None of the examples work

[EdenRochman]

I tried all the example with this matrix

adj_matrix = np.array([[0, 1, 1, 0, 0, 0],
[1, 0, 1, 0, 0, 0],
[1, 1, 0, 1, 0, 0],
[0, 0, 1, 0, 1, 1],
[0, 0, 0, 1, 0, 1],
[0, 0, 0, 1, 1, 0]])

And none of them work.

For instance, the first visualization traceback to
TypeError: m > k must hold

The first animation traceback to
ZeroDivisionError: division by zero

[adamFinastra]

Seeing the same issue

[lidunwei]

me too

[dinghongbi]

Is there anything method ？

[VinceLyn]

me too - -!

[maverick0220]

same exact problem, and I tried to debug with a randomly created ndarray, when the new ndarray has [{0, 3}, {1, 7}, {9, 2, 4, 5}, {8, 6}] as communities , the error become:

scipy.spatial.qhull.QhullError: QH6214 qhull input error: not enough points(2) to construct initial simplex (need 3)

While executing: | qhull i Qt
Options selected for Qhull 2019.1.r 2019/06/21:
run-id 1432627090 incidence Qtriangulate _pre-merge _zero-centrum
_maxoutside 0

So is this thing really works?

[HCoT-Hub]

The first one: Actually, I found many ways, and I find it seems that 151 line, in communities\visualization\draw_communities.py def _community_patch(vertices): tck, u = splprep(vertices.T, u=None, s=0.0, per=1) lost the key of the k——the default k is 3. So I changed it: tck, u = splprep(vertices.T, u=None, s=0.0, per=1, k=2). And it works. But I don't know it is right or not.

[HCoT-Hub]

refer to this link: https://stackoverflow.com/questions/29934831/matplotlib-draw-spline-from-3-points

[maverick0220]

it pops out a new error:

Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)

and my Python program "accidentally" dead(according to my system info, I'm using macOS Big Sur)
( ´Д`)y━･~~

[Mintcat10]

The first one: Actually, I found many ways, and I find it seems that 151 line, in communities\visualization\draw_communities.py def _community_patch(vertices): tck, u = splprep(vertices.T, u=None, s=0.0, per=1) lost the key of the k——the default k is 3. So I changed it: tck, u = splprep(vertices.T, u=None, s=0.0, per=1, k=2). And it works. But I don't know it is right or not.

I think you are right.
By the way, you can use bigger matrix,let the number of the least cluster more than 3, it will work.
Because in math, cubic spline interpolate need more than three points.
Or you can uses k=2，it is right too.

[xuzhongriyue1234ming]

me too

[sanbeichahegongheguo]

me too - -!

me too !!!

[zPz-002]

The first one: Actually, I found many ways, and I find it seems that 151 line, in communities\visualization\draw_communities.py def _community_patch(vertices): tck, u = splprep(vertices.T, u=None, s=0.0, per=1) lost the key of the k——the default k is 3. So I changed it: tck, u = splprep(vertices.T, u=None, s=0.0, per=1, k=2). And it works. But I don't know it is right or not.

it pops out a new error:
scipy.spatial.qhull.QhullError: QH6214 qhull input error: not enough points(1) to construct initial simplex (need 3)

While executing: | qhull i Qt
Options selected for Qhull 2019.1.r 2019/06/21:
run-id 1882796852 incidence Qtriangulate _pre-merge _zero-centrum
_maxoutside 0

[MakaBBaka]

The first one: Actually, I found many ways, and I find it seems that 151 line, in communities\visualization\draw_communities.py def _community_patch(vertices): tck, u = splprep(vertices.T, u=None, s=0.0, per=1) lost the key of the k——the default k is 3. So I changed it: tck, u = splprep(vertices.T, u=None, s=0.0, per=1, k=2). And it works. But I don't know it is right or not.

it pops out a new error: scipy.spatial.qhull.QhullError: QH6214 qhull input error: not enough points(1) to construct initial simplex (need 3)

While executing: | qhull i Qt Options selected for Qhull 2019.1.r 2019/06/21: run-id 1882796852 incidence Qtriangulate _pre-merge _zero-centrum _maxoutside 0

Did you solve it? I also ran into this problem with my own data