Python AWS Sagemaker Studio，无法加载pickle文件

我是Sagemaker的新手，我正在尝试将pickle数据集加载到Sagemaker笔记本中。 我正在使用Python3（数据科学）内核和ml.t3.medium实例。 要么从S3加载pickle，要么直接从studio上传，如下所示：

import pickle5
with open('filename', 'rb') as f:
    x = pickle.load(f)

我收到这个错误：

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/opt/conda/lib/python3.7/site-packages/IPython/core/formatters.py in __call__(self, obj)
    700                 type_pprinters=self.type_printers,
    701                 deferred_pprinters=self.deferred_printers)
--> 702             printer.pretty(obj)
    703             printer.flush()
    704             return stream.getvalue()

..................... more errors here


/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py in __getattr__(self, name)
   5268             or name in self._accessors
   5269         ):
-> 5270             return object.__getattribute__(self, name)
   5271         else:
   5272             if self._info_axis._can_hold_identifiers_and_holds_name(name):

pandas/_libs/properties.pyx in pandas._libs.properties.AxisProperty.__get__()

/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py in __getattr__(self, name)
   5268             or name in self._accessors
   5269         ):
-> 5270             return object.__getattribute__(self, name)
   5271         else:
   5272             if self._info_axis._can_hold_identifiers_and_holds_name(name):

AttributeError: 'DataFrame' object has no attribute '_data'

---

你能检查一下你的熊猫版本吗？此错误通常在以旧版本写入pickle文件时发生。您的Sagemaker笔记本可能运行Pandas>1.1，其中数据帧被腌制的Pandas可能小于1.1