plots2 VS matplotlib

Citizen science! It's great when people realize they can answer their own questions with observation and data, and for activism because data is a powerful story. One friend of mine started https://publiclab.org to feed this, and another is doing data journalism to highlight holes in the government's environmental data. https://www.muckrock.com/project/

My first contribution ever was to PublicLab's plots2 back in 2018. I had no idea what I was doing or what plots2 was. What attracted me was how welcoming they were (and still are) to first time contributors. With them: I opened my first PR, discussed in PR's conversation, and pushed the changes requested. Back then, that was a lot!

Hmm so to your first question: That pattern of selecting from a pre-populated list is often used with a tag or chip system where you can select and deselect one or more items from the list, something like this: https://github.com/publiclab/plots2/issues/6026 in this case the search CTA acts as the final decision to search while the selections are populating the search criteria. It sounds your system design is a bit different though. Sounds to me like an issue of heuristics of UI https://www.nngroup.com/articles/ten-usability-heuristics/ the third heuristic states:

Maybe public lab would be a good home? https://publiclab.org/

https://github.com/publiclab/plots2 A collaborative knowledge-exchange platform in Rails; we welcome first-time contributors! balloon

Github: https://github.com/matplotlib/matplotlib

as suggested here.

Tool: Matplotlib Pyplot

The issue was described here: https://github.com/matplotlib/matplotlib/issues/8409, but the "solution" was just "this is fixed" which was not helpful to me.

Matplotlib: Matplotlib is a 2D plotting library that allows you to create visualizations of your data. It's a powerful tool for data analysis, but the syntax can be complex and the customization options can be overwhelming. GitHub - https://github.com/matplotlib/matplotlib

A quick google shows: this history.txt:

Let's take a small subset i.e 20 data points of our prediction and compare it with actual output using matplotlib library

I will think more about what I want to say next, but for now, I would like to say that I need the super-particles and PIC methods as I think that is the way forward for me. Are there ways to implement these methods in matplotlib, Visit or Paraview? Do I take existing code and import it into those programs to visualize it? Or can I directly program/simulate something in those visualizion tools without needing to import any code?