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While the run without --profit works without problems, profit calculation is encountering ParserError every time!
$ python csv-export.py --profit
Username:
Password:
MFA:
Generated device token:
Pulling trades. Please wait...
0 queued trades and 473 executed trades found in your account.
Choose a filename or press enter to save to `robinhood.csv`:
What is your tax multiplier -default 0.25 (25%) ?
Traceback (most recent call last):
File "D:\python\robinhood-to-csv\csv-export.py", line 238, in <module>
profit_csv = profit_extractor(csv, filename)
File "D:\python\robinhood-to-csv\profit_extractor.py", line 20, in profit_extractor
handle_raw = pd.read_csv(filename)
File "D:\python\robinhood-to-csv\env\lib\site-packages\pandas\util\_decorators.py", line 311, in wrapper
return func(*args, **kwargs)
File "D:\python\robinhood-to-csv\env\lib\site-packages\pandas\io\parsers\readers.py", line 680, in read_csv
return _read(filepath_or_buffer, kwds)
File "D:\python\robinhood-to-csv\env\lib\site-packages\pandas\io\parsers\readers.py", line 581, in _read
return parser.read(nrows)
File "D:\python\robinhood-to-csv\env\lib\site-packages\pandas\io\parsers\readers.py", line 1254, in read
index, columns, col_dict = self._engine.read(nrows)
File "D:\python\robinhood-to-csv\env\lib\site-packages\pandas\io\parsers\c_parser_wrapper.py", line 225, in read
chunks = self._reader.read_low_memory(nrows)
File "pandas\_libs\parsers.pyx", line 805, in pandas._libs.parsers.TextReader.read_low_memory
File "pandas\_libs\parsers.pyx", line 861, in pandas._libs.parsers.TextReader._read_rows
File "pandas\_libs\parsers.pyx", line 847, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas\_libs\parsers.pyx", line 1960, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 55 fields in line 237, saw 57
Python Info
$ python -V
Python 3.10.4
The text was updated successfully, but these errors were encountered:
While the run without
--profit
works without problems, profit calculation is encounteringParserError
every time!Python Info
The text was updated successfully, but these errors were encountered: