How to convert Python Pandas Dataframe to R data.frame -


i'm using r package pythoninr, , wanted convert pandas dataframe r dataframe using function pyget(), got error below:

error in as.data.frame.default(xi, optional = true, stringsasfactors = stringsasfactors) : cannot coerce class ""pythonobject"" data.frame

the text.csv file contains 2 columns, name(string) , value(int). code below:

library(pythoninr)  pyconnect()  pyisconnected()  pyversion() pyoptions("usepandas", true)  pyimport("pandas", as="pd")  test_code <-'py_df = pd.read_csv("test.csv")'  pyexec(code = test_code)  r_df <- pyget("py_df")

and output of code is:

library(pythoninr) pyconnect() r connected python! pyisconnected() [1] true pyversion() [1] "3.6.2 (v3.6.2:5fd33b5, jul  8 2017, 04:57:36) [msc v.1900 64 bit (amd64)]" pyoptions("usepandas", true) pyimport("pandas", as="pd") test_code <- 'py_df = pd.read_csv("test.csv")' pyexec(code = test_code) r_df <- pyget("py_df")

error in as.data.frame.default(x[[i]], optional = true, stringsasfactors = stringsasfactors) : cannot coerce class ""pythonobject"" data.frame

can suggest how convert pandas data frame r data.frame using pythoninr?

you use json. pandas dataframe has to_json method , can use rjson r package read json string using fromjson.

you may find this , this interesting. planning submit cran soon, need more testing.


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