【问题标题】:UnicodeDecodeError reading a CSV fileUnicodeDecodeError 读取 CSV 文件
【发布时间】:2018-10-24 20:00:45
【问题描述】:

我使用以下代码读取 CSV 文件:

address=r'C:\Users\ssadangi\Desktop\Lynda Python data analytics\Ch02\02_05\Superstore-Sales.csv'
df=pd.read_csv(address,index_col='Order Date',parse_dates=True)

代码给了我这个错误:

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 0xae in position 16: invalid start byte

在处理上述异常的过程中,又发生了一个异常:

UnicodeDecodeError                        Traceback (most recent call last)
<ipython-input-28-3fa20db347ab> in <module>()
----> 1 df=pd.read_csv('Superstore-Sales.csv',index_col='Order Date',parse_dates=True)
~\Documents\Softwares\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)
    707                     skip_blank_lines=skip_blank_lines)
    708 
--> 709         return _read(filepath_or_buffer, kwds)
    710 
    711     parser_f.__name__ = name
~\Documents\Softwares\Anaconda\lib\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()
~\Documents\Softwares\Anaconda\lib\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'):
~\Documents\Softwares\Anaconda\lib\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._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 0xae in position 16: invalid start byte

【问题讨论】:

  • 没有原始数据,没有多少人可以告诉你。
  • 欢迎来到 Stack Overflow!我已经使用格式代码编辑了您的问题以提高可读性(有关格式的更多信息,请参阅the editing help)。我还尝试让标题更友好,并添加了 [python] 标签——您应该始终使用基本语言标签。
  • 考虑编辑您的问题并添加导致错误的 CSV 文件部分 - 尝试删除部分 CSV 文件以使其尽可能短但仍会导致错误,然后向我们展示.
  • Tre 设置编码 例如:encoding='latin1'encoding='iso-8859-1'
  • 感谢您编辑问题@Cris Luengo。这是我在 Stack Overflow 的第一次。我尝试使用格式化代码,但似乎不起作用(甚至标记似乎也不起作用)。网络或浏览器的一些问题。通过设置encoding='ansi' 解决。谢谢@Rakesh

标签: python python-3.x csv parsing python-unicode


【解决方案1】:

当您使用 pd.read_csv() 函数时,这是编码错误,您还必须定义编码

address=r'C:\Users\ssadangi\Desktop\Lynda Python data analytics\Ch02\02_05\Superstore-Sales.csv'
df=pd.read_csv(address,index_col='Order Date',parse_dates=True,encoding='latin1') #here i am using encoding attribute

【讨论】:

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