blocks|key|3569468|text|您必须使用Poly3DCollection而不是PolyCollection：|type|unstyled|depth|inlineStyleRanges|offset|length|style|BOLD|entityRanges|data|3569469|from+mpl_toolkits.mplot3d+import+Axes3D
from+mpl_toolkits.mplot3d.art3d+import+Poly3DCollection
import+matplotlib.pyplot+as+plt
fig+=+plt.figure()
ax+=+Axes3D(fig)
x+=+[0,1,1,0]
y+=+[0,0,1,1]
z+=+[0,1,0,1]
verts+=+[zip(x,y,z)]
ax.add_collection3d(Poly3DCollection(verts),+zs=z)
plt.show()|code-block|syntax|javascript|3569470|​|3569471|📷|atomic|3569472|3569473|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://developer.qcloudimg.com/http-save/yehe-900000/1ecc325c560f8c2e4d7eb1f6858f8768.png|imageAlt^0|5|G|0|0|0|0|1|0|0|0^^$0|@$1|2|3|4|5|6|7|Z|8|@$9|10|A|11|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|12|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|13|8|@]|D|@]|E|$]]|$1|M|3|N|5|O|7|14|8|@]|D|@$9|15|A|16|1|17]]|E|$]]|$1|P|3|L|5|6|7|18|8|@]|D|@]|E|$]]|$1|Q|3|-4|5|6|7|19|8|@]|D|@]|E|$]]]|R|$S|$5|T|U|V|E|$W|X|Y|-4]]]]

You have to use Poly3DCollection instead of PolyCollection:

<pre><code>from mpl_toolkits.mplot3d import Axes3D
from mpl_toolkits.mplot3d.art3d import Poly3DCollection
import matplotlib.pyplot as plt
fig = plt.figure()
ax = Axes3D(fig)
x = [0,1,1,0]
y = [0,0,1,1]
z = [0,1,0,1]
verts = [zip(x,y,z)]
ax.add_collection3d(Poly3DCollection(verts), zs=z)
plt.show()
</code></pre>

<a href="https://i.stack.imgur.com/AXztw.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/AXztw.png" alt="enter image description here"></a>

blocks|key|2815482|text|我在拉链上也遇到过类似的问题。我支持这个论点，它是python2.xvs.3.x的东西。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2815483|然而，我找到了一个明显有效的地方：|2815484|from+mpl_toolkits.mplot3d+import+Axes3D
from+mpl_toolkits.mplot3d.art3d+import+Poly3DCollection
import+matplotlib.pyplot+as+plt

fig+=+plt.figure()
ax+=+Axes3D(fig)
x+=+[0,+1,+1,+0]
y+=+[0,+0,+1,+1]
z+=+[0,+1,+0,+1]
verts+=+[list(zip(x,+y,+z))]
print(verts)
ax.add_collection3d(Poly3DCollection(verts),+zs='z')
plt.show()|code-block|syntax|javascript|2815485|因此，我做了两个改变：|2815486|将行：from+matplotlib.collections+import+Poly3DCollection替换为：from+matplotlib.mplot3.art3d+import+Poly3DCollection。
我不知道你的导入语句是从哪里来的，但它似乎不适用于我|ordered-list-item|offset|length|style|CODE|2815487|更改行：verts+=+list(zip(x,y,z))改为verts+=+[list(zip(x,+y,+z))]|2815488|不知何故，后者似乎奏效了。刚开始从巨蟒开始，我无法给出一个铁板一块的解释。但是，这里没有什么:类Poly3DCollection需要一个“集合”作为第一个输入参数，因此需要一个列表列表。在这种情况下，只给出list，因此假定没有一个级别。通过向其添加另一个级别(通过.)啊，真灵。|2815489|我不知道这个解释是否有意义，尽管它对我来说很合我的直觉；|2815490|这些修改似乎有效，因为这段代码创建了所需的三维多边形(我注意到，由于这是我的第一篇文章，我不允许发布布丁图的证明.)|2815491|希望这是有用的|2815492|亲切问候|2815493|entityMap^0|0|0|0|0|3|1F|1M|1G|0|4|O|U|S|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|15|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|16|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|17|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|18|8|@]|9|@]|A|$]]|$1|K|3|L|5|M|7|19|8|@$N|1A|O|1B|P|Q]|$N|1C|O|1D|P|Q]]|9|@]|A|$]]|$1|R|3|S|5|M|7|1E|8|@$N|1F|O|1G|P|Q]|$N|1H|O|1I|P|Q]]|9|@]|A|$]]|$1|T|3|U|5|6|7|1J|8|@]|9|@]|A|$]]|$1|V|3|W|5|6|7|1K|8|@]|9|@]|A|$]]|$1|X|3|Y|5|6|7|1L|8|@]|9|@]|A|$]]|$1|Z|3|10|5|6|7|1M|8|@]|9|@]|A|$]]|$1|11|3|12|5|6|7|1N|8|@]|9|@]|A|$]]|$1|13|3|-4|5|6|7|1O|8|@]|9|@]|A|$]]]|14|$]]

I've had a similar problem with the zipping. I support the thesis it is a python 2.x vs 3.x thing.

