R和Python在一个Jupyter笔记本中 [英] R and Python in one Jupyter notebook

问题描述

是否可以在同一个Jupyter笔记本中运行R和Python代码。什么是可用的替代品？

Is it possible to run R and Python code in the same Jupyter notebook. What are all the alternatives available?

1. 在Jupyter中安装r-essentials并创建R笔记本。


2. 安装rpy2并使用rmagic函数。


3. 使用烧杯笔记本。

以上哪项3个选项可靠运行Python和R代码片段（共享变量和可视化）或者是否有更好的选择？

Which of above 3 options is reliable to run Python and R code snippets (sharing variables and visualizations) or is there a better option already?

推荐答案

对的，这是可能的！使用rpy2。

Yes, it is possible! Use rpy2.

您可以安装rpy2： pip install rpy2

You can install rpy2 with: pip install rpy2

然后在你的一个单元格中运行％load_ext rpy2.ipython 。 （您只需运行一次。）

Then run %load_ext rpy2.ipython in one of your cells. (You only have to run this once.)

现在您可以执行以下操作：

Now you can do the following:

Python单元格：

Python cell:

# enables the %%R magic, not necessary if you've already done this
%load_ext rpy2.ipython

import pandas as pd
df = pd.DataFrame({
    'cups_of_coffee': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
    'productivity': [2, 5, 6, 8, 9, 8, 0, 1, 0, -1]
})

R cell：

R cell:

%%R -i df -w 5 -h 5 --units in -r 200
# import df from global environment
# make default figure size 5 by 5 inches with 200 dpi resolution

install.packages("ggplot2", repos='http://cran.us.r-project.org', quiet=TRUE)
library(ggplot2)
ggplot(df, aes(x=cups_of_coffee, y=productivity)) + geom_line()

而且你将从python Pandas DataFrame中获得你的漂亮图形数据。

And you'll get your pretty figure plotting data from a python Pandas DataFrame.

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