Reputation: 134
I am trying to read a CSV file from google drive with pandas library.
However, I've got a problem "UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa3 in position 28: invalid start byte"
My code
df = pd.read_csv("/content/gdrive/My Drive/data/OnlineRetail.csv")
Output
---------------------------------------------------------------------------
UnicodeDecodeError Traceback (most recent call last)
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._convert_tokens()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._convert_with_dtype()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._string_convert()
pandas/_libs/parsers.pyx in pandas._libs.parsers._string_box_utf8()
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa3 in position 28: invalid start byte
During handling of the above exception, another exception occurred:
UnicodeDecodeError Traceback (most recent call last)
<ipython-input-6-65a06557fa8d> in <module>()
----> 1 df = pd.read_csv("/content/gdrive/My Drive/data/OnlineRetail.csv")
3 frames
/usr/local/lib/python3.7/dist-packages/pandas/io/parsers.py in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision)
686 )
687
--> 688 return _read(filepath_or_buffer, kwds)
689
690
/usr/local/lib/python3.7/dist-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
458
459 try:
--> 460 data = parser.read(nrows)
461 finally:
462 parser.close()
/usr/local/lib/python3.7/dist-packages/pandas/io/parsers.py in read(self, nrows)
1196 def read(self, nrows=None):
1197 nrows = _validate_integer("nrows", nrows)
-> 1198 ret = self._engine.read(nrows)
1199
1200 # May alter columns / col_dict
/usr/local/lib/python3.7/dist-packages/pandas/io/parsers.py in read(self, nrows)
2155 def read(self, nrows=None):
2156 try:
-> 2157 data = self._reader.read(nrows)
2158 except StopIteration:
2159 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._convert_column_data()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._convert_tokens()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._convert_with_dtype()
pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._string_convert()
pandas/_libs/parsers.pyx in pandas._libs.parsers._string_box_utf8()
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa3 in position 28: invalid start byte
Upvotes: 6
Views: 28248
Reputation: 21
I met this situation(0xa3 issue) before, and I think this is an encoding issue.
If your encoding is set with 'utf-8' or 'gbk', then you can try encoding='ISO-8859-1'
.
Good luck!
Upvotes: 1
Reputation: 21
I've just had the same issue. CSV file written out by an online service. Opened in Atom notebook, encoding is UTF-8. But you count to the character which it identifies and it was "�" when it should have been "£". Find and replace all, and it is fixed.
Good luck.
Upvotes: 2
Reputation: 31
Had the same issue. It may be not utf-8 encoding. Try to figure out what is it. You can do this by oening it in Notepad++.There are encoding menu on the top, look what is picked.
Upvotes: 2