https://pythonhosted.org/pyobjc/
That's what one would use to make a truly native app.
Many of us doing OS-X desktop development need cross-platform support, so
tk, wx or qt (or even GTK...)
But someone made the OS-X native back-ends -- so they must have had a use
case -- maybe they could post an example.
A post to the pythonmac sig list may yield someone with an example to post
as well.
-Chris
> Sincerely,
> Completely clueless with regards to Apple
> a.k.a. - Ben Root
>
>
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I notice that our documentation for matplotlib embedding does not include
any examples using macosx or cocoagg. Is this because it is not possible or
that no one has put forth any such examples? Are there python bindings for
the apple gui toolkit?
Sincerely,
Completely clueless with regards to Apple
a.k.a. - Ben Root

On Mon, Nov 17, 2014 at 09:36:50AM -0500, Joel B. Mohler wrote:
> I think I see a breakage of the scatter call that I think should work and did
> work before
> https://github.com/matplotlib/matplotlib/commit/be34210a8c09fcd639ece583eb5c0acb855222b6
> 
> This is running on windows 7 (32 bit) with numpy 1.8 and current master.
Ugh, I tried this same example on my ubuntu box and it works. I update this
diagnosis to "scatter is broken on windows since removing PyCXX"; note that I
do not get a traceback with the code below if I replace "scatter" with "plot".
Being that windows devs are scarce, I'll be digging into this more. I
certainly welcome any clues as it seems very bizarre to me so far.
Joel
> 
> The example is:
> 
> ***
> import numpy
> from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
> from matplotlib.figure import Figure
> 
> POINTS = 500
> 
> figure = Figure(figsize=(6, 6), dpi=72)
> ax = figure.add_subplot(1, 1, 1, projection=None)
> scat = ax.scatter(numpy.arange(POINTS), numpy.sin(numpy.arange(POINTS)))
> ***
> 
> I get on current master
> 
> ***
> Traceback (most recent call last):
> File "C:\work\mpl_scatter_example.py", line 9, in <module>
> scat = ax.scatter(numpy.arange(POINTS), numpy.sin(numpy.arange(POINTS)))
> File "C:\Python27\lib\site-packages\matplotlib\axes\_axes.py", line 3690, in scatter
> self.add_collection(collection)
> File "C:\Python27\lib\site-packages\matplotlib\axes\_base.py", line 1459, in add_collection
> self.update_datalim(collection.get_datalim(self.transData))
> File "C:\Python27\lib\site-packages\matplotlib\collections.py", line 198, in get_datalim
> offsets, transOffset.frozen())
> File "C:\Python27\lib\site-packages\matplotlib\path.py", line 977, in get_path_collection_extents
> master_transform, paths, transforms, offsets,offset_transform))
> ValueError: object too deep for desired array
> ***
> 
> I did very little troubleshooting beyond confirming that this works before the
> merge mentioned in the first paragraph.
> 
> Joel

I think I see a breakage of the scatter call that I think should work and did
work before
https://github.com/matplotlib/matplotlib/commit/be34210a8c09fcd639ece583eb5c0acb855222b6
This is running on windows 7 (32 bit) with numpy 1.8 and current master.
The example is:
***
import numpy
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
POINTS = 500
figure = Figure(figsize=(6, 6), dpi=72)
ax = figure.add_subplot(1, 1, 1, projection=None)
scat = ax.scatter(numpy.arange(POINTS), numpy.sin(numpy.arange(POINTS)))
***
I get on current master
***
Traceback (most recent call last):
 File "C:\work\mpl_scatter_example.py", line 9, in <module>
 scat = ax.scatter(numpy.arange(POINTS), numpy.sin(numpy.arange(POINTS)))
 File "C:\Python27\lib\site-packages\matplotlib\axes\_axes.py", line 3690, in scatter
 self.add_collection(collection)
 File "C:\Python27\lib\site-packages\matplotlib\axes\_base.py", line 1459, in add_collection
 self.update_datalim(collection.get_datalim(self.transData))
 File "C:\Python27\lib\site-packages\matplotlib\collections.py", line 198, in get_datalim
 offsets, transOffset.frozen())
 File "C:\Python27\lib\site-packages\matplotlib\path.py", line 977, in get_path_collection_extents
 master_transform, paths, transforms, offsets,offset_transform))
ValueError: object too deep for desired array
***
I did very little troubleshooting beyond confirming that this works before the
merge mentioned in the first paragraph.
Joel

Mike made some changes to this recently.
https://github.com/matplotlib/matplotlib/pull/3778
May be the cause.
On 16 November 2014 18:12, Benjamin Root <ben...@ou...> wrote:
> And with my continuing saga of backend-specific things...
>
> I was using conda, but because it does not ship with pygtk support, I had
> to manually install pygtk into the conda environment and then install
> matplotlib from source. All that seemed to work fine when I worked on Wx
> and Gtk examples for my book.
>
> I went back to a (previously working) Tk example to polish it, and I get
> all sorts of errors now. I have tried multiple releases of matplotlib from
> source (doing a git clean -fxd between them), all with similar errors. In
> fact, with master, the error causes a segfault:
>
> ben@tigger:~/Documents/InteractiveMPL$ python chp5/slider_tk.py
> Exception in Tkinter callback
> Traceback (most recent call last):
> File "/home/ben/miniconda/lib/python2.7/lib-tk/Tkinter.py", line 1486,
> in __call__
> return self.func(*args)
> File
> "/home/ben/miniconda/lib/python2.7/site-packages/matplotlib-1.5.x-py2.7-linux-x86_64.egg/matplotlib/backends/backend_tkagg.py",
> line 278, in resize
> self.show()
> File
> "/home/ben/miniconda/lib/python2.7/site-packages/matplotlib-1.5.x-py2.7-linux-x86_64.egg/matplotlib/backends/backend_tkagg.py",
> line 350, in draw
> tkagg.blit(self._tkphoto, self.renderer._renderer, colormode=2)
> File
> "/home/ben/miniconda/lib/python2.7/site-packages/matplotlib-1.5.x-py2.7-linux-x86_64.egg/matplotlib/backends/tkagg.py",
> line 30, in blit
> id(data), colormode, id(bbox_array))
> TclError
> alloc: invalid block: 0x2cfe3b0: 0 0
> Aborted (core dumped)
>
> The line in question is (at least in v1.3.1, it is slightly different in
> more recent versions):
> tk.call("PyAggImagePhoto", photoimage, id(aggimage), colormode,
> id(bbox_array))
>
> This happens regardless of what example I use (my own or otherwise). There
> is no blit-specific code in the examples. All of this worked with the
> conda-supplied matplotlib, but never the
> from-source-into-a-conda-environment install.
>
> Thoughts?
> Ben Root
>
>
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