I am simply read in a csv file

df = pd.read_csv(r'wl.csv', nrows = 5)

and got this error:

---------------------------------------------------------------------------
UnicodeDecodeError                        Traceback (most recent call last)
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_tokens (pandas\_libs\parsers.c:14858)()

pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_with_dtype (pandas\_libs\parsers.c:17119)()

pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._string_convert (pandas\_libs\parsers.c:17347)()

pandas\_libs\parsers.pyx in pandas._libs.parsers._string_box_utf8 (pandas\_libs\parsers.c:23041)()

UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa0 in position 0: invalid start byte

During handling of the above exception, another exception occurred:

UnicodeDecodeError                        Traceback (most recent call last)
<ipython-input-11-2be307125a25> in <module>()
----> 1 df = pd.read_csv(r'wl_2011.csv')

C:\Users\hsong01\AppData\Local\Continuum\Anaconda\lib\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)
    653                     skip_blank_lines=skip_blank_lines)
    654 
--> 655         return _read(filepath_or_buffer, kwds)
    656 
    657     parser_f.__name__ = name

C:\Users\hsong01\AppData\Local\Continuum\Anaconda\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds)
    409 
    410     try:
--> 411         data = parser.read(nrows)
    412     finally:
    413         parser.close()

C:\Users\hsong01\AppData\Local\Continuum\Anaconda\lib\site-packages\pandas\io\parsers.py in read(self, nrows)
    980                 raise ValueError('skipfooter not supported for iteration')
    981 
--> 982         ret = self._engine.read(nrows)
    983 
    984         if self.options.get('as_recarray'):

C:\Users\hsong01\AppData\Local\Continuum\Anaconda\lib\site-packages\pandas\io\parsers.py in read(self, nrows)
   1717     def read(self, nrows=None):
   1718         try:
-> 1719             data = self._reader.read(nrows)
   1720         except StopIteration:
   1721             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:11138)()

pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._read_rows (pandas\_libs\parsers.c:12175)()

pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_column_data (pandas\_libs\parsers.c:14136)()

pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_tokens (pandas\_libs\parsers.c:14972)()

pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._convert_with_dtype (pandas\_libs\parsers.c:17119)()

pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._string_convert (pandas\_libs\parsers.c:17347)()

pandas\_libs\parsers.pyx in pandas._libs.parsers._string_box_utf8 (pandas\_libs\parsers.c:23041)()

UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa0 in position 0: invalid start byte

However, my csv file was encoded as utf-8.

And I can read it successfully with read.table in R. Can someone let me know what is the reason?

Comment From: chris-b1

Your file likely isn't valid UTF-8. Try a different encoding, based on this SO answer perhaps 'latin1' https://stackoverflow.com/questions/10993612/python-removing-xa0-from-string

Comment From: jreback

question like this should first start on SO