matplotlib-users Mailing List for matplotlib

On 10/18/2013 03:18 PM, Nelle Varoquaux wrote:
> Hello,
> Congratulations for this new minor release !
> Someone mentionned on python-list that it's not available on pypi. I 
> checked, and indeed it isn't.
> Should we upload it there?
> Thanks,
> N
Sorry about that. I just addressed that this morning.
Mike
>
>
> On 10 October 2013 20:19, Michael Droettboom <md...@st... 
> <mailto:md...@st...>> wrote:
>
> I'm pleased to announce the release of matplotlib version 1.3.1. This is a bugfix release.
>
> It may be downloaded from here, or installed through the package manager of your choice (when available):
>
> http://matplotlib.org/downloads
>
> The changelog is copied below:
>
> New in 1.3.1
> ------------
>
> 1.3.1 is a bugfix release, primarily dealing with improved setup and
> handling of dependencies, and correcting and enhancing the
> documentation.
>
> The following changes were made in 1.3.1 since 1.3.0.
>
> Enhancements
> ````````````
>
> - Added a context manager for creating multi-page pdfs (see
> `matplotlib.backends.backend_pdf.PdfPages`).
>
> - The WebAgg backend should no have lower latency over heterogeneous
> Internet connections.
>
> Bug fixes
> `````````
>
> - Histogram plots now contain the endline.
>
> - Fixes to the Molleweide projection.
>
> - Handling recent fonts from Microsoft and Macintosh-style fonts with
> non-ascii metadata is improved.
>
> - Hatching of fill between plots now works correctly in the PDF
> backend.
>
> - Tight bounding box support now works in the PGF backend.
>
> - Transparent figures now display correctly in the Qt4Agg backend.
>
> - Drawing lines from one subplot to another now works.
>
> - Unit handling on masked arrays has been improved.
>
> Setup and dependencies
> ``````````````````````
>
> - Now works with any version of pyparsing 1.5.6 or later, without displaying
> hundreds of warnings.
>
> - Now works with 64-bit versions of Ghostscript on MS-Windows.
>
> - When installing from source into an environment without Numpy, Numpy
> will first be downloaded and built and then used to build
> matplotlib.
>
> - Externally installed backends are now always imported using a
> fully-qualified path to the module.
>
> - Works with newer version of wxPython.
>
> - Can now build with a PyCXX installed globally on the system from source.
>
> - Better detection of Gtk3 dependencies.
>
> Testing
> ```````
>
> - Tests should now work in non-English locales.
>
> - PEP8 conformance tests now report on locations of issues.
>
> Mike
>
> -- 
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>
>
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On 10/18/2013 12:58 PM, Paulo Meira wrote:
> Hi, all,
> It didn't work for me with mpl 1.3 but it does with 1.3.1 (openSuse 
> 12.3, python 2.7.3, 64-bit).
>
> To install 1.3.1, I had to use the archive from SourceForge directly 
> since only 1.3.0 is listed on pypi (I used pip) -- could that be the 
> source of this issue for you?
That's my bad. I've updated the PyPI entry.
Mike
>
> Regards,
> Paulo Meira
> ---
> On Fri, Oct 18, 2013 at 11:51 AM, Neal Becker <ndb...@gm... 
> <mailto:ndb...@gm...>> wrote:
>
> I am using mpl 1.3, python 2.7.3, 64-bit linux (fedora 19)
>
> Andrew Dawson wrote:
>
> > For what it is worth I see behaviour identical to Neal. I'm using a
> > development version of matplotlib (v1.4.x, sorry I don't know
> the hash of
> > the installed version) on 64-bit Linux (Ubuntu 12.04) and Python
> 2.7.3.
> > That probably doesn't help much, except to show that this is not
> specific
> > to just Neal!
> >
> > Andrew
> >
> >
> > On 18 October 2013 14:40, Michael Droettboom
> > <md...@st... <mailto:md...@st...>> wrote:
> >
> >> This is really puzzling. What version of matplotlib are you
> running,
> >> what platform, and what version of Python? Your example works
> just fine
> >> for me.
