I'm trying to convert an R matrix to a pandas dataframe. I am using:
import pandas.rpy.common as com
df = com.convert_to_r_dataframe(r_matrix)
And I get:
TypeError: 'float' object cannot be interpreted as an index
Strangely enough this use case is omitted from all documentation I have come across. I would also settle for a conversion of the R matrix to a numpy array - since I will want to iterate over the rows anyway.
Just use numpy.array():
from rpy2 import robjects
m = robjects.reval("matrix(1:6, nrow=2, ncol=3)")
import numpy as np
a = np.array(m)
I think you are getting confused about the difference between convert_to_r_dataframe and convert_robj. Use the former one for converting TO R, and the latter one for converting BACK from R:
In [30]:
from rpy2 import robjects
m=robjects.r('matrix(1:6, nrow=2, ncol=3)')
In [31]:
print com.convert_robj(m)
0 1 2
1 1 3 5
2 2 4 6
In [32]:
m=robjects.r('as.data.frame(matrix(1:6, nrow=2, ncol=3, dimnames=list(1:2, 1:3)))')
In [33]:
print com.convert_robj(m)
1 2 3
1 1 3 5
2 2 4 6
