From tcaswell at gmail.com  Thu Sep  1 13:21:20 2016
From: tcaswell at gmail.com (Thomas Caswell)
Date: Thu, 01 Sep 2016 17:21:20 +0000
Subject: [Matplotlib-users] How can I speed up a tricontourf call ?
In-Reply-To: <CAKw8q+YfpZFr8u8L9tB3rz-WDy5_6LofxYqVm8HQZ0G3YTT08A@mail.gmail.com>
References: <CAKw8q+YfpZFr8u8L9tB3rz-WDy5_6LofxYqVm8HQZ0G3YTT08A@mail.gmail.com>
Message-ID: <CAA48SF_ECACEzbBjre7w-Zdp3t8j0c=SEbhv1s4+GUWHw2fNKg@mail.gmail.com>

If you have the RAM for it I would look at something like image pyramids
https://en.wikipedia.org/wiki/Pyramid_(image_processing) + some LRU caching.

Tom

On Wed, Aug 31, 2016 at 1:08 PM Francis Chabouis <fchabouis at gmail.com>
wrote:

> Hello,
> I'm working on this travel times project :
>
>
> https://ubikiwi.com/ouhabiter?locations=[[48.85522811385678,2.332191467285156]]
>
> and the contouring is done thanks to MPL tricontourf function (thanks!).
> As you can see it works pretty well and is fast enough.
>
> As I'm trying to expand the geographical coverage of the application (the
> whole country) I'm having performance issues with the contouring:
>
> - if I load the triangulation in memory at startup, it takes a huge amount
> of RAM. But the real problem is that even a very small contour in this huge
> triangulation takes a very long time to produce. For example with a small
> triangulation, a 20 minutes walk isoline is instant. The same contour on a
> country-wide triangulation takes 6sec. (It is not that long, but for a web
> application it is).
>
> - If on the other hand I compute a triangulation for each request, the
> contouring is fast but the triangulation creation is slow.
>
> Would someone have an optimisation idea ?
> Is it somehow possible to speed up the triangulation ?
> Any possible alternative ?
>
> Thanks a lot,
> Francis
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
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From tcaswell at gmail.com  Mon Sep  5 14:28:38 2016
From: tcaswell at gmail.com (Thomas Caswell)
Date: Mon, 05 Sep 2016 18:28:38 +0000
Subject: [Matplotlib-users] Documentation help request for web frameworks
Message-ID: <CAA48SF9pekYGvNdpuEe+qpauaxLHh06P6jRVECOE6KzSx3Q-8w@mail.gmail.com>

Folks,

I know that there is a use of mpl as part of django / flask / bottle / zope
/ ... to write figures directly to buffers and serve them to users without
writing to disk  (an example of this is
http://scipy-cookbook.readthedocs.io/items/Matplotlib_Django.html , but I
think this is better done via `fig.savefig(bytes_io_buffer, format='png')`
rather than reaching in and touching the canvas directly).

This seems like the sort of thing that should be easy to find in our
documentation.  Is anyone interested in writing up 'canonical' examples?

Tom
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From jfoxrabinovitz at gmail.com  Tue Sep  6 11:26:12 2016
From: jfoxrabinovitz at gmail.com (Joseph Fox-Rabinovitz)
Date: Tue, 6 Sep 2016 11:26:12 -0400
Subject: [Matplotlib-users] Documentation help request for web frameworks
In-Reply-To: <CAA48SF9pekYGvNdpuEe+qpauaxLHh06P6jRVECOE6KzSx3Q-8w@mail.gmail.com>
References: <CAA48SF9pekYGvNdpuEe+qpauaxLHh06P6jRVECOE6KzSx3Q-8w@mail.gmail.com>
Message-ID: <CAAa1KPbB2kvnsCg0=7ROd9WNvTDCxOnYzpczugBw9GToqeA68g@mail.gmail.com>

I don't have the time to do a decent writeup of this, but here is a
function that I use that does the byteio thing automatically. Perhaps it
will be useful to someone who is willing to do the writeup. I trimmed out
the domain-specific parts and left only the interesting bits:

```
def saveFigure(fig, file=None, **kwargs):
    """
    Saves the figure as an image using `matplotlib.pyplot.savefig`.

    The main value of this method is that it automatically saves to memory
via
    a `BytesIO` object if a file is not specified.

    fig: The figure to save
    file: Either a file name or file-like object, or `None`. In the former
two
        cases, there is no return value. In the latter case, a `BytesIO`
        containing the image will be returned. The output will be rewound to
        the start in that case. The default is `None`.

    All other arguments are passed through directly to `savefig`. `format`
defaults
    to 'png' if unset. Some common options include:
    """
    output = BytesIO() if file is None else file
    kwargs.setdefault('format', 'png')
    fig.savefig(output, **kwargs)
    if file is None:
        output.seek(0)
    return output
```

On Mon, Sep 5, 2016 at 2:28 PM, Thomas Caswell <tcaswell at gmail.com> wrote:

> Folks,
>
> I know that there is a use of mpl as part of django / flask / bottle /
> zope / ... to write figures directly to buffers and serve them to users
> without writing to disk  (an example of this is http://scipy-cookbook.
> readthedocs.io/items/Matplotlib_Django.html , but I think this is better
> done via `fig.savefig(bytes_io_buffer, format='png')` rather than reaching
> in and touching the canvas directly).
>
> This seems like the sort of thing that should be easy to find in our
> documentation.  Is anyone interested in writing up 'canonical' examples?
>
> Tom
>
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
>
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From dipugee at gmail.com  Tue Sep  6 11:41:07 2016
From: dipugee at gmail.com (=?utf-8?Q?Dipankar_=E2=80=9CDipu=E2=80=9D_Ganguly?=)
Date: Tue, 6 Sep 2016 08:41:07 -0700
Subject: [Matplotlib-users] Documentation help request for web frameworks
In-Reply-To: <CAAa1KPbB2kvnsCg0=7ROd9WNvTDCxOnYzpczugBw9GToqeA68g@mail.gmail.com>
References: <CAA48SF9pekYGvNdpuEe+qpauaxLHh06P6jRVECOE6KzSx3Q-8w@mail.gmail.com>
 <CAAa1KPbB2kvnsCg0=7ROd9WNvTDCxOnYzpczugBw9GToqeA68g@mail.gmail.com>
Message-ID: <94BE9CDF-D887-4475-9E13-7F16CDC36974@gmail.com>

Hi:

I have a third party tool that allows me to create still frame ?.png? images (about 30-frames) ) from an ?.mpv? movie. I now need to read this series of 30 or so still frames into my  IPython -based image processing environment automatically after being directed to the right source folder. Has someone already done something like this? I can currently read single frame images one at a time.

