大家好，我知道之前已经有人问过了，我已经尝试了所有 堆栈溢出的答案，但到目前为止没有用。我已经写了 MT5以CSV格式归档，其中包含价格数据。我已经检查了 使用记事本++的文件的结构，我无法确定是否存在 在数据中是一个奇怪的空值。
有人可以向我解释我要去哪里错了。代码 如下：
##Regressions
import pandas as pd;
import numpy as np
import codecs
CurrencyPairs=['AUDUSD','EURCHF','EURGBP','EURJPY','EURUSD','GBPUSD','USDCHF','USDJPY'];
dataFilePath = "H:\\MARKETDATA\\MetaTraderMT5FXPro\\";
nameHeaders = ('Time','Open','High','Low','Close','RealVolume','Spread','TickVolume')
%config IPCompleter.greedy=True
DataTableAudUsd = pd.read_csv(dataFilePath +'fileout_AUDUSD.csv',sep=',', engine='c');
编译器的输出为：
--------------------------------------------------------------------------
UnicodeDecodeError Traceback (most recent call last)
<ipython-input-3-3713f1583685> in <module>()
----> 1 DataTableAudUsd = pd.read_csv(dataFilePath +'fileout_AUDUSD.csv',sep=',', engine='c');
2 #DataTableEurChf = pd.read_csv(dataFilePath+'fileout_EURCHF.csv');
3 #DataTableEurGbp = pd.read_csv(dataFilePath+'fileout_EURGBP.csv');
4 #DataTableEurJpy = pd.read_csv(dataFilePath+'fileout_EURJPY.csv');
5 #DataTableEurUSd = pd.read_csv(dataFilePath+'fileout_EURUSD.csv');
C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\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)
653 skip_blank_lines=skip_blank_lines)
654
--> 655 return _read(filepath_or_buffer, kwds)
656
657 parser_f.__name__ = name
C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\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:
C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\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):
C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\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':
C:\Program Files (x86)\Microsoft Visual Studio\Shared\Anaconda3_64\lib\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 0xff in position 0: invalid start byte
DataTableAudUsd.head（）
正如我提到的，我尝试使用编解码器，但我认为这不是我的问题所在。
数据示例为：
Time,Open,High,Low,Close,RealVolume,Spread,TickVolume
2010.01.04 00:00:00,0.89938,0.8995300000000001,0.8970900000000001,0.8971100000000001,0.0,30.0,1144.0
2010.01.04 01:00:00,0.89712,0.89795,0.89612,0.8963200000000001,0.0,35.0,1735.0
2010.01.04 02:00:00,0.89634,0.8964500000000001,0.8937200000000001,0.895,0.0,30.0,1771.0
2010.01.04 03:00:00,0.89502,0.89653,0.89502,0.8961300000000001,0.0,35.0,1242.0
2010.01.04 04:00:00,0.8961100000000001,0.8964800000000001,0.8947900000000001,0.8963300000000001,0.0,30.0,663.0
2010.01.04 05:00:00,0.89636,0.89724,0.8960900000000001,0.8968100000000001,0.0,30.0,678.0
2010.01.04 06:00:00,0.8968300000000001,0.8984200000000001,0.8965400000000001,0.8977400000000001,0.0,18.0,949.0
2010.01.04 07:00:00,0.8977100000000001,0.8982500000000001,0.8966900000000001,0.89822,0.0,15.0,1117.0
2010.01.04 08:00:00,0.8982100000000001,0.9006700000000001,0.8975400000000001,0.9004700000000001,0.0,21.0,1846.0
2010.01.04 09:00:00,0.90046,0.9044300000000001,0.9003700000000001,0.9037600000000001,0.0,22.0,2347.0