Fix Python – UnicodeDecodeError when reading CSV file in Pandas with Python

Question

Asked By – TravisVOX

I’m running a program which is processing 30,000 similar files. A random number of them are stopping and producing this error…

File "C:\Importer\src\dfman\importer.py", line 26, in import_chr
     data = pd.read_csv(filepath, names=fields)
File "C:\Python33\lib\site-packages\pandas\io\parsers.py", line 400, in parser_f
     return _read(filepath_or_buffer, kwds)
File "C:\Python33\lib\site-packages\pandas\io\parsers.py", line 205, in _read
     return parser.read()
   File "C:\Python33\lib\site-packages\pandas\io\parsers.py", line 608, in read
     ret = self._engine.read(nrows)
File "C:\Python33\lib\site-packages\pandas\io\parsers.py", line 1028, in read
     data = self._reader.read(nrows)
File "parser.pyx", line 706, in pandas.parser.TextReader.read (pandas\parser.c:6745)
File "parser.pyx", line 728, in pandas.parser.TextReader._read_low_memory (pandas\parser.c:6964)
File "parser.pyx", line 804, in pandas.parser.TextReader._read_rows (pandas\parser.c:7780)
File "parser.pyx", line 890, in pandas.parser.TextReader._convert_column_data (pandas\parser.c:8793)
File "parser.pyx", line 950, in pandas.parser.TextReader._convert_tokens (pandas\parser.c:9484)
File "parser.pyx", line 1026, in pandas.parser.TextReader._convert_with_dtype (pandas\parser.c:10642)
File "parser.pyx", line 1046, in pandas.parser.TextReader._string_convert (pandas\parser.c:10853)
File "parser.pyx", line 1278, in pandas.parser._string_box_utf8 (pandas\parser.c:15657)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xda in position 6: invalid    continuation byte

The source/creation of these files all come from the same place. What’s the best way to correct this to proceed with the import?

Now we will see solution for issue: UnicodeDecodeError when reading CSV file in Pandas with Python


Answer

read_csv takes an encoding option to deal with files in different formats. I mostly use read_csv('file', encoding = "ISO-8859-1"), or alternatively encoding = "utf-8" for reading, and generally utf-8 for to_csv.

You can also use one of several alias options like 'latin' or 'cp1252' (Windows) instead of 'ISO-8859-1' (see python docs, also for numerous other encodings you may encounter).

See relevant Pandas documentation,
python docs examples on csv files, and plenty of related questions here on SO. A good background resource is What every developer should know about unicode and character sets.

To detect the encoding (assuming the file contains non-ascii characters), you can use enca (see man page) or file -i (linux) or file -I (osx) (see man page).

This question is answered By – Stefan

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