Reputation: 8816
I'm getting into the below error while trying to read a pdf file with tabula(tabula-py).
Is there a way to read pdf in python like pandas or some other libs?
please suggest.
>>> from tabula import read_pdf
>>> df = read_pdf('OpTransactionHistory28-08-2018.pdf')
Aug 29, 2018 10:40:27 AM org.apache.pdfbox.pdmodel.font.FileSystemFontProvider loadDiskCache
WARNING: New fonts found, font cache will be re-built
Aug 29, 2018 10:40:27 AM org.apache.pdfbox.pdmodel.font.FileSystemFontProvider <init>
WARNING: Building on-disk font cache, this may take a while
Aug 29, 2018 10:40:32 AM org.apache.pdfbox.pdmodel.font.FileSystemFontProvider <init>
WARNING: Finished building on-disk font cache, found 328 fonts
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/karn/.local/lib/python3.6/site-packages/tabula/wrapper.py", line 119, in read_pdf
return pd.read_csv(io.BytesIO(output), **pandas_options)
File "/home/karn/.local/lib/python3.6/site-packages/pandas/io/parsers.py", line 678, in parser_f
return _read(filepath_or_buffer, kwds)
File "/home/karn/.local/lib/python3.6/site-packages/pandas/io/parsers.py", line 446, in _read
data = parser.read(nrows)
File "/home/karn/.local/lib/python3.6/site-packages/pandas/io/parsers.py", line 1036, in read
ret = self._engine.read(nrows)
File "/home/karn/.local/lib/python3.6/site-packages/pandas/io/parsers.py", line 1848, in read
data = self._reader.read(nrows)
File "pandas/_libs/parsers.pyx", line 876, in pandas._libs.parsers.TextReader.read
File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._read_low_memory
File "pandas/_libs/parsers.pyx", line 945, in pandas._libs.parsers.TextReader._read_rows
File "pandas/_libs/parsers.pyx", line 932, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 2112, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 8 fields in line 4, saw 9
One way around i see is pdftotext
conversion..
$ pdftotext OpTransactionHistory28-08-2018.pdf
Just looked upon the provide link by @ace and found something relevant:
>>> from tabula import read_pdf
>>> df = read_pdf('OpTransactionHistory28-08-2018.pdf', pages='all', encoding='ISO-8859-1', multiple_tables=True)
Upvotes: 1
Views: 5447
Reputation: 495
The error of pandas layer often could be caused by the difference in column numbers between tables, since pandas try to extract one DataFrame from tabula-java output. Using multiple_tables=True
can avoid this restriction since tabula-py aware boundary of tables.
I also noted this related error but seems different from what I saw. https://github.com/chezou/tabula-py#i-faced-cparsererror-how-can-i-extract-multiple-tables
It would be much appreciated if you can provide your pandas version.
Upvotes: 1