So I’m considering going deep into a data viz library, and I’m wondering what you people think. I’m not asking reddit because I know for a fact that all the hardcore people that know their stuff are on lemmy.

Here are my requirements:

  • API must at least pretend to be reasonably designed.
    • I know that viz libraries are complex. But I want something with carefully chosen primitives that scale reasonably well from “data goes in, chart goes out” to nit-picky adjustments.
  • Defaults must not be ugly.
    • Or at least there should be an easy way to bypass the default ugliness. I know that design is subjective, but how am I supposed to trust a library that operates on the visual space and yet decides that a bad default is ok?
    • Here looks like ggplot has the upper hand. But there is a stylesheet that makes matplotlib look like ggplot, so maybe that’s not a big problem.
  • Must have a future.
    • The github contribution chart on matplotlib just keep going up, it’s insane. While ggplot not so much. But maybe it’s hard to compete with the python hype machine, and that is that.
  • Bonus points if interactive and renders to web too.

Non-requirements:

  • Easy learning curve.
    • I am a hardcore programm0r. I like it rough, as long as it’s worth the effort.
  • Heavy math stuff.
    • I’m not designing rockets or wind turbines. I just want a way to visually represent data as lines, charts, pies, or maps, or maybe violins if I’m feeling fancy.

Thanks

  • pixelpop3@programming.devEnglish
    2·
    1 year ago

    Just about everything is modifiable in matplotlib… It may not be easy, but all plotting libraries are designed to make some things easy at the expense of making other tasks more difficult. For matplotlib you just have to think about things the way matlab thinks about things… which is more computer graphics based. It can get ugly until you understand it. But if you understand how any plotting library actually works it’s not that bad. All plotting libraries ultimately are built on graphical primitives like lines and fonts and triangles and patches computing where things belong by transforming coordinates and feeding them to a layout engine. It’s not as magical as the APIs make them seem. So if you’re willing to dig into their bowels (as OP mentions) there really aren’t any many limits. Sometimes it’s actually easiest to just declare a canvas in memory and draw it all by hand. Ultimately, things are either vector or raster formats (or some abstraction that supports both) and fed into some computer graphics engine (like postscript or some OS’s or GPU canvas).

    Anyway, sometimes the easiest answer is you export and edit the labels in the final figure. One really nasty way if you don’t have PS or PDF tools is to sidetrack through Windows EMF and mess with fonts and positioning of text in PowerPoint.