Most everyone at the meeting either always wraps around Matplotlib or else, does that but uses GNUplot for quick, anonymous plots.
fig, ax = subplots(2,1) is a useful starting point. Then work with ax.plot(...) and so on.
Great addons:
- Seaborn for visualizing statistical data, and actually just fixing up the defaults of Matplotlib. Check out
set_style. - Widget library for interactive plots.
- 3D plotting library works pretty ok.
I have a tool built on Matplotlib and Pandas that I can use for basically everything here.
Paul has some scripts.
I have a simple script which uses GNUplot to make ascii plots. Currently, it is set up just for afqmclab results. Feel free to copy/reuse any code from it.
Seaborn's pairplot for viewing correlations and distribution.