Mailman 3 April 2016 - Matplotlib-devel

Manylinux external library test case - matplotlib, tk
by Matthew Brett May 24, 2016

May 24, 2016

Hi, I am building matplotlib manylinux wheels: https://github.com/matthew-brett/manylinux-builds/blob/master/build_matplot… The problem is, what to do about the default matplotlib tk optional dependency? Normally, matplotlib builds against the installed system tk libs : https://github.com/matplotlib/matplotlib/blob/master/setupext.py#L1522 When building a manylinux wheel, we can only build against the tk libs / headers on the manylinux docker image, by doing `yum install -y tk-devel` before building. This means that the tk that matplotlib is built against, is different from the one that Python uses with `import Tkinter`. I suppose that is what causes the following, when building matplotlib with tk-devel installed: >>> import matplotlib >>> matplotlib.get_backend() u'TkAgg' >>> import matplotlib.pyplot as plt >>> plt.plot(range(10)) [<matplotlib.lines.Line2D object at 0x7f2a8e4b4390>] >>> plt.show() Segmentation fault I don't immediately see a good way to deal with this. Any thoughts? Cheers, Matthew

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Offer of additions to subplots
by Christopher Field May 23, 2016

May 23, 2016

I love pyplot.subplots and use it to create almost all of my graphs. I have implemented code for two subplots enhancements. Because I have never contributed to an open source project, I wanted to clear the additions before I put in the effort to learn how to make a contribution and implement all of the supporting documentation and samples. I found that was often writing Fig, ax = plt.subplots( N, M, squeeze=False ) ax = ax.flatten() or ax=ax.ravel() My addition provides a squeeze=‘flatten’ option, which always returns a 1D numpy array. This is useful under three situations. First, there is a 2D arrangement of plots that are to be populated by indexing in a single loop. Second, there is a 1D arrangement of plots of variable number which, if squeeze=True, might return a single axis or a numpy array. Third, there is a 2D arrangement of plots that you wish to access with a single subscript. Does providing squeeze with bool or string values violate any rules? What is the clearest string to use? I have considered ‘flatten’, ‘flat’, ‘ravel’, and ‘1d’. The second enhancement permits sharing axis between different figures. It extends the sharex and sharey arguments to accept either an axis instance (in which case all of the new plots share the same x or y limits), or 1D or 2D numpy arrays of axis instances (in which case rows/columns are shared or each plot shares with the corresponding plot passed in. Should I invest the effort required to submit these? Is there a time frame in which these additions would be more or less welcome? Thank you, Christopher Field

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Issue with suptitle
by Isaac Gerg May 6, 2016

May 6, 2016

Hi, I am currently writing a test suite by which you input your matplotlibrc file and it generates you a set of commonly used plots so you can examine the aesthetics of your config. I am having 2 issues, 1. How do I make SupTitle centered in matplotlibrc? 2. How do I make the points larger on the scatter plot? See attached pictures.[image: Inline image 2][image: Inline image 1] I'm happy to share the code if someone wants it. Isaac

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New to the list, MEPS, and plot serialization questions
by jayryuusei＠gmail.com May 3, 2016

May 3, 2016

Hi all, I am a grad student in plasma physics and a long-time Python programmer. I have used matplotlib off-and-on for years - I'd like to get involved. I have certain features I am most interested in working on, so I thought I'd reach out and let you all know I wanted to get started. The first thing I am interested in working on is plot serialization. I read MEP 25 <http://matplotlib.org/devel/MEP/MEP25.html> and I am curious the current status of it - specifically, are other people already working on this, discussing it, and thinking about it or was it a feature request and not much has been figured out? Are other developers open to adding this kind of functionality? Are there strong opinions about how it should (or shouldn't) be done? I searched the mailing-list archive and I see this is a topic that has come up a few times, but I am lost as to its current status and general acceptance in the community. How do MEPs move from being Discussed to approved, for example? Thanks for the info, and most of all thank you for matplotlib!!! -Jay

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Advice on building wheels for Linux
by Matthew Brett April 23, 2016

April 23, 2016

Hi, I have been working on building manylinux [1] wheels for matplotlib. My first-pass at a recipe for a matplotlib wheel is here: https://github.com/matthew-brett/manylinux-builds/blob/master/build_matplot… The main work is deciding which external libraries to build - here's that part of the recipe: https://github.com/matthew-brett/manylinux-builds/blob/master/build_mpl_lib… In short, I'm building libz, libbz2, libjpeg, libpng and freetype. Is that the right list? Should I add more? I have built wheels for testing at https://nipy.bic.berkeley.edu/manylinux: # upgrade pip to latest for manylinux support python -m pip install --upgrade pip pip install -f https://nipy.bic.berkeley.edu/manylinux matplotlib I would be very grateful for any feedback, Thanks a lot, Matthew [1] https://www.python.org/dev/peps/pep-0513/

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[rfc] a better interchange format for colormaps
by Nathaniel Smith April 22, 2016

April 22, 2016

Hi matplotters, We've been working on improving our tool for building custom viridis-like colormaps (e.g. adding support for diverging colormaps), and one of the things that we got frustrated by is how there's no compelling way to save and distribute the resulting colormaps so that people can actually use them. So, I wrote up a little spec to standardize a way of storing and distributing colormaps in JSON, with the hope that we can convince everyone to implement this and stop writing silly little conversion scripts all the time. The v0.1 draft is here: https://github.com/njsmith/json-cm/blob/master/json-cm-spec.md Any comments? There are always a lot of fiddly details to get right in this kind of thing -- I made a bunch of guesses about what kind of stuff is important and how to represent it, but it can only benefit from review from different perspectives. I would equally love to get nitpicky critiques and high-level queries. Thanks! -n -- Nathaniel J. Smith -- https://vorpus.org

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disabled squashing commits
by Thomas Caswell April 1, 2016

April 1, 2016

Hey all, In what I hope is an April Fools day joke github has add a 'merge by squashing' option to the merge button (and turned it on by default) [1]. I have taken the liberty of disabling it for the main matplotlib repository (and will likely do the rest) in the case that it is not. Tom [1] https://github.com/blog/2141-squash-your-commits

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