> >>
> >> Mike
> >>
> >> On 10/18/2013 08:40 AM, Neal Becker wrote:
> >> > Neal Becker wrote:
> >> >
> >> >> This example shows the error on my platform - the xlabel is not
> >> rendered with
> >> >> tex but instead the '$' are printed:
> >> >>
> >> >> import numpy as np
> >> >> import matplotlib.pyplot as plt
> >> >> plt.xkcd()
> >> >>
> >> >> fig = fig = plt.figure()
> >> >> ax = fig.add_subplot(111)
> >> >> plt.plot (np.arange (10), 2*np.arange(10))
> >> >> ax.set_xlabel ('$E_{s}/N_{0}$')
> >> >> plt.show()
> >> >>
> >> >>
> >> > And without plt.xkcd() the tex is rendered correctly
> >> >
> >> >
> >> >
> >>
> ------------------------------------------------------------------------------
> >> > October Webinars: Code for Performance
> >> > Free Intel webinars can help you accelerate application
> performance.
> >> > Explore tips for MPI, OpenMP, advanced profiling, and more.
> Get the most
> >> from
> >> > the latest Intel processors and coprocessors. See abstracts
> and register
> >> >
> >> >
> >>
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> >> > _______________________________________________
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> >> > Mat...@li...
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> >> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >>
> >>
> >> --
> >> _
> >> |\/|o _|_ _. _ | | \.__ __|__|_|_ _ _ ._ _
> >> | ||(_| |(_|(/_| |_/|(_)(/_|_ |_|_)(_)(_)| | |
> >>
> >> http://www.droettboom.com
> >>
> >>
> >>
> >>
> ------------------------------------------------------------------------------
> >> October Webinars: Code for Performance
> >> Free Intel webinars can help you accelerate application
> performance.
> >> Explore tips for MPI, OpenMP, advanced profiling, and more. Get
> the most
> >> from
> >> the latest Intel processors and coprocessors. See abstracts and
> register >
> >>
> http://pubads.g.doubleclick.net/gampad/clk?id=60135031&iu=/4140/ostg.clktrk
> >> _______________________________________________
> >> Matplotlib-users mailing list
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> <mailto:Mat...@li...>
> >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >>
> >
> >
> >
>
>
>
> ------------------------------------------------------------------------------
> October Webinars: Code for Performance
> Free Intel webinars can help you accelerate application performance.
> Explore tips for MPI, OpenMP, advanced profiling, and more. Get
> the most from
> the latest Intel processors and coprocessors. See abstracts and
> register >
> http://pubads.g.doubleclick.net/gampad/clk?id=60135031&iu=/4140/ostg.clktrk
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> <mailto:Mat...@li...>
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
>
>
> ------------------------------------------------------------------------------
> October Webinars: Code for Performance
> Free Intel webinars can help you accelerate application performance.
> Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from
> the latest Intel processors and coprocessors. See abstracts and register >
> http://pubads.g.doubleclick.net/gampad/clk?id=60135031&iu=/4140/ostg.clktrk
>
>
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I just realized that I replied to this off-list. Sending back out to the
entire list. (Sorry for the duplicate e-mail Christoph!)
On Oct 18, 2013 6:11 AM, "Christoph Groth" <chr...@gr...> wrote:
> Joe, thank you very much for your reply. So the "figsize" of a
> matplotlib plot is the physical size of the region between the axes
> where the data is shown?
No, your first assumption was correct. "figsize" refers to the size of the
whole figure.
What I meant to do in that example was abuse the fact that matplotlib will
happily add things beyond the figure boundaries. You can then abuse the
"bbox_inches" kwarg to savefig to show everything, while keeping the size
of the "data area" between the axes boundaries the same as the figsize.
My example there is actually completely wrong. I meant to do this:
import numpy as np
import matplotlib.pyplot as plt
dpi = 80
data = np.random.random((100, 100))
height, width = np.array(data.shape, dtype=float) / dpi
fig = plt.figure(figsize=(width, height), dpi=dpi)
ax = fig.add_axes([0, 0, 1, 1])
ax.imshow(data, interpolation='none')
fig.savefig('test.png', bbox_inches='tight')
At any rate, I'm not quite sure if that's actually what you wanted, but
it's a useful trick in cases like this.