Mailman 3 August 2017 - Matplotlib-devel

Phone call 2017-08-30
by Thomas Caswell Aug. 31, 2017

Aug. 31, 2017

Are people around for a phone call around 2100 EST tomorrow to try and wrap up 2.1rc1 prep? Tom

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deprecate hold
by Thomas Caswell Aug. 30, 2017

Aug. 30, 2017

Folks, We deprecated 'hold' in 2.0, but did not set a version for removal. I think it in now too close to squeeze it in for 2.1 so I propose we target 2.2 to fully remove it. Tom

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Do we already parse units for sizes (i.e. padding)
by Jody Klymak Aug. 29, 2017

Aug. 29, 2017

Hi all, I’m trying to work out how to do the padding on my constrained_layout geometry manager (which is testable by the way if anyone wants to try to break it for me: https://github.com/matplotlib/matplotlib/pull/9082). Since I do the constraints in figure-normalized co-ordinates, my pad variable is figure-normalized, which maybe makes sense for some plots, but I can easily imagine it will set some people’s OCD off if the padding is thicker in the horizotnal than the vertical because the figure is wider than it is tall. So I could do inches/cm, or pixels, or points. But I guess it’d be nice to do all four. Do we already have a units parser? I couldn’t find one. I think it’d be pretty simple: just strip the last two characters off for unit type and pass the rest as a float. 1.0px (=1.0 px; i.e. strip spaces) 1.0cm 1.0mm 1.0in 1.0pt I don’t think em and en would make sense in this context because we wouldn’t know the font size, though maybe there is a sensible figure default we could use? Then calls like pad=0.01 and pad=‘5mm’ would both be acceptable. a) does this exist already? b) if not, should it? Thanks, Jody

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final 2.1rc1 merges
by Thomas Caswell Aug. 26, 2017

Aug. 26, 2017

Folks, If there is anything not currently tagged 'release critical' that you think needs go in for 2.1 please flag it now! If you are not sure, err on the side of marking it, we can always un-mark it. Tom

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NetworkX 2.0b1 released
by Jarrod Millman Aug. 18, 2017

Aug. 18, 2017

Hi All, I am happy to announce the **beta** release of NetworkX 2.0! NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. This release supports Python 2.7 and 3.4-3.6 and contains many new features. This release is the result of over two years of work with over 600 pull requests by 85 contributors. We have made **major changes** to the methods in the Multi/Di/Graph classes and before the 2.0 release we need feedback on those changes. If you have code that imports networkx, please take some time to check that you are able to update your code to work with the new release. Please see the draft of the 2.0 release announcement: http://networkx.readthedocs.io/en/latest/news.html#networkx-2-0 In particular, we would like feedback on the migration guide from 1.X to 2.0: http://networkx.readthedocs.io/en/latest/release/migration_guide_from_1.x_t… Since it is a beta release, pip won't automatically install it. So $ pip install networkx still installs networkx-1.11 still. But $ pip install --pre networkx will install networkx-2.0b1. If you already have networkx installed then you need to do $ pip install --pre --upgrade networkx For more information, please visit our `website <http://networkx.github.io/>`_ and our `gallery of examples <http://networkx.readthedocs.io/en/latest/auto_examples/index.html>`_. Please send comments and questions to the `networkx-discuss mailing list <http://groups.google.com/group/networkx-discuss>`_ or create an issue `here <https://github.com/networkx/networkx/issues>`_. Best regards, Jarrod

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Phone call notes 2017-08-14
by Thomas Caswell Aug. 14, 2017

Aug. 14, 2017

Folks, My self, Eric Firing, Paul Hobson, Ryan May * notebook stuff - #9027 reverts back to our old js hacking method - we can not keep up with the ipywidget release cadence, move that to ipympl - Tom will work with Steven Silvester and Sylvain Corlay at JupyterCon to iterate on ipympl. * axesstack - drop tcaswell PR to fix merge of 7377 - revert merge of 7377 - deprecate the 'return an axes if one exsits' functionality * dpi ratio #9002 - punt on proper fix involving transforms * window in front - GUIs are hard and all different - need to control focus and raising separately - each backend is a special * sundry triage and merging (mostly moving things to 2.2) * need to think about what policy to have for style sheets (and color maps) Tom

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Phone call notes 2017-08-07
by Thomas Caswell Aug. 14, 2017

Aug. 14, 2017

Folks, Sorry these are so late getting out. Myself, Eric Firing, and Ryan May where on the call. - talked about image interpolation PR, I have a todo list in a comment on that one still - talked about unbreaking %matplotlib notebook - source of breaking is that it got upgraded to use ipywidegts, but v4 - there have been many breaking changes between than and now - plan is to revert that PR and go back to injecting our own JS (because it works across notebook versions) - talked about long term fate of 'classic' mode - when we have to re-generate images for other reasons, switch those tests to using the new default - discussed (and merged) #8949 - discussed #8944 - discussed #9002 and hi-dpi - it is a mess! - Eric's summary of what is going on - at rendering time, there is a 'true dpi' depending on renderer and what it is rendering too (what screen) - best case user only knows about 'physical' units - our renderers need to do best to go out pixelated output - in vector backends we are doing an intermediate rendering to their represenation - in Agg we are doing both steps ourselves - maybe we should think of this as two stage process to get everything to physical units and the second step - maybe we should add anothre layer to the transform stack Tom

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step-by-step to installling from source using conda?
by Jody Klymak Aug. 7, 2017

Aug. 7, 2017

Hi all, I’m somewhat stymied trying to understand how to install matplotlib in a development environment using conda. I have MacOS, and I have brew gcc etc. I know how to set up a env in conda. I eventually want to be able to run the tests, so that I can stop uploading things with PEP8 errors etc. Sorry if this is too vague. I can start over again and send specific errors if that is easier, but I would bet someone has a step-by-step. Thanks, Jody

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list moderation
by Thomas Caswell Aug. 6, 2017

Aug. 6, 2017

Folks, We have a pretty high false-positive rate in the python.org mailing list moderation queues (mostly due to the 'must be a member to post' policy). I just cleared them from May - now (which is why there is a huge spike in emails just now >:) ) Do we want to: a) relax that (at the cost of getting a bit more spam) b) some more people volunteer to help moderate the list Tom

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Matplotlib Finance Maintenance
by dmcnick150＠frontier.com Aug. 5, 2017

Aug. 5, 2017

Hello! What is involved in maintaining the matplotlib.finance module? I am a daily user of the module and consider myself to be an okay Python script writer, but I wonder if maintaining the module is beyond my skill. Thanks for your consideration, David McNickle dmcnick150(a)frontier.com Sent from myMail for iOS

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