如何在Python接口中运行R代码？

我试图运行下面的代码，我想读csv文件，然后写“sas7bdat”。我试过下面的代码

我们已经在系统上安装了R的必备库

from rpy2 import robjects    

robjects.r('''
        library(haven)
        data <- read_csv("filename.csv")
        write_sas(data, "filename.sas7bdat")
        ''')

从rpy2导入对象
robjects.r（“”）
图书馆（避风港）
数据我有在Python Jupyter笔记本中使用R的经验，开始时有点复杂，但确实有效。这里我只是粘贴了我的个人笔记，希望这些帮助：

# Major steps in installing "rpy2":
# Step 1: install R on Jupyter Notebook: conda install -c r r-essentials
# Step 2: install the "rpy2" Python package: pip install rpy2 (you may have to check the version)
# Step 3: create the environment variables: R_HOME, R_USER and R_LIBS_USER 
# you can modify these environment variables in the system settings on your windows PC or use codes to set them every time)

# load the rpy2 module after installation
# Then you will be able to enable R cells within the Python Jupyter Notebook
# run this line in your Jupyter Notebook
%load_ext rpy2.ipython

我的工作是用Python编写ggplot2，所以我做到了：

# now use R to access this dataframe and plot it using ggplot2
# tell Jupyter Notebook that you are going to use R in this cell, and for the "test_data" generated using the Python
%%R -i test_data 
library(ggplot2)

plot <- ggplot(test_data) + 
        geom_point(aes(x,y),size = 20)
plot
ggsave('test.png')

#现在使用R访问此数据帧，并使用ggplot2进行打印
#告诉Jupyter Notebook，您将在这个单元格中使用R，并用于使用Python生成的“test_数据”
%%R-i测试数据
图书馆（GG2）
绘图在运行代码之前，请确保
haven
和
reader
安装在
R内核中

from rpy2.robjects.packages import SignatureTranslatedAnonymousPackage

string = """
         write_sas <- function(file, col_names = TRUE, write_to){
             
             data <- readr::read_csv(file, col_names = col_names)
             haven::write_sas(data, path = write_to)
 print(paste("Data is written to ", write_to))

}
""" 

rwrap = SignatureTranslatedAnonymousPackage(string, "rwrap")

rwrap.write_sas( file = "https://robjhyndman.com/data/ausretail.csv", 
                col_names = False,
                write_to = "~/Downloads/filename.sas7bdat")

从rpy2.robjects.packages导入SignatureTranslatedAnonymous包
string=”“”
您是否尝试过先在R中运行该命令？也许在R studio中，您可以了解出了什么问题。然后，您可以修复并更新python代码。