From efiring at hawaii.edu  Mon Aug  1 03:16:06 2016
From: efiring at hawaii.edu (Eric Firing)
Date: Sun, 31 Jul 2016 21:16:06 -1000
Subject: [Matplotlib-users] Matplotlib for image processing
In-Reply-To: <1AF2F015-0D03-40A7-8980-E27682CB804A@gmail.com>
References: <1AF2F015-0D03-40A7-8980-E27682CB804A@gmail.com>
Message-ID: <134b694c-961c-1415-3a1a-0dc0e6948d6c@hawaii.edu>

On 2016/07/31 5:40 PM, Dipankar ?Dipu? Ganguly wrote:
> I am trying to teach myself matplotlib for my latest image processing
> project as a replacement for Matlab. I am also using Jupyter.
> Any pointers to  tutorials and/or documents on the topic would be very
> helpful indeed

Have you investigated scikit-image? (http://scikit-image.org/) The 
documentation includes many examples.

Eric


From jfoxrabinovitz at gmail.com  Mon Aug  1 09:29:37 2016
From: jfoxrabinovitz at gmail.com (Joseph Fox-Rabinovitz)
Date: Mon, 1 Aug 2016 09:29:37 -0400
Subject: [Matplotlib-users] Optimally displaying 7 X-Y plots in one
 window
In-Reply-To: <CAM-Pw03G3HSaxf74TuBSnEK-wav6qchn=acf-PZ4d974RJ_5jA@mail.gmail.com>
References: <CAErsVkx6X43QHV-pBa5zUzvKBmbtN8mACYBCyUCBkf2FsPs6fQ@mail.gmail.com>
 <CAM-Pw03G3HSaxf74TuBSnEK-wav6qchn=acf-PZ4d974RJ_5jA@mail.gmail.com>
Message-ID: <CAAa1KPaKt3ZavMUXEgg3b5QeXd9_Ucz6O9RVKA43OEMRr5ZYPA@mail.gmail.com>

https://xkcd.com/1530/

On Sun, Jul 31, 2016 at 4:07 PM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
> did you sent this a bit to early. The last sentence seems to finish rather
> abruptly
>
> On Sun, 31 Jul 2016 at 20:58 Jon Roadley-Battin
> <jon.roadleybattin at gmail.com> wrote:
>>
>> Good evening,
>>
>> I manage a small application where I work that captures data from some
>> bespoke hardware (via USB) and if so which, plot 7 channels.
>>
>> At the moment I just plot the 7 waveforms, with a bit of decorating and
>> for the most part this is fine. There are some relatively common occurrences
>> of data which makes viewing within the application ... tricky
>>
>> Say for insta
>> _______________________________________________
>> Matplotlib-users mailing list
>> Matplotlib-users at python.org
>> 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
>

From jarausch at skynet.be  Wed Aug  3 09:06:00 2016
From: jarausch at skynet.be (Helmut Jarausch)
Date: Wed, 03 Aug 2016 15:06:00 +0200
Subject: [Matplotlib-users] Cannot connect NavigationToolbar2QT
Message-ID: <I+BnfRtcG6S9cy3AGXa2aj@HjGCo8yjWNOeDqrx5FisU>

Hi,

I haven't used Matplotlib for a while but now I cannot use it anymore.
Even the simplest vector plot gives

import matplotlib.pyplot as plt
>>> x=[0.0,0.1,0.2,0.3,0.4,0.5]
>>> y=[x[i]**2 for i in range(0,6)]
>>> plt.plot(x,y)
QObject::connect: Cannot connect NavigationToolbar2QT::message(QString)  
to (null)::_show_message()
Traceback (most recent call last):
   File "<stdin>", line 1, in <module>
   File "/usr/lib64/python3.5/site-packages/matplotlib/pyplot.py", line  
3147, in plot
     ax = gca()
   File "/usr/lib64/python3.5/site-packages/matplotlib/pyplot.py", line  
928, in gca
     return gcf().gca(**kwargs)
   File "/usr/lib64/python3.5/site-packages/matplotlib/pyplot.py", line  
578, in gcf
     return figure()
   File "/usr/lib64/python3.5/site-packages/matplotlib/pyplot.py", line  
527, in figure
     **kwargs)
   File  
"/usr/lib64/python3.5/site-packages/matplotlib/backends/backend_qt5agg.py",  
line 43, in new_figure_manager
     return new_figure_manager_given_figure(num, thisFig)
   File  
"/usr/lib64/python3.5/site-packages/matplotlib/backends/backend_qt5agg.py",  
line 51, in new_figure_manager_given_figure
     return FigureManagerQT(canvas, num)
   File  
"/usr/lib64/python3.5/site-packages/matplotlib/backends/backend_qt5.py",  
line 465, in __init__
     self.toolbar.message.connect(self._show_message)
TypeError: connect() failed between NavigationToolbar2QT.message[str]  
and _show_message()


Has anybody got an idea what's going wrong here?

I have compiled Matploblib from source on my Gentoo system using Python  
3.5.2  with the gtk3 and qt5 backend.

Many thanks for a hint,
Helmut

From tcaswell at gmail.com  Wed Aug  3 09:38:25 2016
From: tcaswell at gmail.com (Thomas Caswell)
Date: Wed, 03 Aug 2016 13:38:25 +0000
Subject: [Matplotlib-users] Cannot connect NavigationToolbar2QT
In-Reply-To: <I+BnfRtcG6S9cy3AGXa2aj@HjGCo8yjWNOeDqrx5FisU>
References: <I+BnfRtcG6S9cy3AGXa2aj@HjGCo8yjWNOeDqrx5FisU>
Message-ID: <CAA48SF86XsLBBXV9E00vcdmG=KA6FukFbMe2JScJzmjOMVEM=w@mail.gmail.com>

This is the same as https://github.com/matplotlib/matplotlib/issues/6853

which is fixed by https://github.com/matplotlib/matplotlib/pull/6854

Tom

On Wed, Aug 3, 2016 at 9:06 AM Helmut Jarausch <jarausch at skynet.be> wrote:

> Hi,
>
> I haven't used Matplotlib for a while but now I cannot use it anymore.
> Even the simplest vector plot gives
>
> import matplotlib.pyplot as plt
> >>> x=[0.0,0.1,0.2,0.3,0.4,0.5]
> >>> y=[x[i]**2 for i in range(0,6)]
> >>> plt.plot(x,y)
> QObject::connect: Cannot connect NavigationToolbar2QT::message(QString)
> to (null)::_show_message()
> Traceback (most recent call last):
>    File "<stdin>", line 1, in <module>
>    File "/usr/lib64/python3.5/site-packages/matplotlib/pyplot.py", line
> 3147, in plot
>      ax = gca()
>    File "/usr/lib64/python3.5/site-packages/matplotlib/pyplot.py", line
> 928, in gca
>      return gcf().gca(**kwargs)
>    File "/usr/lib64/python3.5/site-packages/matplotlib/pyplot.py", line
> 578, in gcf
>      return figure()
>    File "/usr/lib64/python3.5/site-packages/matplotlib/pyplot.py", line
> 527, in figure
>      **kwargs)
>    File
> "/usr/lib64/python3.5/site-packages/matplotlib/backends/backend_qt5agg.py",
> line 43, in new_figure_manager
>      return new_figure_manager_given_figure(num, thisFig)
>    File
> "/usr/lib64/python3.5/site-packages/matplotlib/backends/backend_qt5agg.py",
> line 51, in new_figure_manager_given_figure
>      return FigureManagerQT(canvas, num)
>    File
> "/usr/lib64/python3.5/site-packages/matplotlib/backends/backend_qt5.py",
> line 465, in __init__
>      self.toolbar.message.connect(self._show_message)
> TypeError: connect() failed between NavigationToolbar2QT.message[str]
> and _show_message()
>
>
> Has anybody got an idea what's going wrong here?
>
> I have compiled Matploblib from source on my Gentoo system using Python
> 3.5.2  with the gtk3 and qt5 backend.
>
> Many thanks for a hint,
> Helmut
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
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From antony.lee at berkeley.edu  Wed Aug  3 17:47:56 2016
From: antony.lee at berkeley.edu (Antony Lee)
Date: Wed, 3 Aug 2016 14:47:56 -0700
Subject: [Matplotlib-users] [Matplotlib-devel] New "data cursors for
 matplotlib" package: https://github.com/anntzer/mplcursors
In-Reply-To: <CAA5CsYc3kjf0eXpSOttg3Wkaj=XAe-i7xgmhv1mBcFn0WNEz-w@mail.gmail.com>
References: <CAGRr6BHgVkosL6oWFNg=fPhNi3De5xW4yVsPX=cG7d7HL4J0KQ@mail.gmail.com>
 <CANNq6Fkqqk2PWUUc=qmDvo0qsuwvD7AXqqOiMxHEFo9JAu3tRw@mail.gmail.com>
 <CAGRr6BFqrJTogDAQdJeeSKuHLfRU=LfQX0Zf=QPCvA48VFDsAA@mail.gmail.com>
 <CAA5CsYd+WtxS0tQ=5i6UPxFPGf0JX8dno3BH0nDoeHHh=KQxRg@mail.gmail.com>
 <CAA5CsYc3kjf0eXpSOttg3Wkaj=XAe-i7xgmhv1mBcFn0WNEz-w@mail.gmail.com>
Message-ID: <CAGRr6BG5H4a1r-RwDA9QDzfkLzh3ijgopUuFrTFH0M8=yKJHCg@mail.gmail.com>

I'd be happy to give it a try once the new toolbar becomes usable from Qt
(which is the backend I use all the time) :-)
Note that you can currently already activate mplcursors for any of your
scripts just by setting the MPLCURSORS environment variable to a
JSON-encoded kwargs that will get passed to `mplcursors.cursor()` -- the
simplest being `MPLCURSORS={} python foo.py`.

Antony

2016-08-03 11:56 GMT-07:00 Federico Ariza <ariza.federico at gmail.com>:

> Hi
>
> Super cool!
>
> One idea. Why not add a simple tool (new ToolManager) to
> activate/deactivate the mplcursors at will from the toolbar?
> If you need help don't hesitate to contact me
>
> If it does adapt well as a Tool we can talk about a PR to add it as a
> standard tool.
>
> Good job
> Federico
>
> On Jul 28, 2016 2:09 PM, "Antony Lee" <antony.lee at berkeley.edu> wrote:
>
>
> 2016-07-28 9:51 GMT-07:00 Benjamin Root <ben.v.root at gmail.com>:
>
>> Hey, that is pretty slick! I especially like the decorator option to
>> connecting events to the cursor objects.
>>
> This is a pretty common pattern nowadays, probably could be added to
> matplotlib's event handling code itself.
>
>
>>
>> Kudos!
>>
>> Ben Root
>>
>> On Sun, Jul 24, 2016 at 8:41 PM, Antony Lee <antony.lee at berkeley.edu>
>> wrote:
>>
>>> Hi all,
>>>
>>> I have written a new "data cursors for matplotlib" package, inspired
>>> from @joferkington's mpldatacursor but rewritten from scratch, with a much
>>> simpler API.  Please have a look at
>>> https://github.com/anntzer/mplcursors .
>>>
>>> I hope you'll like it.
>>>
>>> Antony
>>>
>>> _______________________________________________
>>> Matplotlib-devel mailing list
>>> Matplotlib-devel at python.org
>>> https://mail.python.org/mailman/listinfo/matplotlib-devel
>>>
>>>
>>
>
> _______________________________________________
> Matplotlib-devel mailing list
> Matplotlib-devel at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-devel
>
>
>
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From borreguero at gmail.com  Thu Aug  4 10:50:41 2016
From: borreguero at gmail.com (Jose Borreguero)
Date: Thu, 4 Aug 2016 10:50:41 -0400
Subject: [Matplotlib-users] newbie,
 please give me some pointers where to start for the shown graph
Message-ID: <CAEee4gWQ_Mchx8mzig1kFF70uu5o-VOD8MimZxRtQa0+fbkdXA@mail.gmail.com>

Dear Matplotlib users,

I have a fancy graph created in Origin that I want to emulate with
matplotlib:
The curves S(Q,w) have each a constant value for Q, they are stacked along
the Q-axis. I'm a newbie with matplotlib, can you please give me some
pointers, like which classes should I employ to make this figure?

.Jose
?
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From ben.v.root at gmail.com  Thu Aug  4 11:05:07 2016
From: ben.v.root at gmail.com (Benjamin Root)
Date: Thu, 4 Aug 2016 11:05:07 -0400
Subject: [Matplotlib-users] newbie,
 please give me some pointers where to start for the shown graph
In-Reply-To: <CAEee4gWQ_Mchx8mzig1kFF70uu5o-VOD8MimZxRtQa0+fbkdXA@mail.gmail.com>
References: <CAEee4gWQ_Mchx8mzig1kFF70uu5o-VOD8MimZxRtQa0+fbkdXA@mail.gmail.com>
Message-ID: <CANNq6FnkJ_6TBJ7nTkYX1t-sbK9GmzAK8GWFZ06WOs7WbSnQOg@mail.gmail.com>

The gallery is an excellent place to start for questions like these. Here
is the mplot3d section: http://matplotlib.org/gallery.html#mplot3d

Your figure is a combination of the 3d plot() calls for the line portions,
and 3d scatter() calls for the dots (see
http://matplotlib.org/examples/mplot3d/scatter3d_demo.html), and mathtext
for the labels (see
http://matplotlib.org/examples/pylab_examples/mathtext_demo.html). Let us
know if you have questions.

Cheers!
Ben Root


On Thu, Aug 4, 2016 at 10:50 AM, Jose Borreguero <borreguero at gmail.com>
wrote:

> Dear Matplotlib users,
>
> I have a fancy graph created in Origin that I want to emulate with
> matplotlib:
> The curves S(Q,w) have each a constant value for Q, they are stacked along
> the Q-axis. I'm a newbie with matplotlib, can you please give me some
> pointers, like which classes should I employ to make this figure?
>
> .Jose
> ?
>
> _______________________________________________
> 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  Thu Aug  4 11:14:56 2016
From: dipugee at gmail.com (=?utf-8?Q?Dipankar_=E2=80=9CDipu=E2=80=9D_Ganguly?=)
Date: Thu, 4 Aug 2016 08:14:56 -0700
Subject: [Matplotlib-users] newbie,
 please give me some pointers where to start for the shown graph
In-Reply-To: <CANNq6FnkJ_6TBJ7nTkYX1t-sbK9GmzAK8GWFZ06WOs7WbSnQOg@mail.gmail.com>
References: <CAEee4gWQ_Mchx8mzig1kFF70uu5o-VOD8MimZxRtQa0+fbkdXA@mail.gmail.com>
 <CANNq6FnkJ_6TBJ7nTkYX1t-sbK9GmzAK8GWFZ06WOs7WbSnQOg@mail.gmail.com>
Message-ID: <23E93533-DE66-4A1F-B397-67C7DB8152F1@gmail.com>

This is great Benjamin.  Can you send the link to a similar gallery of image reading and display functions? I am especially interested in reading, writing and processing DICOM ultrasound images.

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 Aug 4, 2016, at 8:05 AM, Benjamin Root <ben.v.root at gmail.com> wrote:
> 
> The gallery is an excellent place to start for questions like these. Here is the mplot3d section: http://matplotlib.org/gallery.html#mplot3d <http://matplotlib.org/gallery.html#mplot3d>
> 
> Your figure is a combination of the 3d plot() calls for the line portions, and 3d scatter() calls for the dots (see http://matplotlib.org/examples/mplot3d/scatter3d_demo.html <http://matplotlib.org/examples/mplot3d/scatter3d_demo.html>), and mathtext for the labels (see http://matplotlib.org/examples/pylab_examples/mathtext_demo.html <http://matplotlib.org/examples/pylab_examples/mathtext_demo.html>). Let us know if you have questions.
> 
> Cheers!
> Ben Root
> 
> 
> On Thu, Aug 4, 2016 at 10:50 AM, Jose Borreguero <borreguero at gmail.com <mailto:borreguero at gmail.com>> wrote:
> Dear Matplotlib users,
> 
> I have a fancy graph created in Origin that I want to emulate with matplotlib:
> <junk.jpg>
> The curves S(Q,w) have each a constant value for Q, they are stacked along the Q-axis. I'm a newbie with matplotlib, can you please give me some pointers, like which classes should I employ to make this figure?
> 
> .Jose
> ?
> 
> _______________________________________________
> 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 dipugee at gmail.com  Thu Aug  4 11:22:01 2016
From: dipugee at gmail.com (=?utf-8?Q?Dipankar_=E2=80=9CDipu=E2=80=9D_Ganguly?=)
Date: Thu, 4 Aug 2016 08:22:01 -0700
Subject: [Matplotlib-users] newbie,
 please give me some pointers where to start for the shown graph
In-Reply-To: <CANNq6FnkJ_6TBJ7nTkYX1t-sbK9GmzAK8GWFZ06WOs7WbSnQOg@mail.gmail.com>
References: <CAEee4gWQ_Mchx8mzig1kFF70uu5o-VOD8MimZxRtQa0+fbkdXA@mail.gmail.com>
 <CANNq6FnkJ_6TBJ7nTkYX1t-sbK9GmzAK8GWFZ06WOs7WbSnQOg@mail.gmail.com>
Message-ID: <24BD57E0-2017-427D-A652-B3A5A824239D@gmail.com>

I have a newbie question?

What does this syntax really do? I would really like to understand the basic principles invoked here, especially the function of the ?.? separator. Is there a tutorial that will help me with such things?

Thanks.

Dipu
from matplotlib.pyplot import figure, show
Dipankar Ganguly
Consultant: Strategy/Technology/Commercialization
Bothell, WA
Cell: 408-203-8814
email: dipugee at gmail.com
http://www.linkedin.com/in/dipugee 









> On Aug 4, 2016, at 8:05 AM, Benjamin Root <ben.v.root at gmail.com> wrote:
> 
> The gallery is an excellent place to start for questions like these. Here is the mplot3d section: http://matplotlib.org/gallery.html#mplot3d <http://matplotlib.org/gallery.html#mplot3d>
> 
> Your figure is a combination of the 3d plot() calls for the line portions, and 3d scatter() calls for the dots (see http://matplotlib.org/examples/mplot3d/scatter3d_demo.html <http://matplotlib.org/examples/mplot3d/scatter3d_demo.html>), and mathtext for the labels (see http://matplotlib.org/examples/pylab_examples/mathtext_demo.html <http://matplotlib.org/examples/pylab_examples/mathtext_demo.html>). Let us know if you have questions.
> 
> Cheers!
> Ben Root
> 
> 
> On Thu, Aug 4, 2016 at 10:50 AM, Jose Borreguero <borreguero at gmail.com <mailto:borreguero at gmail.com>> wrote:
> Dear Matplotlib users,
> 
> I have a fancy graph created in Origin that I want to emulate with matplotlib:
> <junk.jpg>
> The curves S(Q,w) have each a constant value for Q, they are stacked along the Q-axis. I'm a newbie with matplotlib, can you please give me some pointers, like which classes should I employ to make this figure?
> 
> .Jose
> ?
> 
> _______________________________________________
> 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 ben.v.root at gmail.com  Thu Aug  4 12:01:23 2016
From: ben.v.root at gmail.com (Benjamin Root)
Date: Thu, 4 Aug 2016 12:01:23 -0400
Subject: [Matplotlib-users] newbie,
 please give me some pointers where to start for the shown graph
In-Reply-To: <24BD57E0-2017-427D-A652-B3A5A824239D@gmail.com>
References: <CAEee4gWQ_Mchx8mzig1kFF70uu5o-VOD8MimZxRtQa0+fbkdXA@mail.gmail.com>
 <CANNq6FnkJ_6TBJ7nTkYX1t-sbK9GmzAK8GWFZ06WOs7WbSnQOg@mail.gmail.com>
 <24BD57E0-2017-427D-A652-B3A5A824239D@gmail.com>
Message-ID: <CANNq6Fm5a81xoeT0+TAgukD4qxA2iFQGrQ0Uwyk4ntXBPL46sQ@mail.gmail.com>

Dipu,

I think you would benefit from Software Carpentry lessons to give you a leg
up. It is geared towards scientists, but it should be useful none-the-less:
http://software-carpentry.org/lessons/

My personal recommendation for a book is O'Reilly's "Learning Python":
http://shop.oreilly.com/product/0636920028154.do. I read this book during a
4 hour plane ride. I got on the plane with no python knowledge, and I came
off the plane with enough knowledge to understand the examples posted
online and ask specific questions on mailing lists.

I hope these suggestions are useful!
Ben Root


On Thu, Aug 4, 2016 at 11:22 AM, Dipankar ?Dipu? Ganguly <dipugee at gmail.com>
wrote:

> I have a newbie question?
>
> What does this syntax really do? I would really like to understand the
> basic principles invoked here, especially the function of the ?.?
> separator. Is there a tutorial that will help me with such things?
>
> Thanks.
>
> Dipu
>
> from matplotlib.pyplot import figure, show
>
> Dipankar Ganguly
> Consultant: Strategy/Technology/Commercialization
> Bothell, WA
> Cell: 408-203-8814
> email: dipugee at gmail.com
> http://www.linkedin.com/in/dipugee
>
>
>
>
>
>
>
>
>
> On Aug 4, 2016, at 8:05 AM, Benjamin Root <ben.v.root at gmail.com> wrote:
>
> The gallery is an excellent place to start for questions like these. Here
> is the mplot3d section: http://matplotlib.org/gallery.html#mplot3d
>
> Your figure is a combination of the 3d plot() calls for the line portions,
> and 3d scatter() calls for the dots (see http://matplotlib.org/
> examples/mplot3d/scatter3d_demo.html), and mathtext for the labels (see
> http://matplotlib.org/examples/pylab_examples/mathtext_demo.html). Let us
> know if you have questions.
>
> Cheers!
> Ben Root
>
>
> On Thu, Aug 4, 2016 at 10:50 AM, Jose Borreguero <borreguero at gmail.com>
> wrote:
>
>> Dear Matplotlib users,
>>
>> I have a fancy graph created in Origin that I want to emulate with
>> matplotlib:
>> <junk.jpg>
>> The curves S(Q,w) have each a constant value for Q, they are stacked
>> along the Q-axis. I'm a newbie with matplotlib, can you please give me some
>> pointers, like which classes should I employ to make this figure?
>>
>> .Jose
>> ?
>>
>> _______________________________________________
>> Matplotlib-users mailing list
>> Matplotlib-users at python.org
>> 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 jslavin at cfa.harvard.edu  Thu Aug  4 15:04:57 2016
From: jslavin at cfa.harvard.edu (Slavin, Jonathan)
Date: Thu, 4 Aug 2016 15:04:57 -0400
Subject: [Matplotlib-users] combining line plot with grid of images
Message-ID: <CACcRS=feWiaAvAKm+v6kB3gwPFoBHM-5AecXmWr-FsYzyhvxhw@mail.gmail.com>

Hi all,

I've been trying to create a plot that includes 3 images and one line plot
in a 2 x 2 arrangement.  I've used mpl_toolkits.axes_grid1.ImageGrid before
to successfully create 2 x 2 grids of all images, but in this case the
inclusion of the line plot, with different x and y scales, seems to mess
the whole thing up.  I've included the share_all = False argument to
AxesGrid, but it doesn't help.  If I do something like:
grid = AxesGrid(fig, 111, nrows_ncols=(2,2), share_all=False)
grid[0].imshow(img0)
grid[1].imshow(img1)
grid[2].imshow(img2)
all is okay, though a blank plot is shown in the bottom right position.  If
I then do something like
grid[3].plot(x,y)
with x and y having different dimensions from the images, then all the
image panels are messed up.  I would've thought that setting share_all =
False would have prevented that.  Any suggestions would be appreciated.

Thanks,
Jon

-- 
________________________________________________________
Jonathan D. Slavin                 Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu       60 Garden Street, MS 83
phone: (617) 496-7981       Cambridge, MA 02138-1516
cell: (781) 363-0035             USA
________________________________________________________
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From dipugee at gmail.com  Thu Aug 11 00:33:35 2016
From: dipugee at gmail.com (Dipugee)
Date: Wed, 10 Aug 2016 21:33:35 -0700 (MST)
Subject: [Matplotlib-users] Source code
Message-ID: <1470890015795-47375.post@n5.nabble.com>

Is there a way for me to access the source code for the edge filters in
matplotlib?Thanks.Dipu



--
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From pmhobson at gmail.com  Thu Aug 11 00:58:12 2016
From: pmhobson at gmail.com (Paul Hobson)
Date: Wed, 10 Aug 2016 21:58:12 -0700
Subject: [Matplotlib-users] Source code
In-Reply-To: <1470890015795-47375.post@n5.nabble.com>
References: <1470890015795-47375.post@n5.nabble.com>
Message-ID: <CADT3MEBPcSmRZo8Tfo-JXHoHN2PuB4raoBtDMfx0eXaW3StECw@mail.gmail.com>

On Wed, Aug 10, 2016 at 9:33 PM, Dipugee <dipugee at gmail.com> wrote:

> Is there a way for me to access the source code for the edge filters in
> matplotlib? Thanks. Dipu
> ------------------------------
>

Matplotlib is an open source project. The source code is hosting on github:
https://github.com/matplotlib/matplotlib
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From dipugee at gmail.com  Thu Aug 11 01:53:59 2016
From: dipugee at gmail.com (Dipugee)
Date: Wed, 10 Aug 2016 22:53:59 -0700 (MST)
Subject: [Matplotlib-users] Source code
In-Reply-To: <CADT3MEBPcSmRZo8Tfo-JXHoHN2PuB4raoBtDMfx0eXaW3StECw@mail.gmail.com>
References: <1470890015795-47375.post@n5.nabble.com>
 <CADT3MEBPcSmRZo8Tfo-JXHoHN2PuB4raoBtDMfx0eXaW3StECw@mail.gmail.com>
Message-ID: <B4BBB20D-0101-4B64-8F98-189917EABC76@gmail.com>

Thanks Paul. I am new to Python and Github. There is lot to dig through. Can you point to a link/document that gives me a searchable roadmap and/or index for all the code elements for matplotlib.

