将 rpy2 与 pandas 数据框一起使用

Question

我想将一些 R 函数应用到 pandas 数据帧

df = pd.DataFrame( np.random.randn(5,2), # 5 rows, 2 columns
               columns = ["A","B"], # name of columns
               index = ["Max", "Nathy", "Tom", "Joe", "Kathy"] )

我如何应用 R 中的汇总函数？

我有以下代码：

import numpy as np
import pandas as pd

import rpy2
# print(rpy2.__version__) ## 2.9.4

from rpy2.rinterface import R_VERSION_BUILD
# print(R_VERSION_BUILD) ## ('3', '5.1', '', 74947)

from rpy2.robjects.packages import importr
# import R's "base" package
base = importr('base')

Answer 1

你快到了。为了运行 R 函数，您需要将 pandas Dataframe 转换为 R Dataframe。一旦我们有了 R 对象，我们就可以调用函数，如下所示。

import rpy2
from rpy2.robjects.packages import importr # import R's "base" package
base = importr('base')

from rpy2.robjects import pandas2ri # install any dependency package if you get error like "module not found"
pandas2ri.activate()

# Create pandas df
df = pd.DataFrame( np.random.randn(5,2), # 5 rows, 2 columns
               columns = ["A","B"], # name of columns
               index = ["Max", "Nathy", "Tom", "Joe", "Kathy"] )

# Convert pandas to r
r_df = pandas2ri.py2ri(df)
type(r_df)

#calling function under base package
print(base.summary(r_df))

将 rpy2 与 pandas 数据框一起使用

Use rpy2 with pandas dataframe

r

python-3.x

pandas

dataframe

rpy2