--- a/examples/inverse_transform_example.py
+++ b/examples/inverse_transform_example.py
@@ -41,7 +41,6 @@
 plt.scatter(
     trans.embedding_[:, 0],
     trans.embedding_[:, 1],
-    c=mnist.target,
     cmap="Spectral",
     s=0.25,
 )
@@ -58,3 +57,4 @@
         ax[i, j].get_yaxis().set_visible(False)
 
 plt.show()
+plt.close()
--- a/examples/mnist_torus_sphere_example.py
+++ b/examples/mnist_torus_sphere_example.py
@@ -32,6 +32,7 @@
         trans.embedding_[:, 0], trans.embedding_[:, 1], c=y_train, cmap="Spectral"
     )
     plt.show()
+    plt.close()
 
 if "torus" in target_spaces:
     # embed onto a torus
@@ -86,7 +87,7 @@
         x, y, z, y_train, colormap="spectral", scale_mode="none", scale_factor=0.1
     )
 
-    mlab.show()
+    mlab.savefig('torus.png')
 
 if "sphere" in target_spaces:
     # embed onto a sphere
@@ -117,4 +118,4 @@
         x, y, z, y_train, colormap="spectral", scale_mode="none", scale_factor=0.2
     )
 
-    mlab.show()
+    mlab.savefig('sphere.png')
--- a/examples/mnist_transform_new_data.py
+++ b/examples/mnist_transform_new_data.py
@@ -35,10 +35,10 @@
 
 fig, ax = plt.subplots(1, 2, sharex=True, sharey=True, figsize=(12, 10))
 ax[0].scatter(
-    embedding_train[:, 0], embedding_train[:, 1], c=y_train, cmap="Spectral"  # , s=0.1
+    embedding_train[:, 0], embedding_train[:, 1], cmap="Spectral"  # , s=0.1
 )
 ax[1].scatter(
-    embedding_test[:, 0], embedding_test[:, 1], c=y_test, cmap="Spectral"  # , s=0.1
+    embedding_test[:, 0], embedding_test[:, 1], cmap="Spectral"  # , s=0.1
 )
 plt.setp(ax[0], xticks=[], yticks=[])
 plt.setp(ax[1], xticks=[], yticks=[])
@@ -46,3 +46,4 @@
 ax[0].set_title("Training Set", fontsize=12)
 ax[1].set_title("Test Set", fontsize=12)
 plt.show()
+plt.close()