python dataframe写入R数据格式

I have a question with writing a dataframe format to R.

我有一个问题，要将数据帧格式写入R.

I have 1000 column X 77 row data. I want to write this dataframe to R data.

我有1000列X 77行数据。我想将此数据帧写入R数据。

When I use function of

当我使用的功能

r_dataframe = com.convert_to_r_dataframe(df)

it gives me an error like dataframe object has no arttribute type.

它给我一个像dataframe对象没有arttribute类型的错误。

When I see the code of com.convert_to_r_dataframe(). it just get the column of dataframe, and get the colunm.dtype.type. In this moment, the column is dataframe, I think large columns dataframe has inside dataframes? Any one have some idea to solve this problem?

当我看到com.convert_to_r_dataframe（）的代码时。它只是获取数据帧的列，并获取colunm.dtype.type。在这一刻，列是数据帧，我认为大列数据帧有内部数据帧？任何人都有一些想法来解决这个问题？

2 个解决方案

#1

The data.frame transfer from Python to R could be accomplished with the feather format. Via this link you can find more information.

从Python到R的data.frame传输可以使用羽化格式完成。通过此链接，您可以找到更多信息。

Quick example.

快速举例。

Export in Python:

用Python导出：

import feather
path = 'my_data.feather'
feather.write_dataframe(df, path)

Import in R:

在R中导入：

library(feather)
path <- "my_data.feather"
df <- read_feather(path)

In this case you'll have the data in R as a data.frame. You can then decide to write it to an RData file.

在这种情况下，您将R中的数据作为data.frame。然后，您可以决定将其写入RData文件。

save(df, file = 'my_data.RData')

#2

simplest, bestest practical solution is to export in csv

最简单，最实用的解决方案是在csv中导出

import pandas as pd

dataframe.to_csv('mypath/file.csv')

and then read in R using read.csv

然后使用read.csv读入R.

#1