Retrieving data formatted as a string from Python

[#1]

Hello,

I have a simple script that sends a variable to Python to run an SQL query ( going through JMP directly somehow is very slow, python is fine).

Anyway, the query runs fine but I can't figure out how to make use of the data generated by Python and format it into a JMP table.

Any suggestions would be greatly appreciated.

I've created a move script which generates the string exactly as produced by a working SQL query in Python.

Thanks

Sebastien

names default to here(1);
clear log();
data="STUDY_ID,STUDYID,SPONSOR_REFERENCE_ID,BASAL_DIET,DOSING_END_DATE,DOSING_START_DATE,EXPERIMENTAL_END_DATE,EXPERIMENTAL_START_DATE,FEEDING_REGIMEN,GLP_FLAG,GLP_TYPE,STUDY_END_DATE,STUDY_START_DATE
3713,5500202,P097-17-01,PMI Crt Primate 5048,,,2018-05-11,2017-11-14,BID (twice per day),Y,OECD,2018-09-26,2017-10-20
3728,8482255,HTTsnp-RS01,,,2022-06-23,,2022-05-26,,N,,,2022-05-25
";
python init();

python send(data);

python submit(
"\[
import pandas as pd	
#I can run a SQL query in JMP but for some reasons , the download is very slow and the table to be retrive fairly lage, whereas using Python is very fast so we are trying that option sincethe query is very simple
#in this mock example 'data'is sent to python from JMP but in a real SQL query the data the data is formated as CSV , see below andretrived using python get
#data = df.to_csv(index=False) #retrieve data in csv format
print(data)
]\"
);

getstr = Python Get( data );	//how to convert a string into a table?

	show( getstr);

	Python Term();

[#2 · Accepted solution]

Is there a reason you are not extracting the data into a Pandas.DataFrame, which can then be directly tranferred into a JMP data table?

See Extending JMP, Work with Python in the Scripting Guide.

[#3]

Thanks for the suggestion. I'll look into it?