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如何在iPhone的Carnets App中通过Jupyter Notebook导入.xlsx文件?

在iPhone的Carnets App中读取Excel文件的路径问题

我想在iPhone的Carnets App里的Jupyter Notebook处理从Kaggle下载的数据集,但一直找不到正确的文件路径,试了两段代码都报错。

尝试过的代码

第一段代码

import pandas as pd

aguacates = pd.read_excel("⁨⁨⁨En mi       iPhone⁩ ▸ ⁨video141_python_pildorasInfor⁩ ▸     Aguacate producción.xlsx")
print(aguacates)

第二段代码

import pandas as pd

aguacates = pd.read_excel("⁨⁨⁨En mi iPhone⁩ \\video141_python_pildorasInfor⁩\\Aguacate producción.xlsx")
(aguacates)

报错信息

FileNotFoundError                         Traceback (most recent call last)
Cell In[2], line 3
  1 import pandas as pd
----> 3 aguacates = pd.read_excel("⁨⁨En mi iPhone⁩\\⁨video141_python_pildorasInfor⁩\\Aguacate producción.xlsx")
  4 print(aguacates)

File /private/var/containers/Bundle/Application/D169301A-0DB7-4982-8FE3-9C6D0E0C17D8/Carnets.app/Library/lib/python3.11/site-packages/pandas/io/excel/_base.py:478, 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)
476 if not isinstance(io, ExcelFile):
477     should_close = True
--> 478     io = ExcelFile(io, storage_options=storage_options, engine=engine)
479 elif engine and engine != io.engine:
480     raise ValueError(
481         "Engine should not be specified when passing "
482         "an ExcelFile - ExcelFile already has the engine set"
483     )

File /private/var/containers/Bundle/Application/D169301A-0DB7-4982-8FE3-9C6D0E0C17D8/Carnets.app/Library/lib/python3.11/site-packages/pandas/io/excel/_base.py:1496, in ExcelFile.__init__(self, path_or_buffer, engine, storage_options)
   1494     ext = "xls"
   1495 else:
--> 1496     ext = inspect_excel_format(
   1497         content_or_path=path_or_buffer, storage_options=storage_options
   1498     )
   1499     if ext is None:
   1500         raise ValueError(
   1501             "Excel file format cannot be determined, you must specify "
   1502             "an engine manually."
   1503         )

File /private/var/containers/Bundle/Application/D169301A-0DB7-4982-8FE3-9C6D0E0C17D8/Carnets.app/Library/lib/python3.11/site-packages/pandas/io/excel/_base.py:1371, in inspect_excel_format(content_or_path, storage_options)
   1368 if isinstance(content_or_path, bytes):
   1369     content_or_path = BytesIO(content_or_path)
--> 1371 with get_handle(
   1372     content_or_path, "rb", storage_options=storage_options, is_text=False
   1373 ) as handle:
   1374     stream = handle.handle
   1375     stream.seek(0)

File /private/var/containers/Bundle/Application/D169301A-0DB7-4982-8FE3-9C6D0E0C17D8/Carnets.app/Library/lib/python3.11/site-packages/pandas/io/common.py:868, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
    859         handle = open(
    860             handle,
    861             ioargs.mode,
   (...)
    864             newline="",
    865         )
    866     else:
    867         # Binary mode
--> 868         handle = open(handle, ioargs.mode)
    869     handles.append(handle)
    871 # Convert BytesIO or file objects passed with an encoding

FileNotFoundError: [Errno 2] No such file or directory: '\u2068\u2068En mi iPhone\u2069\\\u2068video141_python_pildorasInfor\u2069\\Aguacate producción.xlsx'

解决方法

  • 清理路径中的隐藏字符:错误信息显示路径里包含\u2068和\u2069这类不可见的格式化字符,这是从文件管理器复制路径时带入的。直接手动输入路径,避免复制粘贴。
  • 导入文件到Carnets工作目录(最简便):
    1. 打开Carnets App,点击右上角+按钮,选择Import
    2. 找到存储数据集的文件夹,选中Aguacate producción.xlsx完成导入
    3. 导入后直接用文件名读取:
      import pandas as pd
      aguacates = pd.read_excel("Aguacate producción.xlsx")
      print(aguacates)
      
  • 使用正确的iOS文件路径:如果要读取外部文件夹的文件,需确保Carnets有该文件夹的访问权限,并用iOS原生路径格式:
    import pandas as pd
    # 替换为实际的文件路径,可通过Carnets的文件浏览器查看
    aguacates = pd.read_excel("/private/var/mobile/Containers/Data/Documents/video141_python_pildorasInfor/Aguacate producción.xlsx")
    
    也可以用pathlib模块更安全地构建路径:
    from pathlib import Path
    import pandas as pd
    
    data_folder = Path("/private/var/mobile/Containers/Data/Documents/video141_python_pildorasInfor")
    file_path = data_folder / "Aguacate producción.xlsx"
    aguacates = pd.read_excel(file_path)
    print(aguacates)
    
  • 检查文件名和路径拼写:确认文件名、文件夹名的拼写、空格、特殊字符(比如producción的重音)完全匹配,大小写也要一致。

内容的提问来源于stack exchange,提问作者Samusdr17

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最近更新时间:2026.06.14 01:15:00