blocks|key|918179|text|首先，我认为mplot3D在matplotlib版本的0.99中的工作方式与在当前版本的matplotlib中略有不同。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|918180|您使用的是哪个版本？(尝试运行：python+-c+'import+matplotlib;+print+matplotlib."__version__")|918181|我猜您运行的是0.99版本，在这种情况下，您需要使用稍微不同的语法，或者更新到更新版本的matplotlib。|918182|如果您运行的是version+0.99，请尝试这样做，而不是使用projection关键字参数：|918183|import+matplotlib.pyplot+as+plt
from+mpl_toolkits.mplot3d+import+axes3d,+Axes3D+#<--+Note+the+capitalization!+
fig+=+plt.figure()

ax+=+Axes3D(fig)+#<--+Note+the+difference+from+your+original+code...

X,+Y,+Z+=+axes3d.get_test_data(0.05)
cset+=+ax.contour(X,+Y,+Z,+16,+extend3d=True)
ax.clabel(cset,+fontsize=9,+inline=1)
plt.show()|code-block|syntax|javascript|918184|这应该也适用于matplotlib+1.0.x，而不仅仅是0.99。|918185|entityMap^0|6|7|E|A|R|4|18|A|0|G|1P|0|7|4|18|A|0|F|4|W|A|0|0|7|A|I|5|T|4|0^^$0|@$1|2|3|4|5|6|7|U|8|@$9|V|A|W|B|C]|$9|X|A|Y|B|C]|$9|Z|A|10|B|C]|$9|11|A|12|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|13|8|@$9|14|A|15|B|C]]|D|@]|E|$]]|$1|H|3|I|5|6|7|16|8|@$9|17|A|18|B|C]|$9|19|A|1A|B|C]]|D|@]|E|$]]|$1|J|3|K|5|6|7|1B|8|@$9|1C|A|1D|B|C]|$9|1E|A|1F|B|C]]|D|@]|E|$]]|$1|L|3|M|5|N|7|1G|8|@]|D|@]|E|$O|P]]|$1|Q|3|R|5|6|7|1H|8|@$9|1I|A|1J|B|C]|$9|1K|A|1L|B|C]|$9|1M|A|1N|B|C]]|D|@]|E|$]]|$1|S|3|-4|5|6|7|1O|8|@]|D|@]|E|$]]]|T|$]]

First off, I think <code>mplot3D</code> worked a bit differently in <code>matplotlib</code> version <code>0.99</code> than it does in the current version of <code>matplotlib</code>.

Which version are you using? (Try running: <code>python -c 'import matplotlib; print matplotlib."__version__")</code>

I'm guessing you're running version <code>0.99</code>, in which case you'll need to either use a slightly different syntax or update to a more recent version of <code>matplotlib</code>.

If you're running version <code>0.99</code>, try doing this instead of using using the <code>projection</code> keyword argument:

<pre><code>import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d, Axes3D #&lt;-- Note the capitalization! 
fig = plt.figure()

ax = Axes3D(fig) #&lt;-- Note the difference from your original code...

X, Y, Z = axes3d.get_test_data(0.05)
cset = ax.contour(X, Y, Z, 16, extend3d=True)
ax.clabel(cset, fontsize=9, inline=1)
plt.show()
</code></pre>

This should work in <code>matplotlib</code> <code>1.0.x</code>, as well, not just <code>0.99</code>.

blocks|key|1132951|text|只是补充一下Joe+Kington的答案(没有足够的名气来评论)，在http://matplotlib.org/examples/mplot3d/mixed_subplots_demo.html的文档中有一个很好的混合2d和3d绘图的例子，它显示了projection='3d‘与Axes3D导入的结合工作。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1132952|from+mpl_toolkits.mplot3d+import+Axes3D
...
ax+=+fig.add_subplot(2,+1,+1)
...
ax+=+fig.add_subplot(2,+1,+2,+projection='3d')|code-block|syntax|javascript|1132953|实际上，只要存在Axes3D导入，就会出现下面这行|1132954|from+mpl_toolkits.mplot3d+import+Axes3D
...
ax+=+fig.gca(projection='3d')|1132955|OP使用的方法也是有效的。(使用matplotlib版本1.3.1检查)|1132956|entityMap|0|LINK|mutability|MUTABLE|url|http://matplotlib.org/examples/mplot3d/mixed_subplots_demo.html^0|Y|1R|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|W|8|@]|9|@$A|X|B|Y|1|Z]]|C|$]]|$1|D|3|E|5|F|7|10|8|@]|9|@]|C|$G|H]]|$1|I|3|J|5|6|7|11|8|@]|9|@]|C|$]]|$1|K|3|L|5|F|7|12|8|@]|9|@]|C|$G|H]]|$1|M|3|N|5|6|7|13|8|@]|9|@]|C|$]]|$1|O|3|-4|5|6|7|14|8|@]|9|@]|C|$]]]|P|$Q|$5|R|S|T|C|$U|V]]]]

Just to add to Joe Kington's answer (not enough reputation for a comment) there is a good example of mixing 2d and 3d plots in the documentation at <a href="http://matplotlib.org/examples/mplot3d/mixed_subplots_demo.html">http://matplotlib.org/examples/mplot3d/mixed_subplots_demo.html</a> which shows projection='3d' working in combination with the Axes3D import.

