Just paste your Insert SQL statement or drag-and-drop your SQL file into the textarea of Data Source, and it will immediately perform the magic of the conversion.
Edit your data online like Excel through Table Editor, and the changes will be converted into Pandas DataFrame in real-time.
Just copy the generated pandas data frame code in Table Generator, and paste it into your Python script for testing.
Note: Your data is secure. All conversions are done in your web browser, and we do not store any of your data.
SQL stands for Structured Query Language. It is used for storing, retrieving, managing and manipulating data in relational database management system (RDMS).
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).