Dipu


Dipankar ?Dipu? Ganguly
dipugee at gmail.com
Cell: 408-203-8814







> On Aug 10, 2016, at 9:59 PM, Paul Hobson-2 [via matplotlib] <ml-node+s1069221n47376h6 at n5.nabble.com> wrote:
> 
> 
> 
> On Wed, Aug 10, 2016 at 9:33 PM, Dipugee <[hidden email] <x-msg://28/user/SendEmail.jtp?type=node&node=47376&i=0>> wrote:
> Is there a way for me to access the source code for the edge filters in matplotlib? Thanks. Dipu 
> 
> Matplotlib is an open source project. The source code is hosting on github: https://github.com/matplotlib/matplotlib <https://github.com/matplotlib/matplotlib> 
> 
> 
> _______________________________________________ 
> Matplotlib-users mailing list 
> [hidden email] <x-msg://28/user/SendEmail.jtp?type=node&node=47376&i=1> 
> https://mail.python.org/mailman/listinfo/matplotlib-users <https://mail.python.org/mailman/listinfo/matplotlib-users>
> 
> 
> If you reply to this email, your message will be added to the discussion below:
> http://matplotlib.1069221.n5.nabble.com/Source-code-tp47375p47376.html <http://matplotlib.1069221.n5.nabble.com/Source-code-tp47375p47376.html>
> To unsubscribe from Source code, click here <http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_code&node=47375&code=ZGlwdWdlZUBnbWFpbC5jb218NDczNzV8MTcxMDEwNzUzNA==>.
> NAML <http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml>




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From efiring at hawaii.edu  Thu Aug 11 02:15:39 2016
From: efiring at hawaii.edu (Eric Firing)
Date: Wed, 10 Aug 2016 20:15:39 -1000
Subject: [Matplotlib-users] Source code
In-Reply-To: <1470890015795-47375.post@n5.nabble.com>
References: <1470890015795-47375.post@n5.nabble.com>
Message-ID: <b6168f20-b3d9-399f-e195-9655df6e04f8@hawaii.edu>

On 2016/08/10 6:33 PM, Dipugee wrote:
> Is there a way for me to access the source code for the edge filters in
> matplotlib? Thanks. Dipu

I'm not aware that we have edge filters at all.  It sounds like maybe 
you need scikit-image, not matplotlib.

Eric

From jenshnielsen at gmail.com  Thu Aug 11 12:47:34 2016
From: jenshnielsen at gmail.com (Jens Nielsen)
Date: Thu, 11 Aug 2016 16:47:34 +0000
Subject: [Matplotlib-users] Fw: Matplotlib Figure margin transparancy
In-Reply-To: <1629578972.11836424.1470932929152.JavaMail.yahoo@mail.yahoo.com>
References: <1074502846.8976369.1470373577355.JavaMail.yahoo.ref@mail.yahoo.com>
 <1074502846.8976369.1470373577355.JavaMail.yahoo@mail.yahoo.com>
 <98196673.9419492.1470462972338.JavaMail.yahoo@mail.yahoo.com>
 <387513974.10971353.1470801664172.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw01aBWPkmgd-13WvSju2b9Lq1BUBRYmV7hbZvu3F22j4Cg@mail.gmail.com>
 <CANNq6FkMeoRxwqApFLebwsXGnEP7wUaVPD+visbDgMadbZYkoQ@mail.gmail.com>
 <1629578972.11836424.1470932929152.JavaMail.yahoo@mail.yahoo.com>
Message-ID: <CAM-Pw00i3yK4qa8=wKf=+NT9qen+Gqwrwj+EGfAbkvi3ZzcagA@mail.gmail.com>

The relevant parameters are

figure.facecolor
and
savefigure.facecolor

but as I indicated before I think your issue is due to an out of date
version of Jupyter/IPython and is fixed in the latest version. Please can
you check which versions you are running
I think the issue that you are seeing is
https://github.com/ipython/ipython/issues/7964 which was fixed in IPython
3.2


best
Jens


On Thu, 11 Aug 2016 at 17:33 Sudheer Joseph <sudheer.joseph at yahoo.com>
wrote:

> Thank you Benjamin & Jens,
>                                                   I have registered in
> python.org now. Regarding the issue I had already checked the
> matplotlibrc parameters. I tried increasing margin option but resulting in
> only plot getting shrunk. There is no apparent effect for facecolor
> parameter. May I know which parameter sets the margin as non-transparent?
> With best regards,
> Sudheer
>
>
>
>
> On Wednesday, 10 August 2016 8:19 PM, Benjamin Root <ben.v.root at gmail.com>
> wrote:
>
> The other reason why this message never got posted is because this message
> was sent to the now defunct mailing list hosted by sourceforge. The mailing
> list moved about a year ago (I think) to python.org. You will have to
> subscribe in order to post unmoderated.
>
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
> Ben Root
>
> On Wed, Aug 10, 2016 at 4:25 AM, Jens Nielsen <jenshnielsen at gmail.com>
> wrote:
>
> At least for me gmail put your mail in the spam folder.
>
> Anyway the inline backend is actually from in IPython/Jupyter and not in
> matplotlib. I think they have changed the default a couple of times and had
> the transparent as a default earlier but changed it. Looking at the current
> master it looks like they are respecting the matplotlib default colors
> from the matplotlib rc params. Can you please check which version on
> IPython and Jupyter you are running.
>
> You can change the matplotlib rc parameters as described in the docs http://matplotlib.org/
> users/customizing.html# customizing-matplotlib
> <http://matplotlib.org/users/customizing.html#customizing-matplotlib> but
> the default ones should be white.
>
> best
> Jens
>
>
> On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph at yahoo.com>
> wrote:
>
> Hi,
> I have send below query to matplotlib user group recently but did not get
> posted so far. Can you please tell me is there is any thin wrong with the
> message?
> With best regards,
> Sudheer
>
> >
> > Dear Expert,
> >                 Recently after up-gradation of matplotlib and ubuntu
> 16.04 I am
> > getting transparent figure axis when using the "linux color scheme"
> > option in ipython qtconsole. May I know if there is a way to fix this
> issue?. I
> > wanted to keep black screen as it reduces eye strain.
> >
> > ipython qtconsole --matplotlib inline
> >
> > If I save the image i am able to get axis properly but to see on screen
> as the
> > axis is not plotted with white background the black axis line and labels
> are not
> > visible. Earlier I used to get figures as attached in second figure.
> > Earlier Satus which I am looking for below link
> > https://drive.google.com/open? id= 0B3heUQNme7G5ZmVlUHpRakZxUlk
> > Present status without boarder below link
> >
> >
> > https://drive.google.com/open? id= 0B3heUQNme7G5VkhZWHhiUnpfWDg
> >
> > Kindly suggest a solution
> > with best regards,
> > Sudheer
> >
>
> ------------------------------ ------------------------------
> ------------------
> What NetFlow Analyzer can do for you? Monitors network bandwidth and
> traffic
> patterns at an interface-level. Reveals which users, apps, and protocols
> are
> consuming the most bandwidth. Provides multi-vendor support for NetFlow,
> J-Flow, sFlow and other flows. Make informed decisions using capacity
> planning reports. http://sdm.link/zohodev2dev
> ______________________________ _________________
> Matplotlib-users mailing list
>
>
> Matplotlib-users at lists. sourceforge.net
> https://lists.sourceforge.net/ lists/listinfo/matplotlib- users
>
>
> ------------------------------ ------------------------------
> ------------------
> What NetFlow Analyzer can do for you? Monitors network bandwidth and
> traffic
> patterns at an interface-level. Reveals which users, apps, and protocols
> are
> consuming the most bandwidth. Provides multi-vendor support for NetFlow,
> J-Flow, sFlow and other flows. Make informed decisions using capacity
> planning reports. http://sdm.link/zohodev2dev
> ______________________________ _________________
> Matplotlib-users mailing list
> Matplotlib-users at lists. sourceforge.net
> <Matplotlib-users at lists.sourceforge.net>
> https://lists.sourceforge.net/ lists/listinfo/matplotlib- users
> <https://lists.sourceforge.net/lists/listinfo/matplotlib-users>
>
>
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From sudheer.joseph at yahoo.com  Thu Aug 11 12:53:40 2016
From: sudheer.joseph at yahoo.com (Sudheer Joseph)
Date: Thu, 11 Aug 2016 16:53:40 +0000 (UTC)
Subject: [Matplotlib-users] Fw: Matplotlib Figure margin transparancy
In-Reply-To: <CAM-Pw00i3yK4qa8=wKf=+NT9qen+Gqwrwj+EGfAbkvi3ZzcagA@mail.gmail.com>
References: <1074502846.8976369.1470373577355.JavaMail.yahoo.ref@mail.yahoo.com>
 <1074502846.8976369.1470373577355.JavaMail.yahoo@mail.yahoo.com>
 <98196673.9419492.1470462972338.JavaMail.yahoo@mail.yahoo.com>
 <387513974.10971353.1470801664172.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw01aBWPkmgd-13WvSju2b9Lq1BUBRYmV7hbZvu3F22j4Cg@mail.gmail.com>
 <CANNq6FkMeoRxwqApFLebwsXGnEP7wUaVPD+visbDgMadbZYkoQ@mail.gmail.com>
 <1629578972.11836424.1470932929152.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw00i3yK4qa8=wKf=+NT9qen+Gqwrwj+EGfAbkvi3ZzcagA@mail.gmail.com>
Message-ID: <20608107.11861840.1470934420482.JavaMail.yahoo@mail.yahoo.com>

 blockquote, div.yahoo_quoted { margin-left: 0 !important; border-left:1px #715FFA solid !important; padding-left:1ex !important; background-color:white !important; }  
Thank you,I am having oldverdion 1.2 but if i upgrade many system related things are getting affected. So bit worried how to handle this..
Sudheer?
Sent from Yahoo Mail for iPhone


On Thursday, August 11, 2016, 10:17 PM, Jens Nielsen <jenshnielsen at gmail.com> wrote:

The relevant parameters are?
figure.facecolor
andsavefigure.facecolor
but as I indicated before I think your issue is due to an out of date version of Jupyter/IPython and is fixed in the latest version. Please can you check which versions you are runningI think the issue that you are seeing is?https://github.com/ipython/ipython/issues/7964?which was fixed in IPython 3.2

bestJens

On Thu, 11 Aug 2016 at 17:33 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:

Thank you Benjamin & Jens,? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? I have registered in python.org now. Regarding the issue I had already checked the matplotlibrc parameters. I tried increasing margin option but resulting in only plot getting shrunk. There is no apparent effect for facecolor parameter. May I know which parameter sets the margin as non-transparent?With best regards,Sudheer 

 

    On Wednesday, 10 August 2016 8:19 PM, Benjamin Root <ben.v.root at gmail.com> wrote:
 
The other reason why this message never got posted is because this message was sent to the now defunct mailing list hosted by sourceforge. The mailing list moved about a year ago (I think) to python.org. You will have to subscribe in order to post unmoderated.

https://mail.python.org/mailman/listinfo/matplotlib-users

Ben Root


On Wed, Aug 10, 2016 at 4:25 AM, Jens Nielsen <jenshnielsen at gmail.com> wrote:



At least for me gmail put your mail in the spam folder.
Anyway the inline backend is actually from in IPython/Jupyter and not in matplotlib. I think they have changed the default a couple of times and had the transparent as a default earlier but changed it. Looking at the current master it looks like they are respecting the matplotlib default colors from the matplotlib rc params. Can you please check which version on IPython and Jupyter you are running. ?




You can change the matplotlib rc parameters as described in the docs?http://matplotlib.org/ users/customizing.html# customizing-matplotlib?but the default ones should be white.
bestJens




On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:

Hi,
I have send below query to matplotlib user group recently but did not get posted so far. Can you please tell me is there is any thin wrong with the message?
With best regards,
Sudheer

>
> Dear Expert,
>? ? ? ? ? ? ? ? ?Recently after up-gradation of matplotlib and ubuntu 16.04 I am
> getting transparent figure axis when using the "linux color scheme"
> option in ipython qtconsole. May I know if there is a way to fix this issue?. I
> wanted to keep black screen as it reduces eye strain.
>
> ipython qtconsole --matplotlib inline
>
> If I save the image i am able to get axis properly but to see on screen as the
> axis is not plotted with white background the black axis line and labels are not
> visible. Earlier I used to get figures as attached in second figure.
> Earlier Satus which I am looking for below link
> https://drive.google.com/open? id= 0B3heUQNme7G5ZmVlUHpRakZxUlk
> Present status without boarder below link
>
>
> https://drive.google.com/open? id= 0B3heUQNme7G5VkhZWHhiUnpfWDg
>
> Kindly suggest a solution
> with best regards,
> Sudheer
>

------------------------------ ------------------------------ ------------------
What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
patterns at an interface-level. Reveals which users, apps, and protocols are
consuming the most bandwidth. Provides multi-vendor support for NetFlow,
J-Flow, sFlow and other flows. Make informed decisions using capacity
planning reports. http://sdm.link/zohodev2dev
______________________________ _________________
Matplotlib-users mailing list

Matplotlib-users at lists. sourceforge.net
https://lists.sourceforge.net/ lists/listinfo/matplotlib- users




------------------------------ ------------------------------ ------------------
What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
patterns at an interface-level. Reveals which users, apps, and protocols are
consuming the most bandwidth. Provides multi-vendor support for NetFlow,
J-Flow, sFlow and other flows. Make informed decisions using capacity
planning reports. http://sdm.link/zohodev2dev
______________________________ _________________
Matplotlib-users mailing list
Matplotlib-users at lists. sourceforge.net
https://lists.sourceforge.net/ lists/listinfo/matplotlib- users




 

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From sudheer.joseph at yahoo.com  Fri Aug 12 02:23:06 2016
From: sudheer.joseph at yahoo.com (Sudheer Joseph)
Date: Fri, 12 Aug 2016 06:23:06 +0000 (UTC)
Subject: [Matplotlib-users] Fw: Matplotlib Figure margin transparancy
In-Reply-To: <20608107.11861840.1470934420482.JavaMail.yahoo@mail.yahoo.com>
References: <1074502846.8976369.1470373577355.JavaMail.yahoo.ref@mail.yahoo.com>
 <1074502846.8976369.1470373577355.JavaMail.yahoo@mail.yahoo.com>
 <98196673.9419492.1470462972338.JavaMail.yahoo@mail.yahoo.com>
 <387513974.10971353.1470801664172.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw01aBWPkmgd-13WvSju2b9Lq1BUBRYmV7hbZvu3F22j4Cg@mail.gmail.com>
 <CANNq6FkMeoRxwqApFLebwsXGnEP7wUaVPD+visbDgMadbZYkoQ@mail.gmail.com>
 <1629578972.11836424.1470932929152.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw00i3yK4qa8=wKf=+NT9qen+Gqwrwj+EGfAbkvi3ZzcagA@mail.gmail.com>
 <20608107.11861840.1470934420482.JavaMail.yahoo@mail.yahoo.com>
Message-ID: <1517479868.11744437.1470982986506.JavaMail.yahoo@mail.yahoo.com>

Thank you I got it fixed after following the link of bug report.I have added?rcParams['figure.facecolor'] = 'w'
in 00_startup.py file in my ipython startup directory which fixed the issue?*************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com *************************************************************** 

   

 On Thursday, 11 August 2016 10:26 PM, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
 
 

 #yiv4255857767 blockquote, #yiv4255857767 div.yiv4255857767yahoo_quoted {margin-left:0 !important;border-left:1px #715FFA solid !important;padding-left:1ex !important;background-color:white;} 
Thank you,I am having oldverdion 1.2 but if i upgrade many system related things are getting affected. So bit worried how to handle this..
Sudheer?
Sent from Yahoo Mail for iPhone

On Thursday, August 11, 2016, 10:17 PM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
The relevant parameters are?
figure.facecolor
andsavefigure.facecolor
but as I indicated before I think your issue is due to an out of date version of Jupyter/IPython and is fixed in the latest version. Please can you check which versions you are runningI think the issue that you are seeing is?https://github.com/ipython/ipython/issues/7964?which was fixed in IPython 3.2

bestJens

On Thu, 11 Aug 2016 at 17:33 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:

Thank you Benjamin & Jens,? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? I have registered in python.org now. Regarding the issue I had already checked the matplotlibrc parameters. I tried increasing margin option but resulting in only plot getting shrunk. There is no apparent effect for facecolor parameter. May I know which parameter sets the margin as non-transparent?With best regards,Sudheer 

 

    On Wednesday, 10 August 2016 8:19 PM, Benjamin Root <ben.v.root at gmail.com> wrote:
 
The other reason why this message never got posted is because this message was sent to the now defunct mailing list hosted by sourceforge. The mailing list moved about a year ago (I think) to python.org. You will have to subscribe in order to post unmoderated.

https://mail.python.org/mailman/listinfo/matplotlib-users

Ben Root


On Wed, Aug 10, 2016 at 4:25 AM, Jens Nielsen <jenshnielsen at gmail.com> wrote:



At least for me gmail put your mail in the spam folder.
Anyway the inline backend is actually from in IPython/Jupyter and not in matplotlib. I think they have changed the default a couple of times and had the transparent as a default earlier but changed it. Looking at the current master it looks like they are respecting the matplotlib default colors from the matplotlib rc params. Can you please check which version on IPython and Jupyter you are running. ?




You can change the matplotlib rc parameters as described in the docs?http://matplotlib.org/ users/customizing.html# customizing-matplotlib?but the default ones should be white.
bestJens




On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:

Hi,
I have send below query to matplotlib user group recently but did not get posted so far. Can you please tell me is there is any thin wrong with the message?
With best regards,
Sudheer

>
> Dear Expert,
>? ? ? ? ? ? ? ? ?Recently after up-gradation of matplotlib and ubuntu 16.04 I am
> getting transparent figure axis when using the "linux color scheme"
> option in ipython qtconsole. May I know if there is a way to fix this issue?. I
> wanted to keep black screen as it reduces eye strain.
>
> ipython qtconsole --matplotlib inline
>
> If I save the image i am able to get axis properly but to see on screen as the
> axis is not plotted with white background the black axis line and labels are not
> visible. Earlier I used to get figures as attached in second figure.
> Earlier Satus which I am looking for below link
> https://drive.google.com/open? id= 0B3heUQNme7G5ZmVlUHpRakZxUlk
> Present status without boarder below link
>
>
> https://drive.google.com/open? id= 0B3heUQNme7G5VkhZWHhiUnpfWDg
>
> Kindly suggest a solution
> with best regards,
> Sudheer
>

------------------------------ ------------------------------ ------------------
What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
patterns at an interface-level. Reveals which users, apps, and protocols are
consuming the most bandwidth. Provides multi-vendor support for NetFlow,
J-Flow, sFlow and other flows. Make informed decisions using capacity
planning reports. http://sdm.link/zohodev2dev
______________________________ _________________
Matplotlib-users mailing list

Matplotlib-users at lists. sourceforge.net
https://lists.sourceforge.net/ lists/listinfo/matplotlib- users




------------------------------ ------------------------------ ------------------
What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
patterns at an interface-level. Reveals which users, apps, and protocols are
consuming the most bandwidth. Provides multi-vendor support for NetFlow,
J-Flow, sFlow and other flows. Make informed decisions using capacity
planning reports. http://sdm.link/zohodev2dev
______________________________ _________________
Matplotlib-users mailing list
Matplotlib-users at lists. sourceforge.net
https://lists.sourceforge.net/ lists/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 sudheer.joseph at yahoo.com  Sat Aug 13 13:54:04 2016
From: sudheer.joseph at yahoo.com (Sudheer Joseph)
Date: Sat, 13 Aug 2016 17:54:04 +0000 (UTC)
Subject: [Matplotlib-users] Fw: Matplotlib Figure margin transparancy
In-Reply-To: <1517479868.11744437.1470982986506.JavaMail.yahoo@mail.yahoo.com>
References: <1074502846.8976369.1470373577355.JavaMail.yahoo.ref@mail.yahoo.com>
 <1074502846.8976369.1470373577355.JavaMail.yahoo@mail.yahoo.com>
 <98196673.9419492.1470462972338.JavaMail.yahoo@mail.yahoo.com>
 <387513974.10971353.1470801664172.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw01aBWPkmgd-13WvSju2b9Lq1BUBRYmV7hbZvu3F22j4Cg@mail.gmail.com>
 <CANNq6FkMeoRxwqApFLebwsXGnEP7wUaVPD+visbDgMadbZYkoQ@mail.gmail.com>
 <1629578972.11836424.1470932929152.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw00i3yK4qa8=wKf=+NT9qen+Gqwrwj+EGfAbkvi3ZzcagA@mail.gmail.com>
 <20608107.11861840.1470934420482.JavaMail.yahoo@mail.yahoo.com>
 <1517479868.11744437.1470982986506.JavaMail.yahoo@mail.yahoo.com>
Message-ID: <103083546.12553691.1471110844731.JavaMail.yahoo@mail.yahoo.com>

Hi all,? ? ? ? ? ? ? ? After following suggestion to upgrade to jupyter, I have installed jupyter. but not able to start either jupyter or ipython with --pylab inline mode .If I start?sjo at SJOLTP../.jupyter~$ ipython qtconsole --pylab inline[TerminalIPythonApp] WARNING | Subcommand `ipython qtconsole` is deprecated and will be removed in future versions.
I wont sart qtconsole.If I start jupyter after going to .jupyter directory it starts with pylab inline taking it form profile file ipython_config.pyIf I go to any other directory it wont take the configuration file.I have below line in the above ipython_config.pyc.TerminalIPythonApp.profile = u'/home/sjo/.jupyter/ipython_config.py'

However none works for me to make pylab inline option.Can any one throw some light in to this issue?
sjo at SJOLTP../.jupyter~$ lsipython_config.py ?jupyter.desktop ? ? jupyter_qtconsole_config.py ?pynb ?startupipython.desktop ? ?jupyter_nb.desktop ?migrated ? ? ? ? ? ? ? ? ? ? qtpysjo at SJOLTP../.jupyter~$ pwd/home/sjo/.jupytersjo at SJOLTP../.jupyter~$ lsipython_config.py ?jupyter.desktop ? ? jupyter_qtconsole_config.py ?pynb ?startupipython.desktop ? ?jupyter_nb.desktop ?migrated ? ? ? ? ? ? ? ? ? ? qtpysjo at SJOLTP../.jupyter~$ jupyter --version4.1.1sjo at SJOLTP../.jupyter~$ ipython --version5.0.0sjo at SJOLTP../.jupyter~$?
?*************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com *************************************************************** 

    On Friday, 12 August 2016 12:02 PM, Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
 
 

 Thank you I got it fixed after following the link of bug report.I have added?rcParams['figure.facecolor'] = 'w'
in 00_startup.py file in my ipython startup directory which fixed the issue?*************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com *************************************************************** 

   

 On Thursday, 11 August 2016 10:26 PM, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
 
 

 #yiv4716847049 blockquote, #yiv4716847049 div.yiv4716847049yahoo_quoted {margin-left:0 !important;border-left:1px #715FFA solid !important;padding-left:1ex !important;background-color:white;} 
Thank you,I am having oldverdion 1.2 but if i upgrade many system related things are getting affected. So bit worried how to handle this..
Sudheer?
Sent from Yahoo Mail for iPhone

On Thursday, August 11, 2016, 10:17 PM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
The relevant parameters are?
figure.facecolor
andsavefigure.facecolor
but as I indicated before I think your issue is due to an out of date version of Jupyter/IPython and is fixed in the latest version. Please can you check which versions you are runningI think the issue that you are seeing is?https://github.com/ipython/ipython/issues/7964?which was fixed in IPython 3.2

bestJens

On Thu, 11 Aug 2016 at 17:33 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:

Thank you Benjamin & Jens,? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? I have registered in python.org now. Regarding the issue I had already checked the matplotlibrc parameters. I tried increasing margin option but resulting in only plot getting shrunk. There is no apparent effect for facecolor parameter. May I know which parameter sets the margin as non-transparent?With best regards,Sudheer 

 

    On Wednesday, 10 August 2016 8:19 PM, Benjamin Root <ben.v.root at gmail.com> wrote:
 
The other reason why this message never got posted is because this message was sent to the now defunct mailing list hosted by sourceforge. The mailing list moved about a year ago (I think) to python.org. You will have to subscribe in order to post unmoderated.

https://mail.python.org/mailman/listinfo/matplotlib-users

Ben Root


On Wed, Aug 10, 2016 at 4:25 AM, Jens Nielsen <jenshnielsen at gmail.com> wrote:



At least for me gmail put your mail in the spam folder.
Anyway the inline backend is actually from in IPython/Jupyter and not in matplotlib. I think they have changed the default a couple of times and had the transparent as a default earlier but changed it. Looking at the current master it looks like they are respecting the matplotlib default colors from the matplotlib rc params. Can you please check which version on IPython and Jupyter you are running. ?




You can change the matplotlib rc parameters as described in the docs?http://matplotlib.org/ users/customizing.html# customizing-matplotlib?but the default ones should be white.
bestJens




On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:

Hi,
I have send below query to matplotlib user group recently but did not get posted so far. Can you please tell me is there is any thin wrong with the message?
With best regards,
Sudheer

>
> Dear Expert,
>? ? ? ? ? ? ? ? ?Recently after up-gradation of matplotlib and ubuntu 16.04 I am
> getting transparent figure axis when using the "linux color scheme"
> option in ipython qtconsole. May I know if there is a way to fix this issue?. I
> wanted to keep black screen as it reduces eye strain.
>
> ipython qtconsole --matplotlib inline
>
> If I save the image i am able to get axis properly but to see on screen as the
> axis is not plotted with white background the black axis line and labels are not
> visible. Earlier I used to get figures as attached in second figure.
> Earlier Satus which I am looking for below link
> https://drive.google.com/open? id= 0B3heUQNme7G5ZmVlUHpRakZxUlk
> Present status without boarder below link
>
>
> https://drive.google.com/open? id= 0B3heUQNme7G5VkhZWHhiUnpfWDg
>
> Kindly suggest a solution
> with best regards,
> Sudheer
>

------------------------------ ------------------------------ ------------------
What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
patterns at an interface-level. Reveals which users, apps, and protocols are
consuming the most bandwidth. Provides multi-vendor support for NetFlow,
J-Flow, sFlow and other flows. Make informed decisions using capacity
planning reports. http://sdm.link/zohodev2dev
______________________________ _________________
Matplotlib-users mailing list

Matplotlib-users at lists. sourceforge.net
https://lists.sourceforge.net/ lists/listinfo/matplotlib- users




------------------------------ ------------------------------ ------------------
What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
patterns at an interface-level. Reveals which users, apps, and protocols are
consuming the most bandwidth. Provides multi-vendor support for NetFlow,
J-Flow, sFlow and other flows. Make informed decisions using capacity
planning reports. http://sdm.link/zohodev2dev
______________________________ _________________
Matplotlib-users mailing list
Matplotlib-users at lists. sourceforge.net
https://lists.sourceforge.net/ lists/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 selasley at icloud.com  Sat Aug 13 19:18:52 2016
From: selasley at icloud.com (Scott Lasley)
Date: Sat, 13 Aug 2016 19:18:52 -0400
Subject: [Matplotlib-users] Matplotlib Figure margin transparancy
In-Reply-To: <103083546.12553691.1471110844731.JavaMail.yahoo@mail.yahoo.com>
References: <1074502846.8976369.1470373577355.JavaMail.yahoo.ref@mail.yahoo.com>
 <1074502846.8976369.1470373577355.JavaMail.yahoo@mail.yahoo.com>
 <98196673.9419492.1470462972338.JavaMail.yahoo@mail.yahoo.com>
 <387513974.10971353.1470801664172.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw01aBWPkmgd-13WvSju2b9Lq1BUBRYmV7hbZvu3F22j4Cg@mail.gmail.com>
 <CANNq6FkMeoRxwqApFLebwsXGnEP7wUaVPD+visbDgMadbZYkoQ@mail.gmail.com>
 <1629578972.11836424.1470932929152.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw00i3yK4qa8=wKf=+NT9qen+Gqwrwj+EGfAbkvi3ZzcagA@mail.gmail.com>
 <20608107.11861840.1470934420482.JavaMail.yahoo@mail.yahoo.com>
 <1517479868.11744437.1470982986506.JavaMail.yahoo@mail.yahoo.com>
 <103083546.12553691.1471110844731.JavaMail.yahoo@mail.yahoo.com>
Message-ID: <9A990727-7186-492E-8A46-BD051DE7B637@icloud.com>

If I launch jupyter with the --pylab flag it exits with this message
$ jupyter qtconsole --pylab
...
[JupyterQtConsoleApp] CRITICAL | Bad config encountered during initialization:
[JupyterQtConsoleApp] CRITICAL | Unrecognized flag: '--pylab'

Can you launch qtconsole then use the jupyter magics to set up pylab and inline plotting?

