我知道类似的问题已经被问过，我已经看过所有这些问题并尝试过，但没有什么帮助。我正在使用 OSX 10.11 El Capitan，python3.6.，虚拟环境，也尝试过没有它。我正在使用jupyter笔记本和spyder3。
我是 Python 新手，但了解基本的 ML，并按照帖子学习如何解决 Kaggle 挑战：链接到博客、链接到数据集
.我被前几行代码困住了 `
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 gzip 压缩，但 Chrome 下载了 .csv 文件，而 .csv.gz 无处可见并返回文件未找到错误。
然后我在某个地方阅读了使用
encoding='latin1'---------------------------------------------------------------------------
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，尝试在 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（有些崩溃了）但没有帮助。我尝试过使用其他人的内核解决了问题，但没有帮助。
它仍然很可能是 gzip 压缩的数据。 gzip 的神奇数字是
0x1f 0x8bUnicodeDecodeError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)
或者使用 pandas 的内置 gzip 支持：
destinations = pd.read_csv('destinations.csv', compression='gzip')
尝试在读取 csv 文件时包含此编码
pd.read_csv('csv_file', encoding='ISO-8859–1')
你可以尝试使用编解码器吗
import codecs
with codecs.open("destinations.csv", "r",encoding='utf-8', errors='ignore') as file_dat:
destinations = pd.read_csv(file_data))
我遇到了同样的问题，尽管问题出在行结尾。该文件具有 Windows 行结尾 (CRLF)，但正在 Linux 计算机中进行操作。使用 VSCode 设置正确的行结尾解决了该问题。
我正在学习Python；我在通过 pandas 读取 CSV 文件时遇到了同样的问题。就我而言，我使用 latin1 编码来解决该问题。
pd.read_csv('Dataset.csv',encoding = 'latin1')pd.read_csv('Dataset.csv',encoding = 'ISO 8859-1')