Ua ntej siv cov JSON hloov pauv, thov nco ntsoov tias koj JSON yog nyob rau hauv hom ntawm ib qho khoom ntawm cov khoom. Nyem JSON Piv txwv li in [Cov Ntaub Ntawv Tau](#DataSource) panel kom saib cov demo. Tau kawg, ntxiv rau kev ntxiv rau yav dhau los, koj tuaj yeem nyem
upload 1_5_ lossis luag-thiab-poob koj JSON cov ntaub ntawv.
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.
JSON sawv ntsug rau JavaScript cov lus ceeb toom. JSON Cov ntaub ntawv yog hom ntawv nyeem ua qauv rau cov ntaub ntawv sawv cev raws li JavaScript Equinft.
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).