# automagic conversion of pandas dataframes
# to R objects
from rpy2.robjects import pandas2ri
pandas2ri.activate()
# rpy2's mapping of R's ggplot2
from rpy2.robjects.lib import ggplot2
# goodies for ipython (here to plot ggplot2
# in the notebook)
from rpy2.interactive import ipython


# dummy data
import io
f = io.StringIO('"x","y"\n1,3\n4,2\n5,6\n2,2\n4.5,4\n3,2.1\n')
import pandas
dataf = pandas.read_csv(f)
# note that 1) the pandas object is used directly
# and 2) the ipython-specific constructor ggplot is used
ipython.ggplot(dataf) + \
    ggplot2.aes_string(x = 'x', y = 'y') + \
    ggplot2.geom_point() + \
    ggplot2.geom_smooth(method = "loess")