Before using the JSON converter, please make sure that your JSON is in the format of an array of objects. Click JSON Example in Data Source panel to view the demo. Of course, in addition to pasting, you can also click Upload JSON or drag-and-drop your JSON file.
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.
JSON stands for JavaScript Object Notation. JSON file is a text-based format for representing structured data based on JavaScript object syntax.
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).