blocks|key|456616|text|我认为您混淆了networkx中的社区模块和使用networkx的python-louvain模块中的社区检测。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|456617|如果您安装python，它的文档中的示例对我有效，并生成如下所示的映像：|456618|​|456619|📷|atomic|456620|456621|请注意，您将导入community，而不是networkx.algorithms.community。那是,|style|CODE|456622|import+community

[..+code+..]

partition+=+community.best_partition(G_fb)|code-block|syntax|javascript|456623|entityMap|0|LINK|mutability|MUTABLE|url|https://networkx.github.io/documentation/stable/reference/algorithms/community.html|1|https://python-louvain.readthedocs.io/en/latest/|2|IMAGE|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/9c71bd5ea9d3733efd18c42d275e14aa.png|imageAlt^0|H|4|0|X|E|1|0|0|0|0|1|2|0|0|8|9|L|T|0|0^^$0|@$1|2|3|4|5|6|7|1A|8|@]|9|@$A|1B|B|1C|1|1D]|$A|1E|B|1F|1|1G]]|C|$]]|$1|D|3|E|5|6|7|1H|8|@]|9|@]|C|$]]|$1|F|3|G|5|6|7|1I|8|@]|9|@]|C|$]]|$1|H|3|I|5|J|7|1J|8|@]|9|@$A|1K|B|1L|1|1M]]|C|$]]|$1|K|3|G|5|6|7|1N|8|@]|9|@]|C|$]]|$1|L|3|M|5|6|7|1O|8|@$A|1P|B|1Q|N|O]|$A|1R|B|1S|N|O]]|9|@]|C|$]]|$1|P|3|Q|5|R|7|1T|8|@]|9|@]|C|$S|T]]|$1|U|3|-4|5|6|7|1U|8|@]|9|@]|C|$]]]|V|$W|$5|X|Y|Z|C|$10|11]]|12|$5|X|Y|Z|C|$10|13]]|14|$5|15|Y|16|C|$17|18|19|-4]]]]

I think you're confusing the <a href="https://networkx.github.io/documentation/stable/reference/algorithms/community.html" rel="noreferrer">community module</a> in networkx proper with the community detection in the <a href="https://python-louvain.readthedocs.io/en/latest/" rel="noreferrer">python-louvain</a> module which uses networkx.

If you install python-louvain, the example in its docs works for me, and generates images like

<a href="https://i.stack.imgur.com/v8snI.png" rel="noreferrer"><img src="https://i.stack.imgur.com/v8snI.png" alt="sample graph partition"></a>

Note that you'll be importing <code>community</code>, not <code>networkx.algorithms.community</code>. That is,

<pre><code>import community

[.. code ..]

partition = community.best_partition(G_fb)
</code></pre>

blocks|key|2128781|text|我在CS224W上遇到了这个|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2128782|AttributeError:+module+'community'+has+no+attribute+'best_partition'|offset|length|style|CODE|2128783|📷|atomic|2128784|​|2128785|请更改此文件karate.py|2128786|替换导入到import+community.community_louvain+as+community_louvain|2128787|那对我来说很管用。|2128788|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/e9a684e3e78cab73920cb86f1d6642e8.png|imageAlt^0|0|0|1W|0|0|1|0|0|0|0|5|1J|0|0^^$0|@$1|2|3|4|5|6|7|11|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|12|8|@$D|13|E|14|F|G]]|9|@]|A|$]]|$1|H|3|I|5|J|7|15|8|@]|9|@$D|16|E|17|1|18]]|A|$]]|$1|K|3|L|5|6|7|19|8|@]|9|@]|A|$]]|$1|M|3|N|5|6|7|1A|8|@]|9|@]|A|$]]|$1|O|3|P|5|6|7|1B|8|@$D|1C|E|1D|F|G]]|9|@]|A|$]]|$1|Q|3|R|5|6|7|1E|8|@]|9|@]|A|$]]|$1|S|3|-4|5|6|7|1F|8|@]|9|@]|A|$]]]|T|$U|$5|V|W|X|A|$Y|Z|10|-4]]]]

I faced this in CS224W
<code>AttributeError: module 'community' has no attribute 'best_partition'</code>
<a href="https://i.stack.imgur.com/Hww2k.png" rel="noreferrer"><img src="https://i.stack.imgur.com/Hww2k.png" alt="enter image description here" /></a>
Pls change this file karate.py
replace import to
<code>import community.community_louvain as community_louvain</code>
then it works for me.