$ jupyter qtconsole
(then in the QtConsole window enter)
In [1]: %pylab
Using matplotlib backend: MacOSX
Populating the interactive namespace from numpy and matplotlib

In [2]: %matplotlib inline

In [3]: plot([1, 2, 3])

plots in the QtConsole window.

This is in OS X 10.11 with python 3.5.2, matplotlib 2.0.0b3, ipython 5.1.0 and jupyter 4.1.1.  Note that I had some problems with the qtconsole when using the %pylab magic.  It's possible the problems arose because I'm using the beta version of matplotlib 2.

hth,
Scott

> On Aug 13, 2016, at 13:54, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
> 
> Hi all,
>                 After following suggestion to upgrade to jupyter, I have installed jupyter. but not able to start either jupyter or ipython with --pylab inline mode .
> If I start 
> sjo at SJOLTP../.jupyter~$ ipython qtconsole --pylab inline
> [TerminalIPythonApp] WARNING | Subcommand `ipython qtconsole` is deprecated and will be removed in future versions.
> 
> I wont sart qtconsole.
> If I start jupyter after going to .jupyter directory it starts with pylab inline taking it form profile file ipython_config.py
> If I go to any other directory it wont take the configuration file.
> I have below line in the above ipython_config.py
> c.TerminalIPythonApp.profile = u'/home/sjo/.jupyter/ipython_config.py'
> 
> However none works for me to make pylab inline option.
> Can any one throw some light in to this issue?
> 
> sjo at SJOLTP../.jupyter~$ ls
> ipython_config.py  jupyter.desktop     jupyter_qtconsole_config.py  pynb  startup
> ipython.desktop    jupyter_nb.desktop  migrated                     qtpy
> sjo at SJOLTP../.jupyter~$ pwd
> /home/sjo/.jupyter
> sjo at SJOLTP../.jupyter~$ ls
> ipython_config.py  jupyter.desktop     jupyter_qtconsole_config.py  pynb  startup
> ipython.desktop    jupyter_nb.desktop  migrated                     qtpy
> sjo at SJOLTP../.jupyter~$ jupyter --version
> 4.1.1
> sjo at SJOLTP../.jupyter~$ ipython --version
> 5.0.0
> sjo at SJOLTP../.jupyter~$ 
> 
>  
> *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
> 
> 
> On Friday, 12 August 2016 12:02 PM, Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> 
> 
> Thank you I got it fixed after following the link of bug report.
> I have added 
> rcParams['figure.facecolor'] = 'w'
> in 00_startup.py file in my ipython startup directory which fixed the issue
>  
> *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
> 
> 
> 
> 
> On Thursday, 11 August 2016 10:26 PM, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
> 
> 
> 
> Thank you,
> I am having oldverdion 1.2 but if i upgrade many system related things are getting affected. So bit worried how to handle this..
> 
> Sudheer 
> Sent from Yahoo Mail for iPhone
> 
> On Thursday, August 11, 2016, 10:17 PM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
> The relevant parameters are 
> 
> figure.facecolor
> and
> savefigure.facecolor
> 
> but as I indicated before I think your issue is due to an out of date version of Jupyter/IPython and is fixed in the latest version. Please can you check which versions you are running
> I think the issue that you are seeing is https://github.com/ipython/ipython/issues/7964 which was fixed in IPython 3.2
> 
> 
> best
> Jens
> 
> 
> On Thu, 11 Aug 2016 at 17:33 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> Thank you Benjamin & Jens,
>                                                   I have registered in python.org now. Regarding the issue I had already checked the matplotlibrc parameters. I tried increasing margin option but resulting in only plot getting shrunk. There is no apparent effect for facecolor parameter. May I know which parameter sets the margin as non-transparent?
> With best regards,
> Sudheer
> 
> 
> 
> 
> On Wednesday, 10 August 2016 8:19 PM, Benjamin Root <ben.v.root at gmail.com> wrote:
> The other reason why this message never got posted is because this message was sent to the now defunct mailing list hosted by sourceforge. The mailing list moved about a year ago (I think) to python.org. You will have to subscribe in order to post unmoderated.
> 
> https://mail.python.org/mailman/listinfo/matplotlib-users
> 
> Ben Root
> On Wed, Aug 10, 2016 at 4:25 AM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
> At least for me gmail put your mail in the spam folder.
> 
> Anyway the inline backend is actually from in IPython/Jupyter and not in matplotlib. I think they have changed the default a couple of times and had the transparent as a default earlier but changed it. Looking at the current master it looks like they are respecting the matplotlib default colors from the matplotlib rc params. Can you please check which version on IPython and Jupyter you are running.  
> 
> You can change the matplotlib rc parameters as described in the docs http://matplotlib.org/ users/customizing.html# customizing-matplotlib but the default ones should be white.
> 
> best
> Jens
> 
> On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> Hi,
> I have send below query to matplotlib user group recently but did not get posted so far. Can you please tell me is there is any thin wrong with the message?
> With best regards,
> Sudheer
> 
> >
> > Dear Expert,
> >                 Recently after up-gradation of matplotlib and ubuntu 16.04 I am
> > getting transparent figure axis when using the "linux color scheme"
> > option in ipython qtconsole. May I know if there is a way to fix this issue?. I
> > wanted to keep black screen as it reduces eye strain.
> >
> > ipython qtconsole --matplotlib inline
> >
> > If I save the image i am able to get axis properly but to see on screen as the
> > axis is not plotted with white background the black axis line and labels are not
> > visible. Earlier I used to get figures as attached in second figure.
> > Earlier Satus which I am looking for below link
> > https://drive.google.com/open? id= 0B3heUQNme7G5ZmVlUHpRakZxUlk
> > Present status without boarder below link
> >
> >
> > https://drive.google.com/open? id= 0B3heUQNme7G5VkhZWHhiUnpfWDg
> >
> > Kindly suggest a solution
> > with best regards,
> > Sudheer
> >
> 
> ------------------------------ ------------------------------ ------------------
> What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
> patterns at an interface-level. Reveals which users, apps, and protocols are
> consuming the most bandwidth. Provides multi-vendor support for NetFlow,
> J-Flow, sFlow and other flows. Make informed decisions using capacity
> planning reports. http://sdm.link/zohodev2dev
> ______________________________ _________________
> Matplotlib-users mailing list
> 
> Matplotlib-users at lists. sourceforge.net
> https://lists.sourceforge.net/ lists/listinfo/matplotlib- users
> 
> 
> ------------------------------ ------------------------------ ------------------
> What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
> patterns at an interface-level. Reveals which users, apps, and protocols are
> consuming the most bandwidth. Provides multi-vendor support for NetFlow,
> J-Flow, sFlow and other flows. Make informed decisions using capacity
> planning reports. http://sdm.link/zohodev2dev
> ______________________________ _________________
> Matplotlib-users mailing list
> Matplotlib-users at lists. sourceforge.net
> https://lists.sourceforge.net/ lists/listinfo/matplotlib- users
> 
> 
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> 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


From sudheer.joseph at yahoo.com  Sat Aug 13 19:55:27 2016
From: sudheer.joseph at yahoo.com (Sudheer Joseph)
Date: Sat, 13 Aug 2016 23:55:27 +0000 (UTC)
Subject: [Matplotlib-users] Fw: Matplotlib Figure margin transparancy
In-Reply-To: <56AE0915-8E3A-4E1D-9BB3-574E5E8F33F5@gmail.com>
References: <1074502846.8976369.1470373577355.JavaMail.yahoo.ref@mail.yahoo.com>
 <1074502846.8976369.1470373577355.JavaMail.yahoo@mail.yahoo.com>
 <98196673.9419492.1470462972338.JavaMail.yahoo@mail.yahoo.com>
 <387513974.10971353.1470801664172.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw01aBWPkmgd-13WvSju2b9Lq1BUBRYmV7hbZvu3F22j4Cg@mail.gmail.com>
 <CANNq6FkMeoRxwqApFLebwsXGnEP7wUaVPD+visbDgMadbZYkoQ@mail.gmail.com>
 <1629578972.11836424.1470932929152.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw00i3yK4qa8=wKf=+NT9qen+Gqwrwj+EGfAbkvi3ZzcagA@mail.gmail.com>
 <20608107.11861840.1470934420482.JavaMail.yahoo@mail.yahoo.com>
 <1517479868.11744437.1470982986506.JavaMail.yahoo@mail.yahoo.com>
 <103083546.12553691.1471110844731.JavaMail.yahoo@mail.yahoo.com>
 <56AE0915-8E3A-4E1D-9BB3-574E5E8F33F5@gmail.com>
Message-ID: <2031483027.12670880.1471132527107.JavaMail.yahoo@mail.yahoo.com>

Hi Thanks,I wanted to say both ipython and jupyter do not work and gives errors after installation of jupyter as below.
jupyter qtconsole --pylab inline
[JupyterQtConsoleApp] CRITICAL | Bad config encountered during initialization:[JupyterQtConsoleApp] CRITICAL | Unrecognized flag: '--pylab'
?*************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com *************************************************************** 

    On Sunday, 14 August 2016 12:30 AM, Josh Devlin <joshuadevlin at gmail.com> wrote:
 
 

 Replace ipython with jupyter in your command.

Sent from my iPhone
On Aug 13, 2016, at 10:54 AM, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:


Hi all,? ? ? ? ? ? ? ? After following suggestion to upgrade to jupyter, I have installed jupyter. but not able to start either jupyter or ipython with --pylab inline mode .If I start?sjo at SJOLTP../.jupyter~$ ipython qtconsole --pylab inline[TerminalIPythonApp] WARNING | Subcommand `ipython qtconsole` is deprecated and will be removed in future versions.
I wont sart qtconsole.If I start jupyter after going to .jupyter directory it starts with pylab inline taking it form profile file ipython_config.pyIf I go to any other directory it wont take the configuration file.I have below line in the above ipython_config.pyc.TerminalIPythonApp.profile = u'/home/sjo/.jupyter/ipython_config.py'

However none works for me to make pylab inline option.Can any one throw some light in to this issue?
sjo at SJOLTP../.jupyter~$ lsipython_config.py ?jupyter.desktop ? ? jupyter_qtconsole_config.py ?pynb ?startupipython.desktop ? ?jupyter_nb.desktop ?migrated ? ? ? ? ? ? ? ? ? ? qtpysjo at SJOLTP../.jupyter~$ pwd/home/sjo/.jupytersjo at SJOLTP../.jupyter~$ lsipython_config.py ?jupyter.desktop ? ? jupyter_qtconsole_config.py ?pynb ?startupipython.desktop ? ?jupyter_nb.desktop ?migrated ? ? ? ? ? ? ? ? ? ? qtpysjo at SJOLTP../.jupyter~$ jupyter --version4.1.1sjo at SJOLTP../.jupyter~$ ipython --version5.0.0sjo at SJOLTP../.jupyter~$?
?*************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com *************************************************************** 

    On Friday, 12 August 2016 12:02 PM, Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
 
 

 Thank you I got it fixed after following the link of bug report.I have added?rcParams['figure.facecolor'] = 'w'
in 00_startup.py file in my ipython startup directory which fixed the issue?*************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com *************************************************************** 

   

 On Thursday, 11 August 2016 10:26 PM, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
 
 

  
Thank you,I am having oldverdion 1.2 but if i upgrade many system related things are getting affected. So bit worried how to handle this..
Sudheer?
Sent from Yahoo Mail for iPhone

On Thursday, August 11, 2016, 10:17 PM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
The relevant parameters are?
figure.facecolor
andsavefigure.facecolor
but as I indicated before I think your issue is due to an out of date version of Jupyter/IPython and is fixed in the latest version. Please can you check which versions you are runningI think the issue that you are seeing is?https://github.com/ipython/ipython/issues/7964?which was fixed in IPython 3.2

bestJens

On Thu, 11 Aug 2016 at 17:33 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:

Thank you Benjamin & Jens,? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? I have registered in python.org now. Regarding the issue I had already checked the matplotlibrc parameters. I tried increasing margin option but resulting in only plot getting shrunk. There is no apparent effect for facecolor parameter. May I know which parameter sets the margin as non-transparent?With best regards,Sudheer 

 

    On Wednesday, 10 August 2016 8:19 PM, Benjamin Root <ben.v.root at gmail.com> wrote:
 
The other reason why this message never got posted is because this message was sent to the now defunct mailing list hosted by sourceforge. The mailing list moved about a year ago (I think) to python.org. You will have to subscribe in order to post unmoderated.

https://mail.python.org/mailman/listinfo/matplotlib-users

Ben Root


On Wed, Aug 10, 2016 at 4:25 AM, Jens Nielsen <jenshnielsen at gmail.com> wrote:



At least for me gmail put your mail in the spam folder.
Anyway the inline backend is actually from in IPython/Jupyter and not in matplotlib. I think they have changed the default a couple of times and had the transparent as a default earlier but changed it. Looking at the current master it looks like they are respecting the matplotlib default colors from the matplotlib rc params. Can you please check which version on IPython and Jupyter you are running. ?




You can change the matplotlib rc parameters as described in the docs?http://matplotlib.org/ users/customizing.html# customizing-matplotlib?but the default ones should be white.
bestJens




On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:

Hi,
I have send below query to matplotlib user group recently but did not get posted so far. Can you please tell me is there is any thin wrong with the message?
With best regards,
Sudheer

>
> Dear Expert,
>? ? ? ? ? ? ? ? ?Recently after up-gradation of matplotlib and ubuntu 16.04 I am
> getting transparent figure axis when using the "linux color scheme"
> option in ipython qtconsole. May I know if there is a way to fix this issue?. I
> wanted to keep black screen as it reduces eye strain.
>
> ipython qtconsole --matplotlib inline
>
> If I save the image i am able to get axis properly but to see on screen as the
> axis is not plotted with white background the black axis line and labels are not
> visible. Earlier I used to get figures as attached in second figure.
> Earlier Satus which I am looking for below link
> https://drive.google.com/open? id= 0B3heUQNme7G5ZmVlUHpRakZxUlk
> Present status without boarder below link
>
>
> https://drive.google.com/open? id= 0B3heUQNme7G5VkhZWHhiUnpfWDg
>
> Kindly suggest a solution
> with best regards,
> Sudheer
>

------------------------------ ------------------------------ ------------------
What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
patterns at an interface-level. Reveals which users, apps, and protocols are
consuming the most bandwidth. Provides multi-vendor support for NetFlow,
J-Flow, sFlow and other flows. Make informed decisions using capacity
planning reports. http://sdm.link/zohodev2dev
______________________________ _________________
Matplotlib-users mailing list

Matplotlib-users at lists. sourceforge.net
https://lists.sourceforge.net/ lists/listinfo/matplotlib- users




------------------------------ ------------------------------ ------------------
What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
patterns at an interface-level. Reveals which users, apps, and protocols are
consuming the most bandwidth. Provides multi-vendor support for NetFlow,
J-Flow, sFlow and other flows. Make informed decisions using capacity
planning reports. http://sdm.link/zohodev2dev
______________________________ _________________
Matplotlib-users mailing list
Matplotlib-users at lists. sourceforge.net
https://lists.sourceforge.net/ lists/listinfo/matplotlib- users




 


_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
https://mail.python.org/mailman/listinfo/matplotlib-users


 
   

 
   

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Matplotlib-users at python.org
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From sudheer.joseph at yahoo.com  Sat Aug 13 20:34:48 2016
From: sudheer.joseph at yahoo.com (Sudheer Joseph)
Date: Sun, 14 Aug 2016 00:34:48 +0000 (UTC)
Subject: [Matplotlib-users] Matplotlib Figure margin transparancy
In-Reply-To: <9A990727-7186-492E-8A46-BD051DE7B637@icloud.com>
References: <1074502846.8976369.1470373577355.JavaMail.yahoo.ref@mail.yahoo.com>
 <1074502846.8976369.1470373577355.JavaMail.yahoo@mail.yahoo.com>
 <98196673.9419492.1470462972338.JavaMail.yahoo@mail.yahoo.com>
 <387513974.10971353.1470801664172.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw01aBWPkmgd-13WvSju2b9Lq1BUBRYmV7hbZvu3F22j4Cg@mail.gmail.com>
 <CANNq6FkMeoRxwqApFLebwsXGnEP7wUaVPD+visbDgMadbZYkoQ@mail.gmail.com>
 <1629578972.11836424.1470932929152.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw00i3yK4qa8=wKf=+NT9qen+Gqwrwj+EGfAbkvi3ZzcagA@mail.gmail.com>
 <20608107.11861840.1470934420482.JavaMail.yahoo@mail.yahoo.com>
 <1517479868.11744437.1470982986506.JavaMail.yahoo@mail.yahoo.com>
 <103083546.12553691.1471110844731.JavaMail.yahoo@mail.yahoo.com>
 <9A990727-7186-492E-8A46-BD051DE7B637@icloud.com>
Message-ID: <62698539.133989.1471134888875@mail.yahoo.com>

Thank you for the reply,Yes this way it works, But I was looking towards a way to set this option in startup file so that one need not type %pylab inline always after starting the kernal
 
with best regards,Suhdheer    On Sunday, 14 August 2016 4:48 AM, Scott Lasley <selasley at icloud.com> wrote:
 
 

 If I launch jupyter with the --pylab flag it exits with this message
$ jupyter qtconsole --pylab
...
[JupyterQtConsoleApp] CRITICAL | Bad config encountered during initialization:
[JupyterQtConsoleApp] CRITICAL | Unrecognized flag: '--pylab'

Can you launch qtconsole then use the jupyter magics to set up pylab and inline plotting?

$ jupyter qtconsole
(then in the QtConsole window enter)
In [1]: %pylab
Using matplotlib backend: MacOSX
Populating the interactive namespace from numpy and matplotlib

In [2]: %matplotlib inline

In [3]: plot([1, 2, 3])

plots in the QtConsole window.

This is in OS X 10.11 with python 3.5.2, matplotlib 2.0.0b3, ipython 5.1.0 and jupyter 4.1.1.? Note that I had some problems with the qtconsole when using the %pylab magic.? It's possible the problems arose because I'm using the beta version of matplotlib 2.

hth,
Scott

> On Aug 13, 2016, at 13:54, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
> 
> Hi all,
>? ? ? ? ? ? ? ? After following suggestion to upgrade to jupyter, I have installed jupyter. but not able to start either jupyter or ipython with --pylab inline mode .
> If I start 
> sjo at SJOLTP../.jupyter~$ ipython qtconsole --pylab inline
> [TerminalIPythonApp] WARNING | Subcommand `ipython qtconsole` is deprecated and will be removed in future versions.
> 
> I wont sart qtconsole.
> If I start jupyter after going to .jupyter directory it starts with pylab inline taking it form profile file ipython_config.py
> If I go to any other directory it wont take the configuration file.
> I have below line in the above ipython_config.py
> c.TerminalIPythonApp.profile = u'/home/sjo/.jupyter/ipython_config.py'
> 
> However none works for me to make pylab inline option.
> Can any one throw some light in to this issue?
> 
> sjo at SJOLTP../.jupyter~$ ls
> ipython_config.py? jupyter.desktop? ? jupyter_qtconsole_config.py? pynb? startup
> ipython.desktop? ? jupyter_nb.desktop? migrated? ? ? ? ? ? ? ? ? ? qtpy
> sjo at SJOLTP../.jupyter~$ pwd
> /home/sjo/.jupyter
> sjo at SJOLTP../.jupyter~$ ls
> ipython_config.py? jupyter.desktop? ? jupyter_qtconsole_config.py? pynb? startup
> ipython.desktop? ? jupyter_nb.desktop? migrated? ? ? ? ? ? ? ? ? ? qtpy
> sjo at SJOLTP../.jupyter~$ jupyter --version
> 4.1.1
> sjo at SJOLTP../.jupyter~$ ipython --version
> 5.0.0
> sjo at SJOLTP../.jupyter~$ 
> 
>? 
> *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
> 
> 
> On Friday, 12 August 2016 12:02 PM, Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> 
> 
> Thank you I got it fixed after following the link of bug report.
> I have added 
> rcParams['figure.facecolor'] = 'w'
> in 00_startup.py file in my ipython startup directory which fixed the issue
>? 
> *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
> 
> 
> 
> 
> On Thursday, 11 August 2016 10:26 PM, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
> 
> 
> 
> Thank you,
> I am having oldverdion 1.2 but if i upgrade many system related things are getting affected. So bit worried how to handle this..
> 
> Sudheer 
> Sent from Yahoo Mail for iPhone
> 
> On Thursday, August 11, 2016, 10:17 PM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
> The relevant parameters are 
> 
> figure.facecolor
> and
> savefigure.facecolor
> 
> but as I indicated before I think your issue is due to an out of date version of Jupyter/IPython and is fixed in the latest version. Please can you check which versions you are running
> I think the issue that you are seeing is https://github.com/ipython/ipython/issues/7964 which was fixed in IPython 3.2
> 
> 
> best
> Jens
> 
> 
> On Thu, 11 Aug 2016 at 17:33 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> Thank you Benjamin & Jens,
>? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? I have registered in python.org now. Regarding the issue I had already checked the matplotlibrc parameters. I tried increasing margin option but resulting in only plot getting shrunk. There is no apparent effect for facecolor parameter. May I know which parameter sets the margin as non-transparent?
> With best regards,
> Sudheer
> 
> 
> 
> 
> On Wednesday, 10 August 2016 8:19 PM, Benjamin Root <ben.v.root at gmail.com> wrote:
> The other reason why this message never got posted is because this message was sent to the now defunct mailing list hosted by sourceforge. The mailing list moved about a year ago (I think) to python.org. You will have to subscribe in order to post unmoderated.
> 
> https://mail.python.org/mailman/listinfo/matplotlib-users
> 
> Ben Root
> On Wed, Aug 10, 2016 at 4:25 AM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
> At least for me gmail put your mail in the spam folder.
> 
> Anyway the inline backend is actually from in IPython/Jupyter and not in matplotlib. I think they have changed the default a couple of times and had the transparent as a default earlier but changed it. Looking at the current master it looks like they are respecting the matplotlib default colors from the matplotlib rc params. Can you please check which version on IPython and Jupyter you are running.? 
> 
> You can change the matplotlib rc parameters as described in the docs http://matplotlib.org/ users/customizing.html# customizing-matplotlib but the default ones should be white.
> 
> best
> Jens
> 
> On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> Hi,
> I have send below query to matplotlib user group recently but did not get posted so far. Can you please tell me is there is any thin wrong with the message?
> With best regards,
> Sudheer
> 
> >
> > Dear Expert,
> >? ? ? ? ? ? ? ? Recently after up-gradation of matplotlib and ubuntu 16.04 I am
> > getting transparent figure axis when using the "linux color scheme"
> > option in ipython qtconsole. May I know if there is a way to fix this issue?. I
> > wanted to keep black screen as it reduces eye strain.
> >
> > ipython qtconsole --matplotlib inline
> >
> > If I save the image i am able to get axis properly but to see on screen as the
> > axis is not plotted with white background the black axis line and labels are not
> > visible. Earlier I used to get figures as attached in second figure.
> > Earlier Satus which I am looking for below link
> > https://drive.google.com/open? id= 0B3heUQNme7G5ZmVlUHpRakZxUlk
> > Present status without boarder below link
> >
> >
> > https://drive.google.com/open? id= 0B3heUQNme7G5VkhZWHhiUnpfWDg
> >
> > Kindly suggest a solution
> > with best regards,
> > Sudheer
> >
> 
> ------------------------------ ------------------------------ ------------------
> What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
> patterns at an interface-level. Reveals which users, apps, and protocols are
> consuming the most bandwidth. Provides multi-vendor support for NetFlow,
> J-Flow, sFlow and other flows. Make informed decisions using capacity
> planning reports. http://sdm.link/zohodev2dev
> ______________________________ _________________
> Matplotlib-users mailing list
> 
> Matplotlib-users at lists. sourceforge.net
> https://lists.sourceforge.net/ lists/listinfo/matplotlib- users
> 
> 
> ------------------------------ ------------------------------ ------------------
> What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
> patterns at an interface-level. Reveals which users, apps, and protocols are
> consuming the most bandwidth. Provides multi-vendor support for NetFlow,
> J-Flow, sFlow and other flows. Make informed decisions using capacity
> planning reports. http://sdm.link/zohodev2dev
> ______________________________ _________________
> Matplotlib-users mailing list
> Matplotlib-users at lists. sourceforge.net
> https://lists.sourceforge.net/ lists/listinfo/matplotlib- users
> 
> 
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> 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 selasley at icloud.com  Sat Aug 13 23:06:35 2016
From: selasley at icloud.com (Scott Lasley)
Date: Sat, 13 Aug 2016 23:06:35 -0400
Subject: [Matplotlib-users] Matplotlib Figure margin transparancy
In-Reply-To: <62698539.133989.1471134888875@mail.yahoo.com>
References: <1074502846.8976369.1470373577355.JavaMail.yahoo.ref@mail.yahoo.com>
 <1074502846.8976369.1470373577355.JavaMail.yahoo@mail.yahoo.com>
 <98196673.9419492.1470462972338.JavaMail.yahoo@mail.yahoo.com>
 <387513974.10971353.1470801664172.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw01aBWPkmgd-13WvSju2b9Lq1BUBRYmV7hbZvu3F22j4Cg@mail.gmail.com>
 <CANNq6FkMeoRxwqApFLebwsXGnEP7wUaVPD+visbDgMadbZYkoQ@mail.gmail.com>
 <1629578972.11836424.1470932929152.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw00i3yK4qa8=wKf=+NT9qen+Gqwrwj+EGfAbkvi3ZzcagA@mail.gmail.com>
 <20608107.11861840.1470934420482.JavaMail.yahoo@mail.yahoo.com>
 <1517479868.11744437.1470982986506.JavaMail.yahoo@mail.yahoo.com>
 <103083546.12553691.1471110844731.JavaMail.yahoo@mail.yahoo.com>
 <9A990727-7186-492E-8A46-BD051DE7B637@icloud.com>
 <62698539.133989.1471134888875@mail.yahoo.com>
Message-ID: <7E40BF26-FE9F-410A-B252-6D22FDE2798E@icloud.com>

It appears that jupyter does not use the .ipython_config.py file in the .jupyter directory.  It does use the files in the profile_default directory in your ipython folder, usually ~/.ipython on a Mac.  Here's how I was able to get jupyter qtconsole to launch with %pylab inline

Create the default ipython profile files.  I think this will overwrite any old default profile files so make a backup if you want to keep the old files
$ ipython3 profile create
Find the location of your default profile 
$ export myipython=$(ipython3 locate profile)
Edit the ipython_config.py file in your default profile directory
$ pico "$myipython"/ipython_config.py
Uncomment the c.InteractiveShellApp.pylab line and change the value to 'inline'

