Yog tias koj tau nug cov ntaub ntawv hauv MySQL hais kom ua, tsuas yog muab tshuaj txhuam koj lub mySQL_1, thiab nws yuav ua qhov hloov pauv tshiab tam sim ntawd. Lub khawm `Qhov qauv ‘yog kev coj ua zoo.
Koj tuaj yeem hloov kho koj cov ntaub ntawv online xws li Excel los ntawm Rooj Editor, thiab cov kev hloov pauv yuav hloov mus rau hauv Pandas DataFrame_3] hauv lub sijhawm tiag tiag.
Just copy the generated pandas data frame code in Table Generator, and paste it into your Python script for testing.
NCO TSEG: Koj cov ntaub ntawv muaj kev nyab xeeb, cov neeg hloov siab los yog ua tiav hauv koj lub vev xaib thiab peb yuav tsis khaws koj cov ntaub ntawv.
MySQL yog cov kev tswj hwm cov txheej txheem database (Rdbms) tsim los ntawm Oracle uas yog ua raws cov lus nug kev ua haujlwm (SQL). Ib daim ntawv teev npe yog cov qauv sau los ntawm cov ntaub ntawv.
Pandas DataFrame is a data structure in Python that is part of the pandas library. It is designed for data manipulation and analysis, providing labeled axes (rows and columns).