ggplot is a Python implementation of the grammar of graphics. It is not intended
to be a feature-for-feature port of ggplot2 for R--though
there is much greatness in ggplot2, the Python world could stand to benefit
from it. So there will be feature overlap, but not neccessarily mimicry
(after all, R is a little weird).
You can do cool things like this:
ggplot(diamonds, aes(x='price', color='clarity')) + \
geom_density() + \
scale_color_brewer(type='div', palette=7) + \
facet_wrap('cut')$ pip install -U ggplot
# or
$ conda install -c conda-forge ggplot
# or
pip install git+https://github.com/yhat/ggplot.gitExamples are the best way to learn. There is a Jupyter Notebook full of them. There are also notebooks that show how to do particular things with ggplot (i.e. make a scatter plot or make a histogram).
It's gone--the windows, the doors, everything. Just kidding, you can find it here, though I'm not sure wh 5B79 y you'd want to look at it. The data grouping and manipulation bits were re-written (so they actually worked) with things like facets in mind.
Thanks to all of the ggplot contributors! See contributing.md.