A Python Library to extract tabular data from PDFs

Cool! That's a good intro too.

Many people don't realise the general weird disconnect in PDFs between real content and what you see on the screen that makes it hard to recover source data. In extreme cases you have subset fonts with glyphs ordered completely differently from how they are in the original and no mapping back to the character they represent. Then the graphics stream is instructions to draw glyphs at coordinates. As you can imagine it's quite a battle to get back to something "raw" (assuming you even had fonts to start with).

This is a really good example of how to briefly introduce/sell a library. What it does, why, how, how to install it, with concrete examples.

This is a very interesting software. In research community still many results are only in pdf tables in papers, so obtaining them in dataframe is very useful, good job!. By the way, I would like export also in Excel files in the command line.

I assumed that you're talking about page 33 in the first PDF, since it has only 225 pages. I extracted Figure 6-23 from it and the table on page 45 in the second PDF. Here's a gist: https://gist.github.com/vinayak-mehta/cf30a5560f1b8ab4c0b25e...

Yes, Camelot takes care of cells spanning multiple columns! You can check out the Advanced Usage section for explanation on the keyword arguments I used in the gist! https://camelot-py.readthedocs.io/en/master/user/advanced.ht...