你好，
我有一个简单的脚本，它向 Python 发送一个变量来运行 SQL 查询（以某种方式直接通过 JMP 非常慢，python 很好）。
无论如何，查询运行良好，但我不知道如何利用 Python 生成的数据并将其格式化为 JMP 表。
任何建议将不胜感激。
我创建了一个移动脚本，它生成的字符串与 Python 中的工作 SQL 查询生成的字符串完全相同。
谢谢
塞巴斯蒂安
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();
