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I don't mind pandas so much, although dplyr is quite nice IMO (feels like natural language and declarative/SQL like, whereas pandas ends up with lots of procedural idioms).

ggplot is something that I don't think matplotlib is comparable to at all, though. I am so much faster at iterating on a visualization with R/ggplot than Python/matplotlib. Maybe it is my tooling, though. How about others who have used both? What are your experiences?

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No, same here. I tried to recreate some covid rate graphs in python. The ggplot code did facetting and fitted a LOESS to the data. Nothing ground breaking, but it really hit the limits of what seaborn was able to do, and I wasn't able to tinker with it much further. It got to the point where to make it look good I needed to calculate all the curves manually.

ggplot >> matplotlib and dplyr >> pandas. its not even close imo.

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