I am not sure is if this is the right group to be posing the question to. If not I apologize and would appreciate being pointed to the right one.

Thanks.

Dipu

Dipankar Ganguly
Consultant: Strategy/Technology/Commercialization
Bothell, WA
Cell: 408-203-8814
email: dipugee at gmail.com
http://www.linkedin.com/in/dipugee 









> On Sep 6, 2016, at 8:26 AM, Joseph Fox-Rabinovitz <jfoxrabinovitz at gmail.com> wrote:
> 
> I don't have the time to do a decent writeup of this, but here is a function that I use that does the byteio thing automatically. Perhaps it will be useful to someone who is willing to do the writeup. I trimmed out the domain-specific parts and left only the interesting bits:
> 
> ```
> def saveFigure(fig, file=None, **kwargs):
>     """
>     Saves the figure as an image using `matplotlib.pyplot.savefig`.
> 
>     The main value of this method is that it automatically saves to memory via
>     a `BytesIO` object if a file is not specified.
> 
>     fig: The figure to save
>     file: Either a file name or file-like object, or `None`. In the former two
>         cases, there is no return value. In the latter case, a `BytesIO`
>         containing the image will be returned. The output will be rewound to
>         the start in that case. The default is `None`.
> 
>     All other arguments are passed through directly to `savefig`. `format` defaults
>     to 'png' if unset. Some common options include:
>     """
>     output = BytesIO() if file is None else file
>     kwargs.setdefault('format', 'png')
>     fig.savefig(output, **kwargs)
>     if file is None:
>         output.seek(0)
>     return output
> ```
> 
> On Mon, Sep 5, 2016 at 2:28 PM, Thomas Caswell <tcaswell at gmail.com <mailto:tcaswell at gmail.com>> wrote:
> Folks,
> 
> I know that there is a use of mpl as part of django / flask / bottle / zope / ... to write figures directly to buffers and serve them to users without writing to disk  (an example of this is http://scipy-cookbook.readthedocs.io/items/Matplotlib_Django.html <http://scipy-cookbook.readthedocs.io/items/Matplotlib_Django.html> , but I think this is better done via `fig.savefig(bytes_io_buffer, format='png')` rather than reaching in and touching the canvas directly).
> 
> This seems like the sort of thing that should be easy to find in our documentation.  Is anyone interested in writing up 'canonical' examples?
> 
> Tom
> 
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org <mailto:Matplotlib-users at python.org>
> https://mail.python.org/mailman/listinfo/matplotlib-users <https://mail.python.org/mailman/listinfo/matplotlib-users>
> 
> 
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users

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From John.Robson at usp.br  Fri Sep  9 02:40:54 2016
From: John.Robson at usp.br (John Robson)
Date: Fri, 9 Sep 2016 02:40:54 -0400
Subject: [Matplotlib-users] Simultaneous plots with Matplotlib
 "QObject/thread" error
Message-ID: <nqtlhl$rvr$1@blaine.gmane.org>

Hi all,

I have some Flask pages that plot charts using Matplotlib, they work 
very well, but when running them simultaneously they break the site, 
with errors like:

"QObject: Cannot create children for a parent that is in a different 
thread."

"QObject::~QObject: Timers cannot be stopped from another thread"

I wonder how to safely use Matplolib with Flask (with several 
simultaneous users plotting charts all the time)?

Thank you,
John


From efiring at hawaii.edu  Fri Sep  9 03:16:16 2016
From: efiring at hawaii.edu (Eric Firing)
Date: Thu, 8 Sep 2016 21:16:16 -1000
Subject: [Matplotlib-users] Simultaneous plots with Matplotlib
 "QObject/thread" error
In-Reply-To: <nqtlhl$rvr$1@blaine.gmane.org>
References: <nqtlhl$rvr$1@blaine.gmane.org>
Message-ID: <7ded027d-65fc-c656-3194-c37ed3435b1d@hawaii.edu>

On 2016/09/08 8:40 PM, John Robson wrote:
> Hi all,
>
> I have some Flask pages that plot charts using Matplotlib, they work
> very well, but when running them simultaneously they break the site,
> with errors like:
>
> "QObject: Cannot create children for a parent that is in a different
> thread."
>
> "QObject::~QObject: Timers cannot be stopped from another thread"
>
> I wonder how to safely use Matplolib with Flask (with several
> simultaneous users plotting charts all the time)?

I suspect the problem is that matplotlib is running with the qt4agg backend.

When plotting for a web app like that, you need to make sure the backend 
is set to the agg backend.  You can do that in a matplotlibrc file or 
directly in the plotting script, immediately after importing matplotlib 
and before importing pyplot (if you use pyplot at all).

Eric

>
> Thank you,
> John


From John.Robson at usp.br  Fri Sep  9 17:24:08 2016
From: John.Robson at usp.br (John Robson)
Date: Fri, 9 Sep 2016 17:24:08 -0400
Subject: [Matplotlib-users] Simultaneous plots with Matplotlib
 "QObject/thread" error
In-Reply-To: <7ded027d-65fc-c656-3194-c37ed3435b1d@hawaii.edu>
References: <nqtlhl$rvr$1@blaine.gmane.org>
 <7ded027d-65fc-c656-3194-c37ed3435b1d@hawaii.edu>
Message-ID: <nqv99n$sf5$1@blaine.gmane.org>

Eric, you are right, I followed this and worked:

http://matplotlib.org/faq/howto_faq.html#howto-webapp

I also fixed other problems, I was using "plt.savefig", "plt.xxx" I 
believe that this "plt" was harming other simultaneous plots, so I 
replaced every "plt." by ".fig" and now I think is OK.

I just wonder how can I isolate each plot from other simultaneous plots, 
I'm doing this:

fig = plt.figure()
ax = fig.gca()
 > plot stuff, scatterplot, etc..., set title, lables, etc...
fig = ax.get_figure()
fig.set_tight_layout(True)
fig.savefig(filename, format='png', dpi=100, facecolor='w', 
edgecolor='k', bbox_inches='tight')
fig.clf()
plt.close(fig)

So the first "fig" instance is destroyed at the end and there is no 
"plt.xxx"

This is a good approach to isolate all plots?

