I converted a pandas df to r using the the below:
import pandas as pd
import pandas.rpy.common as com
import rpy2.robjects as ro
from rpy2.robjects.packages
Given your import, it appears it is:
com.convert_robj(rdf)
For example,
In [480]: dfrm
Out[480]:
A B C
0 0.454459 49.916767 1
1 0.943284 50.878174 1
2 0.974856 50.335679 2
3 0.776600 50.782104 1
4 0.553895 50.084505 1
5 0.514018 50.719019 2
6 0.915413 50.513962 0
7 0.771571 49.859855 2
8 0.068619 49.409657 0
9 0.728141 50.945174 2
10 0.388115 47.879653 1
11 0.960172 49.680258 0
12 0.015216 50.067968 0
13 0.495024 50.286287 1
14 0.565954 49.909771 1
15 0.992279 49.009696 1
16 0.179934 49.554256 0
17 0.521243 47.854791 0
18 0.551241 51.076262 1
19 0.713271 49.418503 0
20 0.801716 50.660304 1
In [481]: rdfrm = com.convert_to_r_dataframe(dfrm)
In [482]: rdfrm
Out[482]:
[FloatVector, FloatVector, IntVector]
A:
[0.454459, 0.943284, 0.974856, ..., 0.551241, 0.713271, 0.801716]
B:
[49.916767, 50.878174, 50.335679, ..., 51.076262, 49.418503, 50.660304]
C:
[ 1, 1, 2, ..., 1, 0, 1]
In [483]: com.convert_robj(rdfrm)
Out[483]:
A B C
0 0.454459 49.916767 1
1 0.943284 50.878174 1
2 0.974856 50.335679 2
3 0.776600 50.782104 1
4 0.553895 50.084505 1
5 0.514018 50.719019 2
6 0.915413 50.513962 0
7 0.771571 49.859855 2
8 0.068619 49.409657 0
9 0.728141 50.945174 2
10 0.388115 47.879653 1
11 0.960172 49.680258 0
12 0.015216 50.067968 0
13 0.495024 50.286287 1
14 0.565954 49.909771 1
15 0.992279 49.009696 1
16 0.179934 49.554256 0
17 0.521243 47.854791 0
18 0.551241 51.076262 1
19 0.713271 49.418503 0
20 0.801716 50.660304 1
With docs:
In [475]: com.convert_robj?
Type: function
String Form:
File: /mnt/epd/7.3-2_pandas0.12/lib/python2.7/site-packages/pandas/rpy/common.py
Definition: com.convert_robj(obj, use_pandas=True)
Docstring:
Convert rpy2 object to a pandas-friendly form
Parameters
----------
obj : rpy2 object
Returns
-------
Non-rpy data structure, mix of NumPy and pandas objects