kaggle房价数据报错问题

问题遇到的现象和发生背景

kaggle房价数据报错

问题相关代码，请勿粘贴截图

train = pd.read_csv('/kaggle/input/house-prices-advanced-regression-techniques/train.csv')
test = pd.read_csv('/kaggle/input/house-prices-advanced-regression-techniques/test.csv')

运行结果及报错内容

FileNotFoundError                         Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_17840/2538319490.py in <module>
----> 1 train = pd.read_csv('/kaggle/input/house-prices-advanced-regression-techniques/train.csv')
      2 test = pd.read_csv('/kaggle/input/house-prices-advanced-regression-techniques/test.csv')

c:\users\91334\pycharmprojects\kaggle\venv\lib\site-packages\pandas\util\_decorators.py in wrapper(*args, **kwargs)
    309                     stacklevel=stacklevel,
    310                 )
--> 311             return func(*args, **kwargs)
    312 
    313         return wrapper

c:\users\91334\pycharmprojects\kaggle\venv\lib\site-packages\pandas\io\parsers\readers.py in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
    584     kwds.update(kwds_defaults)
    585 
--> 586     return _read(filepath_or_buffer, kwds)
    587 
    588 

c:\users\91334\pycharmprojects\kaggle\venv\lib\site-packages\pandas\io\parsers\readers.py in _read(filepath_or_buffer, kwds)
    480 
    481     # Create the parser.
--> 482     parser = TextFileReader(filepath_or_buffer, **kwds)
    483 
    484     if chunksize or iterator:

c:\users\91334\pycharmprojects\kaggle\venv\lib\site-packages\pandas\io\parsers\readers.py in __init__(self, f, engine, **kwds)
    809             self.options["has_index_names"] = kwds["has_index_names"]
    810 
--> 811         self._engine = self._make_engine(self.engine)
    812 
    813     def close(self):

c:\users\91334\pycharmprojects\kaggle\venv\lib\site-packages\pandas\io\parsers\readers.py in _make_engine(self, engine)
   1038             )
   1039         # error: Too many arguments for "ParserBase"
-> 1040         return mapping[engine](self.f, **self.options)  # type: ignore[call-arg]
   1041 
   1042     def _failover_to_python(self):

c:\users\91334\pycharmprojects\kaggle\venv\lib\site-packages\pandas\io\parsers\c_parser_wrapper.py in __init__(self, src, **kwds)
     49 
     50         # open handles
---> 51         self._open_handles(src, kwds)
     52         assert self.handles is not None
     53 

c:\users\91334\pycharmprojects\kaggle\venv\lib\site-packages\pandas\io\parsers\base_parser.py in _open_handles(self, src, kwds)
    220         Let the readers open IOHandles after they are done with their potential raises.
    221         """
--> 222         self.handles = get_handle(
    223             src,
    224             "r",

c:\users\91334\pycharmprojects\kaggle\venv\lib\site-packages\pandas\io\common.py in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
    700         if ioargs.encoding and "b" not in ioargs.mode:
    701             # Encoding
--> 702             handle = open(
    703                 handle,
    704                 ioargs.mode,

FileNotFoundError: [Errno 2] No such file or directory: '/kaggle/input/house-prices-advanced-regression-techniques/train.csv'

我的解答思路和尝试过的方法

不知道怎么解决

我想要达到的结果

文件没找到 ， 确认这个路径下有这个文件。
linux 下吗？
/kaggle/input/house-prices-advanced-regression-techniques/train.csv

看你的代码， 应该是这样吧

train = pd.read_csv('c:/users/91334/pycharmprojects/kaggle/input/house-prices-advanced-regression-techniques/train.csv')
test = pd.read_csv('c:/users/91334/pycharmprojects/kaggle/input/house-prices-advanced-regression-techniques/test.csv')