如何阅读用＆＃34;;＆＃34;？

Question

我开始在python 3.4中使用pandas几天。我选择了Book-Crossing data set 书籍信息表如下：



书籍评级表如下：



我想抓住＆＃34; ISBN＆＃34;，＃34;书名＆＃34;从书籍信息表中将其与书籍评级表合并，其中两者都匹配＆＃34; ISBN＆＃34;然后在另一个csv文件中写入结果。 我使用下面的代码：

udata = pd.read_csv('1', names = ('User_ID', 'ISBN', 'Book-Rating'), encoding="ISO-8859-1", sep=';', usecols=[0,1,2])
uitem = pd.read_csv('2', names = ('ISBN', 'Book-Title'), encoding="ISO-8859-1", sep=';', usecols=[0,1])
ratings = pd.merge(udata, uitem, on='ISBN')
ratings.to_csv('ratings.csv', index=False)

不幸的是它不起作用并且它给出了错误：

Traceback (most recent call last):
File "C:\Users\masoud\Desktop\Dataset\data2\a.py", line 2, in <module>
udata = pd.read_csv('2.csv', names = ('User_ID', 'ISBN', 'Book-Rating'),encoding="ISO-8859-1", sep=';', usecols=[0,1,2])
File "C:\WinPython-64bit-3.4.3.6\python-3.4.3.amd64\lib\site-packages\pandas\io\parsers.py", line 491, in parser_f
return _read(filepath_or_buffer, kwds)
File "C:\WinPython-64bit-3.4.3.6\python-3.4.3.amd64\lib\site-packages\pandas\io\parsers.py", line 278, in _read
return parser.read()
File "C:\WinPython-64bit-3.4.3.6\python-3.4.3.amd64\lib\site-packages\pandas\io\parsers.py", line 740, in read
ret = self._engine.read(nrows)
File "C:\WinPython-64bit-3.4.3.6\python-3.4.3.amd64\lib\site-packages\pandas\io\parsers.py", line 1187, in read
data = self._reader.read(nrows)
File "pandas\parser.pyx", line 758, in pandas.parser.TextReader.read (pandas\parser.c:7919)
File "pandas\parser.pyx", line 780, in pandas.parser.TextReader._read_low_memory (pandas\parser.c:8175)
File "pandas\parser.pyx", line 833, in pandas.parser.TextReader._read_rows (pandas\parser.c:8868)
File "pandas\parser.pyx", line 820, in pandas.parser.TextReader._tokenize_rows (pandas\parser.c:8736)
File "pandas\parser.pyx", line 1732, in pandas.parser.raise_parser_error (pandas\parser.c:22105)
pandas.parser.CParserError: Error tokenizing data. C error: Expected 8   fields in line 6452, saw 9

我想知道是否有人能解决这个错误？

Answer 1

在第一行和第二行中，将for index, item in enumerate(queryset): if item.date_end < now(): queryset.insert(len(queryset)-1, queryset.pop(index)) 更改为sep。

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