I am new to data science. I want to apply preprocessing to my dataset in Jupyter Notebook. Here is what I have done so far:
import pandas as pd
import numpy as np
from sklearn import preprocessing
country = pd.read_csv('data.csv', encoding='utf_8')
But it gives me this error:
---------------------------------------------------------------------------
ParserError Traceback (most recent call last)
<ipython-input-19-80e6ff7ff11c> in <module>()
----> 1 country = pd.read_csv('data.csv', encoding='utf_8')
/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py 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)
707 skip_blank_lines=skip_blank_lines)
708
--> 709 return _read(filepath_or_buffer, kwds)
710
711 parser_f.__name__ = name
/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
453
454 try:
--> 455 data = parser.read(nrows)
456 finally:
457 parser.close()
/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in read(self, nrows)
1067 raise ValueError('skipfooter not supported for iteration')
1068
-> 1069 ret = self._engine.read(nrows)
1070
1071 if self.options.get('as_recarray'):
/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in read(self, nrows)
1837 def read(self, nrows=None):
1838 try:
-> 1839 data = self._reader.read(nrows)
1840 except StopIteration:
1841 if self._first_chunk:
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.read()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._read_low_memory()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._read_rows()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._tokenize_rows()
pandas/_libs/parsers.pyx in pandas._libs.parsers.raise_parser_error()
ParserError: Error tokenizing data. C error: Expected 3 fields in line 5, saw 63
I have also tried some other encodings such as: latin1, iso-8859-1 and more