Thank you,
John



On 09/09/16 03:16, Eric Firing wrote:
> On 2016/09/08 8:40 PM, John Robson wrote:
>> Hi all,
>>
>> I have some Flask pages that plot charts using Matplotlib, they work
>> very well, but when running them simultaneously they break the site,
>> with errors like:
>>
>> "QObject: Cannot create children for a parent that is in a different
>> thread."
>>
>> "QObject::~QObject: Timers cannot be stopped from another thread"
>>
>> I wonder how to safely use Matplolib with Flask (with several
>> simultaneous users plotting charts all the time)?
>
> I suspect the problem is that matplotlib is running with the qt4agg
> backend.
>
> When plotting for a web app like that, you need to make sure the backend
> is set to the agg backend.  You can do that in a matplotlibrc file or
> directly in the plotting script, immediately after importing matplotlib
> and before importing pyplot (if you use pyplot at all).
>
> Eric
>
>>
>> Thank you,
>> John


From efiring at hawaii.edu  Fri Sep  9 17:58:05 2016
From: efiring at hawaii.edu (Eric Firing)
Date: Fri, 9 Sep 2016 11:58:05 -1000
Subject: [Matplotlib-users] Simultaneous plots with Matplotlib
 "QObject/thread" error
In-Reply-To: <nqv99n$sf5$1@blaine.gmane.org>
References: <nqtlhl$rvr$1@blaine.gmane.org>
 <7ded027d-65fc-c656-3194-c37ed3435b1d@hawaii.edu>
 <nqv99n$sf5$1@blaine.gmane.org>
Message-ID: <6f979b1c-5c12-4ff8-68c2-aab76e05f3b2@hawaii.edu>

John,

Your new approach looks good to me, but could be tweaked.  You don't 
need the 'fig.clf()' at the end because the 'plt.close(fig)' will take 
care of cleaning everything up.  At the start, using 'fig.gca()' seems a 
little odd.  A common and compact idiom now would be 'fig, ax = 
plt.subplots()'.  Once you have the figure reference, you don't need to 
recreate it with the call to 'ax.get_figure()`, so you can delete that. 
I don't think you need both tight_layout and bbox_inches='tight'. My 
impression is that the latter is more robust, but has the possible 
disadvantage of modifying the figure dimensions, which might be 
undesirable in a web app.

Eric

On 2016/09/09 11:24 AM, John Robson wrote:
> Eric, you are right, I followed this and worked:
>
> http://matplotlib.org/faq/howto_faq.html#howto-webapp
>
> I also fixed other problems, I was using "plt.savefig", "plt.xxx" I
> believe that this "plt" was harming other simultaneous plots, so I
> replaced every "plt." by ".fig" and now I think is OK.
>
> I just wonder how can I isolate each plot from other simultaneous plots,
> I'm doing this:
>
> fig = plt.figure()
> ax = fig.gca()
>> plot stuff, scatterplot, etc..., set title, lables, etc...
> fig = ax.get_figure()
> fig.set_tight_layout(True)
> fig.savefig(filename, format='png', dpi=100, facecolor='w',
> edgecolor='k', bbox_inches='tight')
> fig.clf()
> plt.close(fig)
>
> So the first "fig" instance is destroyed at the end and there is no
> "plt.xxx"
>
> This is a good approach to isolate all plots?
>
> Thank you,
> John
>
>
>
> On 09/09/16 03:16, Eric Firing wrote:
>> On 2016/09/08 8:40 PM, John Robson wrote:
>>> Hi all,
>>>
>>> I have some Flask pages that plot charts using Matplotlib, they work
>>> very well, but when running them simultaneously they break the site,
>>> with errors like:
>>>
>>> "QObject: Cannot create children for a parent that is in a different
>>> thread."
>>>
>>> "QObject::~QObject: Timers cannot be stopped from another thread"
>>>
>>> I wonder how to safely use Matplolib with Flask (with several
>>> simultaneous users plotting charts all the time)?
>>
>> I suspect the problem is that matplotlib is running with the qt4agg
>> backend.
>>
>> When plotting for a web app like that, you need to make sure the backend
>> is set to the agg backend.  You can do that in a matplotlibrc file or
>> directly in the plotting script, immediately after importing matplotlib
>> and before importing pyplot (if you use pyplot at all).
>>
>> Eric
>>
>>>
>>> Thank you,
>>> John
>
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users


From John.Robson at usp.br  Fri Sep  9 20:31:40 2016
From: John.Robson at usp.br (John Robson)
Date: Fri, 9 Sep 2016 20:31:40 -0400
Subject: [Matplotlib-users] Simultaneous plots with Matplotlib
 "QObject/thread" error
In-Reply-To: <6f979b1c-5c12-4ff8-68c2-aab76e05f3b2@hawaii.edu>
References: <nqtlhl$rvr$1@blaine.gmane.org>
 <7ded027d-65fc-c656-3194-c37ed3435b1d@hawaii.edu>
 <nqv99n$sf5$1@blaine.gmane.org>
 <6f979b1c-5c12-4ff8-68c2-aab76e05f3b2@hawaii.edu>
Message-ID: <nqvk9b$l2k$1@blaine.gmane.org>

I implemented what you suggested; I hope do not have problems with lack 
of isolation when plot several figures at the same time, thank you.

Btw, for a better management of several simultaneous plots, what do you 
recommend: a task queue like Celery? something else?

Tks
John


From efiring at hawaii.edu  Fri Sep  9 20:44:20 2016
From: efiring at hawaii.edu (Eric Firing)
Date: Fri, 9 Sep 2016 14:44:20 -1000
Subject: [Matplotlib-users] Simultaneous plots with Matplotlib
 "QObject/thread" error
In-Reply-To: <nqvk9b$l2k$1@blaine.gmane.org>
References: <nqtlhl$rvr$1@blaine.gmane.org>
 <7ded027d-65fc-c656-3194-c37ed3435b1d@hawaii.edu>
 <nqv99n$sf5$1@blaine.gmane.org>
 <6f979b1c-5c12-4ff8-68c2-aab76e05f3b2@hawaii.edu>
 <nqvk9b$l2k$1@blaine.gmane.org>
Message-ID: <8352226b-a27f-c9b5-7ab0-c91325c3d58c@hawaii.edu>

On 2016/09/09 2:31 PM, John Robson wrote:
> Btw, for a better management of several simultaneous plots, what do you
> recommend: a task queue like Celery? something else?

