Usage of - df1 = result["df1"] # extract the pandas data frame for object df1

[BNSBNS]

Hi
Many thanks for the great work here.
I am new to the python and pandas world, and having alittle issue understanding the line above on the expected outcome.

Can you please provide some examples on the expected flow of things here ? I am attempting to read the dataset from Introduction to Statistical Learning in R from https://cran.r-project.org/web/packages/ISLR2/index.html

Thank you.

[ofajardo]

The issue has been converted to a discussion, as I don't think there is any issue with the package, and you are just requesting information.

The way to deal with this is descrived in the README of the repo (please read it). Basically, pyreadr will give you back a python dictionary, you can print what keys you have in that dictionary so that you can retrieve the dataframes. If you are not familiar with dictionaries, please read a bit about them, they are very important. Most likely there is no object df1 among your keys.

Again, from the README:

import pyreadr

result = pyreadr.read_r('test_data/basic/two.RData')
print(result.keys()) # let's check what objects we got # YOU HAVE TO DO THIS! if you don't know how the objects are named
# depending on what keys you get you can move to the next step. 
# let's imagine it prints : 
# ['Boston']
df1 = result["Boston"] # extract the pandas data frame for object Boston

[BNSBNS]

Hi Ofajardo, thank you. This has been extremely helpful and will take up your advise on getting familiar with the topic. I see that in read_r function now that it converted to a dataframe. NICE.
If you have more kind inputs for my improvement, please feel free to add at any time.

Cheers.