Python Pandas转R数据框 [英] Python Pandas to R dataframe

问题描述

我打算将Python pandas数据框转换为R中的数据框. 我发现了几个库来解决这个问题

I am going to convert Python pandas dataframe to dataframe in R. I found out few libraries for this problem

http://pandas.pydata.org/pandas-docs/stable/r_interface.html

这是rpy2

但是我找不到保存或转移到R的方法.

But I couldn't find the methods for saving or transfer it to R.

首先我尝试了"to_csv"

Firstly I tried "to_csv"

df_R = com.convert_to_r_dataframe(df_total)
df_R.to_csv(direc+"/qap/detail_summary_R/"+"distance_"+str(gp_num)+".csv",sep = ",")

但这给我一个错误

"AttributeError: 'DataFrame' object has no attribute 'to_csv'  "

所以我试图查看它的数据类型 是

So I tried to see its data type it was

<class 'rpy2.robjects.vectors.DataFrame'>

如何将这种类型的对象保存到csv文件或转移到R?

how could I save this type object to csv file or transfer to R?

推荐答案

最新文档

The recent documentation https://rpy2.github.io/doc/v3.2.x/html/generated_rst/pandas.html has a section about interacting with pandas.

否则，类型为rpy2.robjects.vectors.DataFrame的对象具有方法to_csvfile，而不是方法to_csv:

Otherwise objects of type rpy2.robjects.vectors.DataFrame have a method to_csvfile, not to_csv:

https ://rpy2.github.io/doc/v3.2.x/html/vector.html#rpy2.robjects.vectors.DataFrame.to_csvfile

如果要在Python和R之间传递数据，则有比写入和读取CSV文件更有效的方法.尝试转换系统:

If wanting to pass data between Python and R, there are more efficient ways than writing and reading CSV files. Try the conversion system:

from rpy2.robjects import pandas2ri
pandas2ri.activate()

from rpy2.robjects.packages import importr

base = importr('base')
# call an R function on a Pandas DataFrame
base.summary(my_pandas_dataframe)

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