John,

I don't have a clear picture of your situation, and I've never heard of 
Celery before.  Maybe someone else on this list will be better qualified 
to answer.

Eric

From ianthomas23 at gmail.com  Thu Sep 15 03:46:14 2016
From: ianthomas23 at gmail.com (Ian Thomas)
Date: Thu, 15 Sep 2016 08:46:14 +0100
Subject: [Matplotlib-users] How can I speed up a tricontourf call ?
In-Reply-To: <CAKw8q+YfpZFr8u8L9tB3rz-WDy5_6LofxYqVm8HQZ0G3YTT08A@mail.gmail.com>
References: <CAKw8q+YfpZFr8u8L9tB3rz-WDy5_6LofxYqVm8HQZ0G3YTT08A@mail.gmail.com>
Message-ID: <CAH53=NZ=GCwF2QFBbHiFjKFmnAPQ45rpH1QCWWRoJoeNubdr5Q@mail.gmail.com>

Hello Francis,

Normally to help with requests of this nature we would need to see your
code to identify if you are doing anything wrong, or at least sub-optimally.

Without seeing your code, we will at least need some more information.
We'll start with:
1) How big is your triangulation, i.e. how many points and how many
triangles?
2) How much is "a huge amount of RAM"?
3) How long is a "very long time to produce"?
4) How much RAM do you have available?
5) Is the geometric triangulation static, i.e. constant in time?
6) Each time you create a matplotlib.tri.Triangulation object, do you
specify the triangles array or not (the latter meaning that a Delaunay
triangulation is calculated for you)?

Ian


On 31 August 2016 at 18:08, Francis Chabouis <fchabouis at gmail.com> wrote:

> Hello,
> I'm working on this travel times project :
>
> https://ubikiwi.com/ouhabiter?locations=[[48.85522811385678,
> 2.332191467285156]]
>
> and the contouring is done thanks to MPL tricontourf function (thanks!).
> As you can see it works pretty well and is fast enough.
>
> As I'm trying to expand the geographical coverage of the application (the
> whole country) I'm having performance issues with the contouring:
>
> - if I load the triangulation in memory at startup, it takes a huge amount
> of RAM. But the real problem is that even a very small contour in this huge
> triangulation takes a very long time to produce. For example with a small
> triangulation, a 20 minutes walk isoline is instant. The same contour on a
> country-wide triangulation takes 6sec. (It is not that long, but for a web
> application it is).
>
> - If on the other hand I compute a triangulation for each request, the
> contouring is fast but the triangulation creation is slow.
>
> Would someone have an optimisation idea ?
> Is it somehow possible to speed up the triangulation ?
> Any possible alternative ?
>
> Thanks a lot,
> Francis
>
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
>
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From thierry.jolicoeur at u-psud.fr  Wed Sep 21 05:54:43 2016
From: thierry.jolicoeur at u-psud.fr (Thierry)
Date: Wed, 21 Sep 2016 02:54:43 -0700 (MST)
Subject: [Matplotlib-users] matplotlib: no output with Agg - TkAgg - Qt5Agg
 -- stuck at ttconv.so
Message-ID: <1474451683789-47535.post@n5.nabble.com>

Hello,

I use python/matplotlib scripts regularly to produce nice figures from raw
data files. After the summer break I did an update of my Gentoo box and I
have
now a problem with matplotlib. It produces no graphical output: no pop-up
window with a graph and no way to save a plot. I have tried to change
the backend : with TkAgg or Qt5Agg the process is stuck forever <defunct>
and to be killed manually kill -9, with Agg it is slightly better, I get
back the command line
but the pdf file created is not complete, unreadable by Okular.

here are the versions:

so it's gentoo box
kernek is 3.10.17
python 2.7.10
dev-python/matplotlib-1.5.3 

I use also ipython-5.1.0 which shows the same problem.
I tried the new jupyter qtconsole which hangs when displaying a plot.

I ran a minimal script that contains the problem:

*************************************
from pylab import *
x=[1.,2.,3.]
y=[2.,3.,4.]
plot(x,y,'o')
savefig('myf.pdf',format='pdf')
*************************************


the same behavior arises in interactive shell, calling directly matplotlib
directly
instead of pylab.

running the script with python -v my_script.py
gives a very verbose output whose end is:

....
import matplotlib.backends.qt_editor.formsubplottool # precompiled from
/usr/lib64/python2.7/site-packages/matplotlib/backends/qt_editor/formsubplottool.pyc
# /usr/lib64/python2.7/site-packages/matplotlib/backends/backend_pdf.pyc
matches
/usr/lib64/python2.7/site-packages/matplotlib/backends/backend_pdf.py
import matplotlib.backends.backend_pdf # precompiled from
/usr/lib64/python2.7/site-packages/matplotlib/backends/backend_pdf.pyc
# /usr/lib64/python2.7/site-packages/matplotlib/backends/backend_mixed.pyc
matches
/usr/lib64/python2.7/site-packages/matplotlib/backends/backend_mixed.py
import matplotlib.backends.backend_mixed # precompiled from
/usr/lib64/python2.7/site-packages/matplotlib/backends/backend_mixed.pyc
# /usr/lib64/python2.7/site-packages/matplotlib/type1font.pyc matches
/usr/lib64/python2.7/site-packages/matplotlib/type1font.py
import matplotlib.type1font # precompiled from
/usr/lib64/python2.7/site-packages/matplotlib/type1font.pyc
dlopen("/usr/lib64/python2.7/site-packages/matplotlib/ttconv.so", 2);
import matplotlib.ttconv # dynamically loaded from
/usr/lib64/python2.7/site-packages/matplotlib/ttconv.so


it dies right at ttconv.so
the process is then <defunct>
should be killed with -9


Looking for ttconv.so seems OK ...

