在上一篇文章中,我发现read_table()
如果使用read_table('datafile', sep=r'\s*')
构造函数,pandas 函数可以将可变长度的空格作为分隔符处理。虽然这对我的许多文件都非常有用,但尽管非常相似,但它不适用于其他文件。
编辑:我发布了其他尝试时无法复制问题的示例。因此,我发布了指向 AY907538和AY942707的原始文件的链接,并留下了我无法解决的错误消息。
## filename:AY942707
# this will load with no problem
data = read_table('AY942707.hmmdomtblout', header=None, skiprows=3, sep=r'\s*')
## filename: AY907538
data = read_table('AY907538.hmmdomtblout', header=None, skiprows=3, sep=r'\s*')
这将产生以下错误:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-7-131d10d1fb1d> in <module>()
2
3 #temp = get_dataset('AY907538.hmmdomtblout')
----> 4 data = read_table('AY907538.hmmdomtblout', header=None, skiprows=3, sep=r'\s*')
5 #data = read_table('AY942707.hmmdomtblout', header=None, skiprows=3, sep=r'\s*')
/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pandas/io/parsers.pyc in read_table(filepath_or_buffer, sep, dialect, header, index_col, names, skiprows, na_values, thousands, comment, parse_dates, keep_date_col, dayfirst, date_parser, nrows, iterator, chunksize, skip_footer, converters, verbose, delimiter, encoding, squeeze)
282 kwds['encoding'] = None
283
--> 284 return _read(TextParser, filepath_or_buffer, kwds)
285
286 @Appender(_read_fwf_doc)
/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pandas/io/parsers.pyc in _read(cls, filepath_or_buffer, kwds)
189 return parser
190
--> 191 return parser.get_chunk()
192
193 @Appender(_read_csv_doc)
/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pandas/io/parsers.pyc in get_chunk(self, rows)
779 msg = ('Expecting %d columns, got %d in row %d' %
780 (col_len, zip_len, row_num))
--> 781 raise ValueError(msg)
782
783 data = dict((k, v) for k, v in izip(self.columns, zipped_content))
ValueError: Expecting 26 columns, got 28 in row 6