The best way to import R object into Python?
I know that there is a Python package that imports RData file.
But I was wondering if that is the best option for me.
I have Dataframes in R that I want to use in Python.
I was wondering if I should save this as json or csv and then read with pandas in Python, or I should just save it as RData and use the rpy2 package.
All I need is just turn these R dataframes into Python data frame, so I can manipulate and combine with other results I calculated in Python...
You can use feather .
It's a data format for data frames (created by @Wes McKinney and @hadley ) to make data sharing between R and python easy (and some other languages too).
In R :
library(feather)
file_path <- "foo.feather"
data_frame <- read_feather(file_path)
write_feather(data_frame, file_path)
In python :
import feather
file_path = 'foo.feather'
data_frame = feather.read_dataframe(file_path)
feather.write_dataframe(data_frame, file_path)
PS.: Podcast on feather where authors discuss it's application, pros/cons and future.
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