Hey! For *how to extract data from a table in python*, pandas is the way to go for Excel/CSV. For HTML, `pd.read_html()` is super handy, but if the tables are nested, you might need to do some manual parsing.
For PDFs, Camelot is great for clean tables, but if they’re messy, PDFPlumber is the better option. It’s more flexible and can handle weird layouts.
Also, if you’re dealing with nested tables, you might need to write some custom code to parse them properly. It’s a bit of a hassle, but it’s doable.
Good luck!
For PDFs, Camelot is great for clean tables, but if they’re messy, PDFPlumber is the better option. It’s more flexible and can handle weird layouts.
Also, if you’re dealing with nested tables, you might need to write some custom code to parse them properly. It’s a bit of a hassle, but it’s doable.
Good luck!
