UnicodeDecodeError:'utf-8'编解码器无法解码位置1中的字节0x8b:无效的起始字节,同时读取pandas中的csv文件

时间:2017-06-20 17:47:54

标签: python python-3.x csv pandas kaggle

我知道已经问过类似的问题我已经看过所有这些问题,并尝试过但没什么帮助。我正在使用OSX 10.11 El Capitan,python3.6。,虚拟环境,尝试没有它也。我正在使用jupyter笔记本和spyder3。

我是python的新手,但是知道基本的ML并关注帖子以了解如何解决Kaggle挑战:Link to BlogLink to Data Set

。我被困在前几行代码中 `

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上的一些答案表明它是因为它被gzip压缩,但是Chrome下载了.csv文件而.csv.gz无处可见,并且返回了找不到文件的错误。

然后我读到某个地方使用encoding='latin1',但在这之后我得到了解析器错误:

---------------------------------------------------------------------------
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

我花了好几个小时来调试这个,试图在Atom上打开csv文件(没有其他应用可以打开它),在线网络应用程序(有些崩溃)但没有帮助。我尝试过使用其他人的内核谁解决了这个问题,但没有帮助。

3 个答案:

答案 0 :(得分:5)

它仍然很可能是gzip压缩数据。 gzip的幻数是0x1f 0x8b,与你得到的UnicodeDecodeError一致。

您可以尝试即时解压缩数据:

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

答案 1 :(得分:1)

您可以尝试使用编解码器

import codecs
with codecs.open("destinations.csv", "r",encoding='utf-8', errors='ignore') as file_dat:
     destinations = pd.read_csv(file_data))

答案 2 :(得分:1)

在读取 csv 文件时尝试包含此编码

pd.read_csv('csv_file', encoding='ISO-8859–1')