Mailman 3 March 2020 - Matplotlib-devel

Weekly meeting
by Jody Klymak March 30, 2020

March 30, 2020

hi all Meeting agenda aNd link to zoom at https://hackmd.io/zxV2GktcRqmoy_dJIn7T6g Please add items if you’d like them discussed this week. Thanks, Jody Sent from my iPad

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[ANN] Matplotlib 3.2.1 release
by Elliott Sales de Andrade March 21, 2020

March 21, 2020

Hi all, I'm a bit late on this, but Matplotlib 3.2.1 was released a couple days ago. This is the first bugfix release of the 3.2.x series. This release contains several critical bug-fixes: * fix Quiver.set_UVC calls with scalar inputs * fix bezier.get_parallels failure from floating point rounding errors * fix markers specified as tuples (polygons, stars, or asterisks) * fix saving PNGs to file objects in some places * fix saving figures using the nbAgg/notebook backend * fix saving with tight layout using the PGF backend * fix setting custom datapath in rcParams (note: it is still deprecated) * fix various issues running setup.py in non-CI environments * fix xpdf distiller * various minor bug and documentation fixes PS, since there was no release announcement for 3.2.0, here are its release notes: * default image interpolation is now `'antialiased'` to better handle down-sampling and reduce artifacts when up-sampling by small ratios. * change when ticks switch to using an offset to improve readability * improvements to auto-scaling and auto-limits * `DivergingNorm` has been renamed to `TwoSlopeNorm` * support for 3 and 4 digit hex colors (`#123` maps to `#112233`) * improvements to Logit scale ticker and formatter * control of where errorbars start getting placed with `errorevery` * correct kerning when laying out text * improvements to MovieRegistry For the full details please see the whats new [1] and API changes [2] in the documentation [1] https://matplotlib.org/3.2.0/users/whats_new.html [2] https://matplotlib.org/3.2.0/api/api_changes.html PPS, for packagers, only: Since I tagged this release, and not Thomas, it is signed by my GPG key. The fingerprint is: 23CA B59E 3332 F94D 26BE F037 8D86 E7FA E5EB 0C10 and it is also used to sign this message. -- Elliott

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Easier tick formatters
by Todd March 10, 2020

March 10, 2020

Currently setting up the tick formatting on matplotlib requires you to import a formatter from the ticker module, create an instance of that formatter, then pass that to the axis. This makes sense for complicated formatting. However, there are some obvious cases where we can probably infer the type of formatting someone wants to do if we are just given the formatter content. For example * '' is probably going to be the null formatter * A callable, besides a formatter instance, is probably going to be a function formatter * A sequence or numpy array is probably going to be an index or fixed formatter, depending on the locator * Any other string is probably going to be a format string formatter or string method formatter. So I think we could allow the `set_major_formatter` and `set_minor_formatter` to take certain sorts of inputs and create the formatter automatically for the user, making such cases much, much easier. Specifically, I propose the following inputs be accepted: * `None` sets it to the default formatter * A callable (besides a formatter instance) is set to be a FuncFormatter * An empty string, `''`, is set to be a NullFormatter * Any other string is a StrMethodFormatter * An abc.collections.Sequence subclass or numpy ndarray subclass is an IndexFormatter, unless the axis is using a FixedLocator in which case it is a FixedLocator. We could restrict this to just lists and numpy arrays only. Any thoughts?

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Re: [Matplotlib-devel] Gasoline Rainbow: a modernized prism colormap
by Michael Waters March 6, 2020