tjoli at skynet matplotlib % file ttconv.so 
ttconv.so: ELF 64-bit LSB shared object, x86-64, version 1 (GNU/Linux),
dynamically linked, stripped

tjoli at skynet matplotlib % ldd ttconv.so 
        linux-vdso.so.1 (0x00007fffe9b1f000)
        libstdc++.so.6 =>
/usr/lib/gcc/x86_64-pc-linux-gnu/4.9.3/libstdc++.so.6 (0x00007f85f6445000)
        libpython2.7.so.1.0 => /usr/lib64/libpython2.7.so.1.0
(0x00007f85f6076000)
        libgcc_s.so.1 =>
/usr/lib/gcc/x86_64-pc-linux-gnu/4.9.3/libgcc_s.so.1 (0x00007f85f5e5f000)
        libc.so.6 => /lib64/libc.so.6 (0x00007f85f5ac3000)
        libm.so.6 => /lib64/libm.so.6 (0x00007f85f57c4000)
        /lib64/ld-linux-x86-64.so.2 (0x00007f85f6a0c000)
        libpthread.so.0 => /lib64/libpthread.so.0 (0x00007f85f55a8000)
        libdl.so.2 => /lib64/libdl.so.2 (0x00007f85f53a4000)
        libutil.so.1 => /lib64/libutil.so.1 (0x00007f85f51a0000)
        
 
If I use Agg then the end of the output with '-v' is the same but I get back
the command line.
No appearance of the usual cleanup messages that appear after a successful
run.


 Any ideas would be welcome
thanks in advance.
(In case it is gentoo-specific I posted this problem on the gentoo forum -
no answers yet.)

 




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From tcaswell at gmail.com  Wed Sep 21 17:04:01 2016
From: tcaswell at gmail.com (Thomas Caswell)
Date: Wed, 21 Sep 2016 21:04:01 +0000
Subject: [Matplotlib-users] NumFOCUS Projects Director
Message-ID: <CAA48SF9WU8iGeXF=XOx+_jp-8ncyq+3CeeUW7Qq_-x1hOB0kBQ@mail.gmail.com>

Forwarded on on behalf of NumFOCUS.  Please distribute this through your
networks!

NumFOCUS is seeking to hire a full-time Projects Director to develop and
run a sustainability incubator program for NumFOCUS fiscally sponsored open
source projects. This is the first program of its kind, with opportunity
for enormous impact on the open source ecosystem. The Projects Director
will work with NumFOCUS fiscally sponsored Open Source projects to develop
appropriate business development strategies and opportunities to engage
with industry. The learnings from this program will be public, meaning it
has the potential to change how all open source projects are managed.

NumFOCUS is 501(c)3 whose mission is to promote sustainable high-level
programming languages, open code development, and reproducible scientific
research. They accomplish this mission through their educational programs
and events as well as through fiscal sponsorship of open source data
science projects. They aim to increase collaboration and communication
within the scientific computing community.

The Projects Director position is initially funded for 2 years through a
grant from the Sloan Foundation. The incumbent will be hired as an employee
of NumFOCUS. Review of applications will begin October 10th, and the
position will remain open until filled.

Job description

The Projects Director will lead efforts to identify skills and perspectives
that Open Source Project leads need to establish sustainability models and
seek opportunities for funding and will consult with NumFOCUS projects and
disseminate outcomes.

Responsibilities Include:
 - Organize a ?business bootcamp? workshop, coach project leads and lead an
Advisory Board for these business development efforts
- Develop business and financial plans, improve communication, build
industry relationships, and broadly develop strategies for fostering these
relationships.
- Lead efforts to identify skills and perspectives that Open Source Project
leads need to establish sustainability models and seek opportunities for
funding
- Using materials from workshops and other resources, develop and
disseminate an Open Source Nurturing and Actionable Practices Kit (OSNAP
Kit) to provide guidance to open source projects outside of NumFOCUS
- Establish assessment strategies to measure impact and help NumFOCUS
open-source projects develop industry relationships

Qualifications

As this role provides a business, operations and marketing perspective to
Open Source project leads, the candidate should have:
- Preferred: 4 years experience in business development, operations and/or
marketing
- Strong oral and written communication skills
- Teaching experience of some capacity, e.g. teaching at universities or
creating and running workshops
- Demonstrated ability to interact with a broad range of people from
technical leads to industry leaders
- Experience working with open communities, e.g. open source software,
hardware or makers,
- A rich network of experts in business and technology to draw ideas and
collaboration from.

Salary

NumFOCUS offers a competitive salary commensurate with experience and a
comprehensive benefits package.

Applications

To apply, please submit your resume/CV and cover letter (up to two pages)
to NumFOCUS at: projects_director at numfocus.org

See the posting at:
http://www.numfocus.org/blog/projects-director-job-posting
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From ben.v.root at gmail.com  Thu Sep 22 15:41:43 2016
From: ben.v.root at gmail.com (Benjamin Root)
Date: Thu, 22 Sep 2016 15:41:43 -0400
Subject: [Matplotlib-users] matplotlib: no output with Agg - TkAgg -
 Qt5Agg -- stuck at ttconv.so
In-Reply-To: <1474451683789-47535.post@n5.nabble.com>
References: <1474451683789-47535.post@n5.nabble.com>
Message-ID: <CANNq6FmNgFQYYcShRkcZ7E4X3Mr9=Yg7sUXCe5c8ufiTRWCpNg@mail.gmail.com>

The ttconv.so stuff has to do with font handling. Since it is happening
with all backends, I suspect that the problem is with the font-cache build,
which is done at the first import of matplotlib (or when the cache needs
updating) -- regardless of the selected backend.

I would try a completely clean rebuild of matplotlib (just nuke it from
orbit), and capture the build logs in case there are some notes/warnings in
it regarding linking to freetype.

Cheers!
Ben Root


On Wed, Sep 21, 2016 at 5:54 AM, Thierry <thierry.jolicoeur at u-psud.fr>
wrote:

