Before you start using the XML converter, double check to make sure your XML is formatted as an array of objects. You can check out a demo by clicking the Example in the Data Source section. And remember, you can also upload your XML by clicking Upload XMl or simply dragging and dropping it.
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.
XML stands for eXtensible Markup Language. XML file is a markup language much like HTML and it was designed to store and transport data.
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).