March 6, 2020

Hi all, I don't know if anyone other than Isaac Gerg is interested, but gasoline_rainbow has about 5.3x the total contrast of viridis. I understand there are some aesthetic issues with the colormap, but as an upgrade for prism, I don't think it's too bad. Cheers, -Mike On 3/4/20 3:12 PM, Isaac Gerg wrote: > sorry, I didnt mean monotonic luminance but repeating colors. I think > the colormap is useful as it stands. > > Isaac > > On Wed, Mar 4, 2020 at 4:03 PM Michael J. Waters > <waters.mike.j(a)gmail.com <mailto:waters.mike.j@gmail.com>> wrote: > > Hi Greg, > > I think having monotonic luminance is good because the viewer > still gets information on the overall position in the data set, > not just local contrast (like with prism). If there is sufficient > interest, I could try constructing a new version that forgoes > linear luminance for monotonic luminance but still is perceptually > uniform. > > -Mike > > > On 3/4/20 2:25 PM, Isaac Gerg wrote: >> I think its a good colormap for exploratory analysis. I would >> include it in the baseline. >> >> Lots of people bag on jet or rainbow but for exploratory analysis >> where you have data of a large dynamic range, linear luminance is >> not something you want. I think this would be a good substitute. >> >> On Tue, Mar 3, 2020 at 1:32 PM Michael J. Waters >> <waters.mike.j(a)gmail.com <mailto:waters.mike.j@gmail.com>> wrote: >> >> Hi All, >> >> I have developed a colormap, gasoline_rainbow, with high >> local contrast >> that is also perceptually uniform and linear luminant. It >> fulfills a >> similar role as prism but has some non-local contrast due to >> it's linear >> luminance. >> >> You can see it here: >> https://gitlab.com/mjwaters/gasoline-rainbow-colormap/-/tree/master >> >> Is there any interest in including this map in MPL? I think >> it could >> fill a role missing from the default options. >> >> Cheers, >> >> -Mike >> >> _______________________________________________ >> Matplotlib-devel mailing list >> Matplotlib-devel(a)python.org <mailto:Matplotlib-devel@python.org> >> https://mail.python.org/mailman/listinfo/matplotlib-devel >>

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Re: [Matplotlib-devel] Gasoline Rainbow: a modernized prism colormap
by Michael J. Waters March 4, 2020

March 4, 2020

Hi Greg, I think having monotonic luminance is good because the viewer still gets information on the overall position in the data set, not just local contrast (like with prism). If there is sufficient interest, I could try constructing a new version that forgoes linear luminance for monotonic luminance but still is perceptually uniform. -Mike On 3/4/20 2:25 PM, Isaac Gerg wrote: > I think its a good colormap for exploratory analysis. I would include > it in the baseline. > > Lots of people bag on jet or rainbow but for exploratory analysis > where you have data of a large dynamic range, linear luminance is not > something you want. I think this would be a good substitute. > > On Tue, Mar 3, 2020 at 1:32 PM Michael J. Waters > <waters.mike.j(a)gmail.com <mailto:waters.mike.j@gmail.com>> wrote: > > Hi All, > > I have developed a colormap, gasoline_rainbow, with high local > contrast > that is also perceptually uniform and linear luminant. It fulfills a > similar role as prism but has some non-local contrast due to it's > linear > luminance. > > You can see it here: > https://gitlab.com/mjwaters/gasoline-rainbow-colormap/-/tree/master > > Is there any interest in including this map in MPL? I think it could > fill a role missing from the default options. > > Cheers, > > -Mike > > _______________________________________________ > Matplotlib-devel mailing list > Matplotlib-devel(a)python.org <mailto:Matplotlib-devel@python.org> > https://mail.python.org/mailman/listinfo/matplotlib-devel >

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Gasoline Rainbow: a modernized prism colormap
by Michael J. Waters March 4, 2020

March 4, 2020

Hi All, I have developed a colormap, gasoline_rainbow, with high local contrast that is also perceptually uniform and linear luminant. It fulfills a similar role as prism but has some non-local contrast due to it's linear luminance. You can see it here: https://gitlab.com/mjwaters/gasoline-rainbow-colormap/-/tree/master Is there any interest in including this map in MPL? I think it could fill a role missing from the default options. Cheers, -Mike

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New PyPI Classifier: `Framework :: Matplotlib`
by Hannah March 4, 2020

March 4, 2020

The PyPA (Python Packaging Authority) just created the Framework :: Matplotlib classifier! Do you maintain a package that’s part of the Matplotlib ecosystem? Add Framework :: Matplotlib to the classifiers list on setup.py to help users find your project on PyPI (the Python Packaging Index). It also lets us know about your project when we tell folks about all the cool stuff built with Matplotlib. x-posted from https://discourse.matplotlib.org/t/framework-matplotlib-trove-classifier/20… & comments should go to the discourse post.

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