> Hello,
>
> I use python/matplotlib scripts regularly to produce nice figures from raw
> data files. After the summer break I did an update of my Gentoo box and I
> have
> now a problem with matplotlib. It produces no graphical output: no pop-up
> window with a graph and no way to save a plot. I have tried to change
> the backend : with TkAgg or Qt5Agg the process is stuck forever <defunct>
> and to be killed manually kill -9, with Agg it is slightly better, I get
> back the command line
> but the pdf file created is not complete, unreadable by Okular.
>
> here are the versions:
>
> so it's gentoo box
> kernek is 3.10.17
> python 2.7.10
> dev-python/matplotlib-1.5.3
>
> I use also ipython-5.1.0 which shows the same problem.
> I tried the new jupyter qtconsole which hangs when displaying a plot.
>
> I ran a minimal script that contains the problem:
>
> *************************************
> from pylab import *
> x=[1.,2.,3.]
> y=[2.,3.,4.]
> plot(x,y,'o')
> savefig('myf.pdf',format='pdf')
> *************************************
>
>
> the same behavior arises in interactive shell, calling directly matplotlib
> directly
> instead of pylab.
>
> running the script with python -v my_script.py
> gives a very verbose output whose end is:
>
> ....
> import matplotlib.backends.qt_editor.formsubplottool # precompiled from
> /usr/lib64/python2.7/site-packages/matplotlib/backends/
> qt_editor/formsubplottool.pyc
> # /usr/lib64/python2.7/site-packages/matplotlib/backends/backend_pdf.pyc
> matches
> /usr/lib64/python2.7/site-packages/matplotlib/backends/backend_pdf.py
> import matplotlib.backends.backend_pdf # precompiled from
> /usr/lib64/python2.7/site-packages/matplotlib/backends/backend_pdf.pyc
> # /usr/lib64/python2.7/site-packages/matplotlib/backends/backend_mixed.pyc
> matches
> /usr/lib64/python2.7/site-packages/matplotlib/backends/backend_mixed.py
> import matplotlib.backends.backend_mixed # precompiled from
> /usr/lib64/python2.7/site-packages/matplotlib/backends/backend_mixed.pyc
> # /usr/lib64/python2.7/site-packages/matplotlib/type1font.pyc matches
> /usr/lib64/python2.7/site-packages/matplotlib/type1font.py
> import matplotlib.type1font # precompiled from
> /usr/lib64/python2.7/site-packages/matplotlib/type1font.pyc
> dlopen("/usr/lib64/python2.7/site-packages/matplotlib/ttconv.so", 2);
> import matplotlib.ttconv # dynamically loaded from
> /usr/lib64/python2.7/site-packages/matplotlib/ttconv.so
>
>
> it dies right at ttconv.so
> the process is then <defunct>
> should be killed with -9
>
>
> Looking for ttconv.so seems OK ...
>
> tjoli at skynet matplotlib % file ttconv.so
> ttconv.so: ELF 64-bit LSB shared object, x86-64, version 1 (GNU/Linux),
> dynamically linked, stripped
>
> tjoli at skynet matplotlib % ldd ttconv.so
>         linux-vdso.so.1 (0x00007fffe9b1f000)
>         libstdc++.so.6 =>
> /usr/lib/gcc/x86_64-pc-linux-gnu/4.9.3/libstdc++.so.6 (0x00007f85f6445000)
>         libpython2.7.so.1.0 => /usr/lib64/libpython2.7.so.1.0
> (0x00007f85f6076000)
>         libgcc_s.so.1 =>
> /usr/lib/gcc/x86_64-pc-linux-gnu/4.9.3/libgcc_s.so.1 (0x00007f85f5e5f000)
>         libc.so.6 => /lib64/libc.so.6 (0x00007f85f5ac3000)
>         libm.so.6 => /lib64/libm.so.6 (0x00007f85f57c4000)
>         /lib64/ld-linux-x86-64.so.2 (0x00007f85f6a0c000)
>         libpthread.so.0 => /lib64/libpthread.so.0 (0x00007f85f55a8000)
>         libdl.so.2 => /lib64/libdl.so.2 (0x00007f85f53a4000)
>         libutil.so.1 => /lib64/libutil.so.1 (0x00007f85f51a0000)
>
>
> If I use Agg then the end of the output with '-v' is the same but I get
> back
> the command line.
> No appearance of the usual cleanup messages that appear after a successful
> run.
>
>
>  Any ideas would be welcome
> thanks in advance.
> (In case it is gentoo-specific I posted this problem on the gentoo forum -
> no answers yet.)
>
>
>
>
>
>
> --
> View this message in context: http://matplotlib.1069221.n5.
> nabble.com/matplotlib-no-output-with-Agg-TkAgg-Qt5Agg-
> stuck-at-ttconv-so-tp47535.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
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From mailinglists at xgm.de  Fri Sep 23 05:08:45 2016
From: mailinglists at xgm.de (Florian Lindner)
Date: Fri, 23 Sep 2016 11:08:45 +0200
Subject: [Matplotlib-users] Plotting and formatting dates
Message-ID: <ns2res$ia4$2@blaine.gmane.org>

Hello,

I have read data with dates using numpy.genfromtxt. The resulting data format is ['datetime64[D]', np.float32, np.float32]}.

Plotting the data works perfect:

dates = finances["Date"]
bar = np.cumsum(finances["Bar"])
giro = np.cumsum(finances["Giro"])
total = bar + giro

fig, ax = plt.subplots()
ax.plot(dates, bar, "-d", label = "Bar")
ax.plot(dates, giro, "-d", label = "Giro")
ax.plot(dates, total, "-D", label = "Gesamt", linewidth=3)


but using a date formatting for the x-axis and a currency format for y-axis does not work:

def formatCurrency(x):
    return '%1.2f ?' % x

locator = matplotlib.dates.AutoDateLocator()
ax.xaxis.set_major_locator(locator)

ax.format_xdata = matplotlib.dates.AutoDateFormatter(locator)
ax.format_ydata = formatCurrency
fig.autofmt_xdate()

ax.grid()
ax.legend()

plt.show()


It simply shows no effect, no ? sign at y-data, the x-data is still an int-like number.

What am I doing wrong?

Thanks,
Florian


From thierry.jolicoeur at u-psud.fr  Fri Sep 23 05:38:21 2016
From: thierry.jolicoeur at u-psud.fr (Thierry)
Date: Fri, 23 Sep 2016 02:38:21 -0700 (MST)
Subject: [Matplotlib-users] matplotlib: no output with Agg - TkAgg -
 Qt5Agg -- stuck at ttconv.so
In-Reply-To: <CANNq6FmNgFQYYcShRkcZ7E4X3Mr9=Yg7sUXCe5c8ufiTRWCpNg@mail.gmail.com>
References: <1474451683789-47535.post@n5.nabble.com>
 <CANNq6FmNgFQYYcShRkcZ7E4X3Mr9=Yg7sUXCe5c8ufiTRWCpNg@mail.gmail.com>
Message-ID: <1474623501586-47541.post@n5.nabble.com>

after a complete rebuild the situation is basically unchanged...
there is no complaint about freetype in the build log

and the typical outcome
here the default backend is Qt5Agg - this is the first wake-up of newborn
matplotlib:


tjoli at skynet ~ % python
Python 2.7.10 (default, Nov 19 2015, 13:26:08) 
[GCC 4.9.3] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from pylab import *
/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py:273:
UserWarning: Matplotlib is building the font cache using fc-list. This may
take a moment.
  warnings.warn('Matplotlib is building the font cache using fc-list. This
may take a moment.')
>>> x=[1.,2.,3.]
>>> y=[2.,3.,4.]
>>> plot(x,y,'o')
[<matplotlib.lines.Line2D object at 0x7fb7f0aff5d0>]
>>> show()
Qt has caught an exception thrown from an event handler. Throwing
exceptions from an event handler is not supported in Qt. You must
reimplement QApplication::notify() and catch all exceptions there.



