import pandas as pd
import pandas.rpy.common as com
import rpy2
r = rpy2.robjects.r
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C':[7,8,9]},
index=["one", "two", "three"])
rdf = com.convert_to_r_dataframe(df)
r.assign('bob', rdf)
<DataFrame - Python:0x10b9159e0 / R:0x1083aa038> [IntVector, IntVector, IntVector] A: <class 'rpy2.robjects.vectors.IntVector'> <IntVector - Python:0x10b915d40 / R:0x1086d84e8> [ 1, 2, 3] B: <class 'rpy2.robjects.vectors.IntVector'> <IntVector - Python:0x10b915cb0 / R:0x1086d84b0> [ 4, 5, 6] C: <class 'rpy2.robjects.vectors.IntVector'> <IntVector - Python:0x10b915ef0 / R:0x1086d8478> [ 7, 8, 9]
%R plot(bob$$A, bob$$B)
r.assign('testX', df.A)
r.assign('testY', df.B)
%R plot(testX, testY)
%R hist(bob$$A)
array([<rpy2.rinterface.SexpVector - Python:0x10acbb210 / R:0x1083c6028>, <rpy2.rinterface.SexpVector - Python:0x10acbb1e0 / R:0x10868d608>, <rpy2.rinterface.SexpVector - Python:0x10acbb240 / R:0x1085d40c8>, <rpy2.rinterface.SexpVector - Python:0x10acbb258 / R:0x1085d3fa8>, <rpy2.rinterface.SexpVector - Python:0x10acbb270 / R:0x1085d3e88>, <rpy2.rinterface.SexpVector - Python:0x10acbb288 / R:0x10791fca8>, <rpy2.rinterface.SexpVector - Python:0x10acbb2a0 / R:0x107910d48>], dtype=object)
%R hist(testX)
array([<rpy2.rinterface.SexpVector - Python:0x10acbb318 / R:0x108020f10>, <rpy2.rinterface.SexpVector - Python:0x10acbb2e8 / R:0x10851c740>, <rpy2.rinterface.SexpVector - Python:0x10acbb348 / R:0x10860c560>, <rpy2.rinterface.SexpVector - Python:0x10acbb360 / R:0x10860c3b0>, <rpy2.rinterface.SexpVector - Python:0x10acbb378 / R:0x10860c320>, <rpy2.rinterface.SexpVector - Python:0x10acbb390 / R:0x108718988>, <rpy2.rinterface.SexpVector - Python:0x10acbb3a8 / R:0x108718958>], dtype=object)