将R Matrix转换为Pandas Dataframe [英] Convert R Matrix to Pandas Dataframe

问题描述

我正在尝试将R矩阵转换为熊猫数据框.我正在使用:

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)

然后我得到:

TypeError: 'float' object cannot be interpreted as an index

奇怪的是，我遇到的所有文档都省略了这种用例.我还将解决将R矩阵转换为numpy array的问题-因为无论如何我都希望对行进行迭代.

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.

推荐答案

只需使用numpy.array():

from rpy2 import robjects
m = robjects.reval("matrix(1:6, nrow=2, ncol=3)")
import numpy as np
a = np.array(m)

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