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From thierry.jolicoeur at u-psud.fr  Fri Sep 23 06:06:57 2016
From: thierry.jolicoeur at u-psud.fr (Thierry)
Date: Fri, 23 Sep 2016 03:06:57 -0700 (MST)
Subject: [Matplotlib-users] matplotlib: no output with Agg - TkAgg -
 Qt5Agg -- stuck at ttconv.so
In-Reply-To: <1474623501586-47541.post@n5.nabble.com>
References: <1474451683789-47535.post@n5.nabble.com>
 <CANNq6FmNgFQYYcShRkcZ7E4X3Mr9=Yg7sUXCe5c8ufiTRWCpNg@mail.gmail.com>
 <1474623501586-47541.post@n5.nabble.com>
Message-ID: <1474625217889-47542.post@n5.nabble.com>

I ran a small script to check fonts:

from matplotlib.font_manager import FontProperties, findfont
fp = FontProperties(family='monospace', 
                        style='normal',
                        variant='normal',
                        weight='normal',
                        stretch='normal',
                        size='medium')
                      
font = findfont(fp)

doing python my_script.py --verbose-debug leads to:

tjoli at skynet Desktop % python fonts.py --verbose-debug
$HOME=/home/tjoli
matplotlib data path /usr/lib64/python2.7/site-packages/matplotlib/mpl-data

*****************************************************************
You have the following UNSUPPORTED LaTeX preamble customizations:

Please do not ask for support with these customizations active.
*****************************************************************

loaded rc file
/usr/lib64/python2.7/site-packages/matplotlib/mpl-data/matplotlibrc
matplotlib version 1.5.3
verbose.level debug
interactive is False
platform is linux2
loaded modules: <dictionary-keyiterator object at 0x7fe41e9879f0>
CACHEDIR=/home/tjoli/.cache/matplotlib
Using fontManager instance from /home/tjoli/.cache/matplotlib/fontList.cache
findfont: Matching
:family=monospace:style=normal:variant=normal:weight=400:stretch=normal:size=medium
to Bitstream Vera Sans Mono
(u'/usr/lib64/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/VeraMono.ttf')
with score of 0.000000
tjoli at skynet Desktop % ls
/usr/lib64/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf
COPYRIGHT.TXT          STIXNonUni.ttf         STIXSizOneSymReg.ttf   
VeraIt.ttf    cmex10.ttf
LICENSE_STIX           STIXNonUniBol.ttf      STIXSizThreeSymBol.ttf 
VeraMoBI.ttf  cmmi10.ttf
README.TXT             STIXNonUniBolIta.ttf   STIXSizThreeSymReg.ttf 
VeraMoBd.ttf  cmr10.ttf
RELEASENOTES.TXT       STIXNonUniIta.ttf      STIXSizTwoSymBol.ttf   
VeraMoIt.ttf  cmss10.ttf
STIXGeneral.ttf        STIXSizFiveSymReg.ttf  STIXSizTwoSymReg.ttf   
VeraMono.ttf  cmsy10.ttf
STIXGeneralBol.ttf     STIXSizFourSymBol.ttf  Vera.ttf               
VeraSe.ttf    cmtt10.ttf
STIXGeneralBolIta.ttf  STIXSizFourSymReg.ttf  VeraBI.ttf             
VeraSeBd.ttf
STIXGeneralItalic.ttf  STIXSizOneSymBol.ttf   VeraBd.ttf             
cmb10.ttf
tjoli at skynet Desktop % 

so the fallback VeraSans are taken into account






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From ben.v.root at gmail.com  Fri Sep 23 09:17:02 2016
From: ben.v.root at gmail.com (Benjamin Root)
Date: Fri, 23 Sep 2016 09:17:02 -0400
Subject: [Matplotlib-users] matplotlib: no output with Agg - TkAgg -
 Qt5Agg -- stuck at ttconv.so
In-Reply-To: <1474625217889-47542.post@n5.nabble.com>
References: <1474451683789-47535.post@n5.nabble.com>
 <CANNq6FmNgFQYYcShRkcZ7E4X3Mr9=Yg7sUXCe5c8ufiTRWCpNg@mail.gmail.com>
 <1474623501586-47541.post@n5.nabble.com>
 <1474625217889-47542.post@n5.nabble.com>
Message-ID: <CANNq6FmpNpBZPb=ismNZriRMe1AzxmdMmUwYArB_HeNGV=r+sw@mail.gmail.com>

The error for Qt5 is a bug that has very recently been fixed. I am pretty
sure it is in v1.5.3. (Well... not exactly fixed, more that it won't crash
the interpreter). It does seem like you are making it further than you were
before. It would be good to see the traceback from the Qt5 failure, and to
know which version of matplotlib you are using.

