尝试使用 pandas 读取 csv 文件时出现文件未找到错误。我确定我使用了正确的文件路径

Question

我正在尝试使用 pandas read_csv 函数读取 CSV 文件，但我不断收到文件未找到错误。这是我使用的代码，虽然我说我确定我使用了正确的路径，但我仍然可能是错误的，如果是这种情况，请向我指出错误。请注意，我使用 Jupyter Notebook 作为 Anaconda 的一部分。

import pandas as pd

melbourne_file_path = 'Downloads\melb_data.csv'
melbourne_data = pd.read_csv(melbourne_file_path) 
print(melbourne_data.describe())

我得到的错误是

FileNotFoundError                         Traceback (most recent call last)
<ipython-input-3-f31a03883307> in <module>()
  2 
  3 melbourne_file_path = 'Downloads\melb_data.csv'    
----> 4 melbourne_data = pd.read_csv(melbourne_file_path)
  5 print(melbourne_data.describe())

~\Anaconda3\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)
    707                     skip_blank_lines=skip_blank_lines)
    708 
--> 709         return _read(filepath_or_buffer, kwds)
    710 
    711     parser_f.__name__ = name

~\Anaconda3\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds)
    447 
    448     # Create the parser.
--> 449     parser = TextFileReader(filepath_or_buffer, **kwds)
    450 
    451     if chunksize or iterator:

~\Anaconda3\lib\site-packages\pandas\io\parsers.py in __init__(self, f, engine, **kwds)
    816             self.options['has_index_names'] = kwds['has_index_names']
    817 
--> 818         self._make_engine(self.engine)
    819 
    820     def close(self):

~\Anaconda3\lib\site-packages\pandas\io\parsers.py in _make_engine(self, engine)
   1047     def _make_engine(self, engine='c'):
   1048         if engine == 'c':
-> 1049             self._engine = CParserWrapper(self.f, **self.options)
   1050         else:
   1051             if engine == 'python':

~\Anaconda3\lib\site-packages\pandas\io\parsers.py in __init__(self, src, **kwds)
   1693         kwds['allow_leading_cols'] = self.index_col is not False
   1694 
-> 1695         self._reader = parsers.TextReader(src, **kwds)
   1696 
   1697         # XXX

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.__cinit__()

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source()

FileNotFoundError: File b'Downloads\\melb_data.csv' does not exist

感谢任何帮助。

这里的要求是我收到的错误。

OSError                                   Traceback (most recent call last)
<ipython-input-1-d428ae69b6da> in <module>()
      2 
      3 melbourne_file_path = 'C:/Users/Username/Downloads'
----> 4 melbourne_data = pd.read_csv(melbourne_file_path)
      5 print(melbourne_data.describe())

~\Anaconda3\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)
    707                     skip_blank_lines=skip_blank_lines)
    708 
--> 709         return _read(filepath_or_buffer, kwds)
    710 
    711     parser_f.__name__ = name

~\Anaconda3\lib\site-packages\pandas\io\parsers.py in 
_read(filepath_or_buffer, kwds)
    447 
    448     # Create the parser.
--> 449     parser = TextFileReader(filepath_or_buffer, **kwds)
    450  
    451     if chunksize or iterator:

~\Anaconda3\lib\site-packages\pandas\io\parsers.py in __init__(self, f, 
engine, **kwds)
    816             self.options['has_index_names'] = 
kwds['has_index_names']
    817 
--> 818         self._make_engine(self.engine)
    819 
    820     def close(self):

~\Anaconda3\lib\site-packages\pandas\io\parsers.py in _make_engine(self, 
engine)
   1047     def _make_engine(self, engine='c'):
   1048         if engine == 'c':
-> 1049             self._engine = CParserWrapper(self.f, **self.options)
   1050         else:
   1051             if engine == 'python':

~\Anaconda3\lib\site-packages\pandas\io\parsers.py in __init__(self, src, 
**kwds)
   1693         kwds['allow_leading_cols'] = self.index_col is not False
   1694 
-> 1695         self._reader = parsers.TextReader(src, **kwds)
   1696 
   1697         # XXX

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.__cinit__()

pandas/_libs/parsers.pyx in 
pandas._libs.parsers.TextReader._setup_parser_source()

OSError: Initializing from file failed

Answer 1

我认为您的问题来自文件路径中的反斜杠。

使用 python，您始终可以使用正斜杠（“/”），它将在 Windows 系统上进行翻译。

'C:/mydir'

或者您可以尝试以下方法：

'C:\\mydir'

不过，最好的解决方案可能是使用os 包来正确选择最适合您系统的方案

Answer 2

尝试使用完整路径而不是相对路径。您正在引用'Downloads\melb_data.csv'，但可能是您的当前目录不是您认为的那样，尤其是在从 Juypter 运行时。尝试类似~/Downloads/melb_data.csv