blocks|key|1005044|text|我不认为问题在于pickle模块，而是Pandas版本。您的文件可能是用较早版本的Pandas创建的。现在您使用的是较新的版本，pickle无法“反序列化”对象，因为API会改变。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1005045|尝试降低您的Pandas版本并重新加载文件。您也可以尝试使用pd.read_pickle。|1005046|entityMap|0|LINK|mutability|MUTABLE|url|https://pandas.pydata.org/docs/reference/api/pandas.read_pickle.html^0|8|6|J|6|15|6|1S|6|0|6|6|U|E|U|E|0|0^^$0|@$1|2|3|4|5|6|7|P|8|@$9|Q|A|R|B|C]|$9|S|A|T|B|C]|$9|U|A|V|B|C]|$9|W|A|X|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|Y|8|@$9|Z|A|10|B|C]|$9|11|A|12|B|C]]|D|@$9|13|A|14|1|15]]|E|$]]|$1|H|3|-4|5|6|7|16|8|@]|D|@]|E|$]]]|I|$J|$5|K|L|M|E|$N|O]]]]

I don't think the problem is <code>pickle</code> module but <code>Pandas</code> version. Your file was probably created with an older version of <code>Pandas</code>. Now you use a newer version, <code>pickle</code> can't &quot;deserialize&quot; the object because the API change.
Try to downgrade your <code>Pandas</code> version and reload file. You can also try to use <a href="https://pandas.pydata.org/docs/reference/api/pandas.read_pickle.html" rel="noreferrer"><code>pd.read_pickle</code></a>.

blocks|key|1783215|text|在我的例子中，我不得不升级而不是降低Pandas的版本。确保它们匹配。给未来读者的一些建议：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1783216|请用以下方式询问版本：|1783217|import+pandas+as+pd
pd.__version__|code-block|syntax|javascript|1783218|并将版本更改为(用您自己的版本替换)|1783219|%25pip+install+pandas==1.4.1|1783220|entityMap^0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|P|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|Q|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|R|8|@]|9|@]|A|$]]|$1|K|3|L|5|F|7|S|8|@]|9|@]|A|$G|H]]|$1|M|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|N|$]]

In my case I had to upgrade instead of downgrade the Pandas version. Just make sure they match. Some tips for future readers:
Ask the version with:
<pre><code>import pandas as pd
pd.__version__
</code></pre>
And change the version with (replace with your own version)
<pre><code>%pip install pandas==1.4.1
</code></pre>

blocks|key|1005503|text|在使用vscode和.net交互式笔记本扩展时，我得到了这个错误。当我更新熊猫并重新启动笔记本时，它就解决了。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1005504|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

I got this error when using vscode and .net interactive notebooks extension. It got resolved when I updated pandas AND restarted the notebook.

blocks|key|1005088|text|你所要做的就是把你的滑雪版降到1.0.2|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1005089|不起作用？确保您在代码和env中使用的版本相同。|1005090|那就行了。|1005091|编码愉快！！|1005092|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|J|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|K|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|L|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|M|8|@]|9|@]|A|$]]|$1|H|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|I|$]]

all you have to do is downgrade your sklearn version to 1.0.2
doesn't work?
make sure the version you had used in your code and env as same.
that'll work.
happy coding!!

While using:
<pre><code>with open(&quot;data_file.pickle&quot;, &quot;rb&quot;) as pfile:
 raw_data = pickle.load(pfile) 
</code></pre>
I get the error:
<pre><code>AttributeError: Can't get attribute '_unpickle_block' on &lt;module 'pandas._libs.internals' from '/opt/conda/lib/python3.8/site-packages/pandas/_libs/internals.cpython-38-x86_64-linux-gnu.so'&gt;
</code></pre>
Another <a href="https://stackoverflow.com/questions/70944402/unable-to-open-spydata-in-spyder-cant-get-attribute-unpickle-block-on">answer</a> to a similar question suggests checking the version of pickle I am using. It is the same on my machine, where I developed the code and on server, where I am running the code. I have searched everywhere with no answers. Please help.

AttributeError: Can't get attribute '_unpickle_block'

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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同时使用：with open("data_file.pickle", "rb") as pfile: raw_data = pickle.load(pfile) 我知道错误：AttributeError: Can't get attribute '_unpickle_block' on <module 'pa...

问AttributeError:无法获得属性“_unpickle_block”
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问AttributeError:无法获得属性“_unpickle_block”EN