diff --git a/examples/eigenvalue_concentration.py b/examples/eigenvalue_concentration.py
index e47c78cf..c372bf2a 100644
--- a/examples/eigenvalue_concentration.py
+++ b/examples/eigenvalue_concentration.py
@@ -11,7 +11,7 @@
 import pygsp as pg
 
 n_neighbors = [1, 2, 5, 8]
-fig, axes = plt.subplots(4, len(n_neighbors), figsize=(15, 10))
+fig, axes = plt.subplots(3, len(n_neighbors), figsize=(15, 8))
 
 for k, ax in zip(n_neighbors, axes.T):
 
@@ -22,8 +22,8 @@
     ax[1].spy(graph.W)
     ax[2].plot(graph.e, '.')
     ax[2].set_title('k={}'.format(k))
-    graph.set_coordinates('line1D')
-    graph.plot(graph.U[:, :4], ax=ax[3], title='')
+    #graph.set_coordinates('line1D')
+    #graph.plot(graph.U[:, :4], ax=ax[3], title='')
 
     # Check that the DFT matrix is an eigenbasis of the Laplacian.
     U = np.fft.fft(np.identity(graph.n_vertices))