ggpy

This tutorial is excellent, and skimming it was worth it to me just for the discovery of https://github.com/Phlya/adjustText! Also, an unfortunate namespace wart is that there's a python package called ggpy that seems to have been abandoned since 2016: https://github.com/yhat/ggpy "plotnine" being the de facto python equivalent of ggplot2 is not obvious at all, but I'll take it :)

There are several libraries inspired by the grammar of graphics and ggplot, and there has even been something like a port (although its now abandoned): https://github.com/yhat/ggpy What I think the author means is that there is no ggplot in the sense that there's no One Ring To Rule Them All -- ggplot2 basically killed off lattice and base R graphics for about 90% of users. The Python graphics ecosystem is more Balkanized.

Happily, a Python port of ggplot is underway [0], although it's still very much a work in progress. [0] https://github.com/yhat/ggplot/

I would suggest either using this: https://github.com/yhat/ggplot or this : https://github.com/bokeh/bokeh/pulse

For stats plotting in python: https://github.com/mwaskom/seaborn https://github.com/yhat/ggplot For stats plotting and web apps in python: https://github.com/bokeh/bokeh For calling r libraries in python: https://pypi.python.org/pypi/rpy2 For out of core datasets in python: https://github.com/blaze/dask https://github.com/blaze/blaze

ggplot for Python [0] is coming along nicely. My own recent use suggests that for basic plotting, most of the expected functionality is there. More advanced displays, such as faceting, are still in progress. Overall, I've been impressed. [0] https://github.com/yhat/ggplot/

There's also the confusingly named ggplot (for python): https://github.com/yhat/ggplot

python ggplot needs some help! https://github.com/yhat/ggplot https://github.com/yhat/ggplot/issues?state=open

Link for the ggplot python port: https://github.com/yhat/ggplot/