On Fri, Sep 23, 2016 at 6:06 AM, Thierry <thierry.jolicoeur at u-psud.fr>
wrote:

> I ran a small script to check fonts:
>
> from matplotlib.font_manager import FontProperties, findfont
> fp = FontProperties(family='monospace',
>                         style='normal',
>                         variant='normal',
>                         weight='normal',
>                         stretch='normal',
>                         size='medium')
>
> font = findfont(fp)
>
> doing python my_script.py --verbose-debug leads to:
>
> tjoli at skynet Desktop % python fonts.py --verbose-debug
> $HOME=/home/tjoli
> matplotlib data path /usr/lib64/python2.7/site-
> packages/matplotlib/mpl-data
>
> *****************************************************************
> You have the following UNSUPPORTED LaTeX preamble customizations:
>
> Please do not ask for support with these customizations active.
> *****************************************************************
>
> loaded rc file
> /usr/lib64/python2.7/site-packages/matplotlib/mpl-data/matplotlibrc
> matplotlib version 1.5.3
> verbose.level debug
> interactive is False
> platform is linux2
> loaded modules: <dictionary-keyiterator object at 0x7fe41e9879f0>
> CACHEDIR=/home/tjoli/.cache/matplotlib
> Using fontManager instance from /home/tjoli/.cache/matplotlib/
> fontList.cache
> findfont: Matching
> :family=monospace:style=normal:variant=normal:weight=
> 400:stretch=normal:size=medium
> to Bitstream Vera Sans Mono
> (u'/usr/lib64/python2.7/site-packages/matplotlib/mpl-data/
> fonts/ttf/VeraMono.ttf')
> with score of 0.000000
> tjoli at skynet Desktop % ls
> /usr/lib64/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf
> COPYRIGHT.TXT          STIXNonUni.ttf         STIXSizOneSymReg.ttf
> VeraIt.ttf    cmex10.ttf
> LICENSE_STIX           STIXNonUniBol.ttf      STIXSizThreeSymBol.ttf
> VeraMoBI.ttf  cmmi10.ttf
> README.TXT             STIXNonUniBolIta.ttf   STIXSizThreeSymReg.ttf
> VeraMoBd.ttf  cmr10.ttf
> RELEASENOTES.TXT       STIXNonUniIta.ttf      STIXSizTwoSymBol.ttf
> VeraMoIt.ttf  cmss10.ttf
> STIXGeneral.ttf        STIXSizFiveSymReg.ttf  STIXSizTwoSymReg.ttf
> VeraMono.ttf  cmsy10.ttf
> STIXGeneralBol.ttf     STIXSizFourSymBol.ttf  Vera.ttf
> VeraSe.ttf    cmtt10.ttf
> STIXGeneralBolIta.ttf  STIXSizFourSymReg.ttf  VeraBI.ttf
> VeraSeBd.ttf
> STIXGeneralItalic.ttf  STIXSizOneSymBol.ttf   VeraBd.ttf
> cmb10.ttf
> tjoli at skynet Desktop %
>
> so the fallback VeraSans are taken into account
>
>
>
>
>
>
> --
> View this message in context: http://matplotlib.1069221.n5.
> nabble.com/matplotlib-no-output-with-Agg-TkAgg-Qt5Agg-stuck-at-ttconv-so-
> tp47535p47542.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
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From thierry.jolicoeur at u-psud.fr  Fri Sep 23 09:28:13 2016
From: thierry.jolicoeur at u-psud.fr (Thierry)
Date: Fri, 23 Sep 2016 06:28:13 -0700 (MST)
Subject: [Matplotlib-users] matplotlib: no output with Agg - TkAgg -
 Qt5Agg -- stuck at ttconv.so
In-Reply-To: <CANNq6FmpNpBZPb=ismNZriRMe1AzxmdMmUwYArB_HeNGV=r+sw@mail.gmail.com>
References: <1474451683789-47535.post@n5.nabble.com>
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Message-ID: <1474637293236-47544.post@n5.nabble.com>

This is matplotlib 1.5.3 / python 2.7.10

if I use the Tk backend then the plot window appear but nothing in it and
the process is stuck.
So not sure it has to do with Qt5
I don't see how to get a traceback for such graphical troubles.



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From xavier.gnata at gmail.com  Mon Sep 26 15:39:09 2016
From: xavier.gnata at gmail.com (Xavier Gnata)
Date: Mon, 26 Sep 2016 21:39:09 +0200
Subject: [Matplotlib-users] How to blur "add_patch(Rectangle(..."
Message-ID: <2fe8e9f1-5b1d-40e9-c794-a2211880f301@gmail.com>

Hello,

The code in attachment produces a checkerboard pattern made of rectangles.
How could I blur only some of these Rectangle?
Is it possible to add a filter on top of a 
currentAxis.add_patch(Rectangle( ... ?

Xavier
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From christian at fredborg-braedstrup.dk  Wed Sep 28 09:41:39 2016
From: christian at fredborg-braedstrup.dk (christian at fredborg-braedstrup.dk)
Date: Wed, 28 Sep 2016 15:41:39 +0200
Subject: [Matplotlib-users] Advanced usage of custom hatch with fill_between
Message-ID: <1475070099.2464535.739650417.79E587CE@webmail.messagingengine.com>

Hi,

I would like to make some quite advanced custom hatches and can't figure
out the best way to do it in matplotlib. I am not even sure hatches are
the best way too go about it. Have considered using a png or similar and
overlay that on the image. But I would like to use the fill_between
command and that does not support using pngs in that way.

Here is a example of what I would like my hatch to look like,

http://fredborg-braedstrup.dk/hatch_examples.png

This stack overflow question got me a bit of the way:
http://stackoverflow.com/questions/17285154/how-to-fill-a-polygon-with-a-custom-hatch-in-matplotlib

I have therefore made a polygon to draw the "T" like symbol on a unit
rectangle,

T_path = Polygon(
    [[0.0, -0.2], [0.0, 0.0], [-0.4, 0.0], [0.4, 0.0], [0.0, 0.0], [0.0,
    -0.4]],
    closed=True, fill=False).get_path()

but the symbols are too small and closely spaced.  I have a example
here,

http://fredborg-braedstrup.dk/hatch_mpl_example.png

Is it possible to enlarge the individual symbols (T's) without having
them clip on the unit rectangle? Or perhaps it is possible to only plot
every 5th symbol? It seems quite easy when creating hatch lines and
adding space but I have not found a good solution for general polygons
yet.

If a solution exists without using hatches I am all open to that. Hope
someone can point me in the right direction on this.

Thanks,
Christian

From efiring at hawaii.edu  Fri Sep 30 22:51:18 2016
From: efiring at hawaii.edu (Eric Firing)
Date: Fri, 30 Sep 2016 16:51:18 -1000
Subject: [Matplotlib-users] encoders for animations
Message-ID: <94e0e688-44a8-6132-c662-6bada1c842d6@hawaii.edu>

For making video files the animation module presently supports ffmpeg 
(the default), avconv (a fork of ffmpeg), and mencoder.

Does anyone use mencoder? If so, why?  And would you be seriously 
inconvenienced or otherwise harmed if we ended our only partially 
successful support of mencoder as an option in the animation module?

Thank you.

Eric