我知道类似的问题已经被问到了,我已经看过了所有的问题,也试过了,但没有什么帮助。我用的是OSX 10.11 El Capitan,python3.6.,虚拟环境,没有那个也试过。我用的是jupyter notebook和spyder3。
我是python的新手,但知道基本的ML,并跟随一篇文章学习如何解决Kaggle挑战:Link to Blog,Link to Data Set
.我在代码的前几行卡住了`
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,这是因为它是gzip压缩的,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。
然后我读了一些地方来使用encoding='latin1'
,但是在这样做之后,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
我花了几个小时来调试这个,试图打开Atom上的csv文件(没有其他应用程序可以打开它),在线Web应用程序(一些崩溃),但没有帮助。我试过使用其他人的内核谁解决了这个问题,但没有帮助。
4条答案
按热度按时间2ul0zpep1#
很可能还是gzip压缩的数据。gzip的幻数是
0x1f 0x8b
,它与您得到的UnicodeDecodeError
一致。您可以尝试在运行时解压缩数据:
或者使用pandas内置的gzip支持:
vd8tlhqk2#
尝试在阅读csv文件时包含此编码
t2a7ltrp3#
你能试试用编解码器吗
63lcw9qa4#
我有同样的问题,虽然问题是与行结束。该文件具有Windows行结束符(CRLF),但在Linux机器中被操作。使用VSCode设置正确的行结尾解决了这个问题。