python – Pandas返回“Passed header names mismatches usecols”错误

以下按预期工作.有190列完全读入.

pd.read_csv("data.csv", 
             header=None,
             names=columns,
             # usecols=columns[:10], 
             nrows=10
             )

我之前使用过usecols参数,所以我很困惑为什么这不再适用于我.我猜想简单地切掉前10个列的名称就可以了,但是我继续得到“Passed header names mismatches usecols”错误.

我正在使用熊猫0.16.2.

pd.read_csv("data.csv", 
             header=None,
             names=columns,
             usecols=columns[:10], 
             nrows=10
             )

追溯

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-44> in <module>()
      3                     nrows=10,
      4                     header=None,
----> 5                     names=columns,
      6                     )

/.../lib/python2.7/site-packages/pandas/io/parsers.pyc in parser_f(filepath_or_buffer, sep, dialect, compression, doublequote, escapechar, quotechar, quoting, skipinitialspace, lineterminator, header, index_col, names, prefix, skiprows, skipfooter, skip_footer, na_values, na_fvalues, true_values, false_values, delimiter, converters, dtype, usecols, engine, delim_whitespace, as_recarray, na_filter, compact_ints, use_unsigned, low_memory, buffer_lines, warn_bad_lines, error_bad_lines, keep_default_na, thousands, comment, decimal, parse_dates, keep_date_col, dayfirst, date_parser, memory_map, float_precision, nrows, iterator, chunksize, verbose, encoding, squeeze, mangle_dupe_cols, tupleize_cols, infer_datetime_format, skip_blank_lines)
    472                     skip_blank_lines=skip_blank_lines)
    473 
--> 474         return _read(filepath_or_buffer, kwds)
    475 
    476     parser_f.__name__ = name

/.../lib/python2.7/site-packages/pandas/io/parsers.pyc in _read(filepath_or_buffer, kwds)
    248 
    249     # Create the parser.
--> 250     parser = TextFileReader(filepath_or_buffer, **kwds)
    251 
    252     if (nrows is not None) and (chunksize is not None):

/.../lib/python2.7/site-packages/pandas/io/parsers.pyc in __init__(self, f, engine, **kwds)
    564             self.options['has_index_names'] = kwds['has_index_names']
    565 
--> 566         self._make_engine(self.engine)
    567 
    568     def _get_options_with_defaults(self, engine):

/.../m9tn/lib/python2.7/site-packages/pandas/io/parsers.pyc in _make_engine(self, engine)
    703     def _make_engine(self, engine='c'):
    704         if engine == 'c':
--> 705             self._engine = CParserWrapper(self.f, **self.options)
    706         else:
    707             if engine == 'python':

/.../lib/python2.7/site-packages/pandas/io/parsers.pyc in __init__(self, src, **kwds)
   1070         kwds['allow_leading_cols'] = self.index_col is not False
   1071 
-> 1072         self._reader = _parser.TextReader(src, **kwds)
   1073 
   1074         # XXX

pandas/parser.pyx in pandas.parser.TextReader.__cinit__ (pandas/parser.c:4732)()

pandas/parser.pyx in pandas.parser.TextReader._get_header (pandas/parser.c:7330)()

ValueError: Passed header names mismatches usecols

解决方法:

事实证明,数据集中有191列(而非190). Pandas自动将我的第一列数据设置为索引.我不太清楚为什么它导致它出错,因为usecols中的所有列实际上都存在于解析的数据集中.

因此,解决方案是确认名称中的列数与数据集中的列数完全对应.

另外,我在GitHub上找到了this讨论.