import pandas as pd
dataset = pd.read_excel(r'‪D:\a.xlsx', sheet_name='Sheet1')
print(dataset)

出现报错信息：

---------------------------------------------------------------------------
OSError                                   Traceback (most recent call last)
Cell In[39], line 2
      1 import pandas as pd
----> 2 dataset = pd.read_excel(r'‪D:\a.xlsx', sheet_name='Sheet1')
      3 print(dataset)
File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\io\excel\_base.py:495, in read_excel(io, sheet_name, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, parse_dates, date_parser, date_format, thousands, decimal, comment, skipfooter, storage_options, dtype_backend, engine_kwargs)
    493 if not isinstance(io, ExcelFile):
    494     should_close = True
--> 495     io = ExcelFile(
    496         io,
    497         storage_options=storage_options,
    498         engine=engine,
    499         engine_kwargs=engine_kwargs,
    500     )
    501 elif engine and engine != io.engine:
    502     raise ValueError(
    503         "Engine should not be specified when passing "
    504         "an ExcelFile - ExcelFile already has the engine set"
    505     )
File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\io\excel\_base.py:1550, in ExcelFile.__init__(self, path_or_buffer, engine, storage_options, engine_kwargs)
   1548     ext = "xls"
   1549 else:
-> 1550     ext = inspect_excel_format(
   1551         content_or_path=path_or_buffer, storage_options=storage_options
   1552     )
   1553     if ext is None:
   1554         raise ValueError(
   1555             "Excel file format cannot be determined, you must specify "
   1556             "an engine manually."
   1557         )
File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\io\excel\_base.py:1402, in inspect_excel_format(content_or_path, storage_options)
   1399 if isinstance(content_or_path, bytes):
   1400     content_or_path = BytesIO(content_or_path)
-> 1402 with get_handle(
   1403     content_or_path, "rb", storage_options=storage_options, is_text=False
   1404 ) as handle:
   1405     stream = handle.handle
   1406     stream.seek(0)
File ~\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\io\common.py:882, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
    873         handle = open(
    874             handle,
    875             ioargs.mode,
   (...)
    878             newline="",
    879         )
    880     else:
    881         # Binary mode
--> 882         handle = open(handle, ioargs.mode)
    883     handles.append(handle)
    885 # Convert BytesIO or file objects passed with an encoding
OSError: [Errno 22] Invalid argument: '\u202aD:\\a.xlsx'

出现问题的原因是，之前写代码的时候，文件的读取路径是 “点击目标文件右键-》复制安全模块里面的路径 ”，然后直接粘贴在代码中。

经网上查阅资料，说这样操作会导致路径首部被自动填充一个空格导致路径错误。但查看代码并看不出有空格的情况。

解决的方法 ：尝试过将第一个字符删掉重新输入运行，仍然报一样的错误。后面将 文件路径全部删掉，手动重新输入即可 。

代码修改后如下：（两份代码看不出差别）

import pandas as pd
dataset = pd.read_excel(r'D:\a.xlsx', sheet_name='Sheet1')
print(dataset)

运行后显示：

Empty DataFrame
Columns: [111, 222, 333, 444]
Index: []