If want to load certain modules every time you launch qtconsole you can create a file named something like 00_my_startup.ipy in "$myipython"/startup/ containing your imports.  See the "$myipython"/startup/README file for more info
 
Here's the docs on configuring recent versions of ipython
http://ipython.readthedocs.io/en/stable/config/intro.html#the-ipython-directory

Best regards,
Scott

> On Aug 13, 2016, at 20:34, Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> 
> Thank you for the reply,
> Yes this way it works, But I was looking towards a way to set this option in startup file so that one need not type %pylab inline always after starting the kernal
> 
> 
> with best regards,
> Suhdheer
> On Sunday, 14 August 2016 4:48 AM, Scott Lasley <selasley at icloud.com> wrote:
> 
> 
> If I launch jupyter with the --pylab flag it exits with this message
> $ jupyter qtconsole --pylab
> ...
> [JupyterQtConsoleApp] CRITICAL | Bad config encountered during initialization:
> [JupyterQtConsoleApp] CRITICAL | Unrecognized flag: '--pylab'
> 
> Can you launch qtconsole then use the jupyter magics to set up pylab and inline plotting?
> 
> $ jupyter qtconsole
> (then in the QtConsole window enter)
> In [1]: %pylab
> Using matplotlib backend: MacOSX
> Populating the interactive namespace from numpy and matplotlib
> 
> In [2]: %matplotlib inline
> 
> In [3]: plot([1, 2, 3])
> 
> plots in the QtConsole window.
> 
> This is in OS X 10.11 with python 3.5.2, matplotlib 2.0.0b3, ipython 5.1.0 and jupyter 4.1.1.  Note that I had some problems with the qtconsole when using the %pylab magic.  It's possible the problems arose because I'm using the beta version of matplotlib 2.
> 
> hth,
> Scott
> 
> > On Aug 13, 2016, at 13:54, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
> > 
> > Hi all,
> >                After following suggestion to upgrade to jupyter, I have installed jupyter. but not able to start either jupyter or ipython with --pylab inline mode .
> > If I start 
> > sjo at SJOLTP../.jupyter~$ ipython qtconsole --pylab inline
> > [TerminalIPythonApp] WARNING | Subcommand `ipython qtconsole` is deprecated and will be removed in future versions.
> > 
> > I wont sart qtconsole.
> > If I start jupyter after going to .jupyter directory it starts with pylab inline taking it form profile file ipython_config.py
> > If I go to any other directory it wont take the configuration file.
> > I have below line in the above ipython_config.py
> > c.TerminalIPythonApp.profile = u'/home/sjo/.jupyter/ipython_config.py'
> > 
> > However none works for me to make pylab inline option.
> > Can any one throw some light in to this issue?
> > 
> > sjo at SJOLTP../.jupyter~$ ls
> > ipython_config.py  jupyter.desktop    jupyter_qtconsole_config.py  pynb  startup
> > ipython.desktop    jupyter_nb.desktop  migrated                    qtpy
> > sjo at SJOLTP../.jupyter~$ pwd
> > /home/sjo/.jupyter
> > sjo at SJOLTP../.jupyter~$ ls
> > ipython_config.py  jupyter.desktop    jupyter_qtconsole_config.py  pynb  startup
> > ipython.desktop    jupyter_nb.desktop  migrated                    qtpy
> > sjo at SJOLTP../.jupyter~$ jupyter --version
> > 4.1.1
> > sjo at SJOLTP../.jupyter~$ ipython --version
> > 5.0.0
> > sjo at SJOLTP../.jupyter~$ 
> > 
> >  
> > *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
> > 
> > 
> > On Friday, 12 August 2016 12:02 PM, Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> > 
> > 
> > Thank you I got it fixed after following the link of bug report.
> > I have added 
> > rcParams['figure.facecolor'] = 'w'
> > in 00_startup.py file in my ipython startup directory which fixed the issue
> >  
> > *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
> > 
> > 
> > 
> > 
> > On Thursday, 11 August 2016 10:26 PM, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
> > 
> > 
> > 
> > Thank you,
> > I am having oldverdion 1.2 but if i upgrade many system related things are getting affected. So bit worried how to handle this..
> > 
> > Sudheer 
> > Sent from Yahoo Mail for iPhone
> > 
> > On Thursday, August 11, 2016, 10:17 PM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
> > The relevant parameters are 
> > 
> > figure.facecolor
> > and
> > savefigure.facecolor
> > 
> > but as I indicated before I think your issue is due to an out of date version of Jupyter/IPython and is fixed in the latest version. Please can you check which versions you are running
> > I think the issue that you are seeing is https://github.com/ipython/ipython/issues/7964 which was fixed in IPython 3.2
> > 
> > 
> > best
> > Jens
> > 
> > 
> > On Thu, 11 Aug 2016 at 17:33 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> > Thank you Benjamin & Jens,
> >                                                  I have registered in python.org now. Regarding the issue I had already checked the matplotlibrc parameters. I tried increasing margin option but resulting in only plot getting shrunk. There is no apparent effect for facecolor parameter. May I know which parameter sets the margin as non-transparent?
> > With best regards,
> > Sudheer
> > 
> > 
> > 
> > 
> > On Wednesday, 10 August 2016 8:19 PM, Benjamin Root <ben.v.root at gmail.com> wrote:
> > The other reason why this message never got posted is because this message was sent to the now defunct mailing list hosted by sourceforge. The mailing list moved about a year ago (I think) to python.org. You will have to subscribe in order to post unmoderated.
> > 
> > https://mail.python.org/mailman/listinfo/matplotlib-users
> > 
> > Ben Root
> > On Wed, Aug 10, 2016 at 4:25 AM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
> > At least for me gmail put your mail in the spam folder.
> > 
> > Anyway the inline backend is actually from in IPython/Jupyter and not in matplotlib. I think they have changed the default a couple of times and had the transparent as a default earlier but changed it. Looking at the current master it looks like they are respecting the matplotlib default colors from the matplotlib rc params. Can you please check which version on IPython and Jupyter you are running.  
> > 
> > You can change the matplotlib rc parameters as described in the docs http://matplotlib.org/ users/customizing.html# customizing-matplotlib but the default ones should be white.
> > 
> > best
> > Jens
> > 
> > On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> > Hi,
> > I have send below query to matplotlib user group recently but did not get posted so far. Can you please tell me is there is any thin wrong with the message?
> > With best regards,
> > Sudheer
> > 
> > >
> > > Dear Expert,
> > >                Recently after up-gradation of matplotlib and ubuntu 16.04 I am
> > > getting transparent figure axis when using the "linux color scheme"
> > > option in ipython qtconsole. May I know if there is a way to fix this issue?. I
> > > wanted to keep black screen as it reduces eye strain.
> > >
> > > ipython qtconsole --matplotlib inline
> > >
> > > If I save the image i am able to get axis properly but to see on screen as the
> > > axis is not plotted with white background the black axis line and labels are not
> > > visible. Earlier I used to get figures as attached in second figure.
> > > Earlier Satus which I am looking for below link
> > > https://drive.google.com/open? id= 0B3heUQNme7G5ZmVlUHpRakZxUlk
> > > Present status without boarder below link
> > >
> > >
> > > https://drive.google.com/open? id= 0B3heUQNme7G5VkhZWHhiUnpfWDg
> > >
> > > Kindly suggest a solution
> > > with best regards,
> > > Sudheer
> > >
> > 
> > ------------------------------ ------------------------------ ------------------
> > What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
> > patterns at an interface-level. Reveals which users, apps, and protocols are
> > consuming the most bandwidth. Provides multi-vendor support for NetFlow,
> > J-Flow, sFlow and other flows. Make informed decisions using capacity
> > planning reports. http://sdm.link/zohodev2dev
> > ______________________________ _________________
> > Matplotlib-users mailing list
> > 
> > Matplotlib-users at lists. sourceforge.net
> > https://lists.sourceforge.net/ lists/listinfo/matplotlib- users
> > 
> > 
> > ------------------------------ ------------------------------ ------------------
> > What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
> > patterns at an interface-level. Reveals which users, apps, and protocols are
> > consuming the most bandwidth. Provides multi-vendor support for NetFlow,
> > J-Flow, sFlow and other flows. Make informed decisions using capacity
> > planning reports. http://sdm.link/zohodev2dev
> > ______________________________ _________________
> > Matplotlib-users mailing list
> > Matplotlib-users at lists. sourceforge.net
> > https://lists.sourceforge.net/ lists/listinfo/matplotlib- users
> > 
> > 
> > _______________________________________________
> > Matplotlib-users mailing list
> > Matplotlib-users at python.org
> > 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
> 
> 


From sudheer.joseph at yahoo.com  Sat Aug 13 23:18:56 2016
From: sudheer.joseph at yahoo.com (Sudheer Joseph)
Date: Sun, 14 Aug 2016 03:18:56 +0000 (UTC)
Subject: [Matplotlib-users] Matplotlib Figure margin transparancy
In-Reply-To: <7E40BF26-FE9F-410A-B252-6D22FDE2798E@icloud.com>
References: <1074502846.8976369.1470373577355.JavaMail.yahoo.ref@mail.yahoo.com>
 <1074502846.8976369.1470373577355.JavaMail.yahoo@mail.yahoo.com>
 <98196673.9419492.1470462972338.JavaMail.yahoo@mail.yahoo.com>
 <387513974.10971353.1470801664172.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw01aBWPkmgd-13WvSju2b9Lq1BUBRYmV7hbZvu3F22j4Cg@mail.gmail.com>
 <CANNq6FkMeoRxwqApFLebwsXGnEP7wUaVPD+visbDgMadbZYkoQ@mail.gmail.com>
 <1629578972.11836424.1470932929152.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw00i3yK4qa8=wKf=+NT9qen+Gqwrwj+EGfAbkvi3ZzcagA@mail.gmail.com>
 <20608107.11861840.1470934420482.JavaMail.yahoo@mail.yahoo.com>
 <1517479868.11744437.1470982986506.JavaMail.yahoo@mail.yahoo.com>
 <103083546.12553691.1471110844731.JavaMail.yahoo@mail.yahoo.com>
 <9A990727-7186-492E-8A46-BD051DE7B637@icloud.com>
 <62698539.133989.1471134888875@mail.yahoo.com>
 <7E40BF26-FE9F-410A-B252-6D22FDE2798E@icloud.com>
Message-ID: <703791605.12336194.1471144736220.JavaMail.yahoo@mail.yahoo.com>

Thank you,? ? ? ? ? ? ? ? ? I am facing a problem that edges are becoming transparent after fixing the inline issue. with ipython it was possible to ?fix this issue by configuring startup files as below. But jupyter seems not taking startup filesWith best regards.Sudheer
/home/sjo/.ipython/profile_default/startupsjo at SJOLTP../startup~$ ls00-path_set.py ?README ?XX00-path_set.pysjo at SJOLTP../startup~$ cat 00-path_set.py?import sysimport matplotlib as mplmpl.rcParams['figure.facecolor'] = 'w'mypath="/home/sjo/PKGS/SJO_PY_CODES"sys.path.append(mypath)


?*************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************

 
      From: Scott Lasley <selasley at icloud.com>
 To: Sudheer Joseph <sudheer.joseph at yahoo.com> 
Cc: "matplotlib-users at python.org" <matplotlib-users at python.org>
 Sent: Sunday, 14 August 2016 8:36 AM
 Subject: Re: [Matplotlib-users] Matplotlib Figure margin transparancy
   
It appears that jupyter does not use the .ipython_config.py file in the .jupyter directory.? It does use the files in the profile_default directory in your ipython folder, usually ~/.ipython on a Mac.? Here's how I was able to get jupyter qtconsole to launch with %pylab inline

Create the default ipython profile files.? I think this will overwrite any old default profile files so make a backup if you want to keep the old files
$ ipython3 profile create
Find the location of your default profile 
$ export myipython=$(ipython3 locate profile)
Edit the ipython_config.py file in your default profile directory
$ pico "$myipython"/ipython_config.py
Uncomment the c.InteractiveShellApp.pylab line and change the value to 'inline'

If want to load certain modules every time you launch qtconsole you can create a file named something like 00_my_startup.ipy in "$myipython"/startup/ containing your imports.? See the "$myipython"/startup/README file for more info
 
Here's the docs on configuring recent versions of ipython
http://ipython.readthedocs.io/en/stable/config/intro.html#the-ipython-directory

Best regards,
Scott

> On Aug 13, 2016, at 20:34, Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> 
> Thank you for the reply,
> Yes this way it works, But I was looking towards a way to set this option in startup file so that one need not type %pylab inline always after starting the kernal
> 
> 
> with best regards,
> Suhdheer
> On Sunday, 14 August 2016 4:48 AM, Scott Lasley <selasley at icloud.com> wrote:
> 
> 
> If I launch jupyter with the --pylab flag it exits with this message
> $ jupyter qtconsole --pylab
> ...
> [JupyterQtConsoleApp] CRITICAL | Bad config encountered during initialization:
> [JupyterQtConsoleApp] CRITICAL | Unrecognized flag: '--pylab'
> 
> Can you launch qtconsole then use the jupyter magics to set up pylab and inline plotting?
> 
> $ jupyter qtconsole
> (then in the QtConsole window enter)
> In [1]: %pylab
> Using matplotlib backend: MacOSX
> Populating the interactive namespace from numpy and matplotlib
> 
> In [2]: %matplotlib inline
> 
> In [3]: plot([1, 2, 3])
> 
> plots in the QtConsole window.
> 
> This is in OS X 10.11 with python 3.5.2, matplotlib 2.0.0b3, ipython 5.1.0 and jupyter 4.1.1.? Note that I had some problems with the qtconsole when using the %pylab magic.? It's possible the problems arose because I'm using the beta version of matplotlib 2.
> 
> hth,
> Scott
> 
> > On Aug 13, 2016, at 13:54, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
> > 
> > Hi all,
> >? ? ? ? ? ? ? ? After following suggestion to upgrade to jupyter, I have installed jupyter. but not able to start either jupyter or ipython with --pylab inline mode .
> > If I start 
> > sjo at SJOLTP../.jupyter~$ ipython qtconsole --pylab inline
> > [TerminalIPythonApp] WARNING | Subcommand `ipython qtconsole` is deprecated and will be removed in future versions.
> > 
> > I wont sart qtconsole.
> > If I start jupyter after going to .jupyter directory it starts with pylab inline taking it form profile file ipython_config.py
> > If I go to any other directory it wont take the configuration file.
> > I have below line in the above ipython_config.py
> > c.TerminalIPythonApp.profile = u'/home/sjo/.jupyter/ipython_config.py'
> > 
> > However none works for me to make pylab inline option.
> > Can any one throw some light in to this issue?
> > 
> > sjo at SJOLTP../.jupyter~$ ls
> > ipython_config.py? jupyter.desktop? ? jupyter_qtconsole_config.py? pynb? startup
> > ipython.desktop? ? jupyter_nb.desktop? migrated? ? ? ? ? ? ? ? ? ? qtpy
> > sjo at SJOLTP../.jupyter~$ pwd
> > /home/sjo/.jupyter
> > sjo at SJOLTP../.jupyter~$ ls
> > ipython_config.py? jupyter.desktop? ? jupyter_qtconsole_config.py? pynb? startup
> > ipython.desktop? ? jupyter_nb.desktop? migrated? ? ? ? ? ? ? ? ? ? qtpy
> > sjo at SJOLTP../.jupyter~$ jupyter --version
> > 4.1.1
> > sjo at SJOLTP../.jupyter~$ ipython --version
> > 5.0.0
> > sjo at SJOLTP../.jupyter~$ 
> > 
> >? 
> > *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
> > 
> > 
> > On Friday, 12 August 2016 12:02 PM, Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> > 
> > 
> > Thank you I got it fixed after following the link of bug report.
> > I have added 
> > rcParams['figure.facecolor'] = 'w'
> > in 00_startup.py file in my ipython startup directory which fixed the issue
> >? 
> > *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
> > 
> > 
> > 
> > 
> > On Thursday, 11 August 2016 10:26 PM, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
> > 
> > 
> > 
> > Thank you,
> > I am having oldverdion 1.2 but if i upgrade many system related things are getting affected. So bit worried how to handle this..
> > 
> > Sudheer 
> > Sent from Yahoo Mail for iPhone
> > 
> > On Thursday, August 11, 2016, 10:17 PM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
> > The relevant parameters are 
> > 
> > figure.facecolor
> > and
> > savefigure.facecolor
> > 
> > but as I indicated before I think your issue is due to an out of date version of Jupyter/IPython and is fixed in the latest version. Please can you check which versions you are running
> > I think the issue that you are seeing is https://github.com/ipython/ipython/issues/7964 which was fixed in IPython 3.2
> > 
> > 
> > best
> > Jens
> > 
> > 
> > On Thu, 11 Aug 2016 at 17:33 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> > Thank you Benjamin & Jens,
> >? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? I have registered in python.org now. Regarding the issue I had already checked the matplotlibrc parameters. I tried increasing margin option but resulting in only plot getting shrunk. There is no apparent effect for facecolor parameter. May I know which parameter sets the margin as non-transparent?
> > With best regards,
> > Sudheer
> > 
> > 
> > 
> > 
> > On Wednesday, 10 August 2016 8:19 PM, Benjamin Root <ben.v.root at gmail.com> wrote:
> > The other reason why this message never got posted is because this message was sent to the now defunct mailing list hosted by sourceforge. The mailing list moved about a year ago (I think) to python.org. You will have to subscribe in order to post unmoderated.
> > 
> > https://mail.python.org/mailman/listinfo/matplotlib-users
> > 
> > Ben Root
> > On Wed, Aug 10, 2016 at 4:25 AM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
> > At least for me gmail put your mail in the spam folder.
> > 
> > Anyway the inline backend is actually from in IPython/Jupyter and not in matplotlib. I think they have changed the default a couple of times and had the transparent as a default earlier but changed it. Looking at the current master it looks like they are respecting the matplotlib default colors from the matplotlib rc params. Can you please check which version on IPython and Jupyter you are running.? 
> > 
> > You can change the matplotlib rc parameters as described in the docs http://matplotlib.org/ users/customizing.html# customizing-matplotlib but the default ones should be white.
> > 
> > best
> > Jens
> > 
> > On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> > Hi,
> > I have send below query to matplotlib user group recently but did not get posted so far. Can you please tell me is there is any thin wrong with the message?
> > With best regards,
> > Sudheer
> > 
> > >
> > > Dear Expert,
> > >? ? ? ? ? ? ? ? Recently after up-gradation of matplotlib and ubuntu 16.04 I am
> > > getting transparent figure axis when using the "linux color scheme"
> > > option in ipython qtconsole. May I know if there is a way to fix this issue?. I
> > > wanted to keep black screen as it reduces eye strain.
> > >
> > > ipython qtconsole --matplotlib inline
> > >
> > > If I save the image i am able to get axis properly but to see on screen as the
> > > axis is not plotted with white background the black axis line and labels are not
> > > visible. Earlier I used to get figures as attached in second figure.
> > > Earlier Satus which I am looking for below link
> > > https://drive.google.com/open? id= 0B3heUQNme7G5ZmVlUHpRakZxUlk
> > > Present status without boarder below link
> > >
> > >
> > > https://drive.google.com/open? id= 0B3heUQNme7G5VkhZWHhiUnpfWDg
> > >
> > > Kindly suggest a solution
> > > with best regards,
> > > Sudheer
> > >
> > 
> > ------------------------------ ------------------------------ ------------------
> > What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
> > patterns at an interface-level. Reveals which users, apps, and protocols are
> > consuming the most bandwidth. Provides multi-vendor support for NetFlow,
> > J-Flow, sFlow and other flows. Make informed decisions using capacity
> > planning reports. http://sdm.link/zohodev2dev
> > ______________________________ _________________
> > Matplotlib-users mailing list
> > 
> > Matplotlib-users at lists. sourceforge.net
> > https://lists.sourceforge.net/ lists/listinfo/matplotlib- users
> > 
> > 
> > ------------------------------ ------------------------------ ------------------
> > What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
> > patterns at an interface-level. Reveals which users, apps, and protocols are
> > consuming the most bandwidth. Provides multi-vendor support for NetFlow,
> > J-Flow, sFlow and other flows. Make informed decisions using capacity
> > planning reports. http://sdm.link/zohodev2dev
> > ______________________________ _________________
> > Matplotlib-users mailing list
> > Matplotlib-users at lists. sourceforge.net
> > https://lists.sourceforge.net/ lists/listinfo/matplotlib- users
> > 
> > 
> > _______________________________________________
> > Matplotlib-users mailing list
> > Matplotlib-users at python.org
> > 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 dipugee at gmail.com  Sat Aug 13 23:17:53 2016
From: dipugee at gmail.com (=?utf-8?Q?Dipankar_=E2=80=9CDipu=E2=80=9D_Ganguly?=)
Date: Sat, 13 Aug 2016 20:17:53 -0700
Subject: [Matplotlib-users] Matplotlib Figure margin transparancy
In-Reply-To: <7E40BF26-FE9F-410A-B252-6D22FDE2798E@icloud.com>
References: <1074502846.8976369.1470373577355.JavaMail.yahoo.ref@mail.yahoo.com>
 <1074502846.8976369.1470373577355.JavaMail.yahoo@mail.yahoo.com>
 <98196673.9419492.1470462972338.JavaMail.yahoo@mail.yahoo.com>
 <387513974.10971353.1470801664172.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw01aBWPkmgd-13WvSju2b9Lq1BUBRYmV7hbZvu3F22j4Cg@mail.gmail.com>
 <CANNq6FkMeoRxwqApFLebwsXGnEP7wUaVPD+visbDgMadbZYkoQ@mail.gmail.com>
 <1629578972.11836424.1470932929152.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw00i3yK4qa8=wKf=+NT9qen+Gqwrwj+EGfAbkvi3ZzcagA@mail.gmail.com>
 <20608107.11861840.1470934420482.JavaMail.yahoo@mail.yahoo.com>
 <1517479868.11744437.1470982986506.JavaMail.yahoo@mail.yahoo.com>
 <103083546.12553691.1471110844731.JavaMail.yahoo@mail.yahoo.com>
 <9A990727-7186-492E-8A46-BD051DE7B637@icloud.com>
 <62698539.133989.1471134888875@mail.yahoo.com>
 <7E40BF26-FE9F-410A-B252-6D22FDE2798E@icloud.com>
Message-ID: <D63667DD-262B-4B46-9EB2-0A675DFE0283@gmail.com>

What happens with such issues if one uses Jupyter from within Anaconda?s Navigator on a Mac running OS 10.11.6?


