python - 在 Pandas 中读取 csv 文件时出现 UnicodeDecodeError : 'utf-8' codec can't decode byte 0x8b in position 1: invalid start byte,

Question

我知道已经有人问过类似的问题，我已经看过所有这些问题并尝试过，但帮助不大。我正在使用 OSX 10.11 El Capitan，python3.6。，虚拟环境，也尝试过没有。我正在使用 jupyter notebook 和 spyder3。

我是 Python 新手，但了解基本的 ML 并关注一篇博文以了解如何解决 Kaggle 挑战:Link to Blog , Link to Data Set

.我被困在前几行代码
`

import pandas as pd

destinations = pd.read_csv("destinations.csv")
test = pd.read_csv("test.csv")
train = pd.read_csv("train.csv")

它给了我错误

UnicodeDecodeError                        Traceback (most recent call last)
<ipython-input-19-a928a98eb1ff> in <module>()
      1 import pandas as pd
----> 2 df = pd.read_csv('destinations.csv', compression='infer',date_parser=True, usecols=([0,1,3]))
      3 df.head()

/usr/local/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)
    653                     skip_blank_lines=skip_blank_lines)
    654 
--> 655         return _read(filepath_or_buffer, kwds)
    656 
    657     parser_f.__name__ = name

/usr/local/lib/python3.6/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
    403 
    404     # Create the parser.
--> 405     parser = TextFileReader(filepath_or_buffer, **kwds)
    406 
    407     if chunksize or iterator:

/usr/local/lib/python3.6/site-packages/pandas/io/parsers.py in __init__(self, f, engine, **kwds)
    762             self.options['has_index_names'] = kwds['has_index_names']
    763 
--> 764         self._make_engine(self.engine)
    765 
    766     def close(self):

/usr/local/lib/python3.6/site-packages/pandas/io/parsers.py in _make_engine(self, engine)
    983     def _make_engine(self, engine='c'):
    984         if engine == 'c':
--> 985             self._engine = CParserWrapper(self.f, **self.options)
    986         else:
    987             if engine == 'python':

/usr/local/lib/python3.6/site-packages/pandas/io/parsers.py in __init__(self, src, **kwds)
   1603         kwds['allow_leading_cols'] = self.index_col is not False
   1604 
-> 1605         self._reader = parsers.TextReader(src, **kwds)
   1606 
   1607         # XXX

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.__cinit__ (pandas/_libs/parsers.c:6175)()

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._get_header (pandas/_libs/parsers.c:9691)()

UnicodeDecodeError: 'utf-8' codec can't decode byte 0x8b in position 1: invalid start byte

stakoverflow 上的一些答案表明这是因为它被 gzipped，但 Chrome 下载了 .csv 文件并且 .csv.gz 无处可见并返回文件未找到错误。

然后我在某处阅读以使用 encoding='latin1' ，但这样做后，我收到解析器错误:

---------------------------------------------------------------------------
ParserError                               Traceback (most recent call last)
<ipython-input-21-f9c451f864a2> in <module>()
      1 import pandas as pd
      2 
----> 3 destinations = pd.read_csv("destinations.csv",encoding='latin1')
      4 test = pd.read_csv("test.csv")
      5 train = pd.read_csv("train.csv")

/usr/local/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)
    653                     skip_blank_lines=skip_blank_lines)
    654 
--> 655         return _read(filepath_or_buffer, kwds)
    656 
    657     parser_f.__name__ = name

/usr/local/lib/python3.6/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()

/usr/local/lib/python3.6/site-packages/pandas/io/parsers.py in read(self, nrows)
   1003                 raise ValueError('skipfooter not supported for iteration')
   1004 
-> 1005         ret = self._engine.read(nrows)
   1006 
   1007         if self.options.get('as_recarray'):

/usr/local/lib/python3.6/site-packages/pandas/io/parsers.py in read(self, nrows)
   1746     def read(self, nrows=None):
   1747         try:
-> 1748             data = self._reader.read(nrows)
   1749         except StopIteration:
   1750             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:11884)()

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._tokenize_rows (pandas/_libs/parsers.c:11755)()

pandas/_libs/parsers.pyx in pandas._libs.parsers.raise_parser_error (pandas/_libs/parsers.c:28765)()

ParserError: Error tokenizing data. C error: Expected 2 fields in line 11, saw 3

我花了几个小时来调试这个，试图在 Atom 上打开 csv 文件(没有其他应用程序可以打开它)，在线网络应用程序(一些崩溃)但没有帮助。我尝试使用其他人的内核解决了问题，但没有帮助。

Answer 1

它仍然很可能是 gzip 压缩的数据。 gzip 的魔数(Magic Number)是 0x1f 0x8b ，这与 UnicodeDecodeError 一致你得到。

您可以尝试动态解压缩数据:

with open('destinations.csv', 'rb') as fd:
    gzip_fd = gzip.GzipFile(fileobj=fd)
    destinations = pd.read_csv(gzip_fd)