| ▲ | Show HN: Minimalist library to generate SVG views of scientific data(github.com) | |
| 39 points by afc 4 days ago | 3 comments | ||
Just wanted to share with HN a simple/minimal open source Python library that generates SVG files visualizing two dimensional data and distributions, in case others find it useful or interesting. I wrote it as a fun project, mostly because I found that the standard libraries in Python generated unnecessarily large SVG files. One nice property is that I can configure the visuals through CSS, which allows me to support dark/light mode browser settings. The graphs are specified as JSON files (the repository includes a few examples). It supports scatterplots, line plots, histograms, and box plots, and I collected examples here: https://github.com/alefore/mini_svg/blob/main/examples/READM... I did this mostly for the graphs in an article in my blog (https://alejo.ch/3jj). Would love to hear opinions. :-) | ||
| ▲ | WaryByDesign 6 hours ago | parent | next [-] | |
Other than that the graphs look good, I don't have much to say about the code (not a Python person), but I think the approach is great, mostly because I like using custom-generated SVGs for visualizations myself as well. The only downside I've experienced is that it's pretty much impossible to get data-dependent interactions (tooltips and clickable links that vary based on section) to work reliably: additional Javascript has gotten me to like 80% on desktop, but not on mobile. | ||
| ▲ | groundzeros2015 32 minutes ago | parent | prev | next [-] | |
How does it compare to gnuplot svg output? | ||
| ▲ | emilbratt 6 hours ago | parent | prev [-] | |
Looks neat! As someone who also did a barplot library with SVG output, I can tell you that this sort of program is really fun to write. | ||