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









> On Aug 13, 2016, at 8:06 PM, Scott Lasley <selasley at icloud.com> wrote:
> 
> It appears that jupyter does not use the .ipython_config.py file in the .jupyter directory.  It does use the files in the profile_default directory in your ipython folder, usually ~/.ipython on a Mac.  Here's how I was able to get jupyter qtconsole to launch with %pylab inline
> 
> Create the default ipython profile files.  I think this will overwrite any old default profile files so make a backup if you want to keep the old files
> $ ipython3 profile create
> Find the location of your default profile 
> $ export myipython=$(ipython3 locate profile)
> Edit the ipython_config.py file in your default profile directory
> $ pico "$myipython"/ipython_config.py
> Uncomment the c.InteractiveShellApp.pylab line and change the value to 'inline'
> 
> If want to load certain modules every time you launch qtconsole you can create a file named something like 00_my_startup.ipy in "$myipython"/startup/ containing your imports.  See the "$myipython"/startup/README file for more info
> 
> Here's the docs on configuring recent versions of ipython
> http://ipython.readthedocs.io/en/stable/config/intro.html#the-ipython-directory
> 
> Best regards,
> Scott
> 
>> On Aug 13, 2016, at 20:34, Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
>> 
>> Thank you for the reply,
>> Yes this way it works, But I was looking towards a way to set this option in startup file so that one need not type %pylab inline always after starting the kernal
>> 
>> 
>> with best regards,
>> Suhdheer
>> On Sunday, 14 August 2016 4:48 AM, Scott Lasley <selasley at icloud.com> wrote:
>> 
>> 
>> If I launch jupyter with the --pylab flag it exits with this message
>> $ jupyter qtconsole --pylab
>> ...
>> [JupyterQtConsoleApp] CRITICAL | Bad config encountered during initialization:
>> [JupyterQtConsoleApp] CRITICAL | Unrecognized flag: '--pylab'
>> 
>> Can you launch qtconsole then use the jupyter magics to set up pylab and inline plotting?
>> 
>> $ jupyter qtconsole
>> (then in the QtConsole window enter)
>> In [1]: %pylab
>> Using matplotlib backend: MacOSX
>> Populating the interactive namespace from numpy and matplotlib
>> 
>> In [2]: %matplotlib inline
>> 
>> In [3]: plot([1, 2, 3])
>> 
>> plots in the QtConsole window.
>> 
>> This is in OS X 10.11 with python 3.5.2, matplotlib 2.0.0b3, ipython 5.1.0 and jupyter 4.1.1.  Note that I had some problems with the qtconsole when using the %pylab magic.  It's possible the problems arose because I'm using the beta version of matplotlib 2.
>> 
>> hth,
>> Scott
>> 
>>> On Aug 13, 2016, at 13:54, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
>>> 
>>> Hi all,
>>>               After following suggestion to upgrade to jupyter, I have installed jupyter. but not able to start either jupyter or ipython with --pylab inline mode .
>>> If I start 
>>> sjo at SJOLTP../.jupyter~$ ipython qtconsole --pylab inline
>>> [TerminalIPythonApp] WARNING | Subcommand `ipython qtconsole` is deprecated and will be removed in future versions.
>>> 
>>> I wont sart qtconsole.
>>> If I start jupyter after going to .jupyter directory it starts with pylab inline taking it form profile file ipython_config.py
>>> If I go to any other directory it wont take the configuration file.
>>> I have below line in the above ipython_config.py
>>> c.TerminalIPythonApp.profile = u'/home/sjo/.jupyter/ipython_config.py'
>>> 
>>> However none works for me to make pylab inline option.
>>> Can any one throw some light in to this issue?
>>> 
>>> sjo at SJOLTP../.jupyter~$ ls
>>> ipython_config.py  jupyter.desktop    jupyter_qtconsole_config.py  pynb  startup
>>> ipython.desktop    jupyter_nb.desktop  migrated                    qtpy
>>> sjo at SJOLTP../.jupyter~$ pwd
>>> /home/sjo/.jupyter
>>> sjo at SJOLTP../.jupyter~$ ls
>>> ipython_config.py  jupyter.desktop    jupyter_qtconsole_config.py  pynb  startup
>>> ipython.desktop    jupyter_nb.desktop  migrated                    qtpy
>>> sjo at SJOLTP../.jupyter~$ jupyter --version
>>> 4.1.1
>>> sjo at SJOLTP../.jupyter~$ ipython --version
>>> 5.0.0
>>> sjo at SJOLTP../.jupyter~$ 
>>> 
>>> 
>>> *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
>>> 
>>> 
>>> On Friday, 12 August 2016 12:02 PM, Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
>>> 
>>> 
>>> Thank you I got it fixed after following the link of bug report.
>>> I have added 
>>> rcParams['figure.facecolor'] = 'w'
>>> in 00_startup.py file in my ipython startup directory which fixed the issue
>>> 
>>> *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
>>> 
>>> 
>>> 
>>> 
>>> On Thursday, 11 August 2016 10:26 PM, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
>>> 
>>> 
>>> 
>>> Thank you,
>>> I am having oldverdion 1.2 but if i upgrade many system related things are getting affected. So bit worried how to handle this..
>>> 
>>> Sudheer 
>>> Sent from Yahoo Mail for iPhone
>>> 
>>> On Thursday, August 11, 2016, 10:17 PM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
>>> The relevant parameters are 
>>> 
>>> figure.facecolor
>>> and
>>> savefigure.facecolor
>>> 
>>> but as I indicated before I think your issue is due to an out of date version of Jupyter/IPython and is fixed in the latest version. Please can you check which versions you are running
>>> I think the issue that you are seeing is https://github.com/ipython/ipython/issues/7964 which was fixed in IPython 3.2
>>> 
>>> 
>>> best
>>> Jens
>>> 
>>> 
>>> On Thu, 11 Aug 2016 at 17:33 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
>>> Thank you Benjamin & Jens,
>>>                                                 I have registered in python.org now. Regarding the issue I had already checked the matplotlibrc parameters. I tried increasing margin option but resulting in only plot getting shrunk. There is no apparent effect for facecolor parameter. May I know which parameter sets the margin as non-transparent?
>>> With best regards,
>>> Sudheer
>>> 
>>> 
>>> 
>>> 
>>> On Wednesday, 10 August 2016 8:19 PM, Benjamin Root <ben.v.root at gmail.com> wrote:
>>> The other reason why this message never got posted is because this message was sent to the now defunct mailing list hosted by sourceforge. The mailing list moved about a year ago (I think) to python.org. You will have to subscribe in order to post unmoderated.
>>> 
>>> https://mail.python.org/mailman/listinfo/matplotlib-users
>>> 
>>> Ben Root
>>> On Wed, Aug 10, 2016 at 4:25 AM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
>>> At least for me gmail put your mail in the spam folder.
>>> 
>>> Anyway the inline backend is actually from in IPython/Jupyter and not in matplotlib. I think they have changed the default a couple of times and had the transparent as a default earlier but changed it. Looking at the current master it looks like they are respecting the matplotlib default colors from the matplotlib rc params. Can you please check which version on IPython and Jupyter you are running.  
>>> 
>>> You can change the matplotlib rc parameters as described in the docs http://matplotlib.org/ users/customizing.html# customizing-matplotlib but the default ones should be white.
>>> 
>>> best
>>> Jens
>>> 
>>> On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
>>> Hi,
>>> I have send below query to matplotlib user group recently but did not get posted so far. Can you please tell me is there is any thin wrong with the message?
>>> With best regards,
>>> Sudheer
>>> 
>>>> 
>>>> Dear Expert,
>>>>               Recently after up-gradation of matplotlib and ubuntu 16.04 I am
>>>> getting transparent figure axis when using the "linux color scheme"
>>>> option in ipython qtconsole. May I know if there is a way to fix this issue?. I
>>>> wanted to keep black screen as it reduces eye strain.
>>>> 
>>>> ipython qtconsole --matplotlib inline
>>>> 
>>>> If I save the image i am able to get axis properly but to see on screen as the
>>>> axis is not plotted with white background the black axis line and labels are not
>>>> visible. Earlier I used to get figures as attached in second figure.
>>>> Earlier Satus which I am looking for below link
>>>> https://drive.google.com/open? id= 0B3heUQNme7G5ZmVlUHpRakZxUlk
>>>> Present status without boarder below link
>>>> 
>>>> 
>>>> https://drive.google.com/open? id= 0B3heUQNme7G5VkhZWHhiUnpfWDg
>>>> 
>>>> Kindly suggest a solution
>>>> with best regards,
>>>> Sudheer
>>>> 
>>> 
>>> ------------------------------ ------------------------------ ------------------
>>> What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
>>> patterns at an interface-level. Reveals which users, apps, and protocols are
>>> consuming the most bandwidth. Provides multi-vendor support for NetFlow,
>>> J-Flow, sFlow and other flows. Make informed decisions using capacity
>>> planning reports. http://sdm.link/zohodev2dev
>>> ______________________________ _________________
>>> Matplotlib-users mailing list
>>> 
>>> Matplotlib-users at lists. sourceforge.net
>>> https://lists.sourceforge.net/ lists/listinfo/matplotlib- users
>>> 
>>> 
>>> ------------------------------ ------------------------------ ------------------
>>> What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
>>> patterns at an interface-level. Reveals which users, apps, and protocols are
>>> consuming the most bandwidth. Provides multi-vendor support for NetFlow,
>>> J-Flow, sFlow and other flows. Make informed decisions using capacity
>>> planning reports. http://sdm.link/zohodev2dev
>>> ______________________________ _________________
>>> Matplotlib-users mailing list
>>> Matplotlib-users at lists. sourceforge.net
>>> https://lists.sourceforge.net/ lists/listinfo/matplotlib- users
>>> 
>>> 
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Matplotlib-users at python.org
>>> 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
>> 
>> 
> 
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users

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From sudheer.joseph at yahoo.com  Sat Aug 13 23:58:43 2016
From: sudheer.joseph at yahoo.com (Sudheer Joseph)
Date: Sun, 14 Aug 2016 03:58:43 +0000 (UTC)
Subject: [Matplotlib-users] Matplotlib Figure margin transparancy
In-Reply-To: <1321E0CB-8B9F-45D8-934C-FD28D6EAF8F4@icloud.com>
References: <1074502846.8976369.1470373577355.JavaMail.yahoo.ref@mail.yahoo.com>
 <1074502846.8976369.1470373577355.JavaMail.yahoo@mail.yahoo.com>
 <98196673.9419492.1470462972338.JavaMail.yahoo@mail.yahoo.com>
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 <CAM-Pw01aBWPkmgd-13WvSju2b9Lq1BUBRYmV7hbZvu3F22j4Cg@mail.gmail.com>
 <CANNq6FkMeoRxwqApFLebwsXGnEP7wUaVPD+visbDgMadbZYkoQ@mail.gmail.com>
 <1629578972.11836424.1470932929152.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw00i3yK4qa8=wKf=+NT9qen+Gqwrwj+EGfAbkvi3ZzcagA@mail.gmail.com>
 <20608107.11861840.1470934420482.JavaMail.yahoo@mail.yahoo.com>
 <1517479868.11744437.1470982986506.JavaMail.yahoo@mail.yahoo.com>
 <103083546.12553691.1471110844731.JavaMail.yahoo@mail.yahoo.com>
 <9A990727-7186-492E-8A46-BD051DE7B637@icloud.com>
 <62698539.133989.1471134888875@mail.yahoo.com>
 <7E40BF26-FE9F-410A-B252-6D22FDE2798E@icloud.com>
 <703791605.12336194.1471144736220.JavaMail.yahoo@mail.yahoo.com>
 <1321E0CB-8B9F-45D8-934C-FD28D6EAF8F4@icloud.com>
Message-ID: <1346583602.12708199.1471147123082.JavaMail.yahoo@mail.yahoo.com>

Thank you,but no mercy from Ipyton.With best regards,Sudheersjo at SJOLTP../startup~$ ls -lrttotal 12-rw-r--r-- 1 sjo sjo 371 Aug 13 21:20 README-rw-rw-r-- 1 sjo sjo 156 Aug 14 07:56 XX00-path_set.py-rw-rw-r-- 1 sjo sjo 136 Aug 14 08:10 00-path_set.ipy
?*************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************

 
      From: Scott Lasley <selasley at icloud.com>
 To: Sudheer Joseph <sudheer.joseph at yahoo.com> 
Cc: "matplotlib-users at python.org" <matplotlib-users at python.org>
 Sent: Sunday, 14 August 2016 9:05 AM
 Subject: Re: [Matplotlib-users] Matplotlib Figure margin transparancy
   
Try changing the name of the file 00-path_set.py to 00-path_set.ipy to indicate that it is an ipython file.? That makes a difference on my system.

hth,
Scott

> On Aug 13, 2016, at 23:18, Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> 
> Thank you,
>? ? ? ? ? ? ? ? ? I am facing a problem that edges are becoming transparent after fixing the inline issue. with ipython it was possible to? fix this issue by configuring startup files as below. But jupyter seems not taking startup files
> With best regards.
> Sudheer
> 
> /home/sjo/.ipython/profile_default/startup
> sjo at SJOLTP../startup~$ ls
> 00-path_set.py? README? XX00-path_set.py
> sjo at SJOLTP../startup~$ cat 00-path_set.py 
> import sys
> import matplotlib as mpl
> mpl.rcParams['figure.facecolor'] = 'w'
> mypath="/home/sjo/PKGS/SJO_PY_CODES"
> sys.path.append(mypath)
> 
> <blob.jpg>
>? 
> *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
> 
> 
> From: Scott Lasley <selasley at icloud.com>
> To: Sudheer Joseph <sudheer.joseph at yahoo.com> 
> Cc: "matplotlib-users at python.org" <matplotlib-users at python.org>
> Sent: Sunday, 14 August 2016 8:36 AM
> Subject: Re: [Matplotlib-users] Matplotlib Figure margin transparancy
> 
> It appears that jupyter does not use the .ipython_config.py file in the .jupyter directory.? It does use the files in the profile_default directory in your ipython folder, usually ~/.ipython on a Mac.? Here's how I was able to get jupyter qtconsole to launch with %pylab inline
> 
> Create the default ipython profile files.? I think this will overwrite any old default profile files so make a backup if you want to keep the old files
> $ ipython3 profile create
> Find the location of your default profile 
> $ export myipython=$(ipython3 locate profile)
> Edit the ipython_config.py file in your default profile directory
> $ pico "$myipython"/ipython_config.py
> Uncomment the c.InteractiveShellApp.pylab line and change the value to 'inline'
> 
> If want to load certain modules every time you launch qtconsole you can create a file named something like 00_my_startup.ipy in "$myipython"/startup/ containing your imports.? See the "$myipython"/startup/README file for more info
> 
> Here's the docs on configuring recent versions of ipython
> http://ipython.readthedocs.io/en/stable/config/intro.html#the-ipython-directory
> 
> Best regards,
> Scott
> 
> > On Aug 13, 2016, at 20:34, Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> > 
> > Thank you for the reply,
> > Yes this way it works, But I was looking towards a way to set this option in startup file so that one need not type %pylab inline always after starting the kernal
> > 
> > 
> > with best regards,
> > Suhdheer
> > On Sunday, 14 August 2016 4:48 AM, Scott Lasley <selasley at icloud.com> wrote:
> > 
> > 
> > If I launch jupyter with the --pylab flag it exits with this message
> > $ jupyter qtconsole --pylab
> > ...
> > [JupyterQtConsoleApp] CRITICAL | Bad config encountered during initialization:
> > [JupyterQtConsoleApp] CRITICAL | Unrecognized flag: '--pylab'
> > 
> > Can you launch qtconsole then use the jupyter magics to set up pylab and inline plotting?
> > 
> > $ jupyter qtconsole
> > (then in the QtConsole window enter)
> > In [1]: %pylab
> > Using matplotlib backend: MacOSX
> > Populating the interactive namespace from numpy and matplotlib
> > 
> > In [2]: %matplotlib inline
> > 
> > In [3]: plot([1, 2, 3])
> > 
> > plots in the QtConsole window.
> > 
> > This is in OS X 10.11 with python 3.5.2, matplotlib 2.0.0b3, ipython 5.1.0 and jupyter 4.1.1.? Note that I had some problems with the qtconsole when using the %pylab magic.? It's possible the problems arose because I'm using the beta version of matplotlib 2.
> > 
> > hth,
> > Scott
> > 
> > > On Aug 13, 2016, at 13:54, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
> > > 
> > > Hi all,
> > >? ? ? ? ? ? ? ? After following suggestion to upgrade to jupyter, I have installed jupyter. but not able to start either jupyter or ipython with --pylab inline mode .
> > > If I start 
> > > sjo at SJOLTP../.jupyter~$ ipython qtconsole --pylab inline
> > > [TerminalIPythonApp] WARNING | Subcommand `ipython qtconsole` is deprecated and will be removed in future versions.
> > > 
> > > I wont sart qtconsole.
> > > If I start jupyter after going to .jupyter directory it starts with pylab inline taking it form profile file ipython_config.py
> > > If I go to any other directory it wont take the configuration file.
> > > I have below line in the above ipython_config.py
> > > c.TerminalIPythonApp.profile = u'/home/sjo/.jupyter/ipython_config.py'
> > > 
> > > However none works for me to make pylab inline option.
> > > Can any one throw some light in to this issue?
> > > 
> > > sjo at SJOLTP../.jupyter~$ ls
> > > ipython_config.py? jupyter.desktop? ? jupyter_qtconsole_config.py? pynb? startup
> > > ipython.desktop? ? jupyter_nb.desktop? migrated? ? ? ? ? ? ? ? ? ? qtpy
> > > sjo at SJOLTP../.jupyter~$ pwd
> > > /home/sjo/.jupyter
> > > sjo at SJOLTP../.jupyter~$ ls
> > > ipython_config.py? jupyter.desktop? ? jupyter_qtconsole_config.py? pynb? startup
> > > ipython.desktop? ? jupyter_nb.desktop? migrated? ? ? ? ? ? ? ? ? ? qtpy
> > > sjo at SJOLTP../.jupyter~$ jupyter --version
> > > 4.1.1
> > > sjo at SJOLTP../.jupyter~$ ipython --version
> > > 5.0.0
> > > sjo at SJOLTP../.jupyter~$ 
> > > 
> > >? 
> > > *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
> > > 
> > > 
> > > On Friday, 12 August 2016 12:02 PM, Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> > > 
> > > 
> > > Thank you I got it fixed after following the link of bug report.
> > > I have added 
> > > rcParams['figure.facecolor'] = 'w'
> > > in 00_startup.py file in my ipython startup directory which fixed the issue
> > >? 
> > > *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
> > > 
> > > 
> > > 
> > > 
> > > On Thursday, 11 August 2016 10:26 PM, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
> > > 
> > > 
> > > 
> > > Thank you,
> > > I am having oldverdion 1.2 but if i upgrade many system related things are getting affected. So bit worried how to handle this..
> > > 
> > > Sudheer 
> > > Sent from Yahoo Mail for iPhone
> > > 
> > > On Thursday, August 11, 2016, 10:17 PM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
> > > The relevant parameters are 
> > > 
> > > figure.facecolor
> > > and
> > > savefigure.facecolor
> > > 
> > > but as I indicated before I think your issue is due to an out of date version of Jupyter/IPython and is fixed in the latest version. Please can you check which versions you are running
> > > I think the issue that you are seeing is https://github.com/ipython/ipython/issues/7964 which was fixed in IPython 3.2
> > > 
> > > 
> > > best
> > > Jens
> > > 
> > > 
> > > On Thu, 11 Aug 2016 at 17:33 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> > > Thank you Benjamin & Jens,
> > >? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? I have registered in python.org now. Regarding the issue I had already checked the matplotlibrc parameters. I tried increasing margin option but resulting in only plot getting shrunk. There is no apparent effect for facecolor parameter. May I know which parameter sets the margin as non-transparent?
> > > With best regards,
> > > Sudheer
> > > 
> > > 
> > > 
> > > 
> > > On Wednesday, 10 August 2016 8:19 PM, Benjamin Root <ben.v.root at gmail.com> wrote:
> > > The other reason why this message never got posted is because this message was sent to the now defunct mailing list hosted by sourceforge. The mailing list moved about a year ago (I think) to python.org. You will have to subscribe in order to post unmoderated.
> > > 
> > > https://mail.python.org/mailman/listinfo/matplotlib-users
> > > 
> > > Ben Root
> > > On Wed, Aug 10, 2016 at 4:25 AM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
> > > At least for me gmail put your mail in the spam folder.
> > > 
> > > Anyway the inline backend is actually from in IPython/Jupyter and not in matplotlib. I think they have changed the default a couple of times and had the transparent as a default earlier but changed it. Looking at the current master it looks like they are respecting the matplotlib default colors from the matplotlib rc params. Can you please check which version on IPython and Jupyter you are running.? 
> > > 
> > > You can change the matplotlib rc parameters as described in the docs http://matplotlib.org/ users/customizing.html# customizing-matplotlib but the default ones should be white.
> > > 
> > > best
> > > Jens
> > > 
> > > On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> > > Hi,
> > > I have send below query to matplotlib user group recently but did not get posted so far. Can you please tell me is there is any thin wrong with the message?
> > > With best regards,
> > > Sudheer
> > > 
> > > >
> > > > Dear Expert,
> > > >? ? ? ? ? ? ? ? Recently after up-gradation of matplotlib and ubuntu 16.04 I am
> > > > getting transparent figure axis when using the "linux color scheme"
> > > > option in ipython qtconsole. May I know if there is a way to fix this issue?. I
> > > > wanted to keep black screen as it reduces eye strain.
> > > >
> > > > ipython qtconsole --matplotlib inline
> > > >
> > > > If I save the image i am able to get axis properly but to see on screen as the
> > > > axis is not plotted with white background the black axis line and labels are not
> > > > visible. Earlier I used to get figures as attached in second figure.
> > > > Earlier Satus which I am looking for below link
> > > > https://drive.google.com/open? id= 0B3heUQNme7G5ZmVlUHpRakZxUlk
> > > > Present status without boarder below link
> > > >
> > > >
> > > > https://drive.google.com/open? id= 0B3heUQNme7G5VkhZWHhiUnpfWDg
> > > >
> > > > Kindly suggest a solution
> > > > with best regards,
> > > > Sudheer
> > > >
> > > 
> > > ------------------------------ ------------------------------ ------------------
> > > What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
> > > patterns at an interface-level. Reveals which users, apps, and protocols are
> > > consuming the most bandwidth. Provides multi-vendor support for NetFlow,
> > > J-Flow, sFlow and other flows. Make informed decisions using capacity
> > > planning reports. http://sdm.link/zohodev2dev
> > > ______________________________ _________________
> > > Matplotlib-users mailing list
> > > 
> > > Matplotlib-users at lists. sourceforge.net
> > > https://lists.sourceforge.net/ lists/listinfo/matplotlib- users
> > > 
> > > 
> > > ------------------------------ ------------------------------ ------------------
> > > What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
> > > patterns at an interface-level. Reveals which users, apps, and protocols are
> > > consuming the most bandwidth. Provides multi-vendor support for NetFlow,
> > > J-Flow, sFlow and other flows. Make informed decisions using capacity
> > > planning reports. http://sdm.link/zohodev2dev
> > > ______________________________ _________________
> > > Matplotlib-users mailing list
> > > Matplotlib-users at lists. sourceforge.net
> > > https://lists.sourceforge.net/ lists/listinfo/matplotlib- users
> > > 
> > > 
> > > _______________________________________________
> > > Matplotlib-users mailing list
> > > Matplotlib-users at python.org
> > > 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
> > 
> > 
> 
> 
> <blob.jpg>


   
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From selasley at icloud.com  Sat Aug 13 23:35:49 2016
From: selasley at icloud.com (Scott Lasley)
Date: Sat, 13 Aug 2016 23:35:49 -0400
Subject: [Matplotlib-users] Matplotlib Figure margin transparancy
In-Reply-To: <703791605.12336194.1471144736220.JavaMail.yahoo@mail.yahoo.com>
References: <1074502846.8976369.1470373577355.JavaMail.yahoo.ref@mail.yahoo.com>
 <1074502846.8976369.1470373577355.JavaMail.yahoo@mail.yahoo.com>
 <98196673.9419492.1470462972338.JavaMail.yahoo@mail.yahoo.com>
 <387513974.10971353.1470801664172.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw01aBWPkmgd-13WvSju2b9Lq1BUBRYmV7hbZvu3F22j4Cg@mail.gmail.com>
 <CANNq6FkMeoRxwqApFLebwsXGnEP7wUaVPD+visbDgMadbZYkoQ@mail.gmail.com>
 <1629578972.11836424.1470932929152.JavaMail.yahoo@mail.yahoo.com>
 <CAM-Pw00i3yK4qa8=wKf=+NT9qen+Gqwrwj+EGfAbkvi3ZzcagA@mail.gmail.com>
 <20608107.11861840.1470934420482.JavaMail.yahoo@mail.yahoo.com>
 <1517479868.11744437.1470982986506.JavaMail.yahoo@mail.yahoo.com>
 <103083546.12553691.1471110844731.JavaMail.yahoo@mail.yahoo.com>
 <9A990727-7186-492E-8A46-BD051DE7B637@icloud.com>
 <62698539.133989.1471134888875@mail.yahoo.com>
 <7E40BF26-FE9F-410A-B252-6D22FDE2798E@icloud.com>
 <703791605.12336194.1471144736220.JavaMail.yahoo@mail.yahoo.com>
Message-ID: <1321E0CB-8B9F-45D8-934C-FD28D6EAF8F4@icloud.com>

Try changing the name of the file 00-path_set.py to 00-path_set.ipy to indicate that it is an ipython file.  That makes a difference on my system.

hth,
Scott

> On Aug 13, 2016, at 23:18, Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> 
> Thank you,
>                   I am facing a problem that edges are becoming transparent after fixing the inline issue. with ipython it was possible to  fix this issue by configuring startup files as below. But jupyter seems not taking startup files
> With best regards.
> Sudheer
> 
> /home/sjo/.ipython/profile_default/startup
> sjo at SJOLTP../startup~$ ls
> 00-path_set.py  README  XX00-path_set.py
> sjo at SJOLTP../startup~$ cat 00-path_set.py 
> import sys
> import matplotlib as mpl
> mpl.rcParams['figure.facecolor'] = 'w'
> mypath="/home/sjo/PKGS/SJO_PY_CODES"
> sys.path.append(mypath)
> 
> <blob.jpg>
>  
> *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
> 
> 
> From: Scott Lasley <selasley at icloud.com>
> To: Sudheer Joseph <sudheer.joseph at yahoo.com> 
> Cc: "matplotlib-users at python.org" <matplotlib-users at python.org>
> Sent: Sunday, 14 August 2016 8:36 AM
> Subject: Re: [Matplotlib-users] Matplotlib Figure margin transparancy
> 
> It appears that jupyter does not use the .ipython_config.py file in the .jupyter directory.  It does use the files in the profile_default directory in your ipython folder, usually ~/.ipython on a Mac.  Here's how I was able to get jupyter qtconsole to launch with %pylab inline
> 
> Create the default ipython profile files.  I think this will overwrite any old default profile files so make a backup if you want to keep the old files
> $ ipython3 profile create
> Find the location of your default profile 
> $ export myipython=$(ipython3 locate profile)
> Edit the ipython_config.py file in your default profile directory
> $ pico "$myipython"/ipython_config.py
> Uncomment the c.InteractiveShellApp.pylab line and change the value to 'inline'
> 
> If want to load certain modules every time you launch qtconsole you can create a file named something like 00_my_startup.ipy in "$myipython"/startup/ containing your imports.  See the "$myipython"/startup/README file for more info
> 
> Here's the docs on configuring recent versions of ipython
> http://ipython.readthedocs.io/en/stable/config/intro.html#the-ipython-directory
> 
> Best regards,
> Scott
> 
> > On Aug 13, 2016, at 20:34, Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> > 
> > Thank you for the reply,
> > Yes this way it works, But I was looking towards a way to set this option in startup file so that one need not type %pylab inline always after starting the kernal
> > 
> > 
> > with best regards,
> > Suhdheer
> > On Sunday, 14 August 2016 4:48 AM, Scott Lasley <selasley at icloud.com> wrote:
> > 
> > 
> > If I launch jupyter with the --pylab flag it exits with this message
> > $ jupyter qtconsole --pylab
> > ...
> > [JupyterQtConsoleApp] CRITICAL | Bad config encountered during initialization:
> > [JupyterQtConsoleApp] CRITICAL | Unrecognized flag: '--pylab'
> > 
> > Can you launch qtconsole then use the jupyter magics to set up pylab and inline plotting?
> > 
> > $ jupyter qtconsole
> > (then in the QtConsole window enter)
> > In [1]: %pylab
> > Using matplotlib backend: MacOSX
> > Populating the interactive namespace from numpy and matplotlib
> > 
> > In [2]: %matplotlib inline
> > 
> > In [3]: plot([1, 2, 3])
> > 
> > plots in the QtConsole window.
> > 
> > This is in OS X 10.11 with python 3.5.2, matplotlib 2.0.0b3, ipython 5.1.0 and jupyter 4.1.1.  Note that I had some problems with the qtconsole when using the %pylab magic.  It's possible the problems arose because I'm using the beta version of matplotlib 2.
> > 
> > hth,
> > Scott
> > 
> > > On Aug 13, 2016, at 13:54, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
> > > 
> > > Hi all,
> > >                After following suggestion to upgrade to jupyter, I have installed jupyter. but not able to start either jupyter or ipython with --pylab inline mode .
> > > If I start 
> > > sjo at SJOLTP../.jupyter~$ ipython qtconsole --pylab inline
> > > [TerminalIPythonApp] WARNING | Subcommand `ipython qtconsole` is deprecated and will be removed in future versions.
> > > 
> > > I wont sart qtconsole.
> > > If I start jupyter after going to .jupyter directory it starts with pylab inline taking it form profile file ipython_config.py
> > > If I go to any other directory it wont take the configuration file.
> > > I have below line in the above ipython_config.py
> > > c.TerminalIPythonApp.profile = u'/home/sjo/.jupyter/ipython_config.py'
> > > 
> > > However none works for me to make pylab inline option.
> > > Can any one throw some light in to this issue?
> > > 
> > > sjo at SJOLTP../.jupyter~$ ls
> > > ipython_config.py  jupyter.desktop    jupyter_qtconsole_config.py  pynb  startup
> > > ipython.desktop    jupyter_nb.desktop  migrated                    qtpy
> > > sjo at SJOLTP../.jupyter~$ pwd
> > > /home/sjo/.jupyter
> > > sjo at SJOLTP../.jupyter~$ ls
> > > ipython_config.py  jupyter.desktop    jupyter_qtconsole_config.py  pynb  startup
> > > ipython.desktop    jupyter_nb.desktop  migrated                    qtpy
> > > sjo at SJOLTP../.jupyter~$ jupyter --version
> > > 4.1.1
> > > sjo at SJOLTP../.jupyter~$ ipython --version
> > > 5.0.0
> > > sjo at SJOLTP../.jupyter~$ 
> > > 
> > >  
> > > *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
> > > 
> > > 
> > > On Friday, 12 August 2016 12:02 PM, Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> > > 
> > > 
> > > Thank you I got it fixed after following the link of bug report.
> > > I have added 
> > > rcParams['figure.facecolor'] = 'w'
> > > in 00_startup.py file in my ipython startup directory which fixed the issue
> > >  
> > > *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
> > > 
> > > 
> > > 
> > > 
> > > On Thursday, 11 August 2016 10:26 PM, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
> > > 
> > > 
> > > 
> > > Thank you,
> > > I am having oldverdion 1.2 but if i upgrade many system related things are getting affected. So bit worried how to handle this..
> > > 
> > > Sudheer 
> > > Sent from Yahoo Mail for iPhone
> > > 
> > > On Thursday, August 11, 2016, 10:17 PM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
> > > The relevant parameters are 
> > > 
> > > figure.facecolor
> > > and
> > > savefigure.facecolor
> > > 
> > > but as I indicated before I think your issue is due to an out of date version of Jupyter/IPython and is fixed in the latest version. Please can you check which versions you are running
> > > I think the issue that you are seeing is https://github.com/ipython/ipython/issues/7964 which was fixed in IPython 3.2
> > > 
> > > 
> > > best
> > > Jens
> > > 
> > > 
> > > On Thu, 11 Aug 2016 at 17:33 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> > > Thank you Benjamin & Jens,
> > >                                                  I have registered in python.org now. Regarding the issue I had already checked the matplotlibrc parameters. I tried increasing margin option but resulting in only plot getting shrunk. There is no apparent effect for facecolor parameter. May I know which parameter sets the margin as non-transparent?
> > > With best regards,
> > > Sudheer
> > > 
> > > 
> > > 
> > > 
> > > On Wednesday, 10 August 2016 8:19 PM, Benjamin Root <ben.v.root at gmail.com> wrote:
> > > The other reason why this message never got posted is because this message was sent to the now defunct mailing list hosted by sourceforge. The mailing list moved about a year ago (I think) to python.org. You will have to subscribe in order to post unmoderated.
> > > 
> > > https://mail.python.org/mailman/listinfo/matplotlib-users
> > > 
> > > Ben Root
> > > On Wed, Aug 10, 2016 at 4:25 AM, Jens Nielsen <jenshnielsen at gmail.com> wrote:
> > > At least for me gmail put your mail in the spam folder.
> > > 
> > > Anyway the inline backend is actually from in IPython/Jupyter and not in matplotlib. I think they have changed the default a couple of times and had the transparent as a default earlier but changed it. Looking at the current master it looks like they are respecting the matplotlib default colors from the matplotlib rc params. Can you please check which version on IPython and Jupyter you are running.  
> > > 
> > > You can change the matplotlib rc parameters as described in the docs http://matplotlib.org/ users/customizing.html# customizing-matplotlib but the default ones should be white.
> > > 
> > > best
> > > Jens
> > > 
> > > On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph at yahoo.com> wrote:
> > > Hi,
> > > I have send below query to matplotlib user group recently but did not get posted so far. Can you please tell me is there is any thin wrong with the message?
> > > With best regards,
> > > Sudheer
> > > 
> > > >
> > > > Dear Expert,
> > > >                Recently after up-gradation of matplotlib and ubuntu 16.04 I am
> > > > getting transparent figure axis when using the "linux color scheme"
> > > > option in ipython qtconsole. May I know if there is a way to fix this issue?. I
> > > > wanted to keep black screen as it reduces eye strain.
> > > >
> > > > ipython qtconsole --matplotlib inline
> > > >
> > > > If I save the image i am able to get axis properly but to see on screen as the
> > > > axis is not plotted with white background the black axis line and labels are not
> > > > visible. Earlier I used to get figures as attached in second figure.
> > > > Earlier Satus which I am looking for below link
> > > > https://drive.google.com/open? id= 0B3heUQNme7G5ZmVlUHpRakZxUlk
> > > > Present status without boarder below link
> > > >
> > > >
> > > > https://drive.google.com/open? id= 0B3heUQNme7G5VkhZWHhiUnpfWDg
> > > >
> > > > Kindly suggest a solution
> > > > with best regards,
> > > > Sudheer
> > > >
> > > 
> > > ------------------------------ ------------------------------ ------------------
> > > What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
> > > patterns at an interface-level. Reveals which users, apps, and protocols are
> > > consuming the most bandwidth. Provides multi-vendor support for NetFlow,
> > > J-Flow, sFlow and other flows. Make informed decisions using capacity
> > > planning reports. http://sdm.link/zohodev2dev
> > > ______________________________ _________________
> > > Matplotlib-users mailing list
> > > 
> > > Matplotlib-users at lists. sourceforge.net
> > > https://lists.sourceforge.net/ lists/listinfo/matplotlib- users
> > > 
> > > 
> > > ------------------------------ ------------------------------ ------------------
> > > What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
> > > patterns at an interface-level. Reveals which users, apps, and protocols are
> > > consuming the most bandwidth. Provides multi-vendor support for NetFlow,
> > > J-Flow, sFlow and other flows. Make informed decisions using capacity
> > > planning reports. http://sdm.link/zohodev2dev
> > > ______________________________ _________________
> > > Matplotlib-users mailing list
> > > Matplotlib-users at lists. sourceforge.net
> > > https://lists.sourceforge.net/ lists/listinfo/matplotlib- users
> > > 
> > > 
> > > _______________________________________________
> > > Matplotlib-users mailing list
> > > Matplotlib-users at python.org
> > > 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
> > 
> > 
> 
> 
> <blob.jpg>


