pyggplot is a Pythonic wrapper around the R ggplot2 library.
It is based on a a straightforward take Pandas data frames and shove them into R via rpy2 approach.
Please visit http://nbviewer.ipython.org/url/tyberiusprime.github.io/pyggplot/pyggplot%20samples.ipynb
The easiest installation is via PyPI.
$ pip install pyggplot
You may be required to update pandas
, rpy2
, so you may be required to run
$ pip install --upgrade pyggplot
import pandas as pd
import numpy as np
import ggplot
df = pd.DataFrame({'x': np.random.rand(100),
'y': np.random.randn(100),
'group': ['A','B'] * 50})
p = pyggplot.Plot(df)
p.add_scatter('x','y', color='group')
p.render('output.png')
## or if you want to use it in IPython Notebook
# p.render_notebook()
Takes a pandas.DataFrame
object, then add layers with the various add_xyz
functions (e.g. add_scatter
).
Refer to the ggplot documentation about the layers (geoms), and simply
replace geom_*
with add_*
.
See: http://docs.ggplot2.org/0.9.3.1/index.html
You do not need to separate aesthetics from values - the wrapper
will treat a parameter as value if and only if it is not a column name.
(so y = 0
is a value, color = 'blue'
is a value - except if you have a column 'blue'
, then it is a column!.
And y = 'value'
does not work, but that seems to be a ggplot issue).
When the DataFrame is passed to R:
- row indices are turned into columns with 'reset_index',
- multi level column indices are flattened by concatenating them with
' '
, that is(X, 'mean')
becomes'x mean'
.
Error messages are not great - most of them translate to 'one or more columns were not found', but they can appear as a lot of different actual messages such as
- argument "env" is missing, with no default
- object 'y' not found
- object 'dat_0' not found
- requires the following missing aesthetics: x
- non numeric argument to binary operator
without actually quite pointing at what is strictly the offending value. Also, the error appears when rendering (or printing in the IPython Notebook), not when adding the layer.
- the stat support is not great - it doesn't easily map into pythonic objects. For now, do your stats in pandas - more powerful anyhow!
- how could error messages be improved?
- http://ggplot.yhathq.com/ is a port of ggplot2 for python based on matplotlib - unfortunatly not yet feature complete as of early 2015.
- https://github.com/sirrice/pyplot is another wrapper for ggplot closer to R's syntax, and does not rely on rpy2 - calls command line R.