[英]Matplotlib complains about shape of networkx adjacency matrix
以下代码导致在figaspect
解figaspect
我的矩阵的形状时figaspect
,但是该形状似乎是正确的(4 x 4 2D数组)。 我在做蠢事吗?
import networkx as nx
import matplotlib.pyplot as plt
g = nx.Graph()
g.add_edge(1, 2)
g.add_edge(2, 3)
g.add_edge(3, 4)
matrix = nx.to_scipy_sparse_matrix(g)
print(matrix.shape)
plt.matshow(matrix)
plt.show()
错误:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-118-70cfbe8cdb62> in <module>
7 matrix = nx.to_scipy_sparse_matrix(g)
8 print(matrix.shape)
----> 9 plt.matshow(matrix)
10 plt.show()
/usr/local/lib/python3.7/site-packages/matplotlib/pyplot.py in matshow(A, fignum, **kwargs)
2180 # Extract actual aspect ratio of array and make appropriately sized
2181 # figure.
-> 2182 fig = figure(fignum, figsize=figaspect(A))
2183 ax = fig.add_axes([0.15, 0.09, 0.775, 0.775])
2184 im = ax.matshow(A, **kwargs)
/usr/local/lib/python3.7/site-packages/matplotlib/figure.py in figaspect(arg)
2740 # Extract the aspect ratio of the array
2741 if isarray:
-> 2742 nr, nc = arg.shape[:2]
2743 arr_ratio = nr / nc
2744 else:
ValueError: not enough values to unpack (expected 2, got 0)
但打印的形状是(4,4)
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