are there any requirements about the format of the CSV file when using read_csv from pandas? For example, is it necessary that the csv file has to have same number of columns in every line etc.
I am trying to load a csv file and I get the following error. I really don't know what the issue is ... Any help is appreciated ... ParserErrorTraceback (most recent call last) D:\Projects\Initiatives\machine learning\programs\log\log_analysis_1.py in <module>() 10 11 #data_df = pd.read_csv("BGL_MERGED.log", nrows=100, header=None, delimiter=r'\s"') ---> 12 data_df = pd.read_csv("d:\Projects\Initiatives\machine learning\programs\log\BGL_MERGED.log", nrows=100, header=None) 13 logger.debug("data frame %s \n", data_df) 14 print('Cols %d' %(len(data_df.columns))) D:\Users\sharanb\AppData\Local\Enthought\Canopy\edm\envs\User\lib\site-packages\pandas\io\parsers.pyc in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, skip_footer, doublequote, delim_whitespace, as_recarray, compact_ints, use_unsigned, low_memory, buffer_lines, memory_map, float_precision) 653 skip_blank_lines=skip_blank_lines) 654 --> 655 return _read(filepath_or_buffer, kwds) 656 657 parser_f.__name__ = name D:\Users\sharanb\AppData\Local\Enthought\Canopy\edm\envs\User\lib\site-packages\pandas\io\parsers.pyc in _read(filepath_or_buffer, kwds) 409 410 try: --> 411 data = parser.read(nrows) 412 finally: 413 parser.close() D:\Users\sharanb\AppData\Local\Enthought\Canopy\edm\envs\User\lib\site-packages\pandas\io\parsers.pyc in read(self, nrows) 1003 raise ValueError('skipfooter not supported for iteration') 1004 -> 1005 ret = self._engine.read(nrows) 1006 1007 if self.options.get('as_recarray'): D:\Users\sharanb\AppData\Local\Enthought\Canopy\edm\envs\User\lib\site-packages\pandas\io\parsers.pyc in read(self, nrows) 1746 def read(self, nrows=None): 1747 try: -> 1748 data = self._reader.read(nrows) 1749 except StopIteration: 1750 if self._first_chunk: pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.read (pandas\_libs\parsers.c:10862)() pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._read_low_memory (pandas\_libs\parsers.c:11343)() pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._read_rows (pandas\_libs\parsers.c:11884)() pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._tokenize_rows (pandas\_libs\parsers.c:11755)() pandas/_libs/parsers.pyx in pandas._libs.parsers.raise_parser_error (pandas\_libs\parsers.c:28765)() ParserError: Error tokenizing data. C error: Expected 1 fields in line 8, saw 3 -- https://mail.python.org/mailman/listinfo/python-list