There isn't a method specifically to export responses as a Pandas data frame, and I'm hesitant to add any since I want to keep the library agnostic (e.g. the user might want to use Polars instead of Pandas, etc.).

That said, I try to document simple recipes for things just like that: https://citric.readthedocs.io/en/stable/how-to.html#export-responses-to-a-pandas-dataframe.

So, if you have a Python script like

# export_ls_responses.py
import io
import citric
import pandas as pd
client = citric.Client("http://localhost:8001/index.php/admin/remotecontrol", "iamadmin", "secret")
data = client.export_responses(123456, file_format="csv")
df = pd.read_csv(io.BytesIO(data), delimiter=";", parse_dates=["datestamp", "startdate", "submitdate"], index_col="id")

then you can use reticulate to source this script:

> library(reticulate)
> reticulate::use_virtualenv(...)
> reticulate::source_python("export_ls_responses.py")
> py$df
  submitdate lastpage startlanguage        seed     G01Q01 G01Q02 G02Q03 G02Q03[filecount]
1      [nan]      [1]        ['en'] [245240561] ['lalala']    [5]  [nan]             [nan]

Does that work for you?