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This sounds neat. Thanks for the work, vortex_ape and others. When I last needed this, I used tabula via tabula-py. Tried camelot on the PDF [0] I worked on and

This sounds neat. Thanks for the work, vortex_ape and others. When I last needed this, I used tabula via tabula-py. Tried camelot on the PDF [0] I worked on and unfortunately the default option returned less-workable dataframe than tabula-py. I think it's just the area detection of stream and you are working on it anyway so I'm really looking forward to see the results. btw, I think the pip install requirements missed opencv-python (on Windows?). And in this doc [2], it should be "top left and bottom right" instead of "left-top and right-bottom". [1] https://www.boj.or.jp/en/statistics/set/kess/release/2018/kess1808.pdf https://www.boj.or.jp/en/statistics/set/kess/release/2018/ke... [2] https://camelot-py.readthedocs.io/en/master/user/advanced.html#specify-table-areas https://camelot-py.readthedocs.io/en/master/user/advanced.ht...

vortex_ape 8y ago
Hey squaresmile! Yes, right now table detection with Stream doesn't work nicely if the table is not present on the full page, for which you can use the table_area kwarg from [2]. You should use "pip install camelot-py[all]" to install Camelot (which will install opencv-python too). I had to take it out of the requirements since it wasn't available in any conda channels while I was creating the conda package. I'm looking to remove opencv as a requirement altogether by either vendorizing the opencv code that is being used inside Camelot or reimplementing the code using something lightweight like pillow. Thanks for the catch in [2], I'll correct it!
kumartanmay 8y ago
Are you also working on extracting tabular data from scanned image files?