Mailman 3 May 2022 - Matplotlib-devel

The Scientific Python Alt-Text Workshop (for Matplotlib blogs & viz!)
by Noa Tamir May 11, 2022

May 11, 2022

👋 Hi folks, We would like to invite you to join the the Scientific Python Alt-Text workshop [1] happening this Friday, May 13th @ 1PM UTC. You will learn how to communicate science more accessibly! This is particularly relevant to the Matplotlib Community since most of the viz which will get alt-text during this event are from our (former) blog posts, which recently moved to the Scientific Python blog [2]. So you might consider joining if you're interested in contributing alt-test to your own post, if you have written for us before, or if you just want to learn how to write informative alt-text for viz 😉. Here are all the details: Help us make open source Scientific Python more accessible! Join our workshop with [Isabela Presedo-Floyd](https://github.com/isabela-pf), [Mars Bar Lee](https://github.com/MarsBarLee), and [Pamphile Roy](https://github.com/tupui), where we will learn how to add image descriptions 🖼️ to blogposts, documentation and diagrams 📈. For more information on how to attend check out: https://hackmd.io/bfhftUCiTRqx2S8CTGUt6g Images are powerful 🔥🔥, but not everyone can access them. People with visual disabilities use alt-text to understand images. Here's an example: Alt-Text: Two examples highlighting how alt-text helps screen-reader users. Both example have an image of a cat. In the first example, the screen-reader reads out 'IMG_584729.png'. In the second example, the screen-reader reads out 'Cute cat'. However, Scientific Python faces a unique challenge when it comes to accessibility. It's a bit more difficult to write alt-text for complex images, such as graphs 📈 or documentation 📖. Don't worry, with this workshop we'll learn how to do that! 💪 Alt-text: A histogram with multiple arrows pointing at various properties of a graph, such as shape and variance. To the side, various questions about on how to write alt-text for this histogram. — This is a wonderful opportunity to learn about accessibility & alt text for viz, and to refine your communication skills. The workshop is led by experienced UX and accessibility folk! Hope to see you there! ☺️ Noa (she/her) [1] https://hackmd.io/bfhftUCiTRqx2S8CTGUt6g [2] https://blog.scientific-python.org/posts/

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Announcing the New Contributors Meeting
by Noa Tamir May 5, 2022

May 5, 2022

Hi 👋 We’re happy to invite you to the first Matplotlib New Contributor Meeting 🎉 The first meeting will take place next week, May 10th (Tuesday) at 5:00 PM UTC and it will be scheduled to repeat monthly after that. 🥳 This meeting is for any new contributors, who want to meet more experienced contributors and maintainers, in order to get support with getting started as a new contributors, with their on going pull request (PR), or anything else you might want to discuss - you decide what’s on the agenda! To join us please check our meeting calendar at Scientific Python, which has the meeting times, with links to the agenda we prepared and the meeting zoom link. [1] All are welcome, and we’re looking forward to meeting with you! Cheers, Greg (he/him), and Noa (she/her) PS- if you’re a more experienced contributor or maintainer, and want to join to help new contributors, you are also welcome to join us! [1] https://scientific-python.org/calendars/https://scientific-python.org/calen…

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[ANN] Matplotlib 3.5.2
by Elliott Sales de Andrade May 3, 2022

May 3, 2022

Hi all, We are pleased to announce the release of 3.5.2. This is the second bug fix release of the 3.5.x series. Pre-built wheels are available for most major platforms, and can be installed using `pip install matplotlib==3.5.2`. Other packages may also be available already; please check with your preferred source. We thank the 30 authors for the 222 pull requests that comprise the 3.5.2 release. This release contains several bug-fixes and adjustments: * Add support for Windows on ARM (source-only; no wheels provided yet) * Add year to concise date formatter when displaying less than 12 months * Disable |QuadMesh| mouse cursor to avoid severe performance regression in |pcolormesh| * Delay backend selection to allow choosing one in more cases * Fix automatic layout bugs in EPS output * Fix autoscaling of |scatter| plots * Fix clearing of subfigures * Fix colorbar exponents, inversion of extensions, and use on inset axes * Fix compatibility with various NumPy-like classes (e.g., Pandas, xarray, etc.) * Fix constrained layout bugs with mixed subgrids * Fix |errorbar| with dashes * Fix errors in conversion to GTK4 and Qt6 * Fix figure options accidentally re-ordering data * Fix keyboard focus of TkAgg backend * Fix manual selection of contour labels * Fix path effects on text with whitespace * Fix |quiver| in subfigures * Fix |RangeSlider.set_val| displaying incorrectly * Fix regressions in collection data limits * Fix |stairs| with no edgecolor * Fix some leaks in Tk backends * Fix tight layout DPI confusion * Fix tool button customizability and some tool manager bugs * Only set Tk HiDPI scaling-on-map for Windows systems * Partially allow TTC font collection files by selecting the first font For further details, please see the What's new in Matplotlib 3.5.2 page: https://matplotlib.org/3.5.2/users/prev_whats_new/whats_new_3.5.2.html https://matplotlib.org/3.5.2/users/prev_whats_new/whats_new_3.5.0.html and the milestone on GitHub: https://github.com/matplotlib/matplotlib/milestone/69?closed=1 This release is signed by my GPG key, which is also used to sign this email. The fingerprint is: 23CA B59E 3332 F94D 26BE F037 8D86 E7FA E5EB 0C10

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Disabling Travis CI in the Matplotlib organization
by Elliott Sales de Andrade May 2, 2022

May 2, 2022

Hello, Given the recent security issue [1], we would like to reduce our exposure to addons we don't use. As Travis CI has essentially killed itself for Open Source projects, we have mostly moved off of it. Hence, we have suspended Travis in the Matplotlib organization. There are still 4 repositories that still contain a `.travis.yml`: - https://github.com/matplotlib/freetypy - https://github.com/matplotlib/mpl-finance - https://github.com/matplotlib/trendvis - https://github.com/matplotlib/viscm It would be appreciated if you could move those repositories to a different CI system (or maybe they should be archived?) If there are no complaints in the next month or so, we can then disable Travis CI entirely (or earlier if everyone's moved.) [1] https://github.blog/2022-04-15-security-alert-stolen-oauth-user-tokens/ -- Elliott

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