Just paste (copy html source code from a browser) or drag-and-drop your HTML file into the textarea of Data Source, and it will immediately perform the magic of the conversion. The HTML table converter will automatically search for tables from the html source code you provide.
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.
HTML stands for Hypertext Markup Language. HTML is the code that is used to structure a web page and its content, paragraphs, list, images and tables etc.
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).