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Yes of course, I originally generated the file using Pandas but it's always a pain in the ass to remember the magical incantations to make pretty 2D graphs that

Yes of course, I originally generated the file using Pandas but it's always a pain in the ass to remember the magical incantations to make pretty 2D graphs that aren't fugly. That being said, I have a knack for making great 3D graphs that are awesome! In any case, it's hard when my employer doesn't just gimme that juicy Excel subscription because cost-cutting and efficiencies. In the end I put on my robe and wizard hat and used matplotlib. (╯°□°）╯︵ ┻━┻

popinman322 5y ago
Seaborn in Python to make matplotlib pretty by default + plot some uncommon graphs. `%matplotlib widget` to make matplotlib interactive. Plotly in Python if you want decent graphs that are also interactive by default. Observable if you want an interactive, hosted visualization notebook (and all their libraries are open source, except their UI). Plotly, Observable's Plot library, or D3 if you don't mind JavaScript. Can bundle libraries + data + visualization into a single html file and deliver that as an interactive report; once you have the base template down it's decently ergonomic. Plotly is my current default when I'm working with Jupyter, though. Sane defaults are nice.