ggplot is a great python library. However, it is no longer maintained by its owner and still has a bunch of issues which remain unsolved. Some of these include incompatibility with newer versions of pandas and Python 3.
Many projects still rely on ggplot and many have to either move to alternatives or manually update ggpy's code after installing it to fix compatibility issues. To get a better context of the issue you can refer to #654 Is this project dead?
This fork is a working copy of ggplot which is readily maintained and is open to updates and fixes so that developers do not have to make fixes manually.
$ pip3 install git+https://github.com/sushinoya/ggpyggplot 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')