Created
December 13, 2017 15:20
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| # reading table using tabula | |
| rows = tabula.read_pdf(filepath, | |
| pages='all', | |
| silent=True, | |
| pandas_options={ | |
| 'header': None, | |
| 'error_bad_lines': False, | |
| 'warn_bad_lines': False | |
| }) | |
| # converting to list | |
| rows = rows.values.tolist() |
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Hi Samkit,
I followed your article to build a similar analyser. But to me it does not seem as simple as it seems in the article. Hence just confirming, with the above given snippet, are you able to get all the relevant data or there are some (for me many) missing data points. Also in most statements tabula is not able to find the table at all, hence I used the area option, which was different for every bank. Please let me understand if this is actually what worked with you for 90% accuracy?