Auto calculation of Laplacian Eigenmap throws error
scottgigante opened this issue · 2 comments
scottgigante commented
I think this might be my own fault from when I added the truncated eigendecomposition.
import pygsp
G = pygsp.graphs.RandomRegular()
G.set_coordinates(kind='laplacian_eigenmap2D')
G.plot()
throws
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-338-4a8fe3272aa9> in <module>
2 G = pygsp.graphs.RandomRegular()
3 G.set_coordinates(kind='laplacian_eigenmap2D')
----> 4 G.plot()
~/.local/lib/python3.7/site-packages/pygsp/graphs/graph.py in plot(self, vertex_color, vertex_size, highlight, edges, edge_color, edge_width, indices, colorbar, limits, ax, title, backend)
897 edges=edges, indices=indices, colorbar=colorbar,
898 edge_color=edge_color, edge_width=edge_width,
--> 899 limits=limits, ax=ax, title=title, backend=backend)
900
901 def plot_signal(self, *args, **kwargs):
~/.local/lib/python3.7/site-packages/pygsp/plotting.py in _plot_graph(G, vertex_color, vertex_size, highlight, edges, edge_color, edge_width, indices, colorbar, limits, ax, title, backend)
382 check_2d_3d = (G.coords.ndim != 2) or (G.coords.shape[1] not in [2, 3])
383 if G.coords.ndim != 1 and check_2d_3d:
--> 384 raise AttributeError('Coordinates should be in 1D, 2D or 3D space.')
385 if G.coords.shape[0] != G.N:
386 raise AttributeError('Graph needs G.N = {} coordinates.'.format(G.N))
AttributeError: Coordinates should be in 1D, 2D or 3D space.
and on inspection, G.coords.shape == (64, 1).
scottgigante commented
Nevermind, I had a version that was newer than the latest PyPi version, but older than master. Sorry for the noise!