Hi all,

I was wondering if the community had any suggestions of toolboxes to plot the output of simulations (ideally in python) and make publication-quality figures.

I am mostly thinking of eg spike rasterplots or heatmaps (time x variable) with large datasets. Ideally in such a way that those can be aligned with other figures easily (spike histograms, LFP, you name it)

This is a very general problem that I suppose a lot of us have been confronted with, and I actually haven't found so far a good solution:

 -matplotlib (python) is robust and can handle large datasets but looks bad and is a nightmare to deal with when trying to make figures with multiple subplots of specific sizes etc

- altair (python) looked promising and versatile but is actually struggling with large datasets

- The existing projects for (analysis and) visualization of neural data that I have checked (elephant spykes etc) are either quite specific/limited or not very active. Additionally they are focused on real ePhys data: either multiunit spike data or single neuron continuous data, while simulations provide both.

Happy to get any suggestions and share some code !

Thanks, Tom