<pre><code>from mpl_toolkits.mplot3d import Axes3D
...
ax = fig.add_subplot(2, 1, 1)
...
ax = fig.add_subplot(2, 1, 2, projection='3d')
</code></pre>

In fact as long as the Axes3D import is present the line 

<pre><code>from mpl_toolkits.mplot3d import Axes3D
...
ax = fig.gca(projection='3d')
</code></pre>

as used by the OP also works. (checked with matplotlib version 1.3.1)

blocks|key|918328|text|我遇到了同样的问题，@Joe+Kington和@bvanlew的答案解决了我的问题。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|918329|但是当你使用pycharm并启用auto+import时，我应该添加更多的信息。|offset|length|style|CODE|918330|当你格式化代码时，代码from+mpl_toolkits.mplot3d+import+Axes3D会自动通过pycharm删除。|918331|所以，我的解决方案是|918332|from+mpl_toolkits.mplot3d+import+Axes3D
Axes3D+=+Axes3D++#+pycharm+auto+import
fig+=+plt.figure()
ax+=+fig.add_subplot(111,+projection='3d')|code-block|syntax|javascript|918333|它工作得很好！|918334|entityMap^0|0|G|B|0|B|13|0|0|0|0^^$0|@$1|2|3|4|5|6|7|U|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|V|8|@$D|W|E|X|F|G]]|9|@]|A|$]]|$1|H|3|I|5|6|7|Y|8|@$D|Z|E|10|F|G]]|9|@]|A|$]]|$1|J|3|K|5|6|7|11|8|@]|9|@]|A|$]]|$1|L|3|M|5|N|7|12|8|@]|9|@]|A|$O|P]]|$1|Q|3|R|5|6|7|13|8|@]|9|@]|A|$]]|$1|S|3|-4|5|6|7|14|8|@]|9|@]|A|$]]]|T|$]]

I encounter the same problem, and @Joe Kington and @bvanlew's answer solve my problem.

but I should add more infomation when you use pycharm and enable <code>auto import</code>.

when you format the code, the code <code>from mpl_toolkits.mplot3d import Axes3D</code> will auto remove by pycharm.

so, my solution is

<pre><code>from mpl_toolkits.mplot3d import Axes3D
Axes3D = Axes3D # pycharm auto import
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
</code></pre>

and it works well!

blocks|key|1133036|text|试试这个：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1133037|import+matplotlib.pyplot+as+plt
import+seaborn+as+sns
from+mpl_toolkits.mplot3d+import+axes3d

fig=plt.figure(figsize=(16,12.5))
ax=fig.add_subplot(2,2,1,projection="3d")

a=ax.scatter(Dataframe['bedrooms'],Dataframe['bathrooms'],Dataframe['floors'])
plt.plot(a)|code-block|syntax|javascript|1133038|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|$]]

Try this:

<pre class="lang-py prettyprint-override"><code>import matplotlib.pyplot as plt
import seaborn as sns
from mpl_toolkits.mplot3d import axes3d

fig=plt.figure(figsize=(16,12.5))
ax=fig.add_subplot(2,2,1,projection="3d")

a=ax.scatter(Dataframe['bedrooms'],Dataframe['bathrooms'],Dataframe['floors'])
plt.plot(a)
</code></pre>

blocks|key|918399|text|正如在其他评论中建议的那样，我发现导入"axes3d“解决了这个问题：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|918400|from+mpl_toolkits.mplot3d+import+Axes3D|code-block|syntax|javascript|918401|如果使用较旧版本的matplotlib.pyplot，似乎需要这样做|918402|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|L|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|M|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

As recommended in other comments I found that importing &quot;axes3d&quot; resolved the issue:
<pre><code>from mpl_toolkits.mplot3d import Axes3D
</code></pre>
It seems that this is needed if using an older version of matplotlib.pyplot

I just installed matplotlib and am trying to run one of there example scripts. However I run into the error detailed below. What am I doing wrong? 

<pre><code>from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt

fig = plt.figure()
ax = fig.gca(projection='3d')
X, Y, Z = axes3d.get_test_data(0.05)
cset = ax.contour(X, Y, Z, 16, extend3d=True)
ax.clabel(cset, fontsize=9, inline=1)

plt.show()
</code></pre>

The error is 

<pre><code>Traceback (most recent call last):
 File "&lt;string&gt;", line 245, in run_nodebug
 File "&lt;module1&gt;", line 5, in &lt;module&gt;
 File "C:\Python26\lib\site-packages\matplotlib\figure.py", line 945, in gca
 return self.add_subplot(111, **kwargs)
 File "C:\Python26\lib\site-packages\matplotlib\figure.py", line 677, in add_subplot
 projection_class = get_projection_class(projection)
 File "C:\Python26\lib\site-packages\matplotlib\projections\__init__.py", line 61, in get_projection_class
 raise ValueError("Unknown projection '%s'" % projection)
ValueError: Unknown projection '3d'
</code></pre>

Matplotlib: "Unknown projection '3d'" error

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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我刚刚安装了matplotlib，并且正在尝试运行其中一个示例脚本。但是，我遇到了下面详细说明的错误。我做错了什么？from mpl_toolkits.mplot3d import axes3dimport matplotlib.pyplot as pltfig = plt.figure()ax = fig.gca(p...

问Matplotlib：“未知投影'3d'”错误
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