ggplot 0.1.4

ggplot for python

{ggplot}
========

::

from ggplot import *
from pandasql import load_meat
meat = load_meat()

ggplot(aes(x='date', y='beef'), data=meat) + \
geom_point() + \
geom_line(color='lightblue') + \
ggtitle("Beef: It's What's for Dinner") + \
xlab("Date") + \
ylab("Head of Cattle Slaughtered")

What is it?
~~~~~~~~~~~

Yes, it's another implementation of
```ggplot2`` <https://github.com/hadley/ggplot2>`__. One of the biggest
reasons why I continue to reach for ``R`` instead of ``Python`` for data
analysis is the lack of an easy to use, high level plotting package like
``ggplot``. I've tried other libraries like ``Bockah`` and ``d3py`` but
what I really want is ``ggplot2``.

``ggplot`` is just that. It's an extremely un-pythonic package for doing
exactly what ``ggplot2`` does. The goal of the package is to mimic the
``ggplot2`` API. This makes it super easy for people coming over from
``R`` to use, and prevents you from having to re-learn how to plot
stuff.

Goals
~~~~~

- same API as ``ggplot2`` for ``R``
- tight integration with
```pandas`` <https://github.com/pydata/pandas>`__
- pip installable

Getting Started
~~~~~~~~~~~~~~~

Dependencies
^^^^^^^^^^^^

- ``matplotlib``
- ``pandas``
- ``numpy``
- ``scipy``

unzip the matplotlibrc
======================

$ unzip matplotlibrc.zip ~/ $ pip install ggplot

Examples
~~~~~~~~

``geom_point``
^^^^^^^^^^^^^^

::

from ggplot import *
ggplot(diamonds, aes('carat', 'price')) + \
geom_point(alpha=1/20.)

``geom_hist``
^^^^^^^^^^^^^

::

p = ggplot(aes(x='carat'), data=diamonds)
p + geom_hist() + ggtitle("Histogram of Diamond Carats") + labs("Carats", "Freq")

``geom_bar``
^^^^^^^^^^^^

::

p = ggplot(mtcars, aes('cyl'))
p + geom_bar()

TODO
~~~~

- finish README
- add matplotlibrc to build script
- distribute on PyPi
- come up with better name
- handle NAs gracefully
- make ``aes`` guess what the user actually means (DONE)
- aes:

- size
- se for stat\_smooth
- fix fill/colour

- geoms:

- geom\_abline (DONE)
- geom\_area (DONE)
- geom\_bar (IN PROGRESS)
- geom\_boxplot
- geom\_hline (DONE)
- geom\_ribbon (same as geom\_ribbon?)
- geom\_vline (DONE)
- stat\_bin2d (DONE)
- geom\_jitter
- stat\_smooth (bug)

- scales:

- scale\_colour\_brewer
- scale\_colour\_gradient
- scale\_colour\_gradient2
- scale\_x\_continuous
- scale\_x\_discrete
- scale\_y\_continuous

- facets:

- facet\_grid (DONE)