blocks|key|2128738|text|我也有同样的问题。在我的例子中，以一种不同的方式解决了导入模块的问题：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2128739|import+community.community_louvain|code-block|syntax|javascript|2128740|来源|offset|length|2128741|entityMap|0|LINK|mutability|MUTABLE|url|https://www.programmersought.com/article/35095865636/^0|0|0|0|2|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|T|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|U|8|@]|9|@$I|V|J|W|1|X]]|A|$]]|$1|K|3|-4|5|6|7|Y|8|@]|9|@]|A|$]]]|L|$M|$5|N|O|P|A|$Q|R]]]]

I had the same problem. In my case, it was solved importing the module in a different manner:
<pre><code>import community.community_louvain
</code></pre>
<a href="https://www.programmersought.com/article/35095865636/" rel="nofollow noreferrer">Source</a>

blocks|key|1285801|text|我在CS224W中也遇到了这种情况，但是更改karate.py或其他解决方案并不有效。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1285802|对于我(在colab中)，使用新的PyG安装代码是有效的。此代码将安装最后一个版本：|1285803|!pip+install+-q+torch-scatter+-f+https://pytorch-geometric.com/whl/torch-1.9.0%2Bcu102.html
!pip+install+-q+torch-sparse+-f+https://pytorch-geometric.com/whl/torch-1.9.0%2Bcu102.html
!pip+install+-q+git%2Bhttps://github.com/rusty1s/pytorch_geometric.git|code-block|syntax|javascript|1285804|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|L|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|M|8|@]|9|@]|A|$G|H]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

I also faced this in CS224W
but changing the karate.py or other solutions didn't work.
For me (in colab) using the new PyG installation code worked.
this code, will install the last version:
<pre><code>!pip install -q torch-scatter -f https://pytorch-geometric.com/whl/torch-1.9.0+cu102.html
!pip install -q torch-sparse -f https://pytorch-geometric.com/whl/torch-1.9.0+cu102.html
!pip install -q git+https://github.com/rusty1s/pytorch_geometric.git
</code></pre>

blocks|key|2128724|text|我也有过类似的问题。在我的例子中，这是因为在另一台机器上，库网络已经过时。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2128725|通过下面的命令，问题得到了解决。|2128726|pip3+install+--upgrade+networkx|code-block|syntax|javascript|2128727|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|L|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|M|8|@]|9|@]|A|$G|H]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

I had a similar issue.
In my case, it was because on the other machine the library networkx was obsolete.
With the following command, the issues was solved.
<pre><code>pip3 install --upgrade networkx
</code></pre>

blocks|key|2128869|text|我天真地认为pip+install+community是我要找的包，但是我需要pip+install+python-louvain，然后作为import+community导入。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2128870|entityMap^0|6|L|13|Q|1Y|G|0^^$0|@$1|2|3|4|5|6|7|H|8|@$9|I|A|J|B|C]|$9|K|A|L|B|C]|$9|M|A|N|B|C]]|D|@]|E|$]]|$1|F|3|-4|5|6|7|O|8|@]|D|@]|E|$]]]|G|$]]

I naively thought that <code>pip install community</code> was the package I was looking for but rather I needed <code>pip install python-louvain</code> which is then imported as <code>import community</code>.

blocks|key|1285904|text|这帮助我没有错误地运行代码：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1285905|pip+uninstall+community
import+community.community_louvain+as+cl
partition+=+cl.best_partition(G_fb)|code-block|syntax|javascript|1285906|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

This has helped me to run the code without errors:
<pre><code>pip uninstall community
import community.community_louvain as cl
partition = cl.best_partition(G_fb)
</code></pre>

well i am trying to use community detection algorithms by networkx on famous facebook snap data set.
here are my codes : 

<pre><code>import networkx as nx
import matplotlib.pyplot as plt
from networkx.algorithms import community
from networkx.algorithms.community.centrality import girvan_newman

G_fb = nx.read_edgelist("./facebook_combined.txt",create_using = nx.Graph(), nodetype=int)

parts = community.best_partition(G_fb)
values = [parts.get(node) for node in G_fb.nodes()]
</code></pre>

but when i'm run the cell i face with the title error which is : 

<pre><code>AttributeError: module 'networkx.algorithms.community' has no attribute 'best_partition'
</code></pre>

any advice ?

AttributeError: module 'networkx.algorithms.community' has no attribute 'best_partition'

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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我正在尝试使用社区检测算法，由networkx在著名的facebook数据集上使用。这是我的密码：import networkx as nximport matplotlib.pyplot as pltfrom networkx.algorithms import communityfrom networkx.algorithms.community.centrality import girva

问AttributeError:模块“networkx.algorithms.community”没有属性“best_partition”
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问AttributeError:模块“networkx.algorithms.community”没有属性“best_partition”
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