From winash12 at gmail.com  Tue Aug 16 23:02:34 2016
From: winash12 at gmail.com (ashwinD12 .)
Date: Wed, 17 Aug 2016 08:32:34 +0530
Subject: [Matplotlib-users] matplotlib runtime errors after installing
 Ubuntu 16.04
Message-ID: <CAH0LXy6_ab6qyHShwEkcJ2MmmZg-dgbmnAC7sXGZ1FromSD++Q@mail.gmail.com>

Hello,
            I have matplotlib installed via sudo apt-get install on Ubuntu
16.04 and when I run my old scripts(developed on Ubuntu 14.04) I get this
run time error . I do have basemap installed as well as pyproj using sudo
apt-get.

Traceback (most recent call last):File "contour.py", line 30, in <module>
x,y = m(lons,lats)File
"/usr/lib/python3/dist-packages/mpl_toolkits/basemap/__init__.py",
line 1148, in __call__
 xout,yout = self.projtran(x,y,inverse=inverse)sys.exit()
 File "/usr/lib/python3/dist-packages/mpl_toolkits/basemap/proj.py",
line 286, in __call__
  outx,outy = self._proj4(x, y, inverse=inverse)
  File "/usr/lib/python3/dist-packages/mpl_toolkits/basemap/pyproj.py",
line 392, in __call__
 _proj.Proj._fwd(self, inx, iny, radians=radians, errcheck=errcheck)
 File "_proj.pyx", line 122, in _proj.Proj._fwd (src/_proj.c:1571)
 SystemError: <class 'RuntimeError'> returned a result with an error set

This is the code I am running

 nc_f = './hgt_500_2014_12_5_00Z.nc'
 nc_fid = Dataset(nc_f, 'r')
                         # and create an instance of the ncCDF4 class
 lats = nc_fid.variables['lat'][:]  # extract/copy the data

 lons = nc_fid.variables['lon'][:]

 time = nc_fid.variables['time'][:]
 hgt = nc_fid.variables['hgt'][:]


 m = Basemap(width=5000000,height=3500000,
 resolution='l',projection='stere', lat_0 = 0, lon_0 = 0, lat_ts = 40)

 lons,lats = np.meshgrid(lons, lats,copy=False)


  x,y = m(lons,lats)   <----- CODE FAILS HERE

  m.drawcoastlines()
  m.drawcountries()

Any thoughts ?

Regards,

Ashwin.
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From aeuii at posteo.de  Wed Aug 17 05:01:42 2016
From: aeuii at posteo.de (aeuii at posteo.de)
Date: Wed, 17 Aug 2016 11:01:42 +0200
Subject: [Matplotlib-users] detect axes belonging to a colorbar
Message-ID: <8637m34vm1.fsf@example.com>

Hi,

I would like to iterate over fig.axes and apply some changes to regular
axes and skip those belonging to colorbars.

What's the best way (having only fig object) to detect if an axis
belongs to a colorbar or not?

Thanks for an advice.

Best regards,
Stefan


From kenneth.hoste at ugent.be  Thu Aug 18 03:42:07 2016
From: kenneth.hoste at ugent.be (Kenneth Hoste)
Date: Thu, 18 Aug 2016 09:42:07 +0200
Subject: [Matplotlib-users] matploblib 1.5.2 release tagged on GitHub but
 not on PyPI
Message-ID: <88949dc3-6347-2956-b1fc-7646b4194296@ugent.be>

Hi all,

I noticed that even though matplotlib 1.5.2 has been tagged on GitHub 
[1], it has not been released on PyPI where the latest available 
(stable) version is still 1.5.1.

As far as I can tell, there hasn't been a release announcement for 
version 1.5.2 either.

Does anyone know why this is the case?


regards,

Kenneth

[1] https://github.com/matplotlib/matplotlib/releases/tag/v1.5.2
[2] https://pypi.python.org/pypi/matplotlib/1.5.1 (no 
https://pypi.python.org/pypi/matplotlib/1.5.2)

From ben.v.root at gmail.com  Thu Aug 18 09:09:00 2016
From: ben.v.root at gmail.com (Benjamin Root)
Date: Thu, 18 Aug 2016 09:09:00 -0400
Subject: [Matplotlib-users] matploblib 1.5.2 release tagged on GitHub
 but not on PyPI
In-Reply-To: <88949dc3-6347-2956-b1fc-7646b4194296@ugent.be>
References: <88949dc3-6347-2956-b1fc-7646b4194296@ugent.be>
Message-ID: <CANNq6Fma6ZBPJcoL0QG5FH6q+V+x+GpBJpEHE0jMcXLToyw34g@mail.gmail.com>

There was a last-minute set of critical bug reports that came in right when
Thomas were cutting the release, so he halted. He will release v1.5.3 when
he finds the time to do so.

Sorry for the confusion.

Cheers!
Ben Root


On Thu, Aug 18, 2016 at 3:42 AM, Kenneth Hoste <kenneth.hoste at ugent.be>
wrote:

> Hi all,
>
> I noticed that even though matplotlib 1.5.2 has been tagged on GitHub [1],
> it has not been released on PyPI where the latest available (stable)
> version is still 1.5.1.
>
> As far as I can tell, there hasn't been a release announcement for version
> 1.5.2 either.
>
> Does anyone know why this is the case?
>
>
> regards,
>
> Kenneth
>
> [1] https://github.com/matplotlib/matplotlib/releases/tag/v1.5.2
> [2] https://pypi.python.org/pypi/matplotlib/1.5.1 (no
> https://pypi.python.org/pypi/matplotlib/1.5.2)
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
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From juhaszp95 at gmail.com  Fri Aug 19 06:10:02 2016
From: juhaszp95 at gmail.com (juhaszp95 at gmail.com)
Date: Fri, 19 Aug 2016 12:10:02 +0200
Subject: [Matplotlib-users] [Question] Possible bug in plotting large NumPy
 array
Message-ID: <001001d1fa01$da7b73d0$8f725b70$@gmail.com>

Dear Matplotlib users,

 

I am P?ter Juh?sz and I started experimenting with this demo:
http://matplotlib.org/examples/pylab_examples/subplots_demo.html.

 

What I then tried to achieve is to let y be a NumPy array of 2 rows, the
first holding sin(x**2) values, the second holding something else (I set
cos(x**2)), and the make the same plots as in the original demo only by
using the first row of y. Unfortunately, I was quite surprised to see that
pyplot/matplotlib only succeeds with this plotting if scatter plots or
markers are used only, instead of the usual plotting with lines. On the
other hand, with some tricks in the NumPy array (some reshapes and slicing)
I was able to make pyplot/matplotlib work for both scatter plots and the
usual simple plots. This however possibly takes much more time, so for big
datasets does not seem feasible and anyway I do not see an obvious reason
why a dataset should only work with scatter plots but not the usual, simple
plots.

 

Please find attached my code below and I would appreciate any
help/explanation, or it is indeed a bug, then if it could be raised to the
developers' attention.

 

My original trial, working only with scatter plots (see for yourself! maybe
it's only my installation what is going wrong?):

 

import matplotlib.pyplot as plt

import numpy as np

 

# Simple data to display in various forms

x = np.linspace(0, 2 * np.pi, 400).reshape(1, 400)

print(x.shape)

y = np.vstack((np.sin(x ** 2), np.cos(x ** 2)))

print(y[:1].shape)

 

plt.close('all')

 

# Three subplots sharing both x/y axes

f, (ax1, ax2, ax3) = plt.subplots(3, sharex=True, sharey=True)

ax1.plot(x, y[:1]) # This is not showing!

ax1.set_title('Sharing both axes')

ax2.scatter(x, y[:1])

ax3.scatter(x, 2 * y[:1] ** 2 - 1, color='r')

# Fine-tune figure; make subplots close to each other and hide x ticks for

# all but bottom plot.

f.subplots_adjust(hspace=0)

plt.setp([a.get_xticklabels() for a in f.axes[:-1]], visible=False)

 

# row and column sharing

f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex='col', sharey='row')

ax1.plot(x, y[:1]) # This is not showing!

ax1.set_title('Sharing x per column, y per row')

ax2.scatter(x, y[:1])

ax3.scatter(x, 2 * y[:1] ** 2 - 1, color='r')

ax4.plot(x, 2 * y[:1] ** 2 - 1, color='r') # This is not showing!

 

plt.show()

 

 

The working solution:

 

import matplotlib.pyplot as plt

import numpy as np

 

# Simple data to display in various forms

x = np.linspace(0, 2 * np.pi, 400).reshape(400, 1)

print(x.shape)

y = np.vstack((np.sin(x ** 2), np.cos(x ** 2))).reshape(400, 2)

print(y[:, 0].shape)

 

plt.close('all')

 

# Three subplots sharing both x/y axes

f, (ax1, ax2, ax3) = plt.subplots(3, sharex=True, sharey=True)

ax1.plot(x, y[:, 0])

ax1.set_title('Sharing both axes')

ax2.scatter(x, y[:, 0])

ax3.scatter(x, 2 * y[:, 0] ** 2 - 1, color='r')

# Fine-tune figure; make subplots close to each other and hide x ticks for

# all but bottom plot.

f.subplots_adjust(hspace=0)

plt.setp([a.get_xticklabels() for a in f.axes[:-1]], visible=False)

 

# row and column sharing

f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex='col', sharey='row')

ax1.plot(x, y[:, 0])

ax1.set_title('Sharing x per column, y per row')

ax2.scatter(x, y[:, 0])

ax3.scatter(x, 2 * y[:, 0] ** 2 - 1, color='r')

ax4.plot(x, 2 * y[:, 0] ** 2 - 1, color='r')

 

plt.show()

 

I did not modify anything else in the code respective to the original demo
than what I mentioned. I hope you will be able to help.

 

Kind regards,

P?ter

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From jenshnielsen at gmail.com  Fri Aug 19 06:31:49 2016
From: jenshnielsen at gmail.com (Jens Nielsen)
Date: Fri, 19 Aug 2016 10:31:49 +0000
Subject: [Matplotlib-users] [Question] Possible bug in plotting large
 NumPy array
In-Reply-To: <001001d1fa01$da7b73d0$8f725b70$@gmail.com>
References: <001001d1fa01$da7b73d0$8f725b70$@gmail.com>
Message-ID: <CAM-Pw01X1_b6oN1cNxJywE9RGQQ8xnhRBxBSEdagS3VnEYcVAw@mail.gmail.com>

The problem is the way you are slicing your data

by doing y[:1] you are creating a 1 by 400 array. When you try to plot that
you will get 400 individual line plots each with only one point. A line
plot with one point is invisible since there in no other points to draw the
lines between. You will not notice that with scatter since it defaults to
drawing a point for each data point. If you add a marker you can see whats
going on.
I.e. do
ax1.plot(x, y[:1], 'o')
in the first example and you will notice that the points color cycle as a
new plot is created.

If you really want to slice this way you have to ensure that your data is
along the first dimension.  I.e. you can do `ax1.plot(x.transpose(),
y[:1].transpose())` which plots 400 by 1 arrays

Hope that helps
Jens



On Fri, 19 Aug 2016 at 11:10 <juhaszp95 at gmail.com> wrote:

> Dear Matplotlib users,
>
>
>
> I am P?ter Juh?sz and I started experimenting with this demo:
> http://matplotlib.org/examples/pylab_examples/subplots_demo.html.
>
>
>
> What I then tried to achieve is to let *y* be a NumPy array of 2 rows,
> the first holding sin(x**2) values, the second holding something else (I
> set cos(x**2)), and the make the same plots as in the original demo only by
> using the first row of *y*. Unfortunately, I was quite surprised to see
> that pyplot/matplotlib only succeeds with this plotting if *scatter plots*
> or *markers* are used *only*, instead of the usual plotting with lines.
> On the other hand, with some tricks in the NumPy array (some reshapes and
> slicing) I was able to make pyplot/matplotlib work for both scatter plots
> and the usual simple plots. This however possibly takes much more time, so
> for big datasets does not seem feasible and anyway I do not see an obvious
> reason why a dataset should only work with scatter plots but not the usual,
> simple plots.
>
>
>
> Please find attached my code below and I would appreciate any
> help/explanation, or it is indeed a bug, then if it could be raised to the
> developers? attention.
>
>
>
> My original trial, working only with scatter plots (see for yourself!
> maybe it?s only my installation what is going wrong?):
>
>
>
> import matplotlib.pyplot as plt
>
> import numpy as np
>
>
>
> # Simple data to display in various forms
>
> x = np.linspace(0, 2 * np.pi, 400).reshape(1, 400)
>
> print(x.shape)
>
> y = np.vstack((np.sin(x ** 2), np.cos(x ** 2)))
>
> print(y[:1].shape)
>
>
>
> plt.close(*'all'*)
>
>
>
> # Three *subplots* sharing both x/y axes
>
> f, (ax1, ax2, ax3) = plt.subplots(3, sharex=True, sharey=True)
>
> ax1.plot(x, y[:1]) # This is not showing!
>
> ax1.set_title(*'Sharing both axes'*)
>
> ax2.scatter(x, y[:1])
>
> ax3.scatter(x, 2 * y[:1] ** 2 - 1, color=*'r'*)
>
> # Fine-tune figure; make *subplots* close to each other and hide x ticks
> for
>
> # all but bottom plot.
>
> f.subplots_adjust(hspace=0)
>
> plt.setp([a.get_xticklabels() for a in f.axes[:-1]], visible=False)
>
>
>
> # row and column sharing
>
> f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex=*'col'*, sharey=
> *'row'*)
>
> ax1.plot(x, y[:1]) # This is not showing!
>
> ax1.set_title(*'Sharing x per column, y per row'*)
>
> ax2.scatter(x, y[:1])
>
> ax3.scatter(x, 2 * y[:1] ** 2 - 1, color=*'r'*)
>
> ax4.plot(x, 2 * y[:1] ** 2 - 1, color=*'r'*) # This is not showing!
>
>
>
> plt.show()
>
>
>
>
>
> The working solution:
>
>
>
> import matplotlib.pyplot as plt
>
> import numpy as np
>
>
>
> # Simple data to display in various forms
>
> x = np.linspace(0, 2 * np.pi, 400).reshape(400, 1)
>
> print(x.shape)
>
> y = np.vstack((np.sin(x ** 2), np.cos(x ** 2))).reshape(400, 2)
>
> print(y[:, 0].shape)
>
>
>
> plt.close(*'all'*)
>
>
>
> # Three *subplots* sharing both x/y axes
>
> f, (ax1, ax2, ax3) = plt.subplots(3, sharex=True, sharey=True)
>
> ax1.plot(x, y[:, 0])
>
> ax1.set_title(*'Sharing both axes'*)
>
> ax2.scatter(x, y[:, 0])
>
> ax3.scatter(x, 2 * y[:, 0] ** 2 - 1, color=*'r'*)
>
> # Fine-tune figure; make *subplots* close to each other and hide x ticks
> for
>
> # all but bottom plot.
>
> f.subplots_adjust(hspace=0)
>
> plt.setp([a.get_xticklabels() for a in f.axes[:-1]], visible=False)
>
>
>
> # row and column sharing
>
> f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex=*'col'*, sharey=
> *'row'*)
>
> ax1.plot(x, y[:, 0])
>
> ax1.set_title(*'Sharing x per column, y per row'*)
>
> ax2.scatter(x, y[:, 0])
>
> ax3.scatter(x, 2 * y[:, 0] ** 2 - 1, color=*'r'*)
>
> ax4.plot(x, 2 * y[:, 0] ** 2 - 1, color=*'r'*)
>
>
>
> plt.show()
>
>
>
> I did not modify anything else in the code respective to the original demo
> than what I mentioned. I hope you will be able to help.
>
>
>
> Kind regards,
>
> P?ter
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
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From juhaszp95 at gmail.com  Fri Aug 19 07:31:11 2016
From: juhaszp95 at gmail.com (juhaszp95 at gmail.com)
Date: Fri, 19 Aug 2016 13:31:11 +0200
Subject: [Matplotlib-users] [Question] Possible bug in plotting large
 NumPy array
In-Reply-To: <CAM-Pw01X1_b6oN1cNxJywE9RGQQ8xnhRBxBSEdagS3VnEYcVAw@mail.gmail.com>
References: <001001d1fa01$da7b73d0$8f725b70$@gmail.com>
 <CAM-Pw01X1_b6oN1cNxJywE9RGQQ8xnhRBxBSEdagS3VnEYcVAw@mail.gmail.com>
Message-ID: <000001d1fa0d$303f2ae0$90bd80a0$@gmail.com>

Hi Jens,

 

Thanks very much! This indeed works. I thought PyPlot automatically detects if the data is along which axes, but fair, expecting it in a certain way is more consistent.

 

Many thanks for your help once again!

 

Best wishes,
P?ter

 

From: Jens Nielsen [mailto:jenshnielsen at gmail.com] 
Sent: Friday, August 19, 2016 12:32 PM
To: juhaszp95 at gmail.com; matplotlib-users at python.org
Subject: Re: [Matplotlib-users] [Question] Possible bug in plotting large NumPy array

 

The problem is the way you are slicing your data 

 

by doing y[:1] you are creating a 1 by 400 array. When you try to plot that you will get 400 individual line plots each with only one point. A line plot with one point is invisible since there in no other points to draw the lines between. You will not notice that with scatter since it defaults to drawing a point for each data point. If you add a marker you can see whats going on.

I.e. do 

ax1.plot(x, y[:1], 'o') 

in the first example and you will notice that the points color cycle as a new plot is created.

 

If you really want to slice this way you have to ensure that your data is along the first dimension.  I.e. you can do `ax1.plot(x.transpose(), y[:1].transpose())` which plots 400 by 1 arrays

 

Hope that helps

Jens

 

 

 

On Fri, 19 Aug 2016 at 11:10 <juhaszp95 at gmail.com <mailto:juhaszp95 at gmail.com> > wrote:

Dear Matplotlib users,

 

I am P?ter Juh?sz and I started experimenting with this demo: http://matplotlib.org/examples/pylab_examples/subplots_demo.html.

 

What I then tried to achieve is to let y be a NumPy array of 2 rows, the first holding sin(x**2) values, the second holding something else (I set cos(x**2)), and the make the same plots as in the original demo only by using the first row of y. Unfortunately, I was quite surprised to see that pyplot/matplotlib only succeeds with this plotting if scatter plots or markers are used only, instead of the usual plotting with lines. On the other hand, with some tricks in the NumPy array (some reshapes and slicing) I was able to make pyplot/matplotlib work for both scatter plots and the usual simple plots. This however possibly takes much more time, so for big datasets does not seem feasible and anyway I do not see an obvious reason why a dataset should only work with scatter plots but not the usual, simple plots.

 

Please find attached my code below and I would appreciate any help/explanation, or it is indeed a bug, then if it could be raised to the developers? attention.

 

My original trial, working only with scatter plots (see for yourself! maybe it?s only my installation what is going wrong?):

 

import matplotlib.pyplot as plt

import numpy as np

 

# Simple data to display in various forms

x = np.linspace(0, 2 * np.pi, 400).reshape(1, 400)

print(x.shape)

y = np.vstack((np.sin(x ** 2), np.cos(x ** 2)))

print(y[:1].shape)

 

plt.close('all')

 

# Three subplots sharing both x/y axes

f, (ax1, ax2, ax3) = plt.subplots(3, sharex=True, sharey=True)

ax1.plot(x, y[:1]) # This is not showing!

ax1.set_title('Sharing both axes')

ax2.scatter(x, y[:1])

ax3.scatter(x, 2 * y[:1] ** 2 - 1, color='r')

# Fine-tune figure; make subplots close to each other and hide x ticks for

# all but bottom plot.

f.subplots_adjust(hspace=0)

plt.setp([a.get_xticklabels() for a in f.axes[:-1]], visible=False)

 

# row and column sharing

f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex='col', sharey='row')

ax1.plot(x, y[:1]) # This is not showing!

ax1.set_title('Sharing x per column, y per row')

ax2.scatter(x, y[:1])

ax3.scatter(x, 2 * y[:1] ** 2 - 1, color='r')

ax4.plot(x, 2 * y[:1] ** 2 - 1, color='r') # This is not showing!

 

plt.show()

 

 

The working solution:

 

import matplotlib.pyplot as plt

import numpy as np

 

# Simple data to display in various forms

x = np.linspace(0, 2 * np.pi, 400).reshape(400, 1)

print(x.shape)

y = np.vstack((np.sin(x ** 2), np.cos(x ** 2))).reshape(400, 2)

print(y[:, 0].shape)

 

plt.close('all')

 

# Three subplots sharing both x/y axes

f, (ax1, ax2, ax3) = plt.subplots(3, sharex=True, sharey=True)

ax1.plot(x, y[:, 0])

ax1.set_title('Sharing both axes')

ax2.scatter(x, y[:, 0])

ax3.scatter(x, 2 * y[:, 0] ** 2 - 1, color='r')

# Fine-tune figure; make subplots close to each other and hide x ticks for

# all but bottom plot.

f.subplots_adjust(hspace=0)

plt.setp([a.get_xticklabels() for a in f.axes[:-1]], visible=False)

 

# row and column sharing

f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex='col', sharey='row')

ax1.plot(x, y[:, 0])

ax1.set_title('Sharing x per column, y per row')

ax2.scatter(x, y[:, 0])

ax3.scatter(x, 2 * y[:, 0] ** 2 - 1, color='r')

ax4.plot(x, 2 * y[:, 0] ** 2 - 1, color='r')

 

plt.show()

 

I did not modify anything else in the code respective to the original demo than what I mentioned. I hope you will be able to help.

 

Kind regards,

P?ter

_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org <mailto:Matplotlib-users at python.org> 
https://mail.python.org/mailman/listinfo/matplotlib-users

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From ben.v.root at gmail.com  Fri Aug 19 10:26:26 2016
From: ben.v.root at gmail.com (Benjamin Root)
Date: Fri, 19 Aug 2016 10:26:26 -0400
Subject: [Matplotlib-users] detect axes belonging to a colorbar
In-Reply-To: <8637m34vm1.fsf@example.com>
References: <8637m34vm1.fsf@example.com>
Message-ID: <CANNq6FmAeZ_zJ5iiUVFen6okf8K1SbbwpOi1o8hVC-=E-_DJVg@mail.gmail.com>

No, I don't think there is a way, really. From the perspective of the
figure object, the colorbar looks just like another axes object. There
might be a trick that might work in some cases, but they would be highly
fragile. It would be better to just capture the colorbar object directly,
somehow.