However, I've found somewhere that apparently works:

<pre><code>from mpl_toolkits.mplot3d import Axes3D
from mpl_toolkits.mplot3d.art3d import Poly3DCollection
import matplotlib.pyplot as plt

fig = plt.figure()
ax = Axes3D(fig)
x = [0, 1, 1, 0]
y = [0, 0, 1, 1]
z = [0, 1, 0, 1]
verts = [list(zip(x, y, z))]
print(verts)
ax.add_collection3d(Poly3DCollection(verts), zs='z')
plt.show()
</code></pre>

I've thus made two changes:

<ol>
<li>replaced the line: 
<code>from matplotlib.collections import Poly3DCollection</code> 
by:
<code>from matplotlib.mplot3.art3d import Poly3DCollection</code>.

I don't know where your import statement originates from, but it didn't seem to work for me</li>
<li>changed the line: <code>verts = list(zip(x,y,z))</code> to <code>verts =
[list(zip(x, y, z))]</code> </li>
</ol>

Somehow, the latter seems to work. Having just started myself with python, I cannot offer an iron-clad explanation. However, here goes nothing: the class Poly3DCollection requires as the first input parameter a "collection", hence a list of lists. In this case, only list is given, which is assumed thus missed a level. By adding another level to it (via the [...]) it worked.

I've got no idea if this explanation makes sense, however it fits intuitively to me ;)

These modifications seem to work, as this code creates the desired 3D polygon (I've noticed that since this is my first post, I'm not allowed to post a proof-of-the-pudding figure.... ) 

hope this was useful,

kind regards

blocks|key|3674147|text|下面是一个当前的解决方案，如果您得到了错误的ValueError:+not+enough+values+to+unpack+(expected+3,+got+1)，原因是verts是如何在其他解决方案中构造的：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|3674148|from+mpl_toolkits.mplot3d+import+Axes3D
from+mpl_toolkits.mplot3d.art3d+import+Poly3DCollection
import+matplotlib.pyplot+as+plt
fig+=+plt.figure()
ax+=+Axes3D(fig)
x+=+[0,1,1,0]
y+=+[0,0,1,1]
z+=+[0,1,0,1]
verts+=+[[xx,yy,zz]+for+xx,yy,zz+in+zip(x,y,z)]+++++#+NEW
ax.add_collection3d(Poly3DCollection(verts))
plt.show()|code-block|syntax|javascript|3674149|entityMap^0|M|1N|2D|5|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]|$9|P|A|Q|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|R|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|S|8|@]|D|@]|E|$]]]|L|$]]

Here is a current solution, in case you get the Error <code>ValueError: not enough values to unpack (expected 3, got 1)</code>, due to how <code>verts</code> is constructed in the other solutions:
<pre><code>from mpl_toolkits.mplot3d import Axes3D
from mpl_toolkits.mplot3d.art3d import Poly3DCollection
import matplotlib.pyplot as plt
fig = plt.figure()
ax = Axes3D(fig)
x = [0,1,1,0]
y = [0,0,1,1]
z = [0,1,0,1]
verts = [[xx,yy,zz] for xx,yy,zz in zip(x,y,z)] # NEW
ax.add_collection3d(Poly3DCollection(verts))
plt.show()

</code></pre>

In my quest to somehow get 3D polygons to actually plot, I came across the following script (EDIT: modified slightly): <a href="https://stackoverflow.com/questions/4622057/plotting-3d-polygons-in-python-matplotlib">Plotting 3D Polygons in python-matplotlib</a>

<pre><code>from mpl_toolkits.mplot3d import Axes3D
from matplotlib.collections import Poly3DCollection
import matplotlib.pyplot as plt
fig = plt.figure()
ax = Axes3D(fig)
x = [0,1,1,0]
y = [0,0,1,1]
z = [0,1,0,1]
verts = [zip(x, y,z)]
ax.add_collection3d(Poly3DCollection(verts),zs=z)
plt.show()
</code></pre>

But when I run that, I get the following error message:

<pre><code>TypeError: object of type 'zip' has no len()
</code></pre>

It seems that this may be a Python 2 vs. 3 thing, as I am running in Python 3, and that post is five years old. So I changed the third-to-last line to:

<pre><code>verts = list(zip(x, y, z))
</code></pre>

Now verts shows up in the variable list, but I still get an error:

<pre><code>TypeError: zip argument #1 must support iteration
</code></pre>

What? How do I fix this?

Plotting 3D Polygons in Python 3

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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在以某种方式使3D多边形实际绘制的过程中，我遇到了以下脚本(编辑:稍微修改一下)：from mpl_toolkits.mplot3d import Axes3Dfrom matplotlib.collections import Poly3DCollectionimport matplotlib.pyplot as p...

问用Python 3绘制三维多边形
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