Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Some previously-functioning code of mine broke this morning after upgrading to the newest Ubuntu package of Pandas v. 0.9.2. It seems to be a bug in the upgraded read_csv parser. Beyond that, the error message (below) is fairly unhelpful to the uninitiated. Maybe this is a bug, or maybe the new version uses different syntax (although some of the .csv files are able to be imported...).
I am sending a copy of the offending file to Wes, as I've got no quick place to put it.
Some previously-functioning code of mine broke this morning after upgrading to the newest Ubuntu package of Pandas v. 0.9.2. It seems to be a bug in the upgraded read_csv parser. Beyond that, the error message (below) is fairly unhelpful to the uninitiated. Maybe this is a bug, or maybe the new version uses different syntax (although some of the .csv files are able to be imported...).
I am sending a copy of the offending file to Wes, as I've got no quick place to put it.
Thanks, Richard
aHe_df = pd.readcsv('aHe_aliquots.csv')
CParserError Traceback (most recent call last) /home/itchy/ecopetrol/ec-working/data/ in ()
----> 1 aHe_df =pd.read_csv('aHe_aliquots.csv')
/usr/lib/pymodules/python2.7/pandas/io/parsers.pyc in parser_f(filepath_or_buffer, sep, dialect, compression, doublequote, escapechar, quotechar, quoting, skipinitialspace, header, index_col, names, skiprows, skipfooter, skip_footer, na_values, delimiter, converters, dtype, usecols, engine, delim_whitespace, as_recarray, na_filter, compact_ints, use_unsigned, low_memory, buffer_lines, warn_bad_lines, error_bad_lines, keep_default_na, thousands, comment, parse_dates, keep_date_col, dayfirst, date_parser, memory_map, nrows, iterator, chunksize, verbose, encoding, squeeze) 361 buffer_lines=buffer_lines) 362 --> 363 return _read(filepath_or_buffer, kwds) 364 365 parser_f.name = name
/usr/lib/pymodules/python2.7/pandas/io/parsers.pyc in _read(filepath_or_buffer, kwds) 185 186 # Create the parser.
--> 187 parser = TextFileReader(filepath_or_buffer, **kwds) 188 189 if nrows is not None:
/usr/lib/pymodules/python2.7/pandas/io/parsers.pyc in init(self, f, engine, **kwds) 465 self.options, self.engine = self._clean_options(options, engine) 466 --> 467 self._make_engine(self.engine) 468 469 def _get_options_with_defaults(self, engine):
/usr/lib/pymodules/python2.7/pandas/io/parsers.pyc in _make_engine(self, engine) 567 def _make_engine(self, engine='c'): 568 if engine == 'c': --> 569 self._engine = CParserWrapper(self.f, **self.options) 570 else: 571 if engine == 'python':
/usr/lib/pymodules/python2.7/pandas/io/parsers.pyc in init(self, src, _kwds) 787 ParserBase.init(self, kwds) 788 --> 789 self._reader = _parser.TextReader(src, _kwds) 790 791 # XXX
/usr/lib/pymodules/python2.7/pandas/_parser.so in pandas._parser.TextReader.cinit (pandas/src/parser.c:3357)()
/usr/lib/pymodules/python2.7/pandas/_parser.so in pandas._parser.TextReader._get_header (pandas/src/parser.c:4283)()
/usr/lib/pymodules/python2.7/pandas/_parser.so in pandas._parser.TextReader._tokenize_rows (pandas/src/parser.c:5731)()
/usr/lib/pymodules/python2.7/pandas/_parser.so in pandas._parser.raise_parser_error (pandas/src/parser.c:13774)()
CParserError: Error tokenizing data. C error: no error message set