Ben Root

On Wed, Aug 17, 2016 at 5:01 AM, <aeuii at posteo.de> wrote:

> Hi,
>
> I would like to iterate over fig.axes and apply some changes to regular
> axes and skip those belonging to colorbars.
>
> What's the best way (having only fig object) to detect if an axis
> belongs to a colorbar or not?
>
> Thanks for an advice.
>
> Best regards,
> Stefan
>
> _______________________________________________
> 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  Fri Aug 19 10:58:14 2016
From: dipugee at gmail.com (=?utf-8?Q?Dipankar_=E2=80=9CDipu=E2=80=9D_Ganguly?=)
Date: Fri, 19 Aug 2016 07:58:14 -0700
Subject: [Matplotlib-users] [Question] Possible bug in plotting large
 NumPy array
In-Reply-To: <000001d1fa0d$303f2ae0$90bd80a0$@gmail.com>
References: <001001d1fa01$da7b73d0$8f725b70$@gmail.com>
 <CAM-Pw01X1_b6oN1cNxJywE9RGQQ8xnhRBxBSEdagS3VnEYcVAw@mail.gmail.com>
 <000001d1fa0d$303f2ae0$90bd80a0$@gmail.com>
Message-ID: <BDBC66FF-7CA0-4D4F-B1CE-88FDD53564C7@gmail.com>

Hi:

I am trying to learn the basics of plotting in matplotlib. My immediate need is for displaying grayscale images with titles, axis labels & ticks and  within-image annotations. Where can I get good tutorials/demos for such things?

Thanks.

Dipu


Dipankar ?Dipu? Ganguly
dipugee at gmail.com
Cell: 408-203-8814







> On Aug 19, 2016, at 4:31 AM, <juhaszp95 at gmail.com> <juhaszp95 at gmail.com> wrote:
> 
> Hi Jens,
>  
> Thanks very much! This indeed works. I thought PyPlot automatically detects if the data is along which axes, but fair, expecting it in a certain way is more consistent.
>  
> Many thanks for your help once again!
>  
> Best wishes,
> P?ter
> ? <>
> From: Jens Nielsen [mailto:jenshnielsen at gmail.com <mailto:jenshnielsen at gmail.com>] 
> Sent: Friday, August 19, 2016 12:32 PM
> To: juhaszp95 at gmail.com <mailto:juhaszp95 at gmail.com>; matplotlib-users at python.org <mailto:matplotlib-users at python.org>
> Subject: Re: [Matplotlib-users] [Question] Possible bug in plotting large NumPy array
>  
> The problem is the way you are slicing your data 
>  
> by doing y[:1] you are creating a 1 by 400 array. When you try to plot that you will get 400 individual line plots each with only one point. A line plot with one point is invisible since there in no other points to draw the lines between. You will not notice that with scatter since it defaults to drawing a point for each data point. If you add a marker you can see whats going on.
> I.e. do 
> ax1.plot(x, y[:1], 'o') 
> in the first example and you will notice that the points color cycle as a new plot is created.
>  
> If you really want to slice this way you have to ensure that your data is along the first dimension.  I.e. you can do `ax1.plot(x.transpose(), y[:1].transpose())` which plots 400 by 1 arrays
>  
> Hope that helps
> Jens
>  
>  
>  
> On Fri, 19 Aug 2016 at 11:10 <juhaszp95 at gmail.com <mailto:juhaszp95 at gmail.com>> wrote:
>> Dear Matplotlib users,
>>  
>> I am P?ter Juh?sz and I started experimenting with this demo: http://matplotlib.org/examples/pylab_examples/subplots_demo.html <http://matplotlib.org/examples/pylab_examples/subplots_demo.html>.
>>  
>> What I then tried to achieve is to let y be a NumPy array of 2 rows, the first holding sin(x**2) values, the second holding something else (I set cos(x**2)), and the make the same plots as in the original demo only by using the first row of y. Unfortunately, I was quite surprised to see that pyplot/matplotlib only succeeds with this plotting if scatter plots or markers are used only, instead of the usual plotting with lines. On the other hand, with some tricks in the NumPy array (some reshapes and slicing) I was able to make pyplot/matplotlib work for both scatter plots and the usual simple plots. This however possibly takes much more time, so for big datasets does not seem feasible and anyway I do not see an obvious reason why a dataset should only work with scatter plots but not the usual, simple plots.
>>  
>> Please find attached my code below and I would appreciate any help/explanation, or it is indeed a bug, then if it could be raised to the developers? attention.
>>  
>> My original trial, working only with scatter plots (see for yourself! maybe it?s only my installation what is going wrong?):
>>  
>> import matplotlib.pyplot as plt
>> import numpy as np
>>  
>> # Simple data to display in various forms
>> x = np.linspace(0, 2 * np.pi, 400).reshape(1, 400)
>> print(x.shape)
>> y = np.vstack((np.sin(x ** 2), np.cos(x ** 2)))
>> print(y[:1].shape)
>>  
>> plt.close('all')
>>  
>> # Three subplots sharing both x/y axes
>> f, (ax1, ax2, ax3) = plt.subplots(3, sharex=True, sharey=True)
>> ax1.plot(x, y[:1]) # This is not showing!
>> ax1.set_title('Sharing both axes')
>> ax2.scatter(x, y[:1])
>> ax3.scatter(x, 2 * y[:1] ** 2 - 1, color='r')
>> # Fine-tune figure; make subplots close to each other and hide x ticks for
>> # all but bottom plot.
>> f.subplots_adjust(hspace=0)
>> plt.setp([a.get_xticklabels() for a in f.axes[:-1]], visible=False)
>>  
>> # row and column sharing
>> f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex='col', sharey='row')
>> ax1.plot(x, y[:1]) # This is not showing!
>> ax1.set_title('Sharing x per column, y per row')
>> ax2.scatter(x, y[:1])
>> ax3.scatter(x, 2 * y[:1] ** 2 - 1, color='r')
>> ax4.plot(x, 2 * y[:1] ** 2 - 1, color='r') # This is not showing!
>>  
>> plt.show()
>>  
>>  
>> The working solution:
>>  
>> import matplotlib.pyplot as plt
>> import numpy as np
>>  
>> # Simple data to display in various forms
>> x = np.linspace(0, 2 * np.pi, 400).reshape(400, 1)
>> print(x.shape)
>> y = np.vstack((np.sin(x ** 2), np.cos(x ** 2))).reshape(400, 2)
>> print(y[:, 0].shape)
>>  
>> plt.close('all')
>>  
>> # Three subplots sharing both x/y axes
>> f, (ax1, ax2, ax3) = plt.subplots(3, sharex=True, sharey=True)
>> ax1.plot(x, y[:, 0])
>> ax1.set_title('Sharing both axes')
>> ax2.scatter(x, y[:, 0])
>> ax3.scatter(x, 2 * y[:, 0] ** 2 - 1, color='r')
>> # Fine-tune figure; make subplots close to each other and hide x ticks for
>> # all but bottom plot.
>> f.subplots_adjust(hspace=0)
>> plt.setp([a.get_xticklabels() for a in f.axes[:-1]], visible=False)
>>  
>> # row and column sharing
>> f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex='col', sharey='row')
>> ax1.plot(x, y[:, 0])
>> ax1.set_title('Sharing x per column, y per row')
>> ax2.scatter(x, y[:, 0])
>> ax3.scatter(x, 2 * y[:, 0] ** 2 - 1, color='r')
>> ax4.plot(x, 2 * y[:, 0] ** 2 - 1, color='r')
>>  
>> plt.show()
>>  
>> I did not modify anything else in the code respective to the original demo than what I mentioned. I hope you will be able to help.
>>  
>> Kind regards,
>> P?ter
>> _______________________________________________
>> 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 <mailto:Matplotlib-users at python.org>
> https://mail.python.org/mailman/listinfo/matplotlib-users <https://mail.python.org/mailman/listinfo/matplotlib-users>
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From pmhobson at gmail.com  Fri Aug 19 11:12:50 2016
From: pmhobson at gmail.com (Paul Hobson)
Date: Fri, 19 Aug 2016 08:12:50 -0700
Subject: [Matplotlib-users] [Question] Possible bug in plotting large
 NumPy array
In-Reply-To: <BDBC66FF-7CA0-4D4F-B1CE-88FDD53564C7@gmail.com>
References: <001001d1fa01$da7b73d0$8f725b70$@gmail.com>
 <CAM-Pw01X1_b6oN1cNxJywE9RGQQ8xnhRBxBSEdagS3VnEYcVAw@mail.gmail.com>
 <000001d1fa0d$303f2ae0$90bd80a0$@gmail.com>
 <BDBC66FF-7CA0-4D4F-B1CE-88FDD53564C7@gmail.com>
Message-ID: <CADT3MEApeqihUHupYWPnpKOB3+b3N54UJPN2OE_1JQL_cumUvg@mail.gmail.com>

Dipu,

http://matplotlib.org/ has both a gallery if images (click the image to see
the source code) and a broad, organized list of examples.

I'd start there.

On Fri, Aug 19, 2016 at 7:58 AM, Dipankar ?Dipu? Ganguly <dipugee at gmail.com>
wrote:

> Hi:
>
> I am trying to learn the basics of plotting in matplotlib. My immediate
> need is for displaying grayscale images with titles, axis labels & ticks
> and  within-image annotations. Where can I get good tutorials/demos for
> such things?
>
> Thanks.
>
> Dipu
>
>
> Dipankar ?Dipu? Ganguly
> dipugee at gmail.com
> Cell: 408-203-8814
>
>
>
>
>
>
>
> On Aug 19, 2016, at 4:31 AM, <juhaszp95 at gmail.com> <juhaszp95 at gmail.com>
> wrote:
>
> Hi Jens,
>
> Thanks very much! This indeed works. I thought PyPlot automatically
> detects if the data is along which axes, but fair, expecting it in a
> certain way is more consistent.
>
> Many thanks for your help once again!
>
> Best wishes,
> P?ter
>
> *From:* Jens Nielsen [mailto:jenshnielsen at gmail.com
> <jenshnielsen at gmail.com>]
> *Sent:* Friday, August 19, 2016 12:32 PM
> *To:* juhaszp95 at gmail.com; matplotlib-users at python.org
> *Subject:* Re: [Matplotlib-users] [Question] Possible bug in plotting
> large NumPy array
>
> The problem is the way you are slicing your data
>
> by doing y[:1] you are creating a 1 by 400 array. When you try to plot
> that you will get 400 individual line plots each with only one point. A
> line plot with one point is invisible since there in no other points to
> draw the lines between. You will not notice that with scatter since it
> defaults to drawing a point for each data point. If you add a marker you
> can see whats going on.
> I.e. do
> ax1.plot(x, y[:1], 'o')
> in the first example and you will notice that the points color cycle as a
> new plot is created.
>
> If you really want to slice this way you have to ensure that your data is
> along the first dimension.  I.e. you can do `ax1.plot(x.transpose(),
> y[:1].transpose())` which plots 400 by 1 arrays
>
> Hope that helps
> Jens
>
>
>
> On Fri, 19 Aug 2016 at 11:10 <juhaszp95 at gmail.com> wrote:
>
> Dear Matplotlib users,
>
> I am P?ter Juh?sz and I started experimenting with this demo:
> http://matplotlib.org/examples/pylab_examples/subplots_demo.html.
>
> What I then tried to achieve is to let *y* be a NumPy array of 2 rows,
> the first holding sin(x**2) values, the second holding something else (I
> set cos(x**2)), and the make the same plots as in the original demo only by
> using the first row of *y*. Unfortunately, I was quite surprised to see
> that pyplot/matplotlib only succeeds with this plotting if *scatter plots*
>  or *markers* are used *only*, instead of the usual plotting with lines.
> On the other hand, with some tricks in the NumPy array (some reshapes and
> slicing) I was able to make pyplot/matplotlib work for both scatter plots
> and the usual simple plots. This however possibly takes much more time, so
> for big datasets does not seem feasible and anyway I do not see an obvious
> reason why a dataset should only work with scatter plots but not the usual,
> simple plots.
>
> Please find attached my code below and I would appreciate any
> help/explanation, or it is indeed a bug, then if it could be raised to the
> developers? attention.
>
> My original trial, working only with scatter plots (see for yourself!
> maybe it?s only my installation what is going wrong?):
>
> import matplotlib.pyplot as plt
> import numpy as np
>
> # Simple data to display in various forms
> x = np.linspace(0, 2 * np.pi, 400).reshape(1, 400)
> print(x.shape)
> y = np.vstack((np.sin(x ** 2), np.cos(x ** 2)))
> print(y[:1].shape)
>
> plt.close(*'all'*)
>
> # Three *subplots* sharing both x/y axes
> f, (ax1, ax2, ax3) = plt.subplots(3, sharex=True, sharey=True)
> ax1.plot(x, y[:1]) # This is not showing!
> ax1.set_title(*'Sharing both axes'*)
> ax2.scatter(x, y[:1])
> ax3.scatter(x, 2 * y[:1] ** 2 - 1, color=*'r'*)
> # Fine-tune figure; make *subplots* close to each other and hide x ticks
> for
> # all but bottom plot.
> f.subplots_adjust(hspace=0)
> plt.setp([a.get_xticklabels() for a in f.axes[:-1]], visible=False)
>
> # row and column sharing
> f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex=*'col'*, sharey=
> *'row'*)
> ax1.plot(x, y[:1]) # This is not showing!
> ax1.set_title(*'Sharing x per column, y per row'*)
> ax2.scatter(x, y[:1])
> ax3.scatter(x, 2 * y[:1] ** 2 - 1, color=*'r'*)
> ax4.plot(x, 2 * y[:1] ** 2 - 1, color=*'r'*) # This is not showing!
>
> plt.show()
>
>
> The working solution:
>
> import matplotlib.pyplot as plt
> import numpy as np
>
> # Simple data to display in various forms
> x = np.linspace(0, 2 * np.pi, 400).reshape(400, 1)
> print(x.shape)
> y = np.vstack((np.sin(x ** 2), np.cos(x ** 2))).reshape(400, 2)
> print(y[:, 0].shape)
>
> plt.close(*'all'*)
>
> # Three *subplots* sharing both x/y axes
> f, (ax1, ax2, ax3) = plt.subplots(3, sharex=True, sharey=True)
> ax1.plot(x, y[:, 0])
> ax1.set_title(*'Sharing both axes'*)
> ax2.scatter(x, y[:, 0])
> ax3.scatter(x, 2 * y[:, 0] ** 2 - 1, color=*'r'*)
> # Fine-tune figure; make *subplots* close to each other and hide x ticks
> for
> # all but bottom plot.
> f.subplots_adjust(hspace=0)
> plt.setp([a.get_xticklabels() for a in f.axes[:-1]], visible=False)
>
> # row and column sharing
> f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex=*'col'*, sharey=
> *'row'*)
> ax1.plot(x, y[:, 0])
> ax1.set_title(*'Sharing x per column, y per row'*)
> ax2.scatter(x, y[:, 0])
> ax3.scatter(x, 2 * y[:, 0] ** 2 - 1, color=*'r'*)
> ax4.plot(x, 2 * y[:, 0] ** 2 - 1, color=*'r'*)
>
> plt.show()
>
> I did not modify anything else in the code respective to the original demo
> than what I mentioned. I hope you will be able to help.
>
> Kind regards,
> P?ter
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> 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
>
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
>
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From jfoxrabinovitz at gmail.com  Fri Aug 19 12:58:14 2016
From: jfoxrabinovitz at gmail.com (Joseph Fox-Rabinovitz)
Date: Fri, 19 Aug 2016 12:58:14 -0400
Subject: [Matplotlib-users] detect axes belonging to a colorbar
In-Reply-To: <CANNq6FmAeZ_zJ5iiUVFen6okf8K1SbbwpOi1o8hVC-=E-_DJVg@mail.gmail.com>
References: <8637m34vm1.fsf@example.com>
 <CANNq6FmAeZ_zJ5iiUVFen6okf8K1SbbwpOi1o8hVC-=E-_DJVg@mail.gmail.com>
Message-ID: <CAAa1KPYsSOcDcqy72PMGvjk9wxa50Cb-JcmZHNGefEEsHrMFuA@mail.gmail.com>

On a related note, I was thinking that doing something like
`fig.findobj(mpl.colorbar.ColorbarBase)` would help you, but it raises an
error instead:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File
"/home/jfoxrabi/miniconda3/lib/python3.5/site-packages/matplotlib/artist.py",
line 975, in findobj
    if matchfunc(c):
  File
"/home/jfoxrabi/miniconda3/lib/python3.5/site-packages/matplotlib/colorbar.py",
line 307, in __init__
    self.set_label(label)
  File
"/home/jfoxrabi/miniconda3/lib/python3.5/site-packages/matplotlib/colorbar.py",
line 459, in set_label
    self._set_label()
  File
"/home/jfoxrabi/miniconda3/lib/python3.5/site-packages/matplotlib/colorbar.py",
line 448, in _set_label
    self.ax.set_ylabel(self._label, **self._labelkw)
AttributeError: 'Rectangle' object has no attribute 'set_ylabel'

What is wrong about the way I am trying to use `findobj`?

Here is the code I was testing with, for reference:

import numpy as np
import matplotlib as mpl
from matplotlib import pyplot as plt
x = np.arange(10)
y = np.arange(10)
X, Y = np.meshgrid(x, y)
z = X * Y
ax = plt.pcolor(X, Y, z)
plt.colorbar()
fig = ax.figure
fig.findobj(mpl.colorbar.ColorbarBase)



    -Joe


On Fri, Aug 19, 2016 at 10:26 AM, Benjamin Root <ben.v.root at gmail.com>
wrote:

> No, I don't think there is a way, really. From the perspective of the
> figure object, the colorbar looks just like another axes object. There
> might be a trick that might work in some cases, but they would be highly
> fragile. It would be better to just capture the colorbar object directly,
> somehow.
>
> Ben Root
>
> On Wed, Aug 17, 2016 at 5:01 AM, <aeuii at posteo.de> wrote:
>
>> Hi,
>>
>> I would like to iterate over fig.axes and apply some changes to regular
>> axes and skip those belonging to colorbars.
>>
>> What's the best way (having only fig object) to detect if an axis
>> belongs to a colorbar or not?
>>
>> Thanks for an advice.
>>
>> Best regards,
>> Stefan
>>
>> _______________________________________________
>> Matplotlib-users mailing list
>> Matplotlib-users at python.org
>> 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 ben.v.root at gmail.com  Fri Aug 19 13:04:00 2016
From: ben.v.root at gmail.com (Benjamin Root)
Date: Fri, 19 Aug 2016 13:04:00 -0400
Subject: [Matplotlib-users] detect axes belonging to a colorbar
In-Reply-To: <CAAa1KPYsSOcDcqy72PMGvjk9wxa50Cb-JcmZHNGefEEsHrMFuA@mail.gmail.com>
References: <8637m34vm1.fsf@example.com>
 <CANNq6FmAeZ_zJ5iiUVFen6okf8K1SbbwpOi1o8hVC-=E-_DJVg@mail.gmail.com>
 <CAAa1KPYsSOcDcqy72PMGvjk9wxa50Cb-JcmZHNGefEEsHrMFuA@mail.gmail.com>
Message-ID: <CANNq6FkcYXu0chLd9FOSh1P6Q-hLHUTO9RQYS6bnkJqHKsaNqQ@mail.gmail.com>

mpl.colorbar.ColorbarBase is not a subclass of Artist, so findobj() doesn't
detect that you want to match against that object type.

On Fri, Aug 19, 2016 at 12:58 PM, Joseph Fox-Rabinovitz <
jfoxrabinovitz at gmail.com> wrote:

> On a related note, I was thinking that doing something like
> `fig.findobj(mpl.colorbar.ColorbarBase)` would help you, but it raises an
> error instead:
>
> Traceback (most recent call last):
>   File "<stdin>", line 1, in <module>
>   File "/home/jfoxrabi/miniconda3/lib/python3.5/site-packages/matplotlib/artist.py",
> line 975, in findobj
>     if matchfunc(c):
>   File "/home/jfoxrabi/miniconda3/lib/python3.5/site-packages/matplotlib/colorbar.py",
> line 307, in __init__
>     self.set_label(label)
>   File "/home/jfoxrabi/miniconda3/lib/python3.5/site-packages/matplotlib/colorbar.py",
> line 459, in set_label
>     self._set_label()
>   File "/home/jfoxrabi/miniconda3/lib/python3.5/site-packages/matplotlib/colorbar.py",
> line 448, in _set_label
>     self.ax.set_ylabel(self._label, **self._labelkw)
> AttributeError: 'Rectangle' object has no attribute 'set_ylabel'
>
> What is wrong about the way I am trying to use `findobj`?
>
> Here is the code I was testing with, for reference:
>
> import numpy as np
> import matplotlib as mpl
> from matplotlib import pyplot as plt
> x = np.arange(10)
> y = np.arange(10)
> X, Y = np.meshgrid(x, y)
> z = X * Y
> ax = plt.pcolor(X, Y, z)
> plt.colorbar()
> fig = ax.figure
> fig.findobj(mpl.colorbar.ColorbarBase)
>
>
>
>     -Joe
>
>
> On Fri, Aug 19, 2016 at 10:26 AM, Benjamin Root <ben.v.root at gmail.com>
> wrote:
>
>> No, I don't think there is a way, really. From the perspective of the
>> figure object, the colorbar looks just like another axes object. There
>> might be a trick that might work in some cases, but they would be highly
>> fragile. It would be better to just capture the colorbar object directly,
>> somehow.
>>
>> Ben Root
>>
>> On Wed, Aug 17, 2016 at 5:01 AM, <aeuii at posteo.de> wrote:
>>
>>> Hi,
>>>
>>> I would like to iterate over fig.axes and apply some changes to regular
>>> axes and skip those belonging to colorbars.
>>>
>>> What's the best way (having only fig object) to detect if an axis
>>> belongs to a colorbar or not?
>>>
>>> Thanks for an advice.
>>>
>>> Best regards,
>>> Stefan
>>>
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Matplotlib-users at python.org
>>> 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 tcaswell at gmail.com  Sat Aug 27 14:09:42 2016
From: tcaswell at gmail.com (Thomas Caswell)
Date: Sat, 27 Aug 2016 18:09:42 +0000
Subject: [Matplotlib-users] mpl governance
In-Reply-To: <CAA48SF-sLrWoQoWsmstvdDTL3O+-n4=UAz-_QgkTfK2n66UD+A@mail.gmail.com>
References: <CAA48SF-sLrWoQoWsmstvdDTL3O+-n4=UAz-_QgkTfK2n66UD+A@mail.gmail.com>
Message-ID: <CAA48SF8=a7A2bMRZ9uEaNRontSvuF+h90TiYRh57o5uQkOr-1g@mail.gmail.com>

Folks,

Following up on last month's email, are there any comments, for or against,
adopting the Jupyter governance model and the mechanism of ratifying the
adoption?

Tom

On Sun, Jul 31, 2016 at 6:32 PM Thomas Caswell <tcaswell at gmail.com> wrote:

> Folks,
>
> During the sprints at SciPy Mike Droettboom and I started to adapt the
> Jupyter governance documents for matplotlib.
>
> We are doing this in the open, and a pull request of the changes is at:
>
> https://github.com/matplotlib/governance/pull/1
>
> To be clear, this is a work in progress and is not final or in force.
>
> We propose the mechanism for ratifying the these documents is to, after
> input from the community, have the current "matplotlib Executive Committee"
> (the signers of the FSA with NUMFocus) vote.
>
> Tom
>
> ps A very similar email was sent to the matplotlib-devel list on July 17
>
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From pmhobson at gmail.com  Mon Aug 29 11:39:53 2016
From: pmhobson at gmail.com (Paul Hobson)
Date: Mon, 29 Aug 2016 08:39:53 -0700
Subject: [Matplotlib-users] mpl governance
In-Reply-To: <CAA48SF8=a7A2bMRZ9uEaNRontSvuF+h90TiYRh57o5uQkOr-1g@mail.gmail.com>
References: <CAA48SF-sLrWoQoWsmstvdDTL3O+-n4=UAz-_QgkTfK2n66UD+A@mail.gmail.com>
 <CAA48SF8=a7A2bMRZ9uEaNRontSvuF+h90TiYRh57o5uQkOr-1g@mail.gmail.com>
Message-ID: <CADT3MEDxSO0wPO23Sx-L_jSB6S8vULsd+Nk25Q4UUa1FQtnryw@mail.gmail.com>

I think this is a good idea.

On Sat, Aug 27, 2016 at 11:09 AM, Thomas Caswell <tcaswell at gmail.com> wrote:

> Folks,
>
> Following up on last month's email, are there any comments, for or
> against, adopting the Jupyter governance model and the mechanism of
> ratifying the adoption?
>
> Tom
>
>
> On Sun, Jul 31, 2016 at 6:32 PM Thomas Caswell <tcaswell at gmail.com> wrote:
>
>> Folks,
>>
>> During the sprints at SciPy Mike Droettboom and I started to adapt the
>> Jupyter governance documents for matplotlib.
>>
>> We are doing this in the open, and a pull request of the changes is at:
>>
>> https://github.com/matplotlib/governance/pull/1
>>
>> To be clear, this is a work in progress and is not final or in force.
>>
>> We propose the mechanism for ratifying the these documents is to, after
>> input from the community, have the current "matplotlib Executive Committee"
>> (the signers of the FSA with NUMFocus) vote.
>>
>> Tom
>>
>> ps A very similar email was sent to the matplotlib-devel list on July 17
>>
>
> _______________________________________________
> 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  Mon Aug 29 20:28:40 2016
From: dipugee at gmail.com (=?utf-8?Q?Dipankar_=E2=80=9CDipu=E2=80=9D_Ganguly?=)
Date: Mon, 29 Aug 2016 17:28:40 -0700
Subject: [Matplotlib-users] mpl governance
In-Reply-To: <CADT3MEDxSO0wPO23Sx-L_jSB6S8vULsd+Nk25Q4UUa1FQtnryw@mail.gmail.com>
References: <CAA48SF-sLrWoQoWsmstvdDTL3O+-n4=UAz-_QgkTfK2n66UD+A@mail.gmail.com>
 <CAA48SF8=a7A2bMRZ9uEaNRontSvuF+h90TiYRh57o5uQkOr-1g@mail.gmail.com>
 <CADT3MEDxSO0wPO23Sx-L_jSB6S8vULsd+Nk25Q4UUa1FQtnryw@mail.gmail.com>
Message-ID: <01017D02-DAFA-4F61-B802-F22156758AD9@gmail.com>

Hi:

I have ImageJ installed on the same Mac that I am using to develop IPython Image Processing algorithms under Anaconda Navigator?s Jupyter. Can I load ImageJ as a package in my Image Processing environment and call its functions as I do with matplotlib?

Thanks

Dipu


Dipankar ?Dipu? Ganguly
dipugee at gmail.com
Cell: 408-203-8814Dipankar ?Dipu? Ganguly
dipugee at gmail.com
Cell: 408-203-8814







> On Aug 29, 2016, at 8:39 AM, Paul Hobson <pmhobson at gmail.com> wrote:
> 
> I think this is a good idea.
> 
> On Sat, Aug 27, 2016 at 11:09 AM, Thomas Caswell <tcaswell at gmail.com <mailto:tcaswell at gmail.com>> wrote:
> Folks,
> 
> Following up on last month's email, are there any comments, for or against, adopting the Jupyter governance model and the mechanism of ratifying the adoption?
> 
> Tom
> 
> 
> On Sun, Jul 31, 2016 at 6:32 PM Thomas Caswell <tcaswell at gmail.com <mailto:tcaswell at gmail.com>> wrote:
> Folks,
> 
> During the sprints at SciPy Mike Droettboom and I started to adapt the Jupyter governance documents for matplotlib. 
> 
> We are doing this in the open, and a pull request of the changes is at:
> 
> https://github.com/matplotlib/governance/pull/1 <https://github.com/matplotlib/governance/pull/1>
> 
> To be clear, this is a work in progress and is not final or in force.
> 
> We propose the mechanism for ratifying the these documents is to, after input from the community, have the current "matplotlib Executive Committee" (the signers of the FSA with NUMFocus) vote.
> 
> Tom
> 
> ps A very similar email was sent to the matplotlib-devel list on July 17
> 
> _______________________________________________
> 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 dipugee at gmail.com  Mon Aug 29 20:33:28 2016
From: dipugee at gmail.com (=?utf-8?Q?Dipankar_=E2=80=9CDipu=E2=80=9D_Ganguly?=)
Date: Mon, 29 Aug 2016 17:33:28 -0700
Subject: [Matplotlib-users] Matplotlib Figure margin transparancy
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Hi:

I have ImageJ installed on the same Mac that I am using to develop IPython Image Processing algorithms under Anaconda Navigator?s Jupyter. Can I load ImageJ as a package in my Image Processing environment and call its functions as I do with matplotlib?

Thanks

Dipu


Dipankar ?Dipu? Ganguly
dipugee at gmail.com
Cell: 408-203-8814







> On Aug 13, 2016, at 8:58 PM, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org> wrote:
> 
> Thank you,
> but no mercy from Ipyton.
> With best regards,
> Sudheer
> sjo at SJOLTP../startup~$ ls -lrt
> total 12
> -rw-r--r-- 1 sjo sjo 371 Aug 13 21:20 README
> -rw-rw-r-- 1 sjo sjo 156 Aug 14 07:56 XX00-path_set.py
> -rw-rw-r-- 1 sjo sjo 136 Aug 14 08:10 00-path_set.ipy
> 
>  
> *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com;sudheer.joseph at yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
> 
> 
> From: Scott Lasley <selasley at icloud.com>
> To: Sudheer Joseph <sudheer.joseph at yahoo.com> 
> Cc: "matplotlib-users at python.org" <matplotlib-users at python.org>
> Sent: Sunday, 14 August 2016 9:05 AM
> Subject: Re: [Matplotlib-users] Matplotlib Figure margin transparancy
> 
> Try changing the name of the file 00-path_set.py to 00-path_set.ipy to indicate that it is an ipython file.  That makes a difference on my system.
> 
> hth,
> Scott
> 
> > On Aug 13, 2016, at 23:18, Sudheer Joseph <sudheer.joseph at yahoo.com <mailto:sudheer.joseph at yahoo.com>> wrote:
> > 
> > Thank you,
> >                  I am facing a problem that edges are becoming transparent after fixing the inline issue. with ipython it was possible to  fix this issue by configuring startup files as below. But jupyter seems not taking startup files
> > With best regards.
> > Sudheer
> > 
> > /home/sjo/.ipython/profile_default/startup
> > sjo at SJOLTP.. <mailto:sjo at SJOLTP..>/startup~$ ls
> > 00-path_set.py  README  XX00-path_set.py
> > sjo at SJOLTP.. <mailto:sjo at SJOLTP..>/startup~$ cat 00-path_set.py 
> > import sys
> > import matplotlib as mpl
> > mpl.rcParams['figure.facecolor'] = 'w'
> > mypath="/home/sjo/PKGS/SJO_PY_CODES"
> > sys.path.append(mypath)
> > 
> > <blob.jpg>
> 
> >  
> > *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com <mailto:sjo.India at gmail.com>;sudheer.joseph at yahoo.com <mailto:sudheer.joseph at yahoo.com> Web- http://oppamthadathil.tripod.com  <http://oppamthadathil.tripod.com/>***************************************************************
> > 
> > 
> > From: Scott Lasley <selasley at icloud.com <mailto:selasley at icloud.com>>
> > To: Sudheer Joseph <sudheer.joseph at yahoo.com <mailto:sudheer.joseph at yahoo.com>> 
> > Cc: "matplotlib-users at python.org <mailto:matplotlib-users at python.org>" <matplotlib-users at python.org <mailto:matplotlib-users at python.org>>
> > Sent: Sunday, 14 August 2016 8:36 AM
> > Subject: Re: [Matplotlib-users] Matplotlib Figure margin transparancy
> > 
> > It appears that jupyter does not use the .ipython_config.py file in the .jupyter directory.  It does use the files in the profile_default directory in your ipython folder, usually ~/.ipython on a Mac.  Here's how I was able to get jupyter qtconsole to launch with %pylab inline
> > 
> > Create the default ipython profile files.  I think this will overwrite any old default profile files so make a backup if you want to keep the old files
> > $ ipython3 profile create
> > Find the location of your default profile 
> > $ export myipython=$(ipython3 locate profile)
> > Edit the ipython_config.py file in your default profile directory
> > $ pico "$myipython"/ipython_config.py
> > Uncomment the c.InteractiveShellApp.pylab line and change the value to 'inline'
> > 
> > If want to load certain modules every time you launch qtconsole you can create a file named something like 00_my_startup.ipy in "$myipython"/startup/ containing your imports.  See the "$myipython"/startup/README file for more info
> > 
> > Here's the docs on configuring recent versions of ipython
> > http://ipython.readthedocs.io/en/stable/config/intro.html#the-ipython-directory <http://ipython.readthedocs.io/en/stable/config/intro.html#the-ipython-directory>
> > 
> > Best regards,
> > Scott
> > 
> > > On Aug 13, 2016, at 20:34, Sudheer Joseph <sudheer.joseph at yahoo.com <mailto:sudheer.joseph at yahoo.com>> wrote:
> > > 
> > > Thank you for the reply,
> > > Yes this way it works, But I was looking towards a way to set this option in startup file so that one need not type %pylab inline always after starting the kernal
> > > 
> > > 
> > > with best regards,
> > > Suhdheer
> > > On Sunday, 14 August 2016 4:48 AM, Scott Lasley <selasley at icloud.com <mailto:selasley at icloud.com>> wrote:
> > > 
> > > 
> > > If I launch jupyter with the --pylab flag it exits with this message
> > > $ jupyter qtconsole --pylab
> > > ...
> > > [JupyterQtConsoleApp] CRITICAL | Bad config encountered during initialization:
> > > [JupyterQtConsoleApp] CRITICAL | Unrecognized flag: '--pylab'
> > > 
> > > Can you launch qtconsole then use the jupyter magics to set up pylab and inline plotting?
> > > 
> > > $ jupyter qtconsole
> > > (then in the QtConsole window enter)
> > > In [1]: %pylab
> > > Using matplotlib backend: MacOSX
> > > Populating the interactive namespace from numpy and matplotlib
> > > 
> > > In [2]: %matplotlib inline
> > > 
> > > In [3]: plot([1, 2, 3])
> > > 
> > > plots in the QtConsole window.
> > > 
> > > This is in OS X 10.11 with python 3.5.2, matplotlib 2.0.0b3, ipython 5.1.0 and jupyter 4.1.1.  Note that I had some problems with the qtconsole when using the %pylab magic.  It's possible the problems arose because I'm using the beta version of matplotlib 2.
> > > 
> > > hth,
> > > Scott
> > > 
> > > > On Aug 13, 2016, at 13:54, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org <mailto:matplotlib-users at python.org>> wrote:
> > > > 
> > > > Hi all,
> > > >                After following suggestion to upgrade to jupyter, I have installed jupyter. but not able to start either jupyter or ipython with --pylab inline mode .
> > > > If I start 
> > > > sjo at SJOLTP.. <mailto:sjo at SJOLTP..>/.jupyter~$ ipython qtconsole --pylab inline
> > > > [TerminalIPythonApp] WARNING | Subcommand `ipython qtconsole` is deprecated and will be removed in future versions.
> > > > 
> > > > I wont sart qtconsole.
> > > > If I start jupyter after going to .jupyter directory it starts with pylab inline taking it form profile file ipython_config.py
> > > > If I go to any other directory it wont take the configuration file.
> > > > I have below line in the above ipython_config.py
> > > > c.TerminalIPythonApp.profile = u'/home/sjo/.jupyter/ipython_config.py'
> > > > 
> > > > However none works for me to make pylab inline option.
> > > > Can any one throw some light in to this issue?
> > > > 
> > > > sjo at SJOLTP.. <mailto:sjo at SJOLTP..>/.jupyter~$ ls
> > > > ipython_config.py  jupyter.desktop    jupyter_qtconsole_config.py  pynb  startup
> > > > ipython.desktop    jupyter_nb.desktop  migrated                    qtpy
> > > > sjo at SJOLTP.. <mailto:sjo at SJOLTP..>/.jupyter~$ pwd
> > > > /home/sjo/.jupyter
> > > > sjo at SJOLTP.. <mailto:sjo at SJOLTP..>/.jupyter~$ ls
> > > > ipython_config.py  jupyter.desktop    jupyter_qtconsole_config.py  pynb  startup
> > > > ipython.desktop    jupyter_nb.desktop  migrated                    qtpy
> > > > sjo at SJOLTP.. <mailto:sjo at SJOLTP..>/.jupyter~$ jupyter --version
> > > > 4.1.1
> > > > sjo at SJOLTP.. <mailto:sjo at SJOLTP..>/.jupyter~$ ipython --version
> > > > 5.0.0
> > > > sjo at SJOLTP.. <mailto:sjo at SJOLTP..>/.jupyter~$ 
> > > > 
> > > >  
> > > > *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com <mailto:sjo.India at gmail.com>;sudheer.joseph at yahoo.com <mailto:sudheer.joseph at yahoo.com> Web- http://oppamthadathil.tripod.com  <http://oppamthadathil.tripod.com/>***************************************************************
> > > > 
> > > > 
> > > > On Friday, 12 August 2016 12:02 PM, Sudheer Joseph <sudheer.joseph at yahoo.com <mailto:sudheer.joseph at yahoo.com>> wrote:
> > > > 
> > > > 
> > > > Thank you I got it fixed after following the link of bug report.
> > > > I have added 
> > > > rcParams['figure.facecolor'] = 'w'
> > > > in 00_startup.py file in my ipython startup directory which fixed the issue
> > > >  
> > > > *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.India at gmail.com <mailto:sjo.India at gmail.com>;sudheer.joseph at yahoo.com <mailto:sudheer.joseph at yahoo.com> Web- http://oppamthadathil.tripod.com  <http://oppamthadathil.tripod.com/>***************************************************************
> > > > 
> > > > 
> > > > 
> > > > 
> > > > On Thursday, 11 August 2016 10:26 PM, Sudheer Joseph via Matplotlib-users <matplotlib-users at python.org <mailto:matplotlib-users at python.org>> wrote:
> > > > 
> > > > 
> > > > 
> > > > Thank you,
> > > > I am having oldverdion 1.2 but if i upgrade many system related things are getting affected. So bit worried how to handle this..
> > > > 
> > > > Sudheer 
> > > > Sent from Yahoo Mail for iPhone
> > > > 
> > > > On Thursday, August 11, 2016, 10:17 PM, Jens Nielsen <jenshnielsen at gmail.com <mailto:jenshnielsen at gmail.com>> wrote:
> > > > The relevant parameters are 
> > > > 
> > > > figure.facecolor
> > > > and
> > > > savefigure.facecolor
> > > > 
> > > > but as I indicated before I think your issue is due to an out of date version of Jupyter/IPython and is fixed in the latest version. Please can you check which versions you are running
> > > > I think the issue that you are seeing is https://github.com/ipython/ipython/issues/7964  <https://github.com/ipython/ipython/issues/7964>which was fixed in IPython 3.2
> > > > 
> > > > 
> > > > best
> > > > Jens
> > > > 
> > > > 
> > > > On Thu, 11 Aug 2016 at 17:33 Sudheer Joseph <sudheer.joseph at yahoo.com <mailto:sudheer.joseph at yahoo.com>> wrote:
> > > > Thank you Benjamin & Jens,
> > > >                                                  I have registered in python.org now. Regarding the issue I had already checked the matplotlibrc parameters. I tried increasing margin option but resulting in only plot getting shrunk. There is no apparent effect for facecolor parameter. May I know which parameter sets the margin as non-transparent?
> > > > With best regards,
> > > > Sudheer
> > > > 
> > > > 
> > > > 
> > > > 
> > > > On Wednesday, 10 August 2016 8:19 PM, Benjamin Root <ben.v.root at gmail.com <mailto:ben.v.root at gmail.com>> wrote:
> > > > The other reason why this message never got posted is because this message was sent to the now defunct mailing list hosted by sourceforge. The mailing list moved about a year ago (I think) to python.org. You will have to subscribe in order to post unmoderated.
> > > > 
> > > > https://mail.python.org/mailman/listinfo/matplotlib-users <https://mail.python.org/mailman/listinfo/matplotlib-users>
> > > > 
> > > > Ben Root
> > > > On Wed, Aug 10, 2016 at 4:25 AM, Jens Nielsen <jenshnielsen at gmail.com <mailto:jenshnielsen at gmail.com>> wrote:
> > > > At least for me gmail put your mail in the spam folder.
> > > > 
> > > > Anyway the inline backend is actually from in IPython/Jupyter and not in matplotlib. I think they have changed the default a couple of times and had the transparent as a default earlier but changed it. Looking at the current master it looks like they are respecting the matplotlib default colors from the matplotlib rc params. Can you please check which version on IPython and Jupyter you are running.  
> > > > 
> > > > You can change the matplotlib rc parameters as described in the docs http://matplotlib.org/  <http://matplotlib.org/>users/customizing.html# customizing-matplotlib but the default ones should be white.
> > > > 
> > > > best
> > > > Jens
> > > > 
> > > > On Wed, 10 Aug 2016 at 05:06 Sudheer Joseph <sudheer.joseph at yahoo.com <mailto:sudheer.joseph at yahoo.com>> wrote:
> > > > Hi,
> > > > I have send below query to matplotlib user group recently but did not get posted so far. Can you please tell me is there is any thin wrong with the message?
> > > > With best regards,
> > > > Sudheer
> > > > 
> > > > >
> > > > > Dear Expert,
> > > > >                Recently after up-gradation of matplotlib and ubuntu 16.04 I am
> > > > > getting transparent figure axis when using the "linux color scheme"
> > > > > option in ipython qtconsole. May I know if there is a way to fix this issue?. I
> > > > > wanted to keep black screen as it reduces eye strain.
> > > > >
> > > > > ipython qtconsole --matplotlib inline
> > > > >
> > > > > If I save the image i am able to get axis properly but to see on screen as the
> > > > > axis is not plotted with white background the black axis line and labels are not
> > > > > visible. Earlier I used to get figures as attached in second figure.
> > > > > Earlier Satus which I am looking for below link
> > > > > https://drive.google.com/open?  <https://drive.google.com/open?>id= 0B3heUQNme7G5ZmVlUHpRakZxUlk
> > > > > Present status without boarder below link
> > > > >
> > > > >
> > > > > https://drive.google.com/open?  <https://drive.google.com/open?>id= 0B3heUQNme7G5VkhZWHhiUnpfWDg
> > > > >
> > > > > Kindly suggest a solution
> > > > > with best regards,
> > > > > Sudheer
> > > > >
> > > > 
> > > > ------------------------------ ------------------------------ ------------------
> > > > What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
> > > > patterns at an interface-level. Reveals which users, apps, and protocols are
> > > > consuming the most bandwidth. Provides multi-vendor support for NetFlow,
> > > > J-Flow, sFlow and other flows. Make informed decisions using capacity
> > > > planning reports. http://sdm.link/zohodev2dev <http://sdm.link/zohodev2dev>
> > > > ______________________________ _________________
> > > > Matplotlib-users mailing list
> > > > 
> > > > Matplotlib-users at lists. <mailto:Matplotlib-users at lists.> sourceforge.net
> > > > https://lists.sourceforge.net/  <https://lists.sourceforge.net/>lists/listinfo/matplotlib- users
> > > > 
> > > > 
> > > > ------------------------------ ------------------------------ ------------------
> > > > What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic
> > > > patterns at an interface-level. Reveals which users, apps, and protocols are
> > > > consuming the most bandwidth. Provides multi-vendor support for NetFlow,
> > > > J-Flow, sFlow and other flows. Make informed decisions using capacity
> > > > planning reports. http://sdm.link/zohodev2dev <http://sdm.link/zohodev2dev>
> > > > ______________________________ _________________
> > > > Matplotlib-users mailing list
> > > > Matplotlib-users at lists. <mailto:Matplotlib-users at lists.> sourceforge.net
> > > > https://lists.sourceforge.net/  <https://lists.sourceforge.net/>lists/listinfo/matplotlib- users
> > > > 
> > > > 
> > > > _______________________________________________
> > > > 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 <mailto:Matplotlib-users at python.org>
> > > > https://mail.python.org/mailman/listinfo/matplotlib-users <https://mail.python.org/mailman/listinfo/matplotlib-users>
> > > 
> > > 
> > 
> > 
> > <blob.jpg>
> 
> 
> 
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users

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From jason at jasongrout.org  Mon Aug 29 21:00:26 2016
From: jason at jasongrout.org (Jason Grout)
Date: Tue, 30 Aug 2016 01:00:26 +0000
Subject: [Matplotlib-users] [Matplotlib-devel]  mpl governance
In-Reply-To: <CADT3MEDxSO0wPO23Sx-L_jSB6S8vULsd+Nk25Q4UUa1FQtnryw@mail.gmail.com>
References: <CAA48SF-sLrWoQoWsmstvdDTL3O+-n4=UAz-_QgkTfK2n66UD+A@mail.gmail.com>
 <CAA48SF8=a7A2bMRZ9uEaNRontSvuF+h90TiYRh57o5uQkOr-1g@mail.gmail.com>
 <CADT3MEDxSO0wPO23Sx-L_jSB6S8vULsd+Nk25Q4UUa1FQtnryw@mail.gmail.com>
Message-ID: <CAPDWZHx2Bnt-Tf_i-gVqQN2-b-fQymJ1TbUzyHeqZSQVFCp7jQ@mail.gmail.com>

We're about to have some discussions in Jupyter about our governance model,
and probably tweak it now that we have more experience with it. While that
experience may not transfer to matplotlib's situation, it still might be
good to see that discussion before making huge changes.

Thanks,

Jason


On Mon, Aug 29, 2016 at 11:40 AM Paul Hobson <pmhobson at gmail.com> wrote:

> I think this is a good idea.
>
> On Sat, Aug 27, 2016 at 11:09 AM, Thomas Caswell <tcaswell at gmail.com>
> wrote:
>
>> Folks,
>>
>> Following up on last month's email, are there any comments, for or
>> against, adopting the Jupyter governance model and the mechanism of
>> ratifying the adoption?
>>
>> Tom
>>
>>
>> On Sun, Jul 31, 2016 at 6:32 PM Thomas Caswell <tcaswell at gmail.com>
>> wrote:
>>
>>> Folks,
>>>
>>> During the sprints at SciPy Mike Droettboom and I started to adapt the
>>> Jupyter governance documents for matplotlib.
>>>
>>> We are doing this in the open, and a pull request of the changes is at:
>>>
>>> https://github.com/matplotlib/governance/pull/1
>>>
>>> To be clear, this is a work in progress and is not final or in force.
>>>
>>> We propose the mechanism for ratifying the these documents is to, after
>>> input from the community, have the current "matplotlib Executive Committee"
>>> (the signers of the FSA with NUMFocus) vote.
>>>
>>> Tom
>>>
>>> ps A very similar email was sent to the matplotlib-devel list on July 17
>>>
>>
>> _______________________________________________
>> Matplotlib-users mailing list
>> Matplotlib-users at python.org
>> https://mail.python.org/mailman/listinfo/matplotlib-users
>>
>>
> _______________________________________________
> Matplotlib-devel mailing list
> Matplotlib-devel at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-devel
>
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From dottore.al.cubo.meno1 at gmail.com  Wed Aug 31 09:06:05 2016
From: dottore.al.cubo.meno1 at gmail.com (Luca Grigoletto)
Date: Wed, 31 Aug 2016 15:06:05 +0200
Subject: [Matplotlib-users] Fwd: Problem plotting Hatches
In-Reply-To: <CABaGQOd7qGMY8jShQqwkTC4Af=zOHK8KJsZdBDymTs2Rb4XXEA@mail.gmail.com>
References: <CABaGQOd7qGMY8jShQqwkTC4Af=zOHK8KJsZdBDymTs2Rb4XXEA@mail.gmail.com>
Message-ID: <CABaGQOc8OwWnePGR3EDxVJSfggHvvremq7tG5k8WhrgZZr-rRA@mail.gmail.com>

Hello,

I am plotting grib data on maps with matplotlib. I want to plot some types
of hatches using a discrete values variable where the values are chosen
arbitrarily. For example the 'o' hatch refers to value '6', '\' hatch to
'4' and '+' to '2'. Values in matrix are only 2,4,6 and a background value
(example 0). I obtain what I want easly with contourf, but as you can see
in the attached image there are unwanted and ugly border plotted around
some hatches (those with the higher values, contoured by hatch of previous
lower value, except the first one wich is the '+' hatch). I tried every
combination of functions possible or modfication of values in the data
matrix to avoid those contours, but I did not find any solution. The fact
is that it seems to be dependent on the type of grib/matrix I use, since
with another set of grib of another model this problem does not show. So
any of you have encountered this problem and resolved it in a easy and
computationally low cost way?

By the way, the same problem is present in classic contourf with shaded
colors: with a discrete matrix,  except the first one, each color in the
colorbar is contoured with a contour of the previous color in the chosen
colormap order. But I could overcome this problem using pcolormesh function
even if it is not the best solution. Unfortunately pcolormesh does not plot
hatches so the first problem described before actually is unresolved.I am
using python 3.5.1 with matplotlib 1.5.1

Waiting for any feedabck

Best regards

Cristian  Rendina
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From jason at jasongrout.org  Wed Aug 31 12:20:49 2016
From: jason at jasongrout.org (Jason Grout)
Date: Wed, 31 Aug 2016 16:20:49 +0000
Subject: [Matplotlib-users] [Matplotlib-devel]  mpl governance
In-Reply-To: <CANJQusXrnsK-C9EuQ7fDb_sN2zd0RXsgCmh=RyDXyDd-Hm-qKQ@mail.gmail.com>
References: <CAA48SF-sLrWoQoWsmstvdDTL3O+-n4=UAz-_QgkTfK2n66UD+A@mail.gmail.com>
 <CAA48SF8=a7A2bMRZ9uEaNRontSvuF+h90TiYRh57o5uQkOr-1g@mail.gmail.com>
 <CADT3MEDxSO0wPO23Sx-L_jSB6S8vULsd+Nk25Q4UUa1FQtnryw@mail.gmail.com>
 <CAPDWZHx2Bnt-Tf_i-gVqQN2-b-fQymJ1TbUzyHeqZSQVFCp7jQ@mail.gmail.com>
 <CANJQusXrnsK-C9EuQ7fDb_sN2zd0RXsgCmh=RyDXyDd-Hm-qKQ@mail.gmail.com>
Message-ID: <CAPDWZHxQ07GT1M_E3B5Yk6vWzNxqSTvjmAMR_m3xEhUMs=AD5Q@mail.gmail.com>

FYI, here is the (beginning of the) public discussion of the Jupyter
governance model we were talking about:
https://github.com/jupyter/governance/issues/19

Jason

On Mon, Aug 29, 2016 at 9:23 PM Matthias Bussonnier <
bussonniermatthias at gmail.com> wrote:

> Hi all,
>
> To extend on what Jason said, the discussion have started privately on
> the Jupyter Steering council mailing list, we'll move it to a public
> space but we want to shorten what have been posted and make sure it's
> suitable for public consumption.
>
> --
> M
>
> On Mon, Aug 29, 2016 at 6:00 PM, Jason Grout <jason at jasongrout.org> wrote:
> > We're about to have some discussions in Jupyter about our governance
> model,
> > and probably tweak it now that we have more experience with it. While
> that
> > experience may not transfer to matplotlib's situation, it still might be
> > good to see that discussion before making huge changes.
> >
> > Thanks,
> >
> > Jason
> >
> >
> > On Mon, Aug 29, 2016 at 11:40 AM Paul Hobson <pmhobson at gmail.com> wrote:
> >>
> >> I think this is a good idea.
> >>
> >> On Sat, Aug 27, 2016 at 11:09 AM, Thomas Caswell <tcaswell at gmail.com>
> >> wrote:
> >>>
> >>> Folks,
> >>>
> >>> Following up on last month's email, are there any comments, for or
> >>> against, adopting the Jupyter governance model and the mechanism of
> >>> ratifying the adoption?
> >>>
> >>> Tom
> >>>
> >>>
> >>> On Sun, Jul 31, 2016 at 6:32 PM Thomas Caswell <tcaswell at gmail.com>
> >>> wrote:
> >>>>
> >>>> Folks,
> >>>>
> >>>> During the sprints at SciPy Mike Droettboom and I started to adapt the
> >>>> Jupyter governance documents for matplotlib.
> >>>>
> >>>> We are doing this in the open, and a pull request of the changes is
> at:
> >>>>
> >>>> https://github.com/matplotlib/governance/pull/1
> >>>>
> >>>> To be clear, this is a work in progress and is not final or in force.
> >>>>
> >>>> We propose the mechanism for ratifying the these documents is to,
> after
> >>>> input from the community, have the current "matplotlib Executive
> Committee"
> >>>> (the signers of the FSA with NUMFocus) vote.
> >>>>
> >>>> Tom
> >>>>
> >>>> ps A very similar email was sent to the matplotlib-devel list on July
> 17
> >>>
> >>>
> >>> _______________________________________________
> >>> Matplotlib-users mailing list
> >>> Matplotlib-users at python.org
> >>> https://mail.python.org/mailman/listinfo/matplotlib-users
> >>>
> >>
> >> _______________________________________________
> >> Matplotlib-devel mailing list
> >> Matplotlib-devel at python.org
> >> https://mail.python.org/mailman/listinfo/matplotlib-devel
> >
> >
> > _______________________________________________
> > Matplotlib-devel mailing list
> > Matplotlib-devel at python.org
> > https://mail.python.org/mailman/listinfo/matplotlib-devel
> >
>
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From fchabouis at gmail.com  Wed Aug 31 13:08:11 2016
From: fchabouis at gmail.com (Francis Chabouis)
Date: Wed, 31 Aug 2016 17:08:11 +0000
Subject: [Matplotlib-users] How can I speed up a tricontourf call ?
Message-ID: <CAKw8q+YfpZFr8u8L9tB3rz-WDy5_6LofxYqVm8HQZ0G3YTT08A@mail.gmail.com>

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
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