ggplot 0.1.1

ggplot for python

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

# unzip the matplotlibrc
$ unzip matplotlibrc.zip ~/
$ pip install ggplot

Examples

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)