Try/except intermittently failing basemaps in geospatial examples (ne…

…tworkx#7324)

* Temporarily make poinst geospatial example non-executable.

Revert this when contextily basemap issue is improved.

* Revert "Temporarily rm geospatial examples to fix CI. (networkx#7299)"

This reverts commit fce5d7d.

* Revert "Temporarily make poinst geospatial example non-executable."

This reverts commit 02927e3.

* Try/except add_basemap in geospatial examples.

examples/geospatial/delaunay.py → examples/geospatial/plot_delaunay.py

@@ -58,7 +58,11 @@
 
 # Now, we can plot with a nice basemap.
 ax = cells.plot(facecolor="lightblue", alpha=0.50, edgecolor="cornsilk", linewidth=2)
-add_basemap(ax)
+try:  # Try-except for issues with timeout/parsing failures in CI
+    add_basemap(ax)
+except:
+    pass
+
 ax.axis("off")
 nx.draw(
     delaunay_graph,

examples/geospatial/lines.py → examples/geospatial/plot_lines.py

@@ -76,7 +76,10 @@
 for i, facet in enumerate(ax):
     facet.set_title(("Streets", "Graph")[i])
     facet.axis("off")
-    add_basemap(facet)
+    try:  # For issues with downloading/parsing in CI
+        add_basemap(facet)
+    except:
+        pass
 nx.draw(
     G_primal, {n: [n[0], n[1]] for n in list(G_primal.nodes)}, ax=ax[1], node_size=50
 )
@@ -92,7 +95,10 @@
 for i, facet in enumerate(ax):
     facet.set_title(("Streets", "Graph")[i])
     facet.axis("off")
-    add_basemap(facet)
+    try:  # For issues with downloading/parsing in CI
+        add_basemap(facet)
+    except:
+        pass
 nx.draw(G_dual, {n: [n[0], n[1]] for n in list(G_dual.nodes)}, ax=ax[1], node_size=50)
 plt.show()
 

examples/geospatial/plot_points.py

@@ -51,7 +51,10 @@
 f, ax = plt.subplots(1, 2, figsize=(8, 4))
 for i, facet in enumerate(ax):
     cases.plot(marker=".", color="orangered", ax=facet)
-    add_basemap(facet)
+    try:  # For issues with downloading/parsing basemaps in CI
+        add_basemap(facet)
+    except:
+        pass
     facet.set_title(("KNN-3", "50-meter Distance Band")[i])
     facet.axis("off")
 nx.draw(knn_graph, positions, ax=ax[0], node_size=5, node_color="b")