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 Python 3(数据科学)内核和 ml.t3.medium 实例。 我要么从 S3 加载 pickle，要么直接从工作室上传，如下所示:
import pickle5
with open('filename', 'rb') as f:
x = pickle.load(f)
我收到此错误:
---------------------------------------------------------------------------
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'
最佳答案
你能检查一下你的 Pandas 版本吗？当 pickled 文件是用旧的 Pandas 版本编写时，通常会发生此错误。您的 Sagemaker 笔记本可能运行 Pandas > 1.1，而 pickle 数据帧的 Pandas 可能是 < 1.1
关于python - AWS Sagemaker Studio，无法加载pickle文件，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/67361483/