Sync doctests with newer matplotlib

src/graph_tool/correlations/__init__.py

@@ -260,9 +260,9 @@ def corr_hist(g, deg_source, deg_target, bins=[[0, 1], [0, 1]], weight=None,
        >>> h = gt.corr_hist(g, "out", "out")
        >>> clf()
        >>> xlabel("Source out-degree")
-       <...>
+       Text(...)
        >>> ylabel("Target out-degree")
-       <...>
+       Text(...)
        >>> imshow(h[0].T, interpolation="nearest", origin="lower")
        <...>
        >>> colorbar()
@@ -357,9 +357,9 @@ def combined_corr_hist(g, deg1, deg2, bins=[[0, 1], [0, 1]], float_count=True):
        >>> h = gt.combined_corr_hist(g, "in", "out")
        >>> clf()
        >>> xlabel("In-degree")
-       <...>
+       Text(...)
        >>> ylabel("Out-degree")
-       <...>
+       Text(...)
        >>> imshow(h[0].T, interpolation="nearest", origin="lower")
        <...>
        >>> colorbar()
@@ -462,9 +462,9 @@ def avg_neighbor_corr(g, deg_source, deg_target, bins=[0, 1], weight=None):
        >>> h = gt.avg_neighbor_corr(g, "out", "out")
        >>> clf()
        >>> xlabel("Source out-degree")
-       <...>
+       Text(...)
        >>> ylabel("Target out-degree")
-       <...>
+       Text(...)
        >>> errorbar(h[2][:-1], h[0], yerr=h[1], fmt="o")
        <...>
        >>> savefig("avg_corr.svg")
@@ -552,9 +552,9 @@ def avg_combined_corr(g, deg1, deg2, bins=[0, 1]):
        >>> h = gt.avg_combined_corr(g, "in", "out")
        >>> clf()
        >>> xlabel("In-degree")
-       <...>
+       Text(...)
        >>> ylabel("Out-degree")
-       <...>
+       Text(...)
        >>> errorbar(h[2][:-1], h[0], yerr=h[1], fmt="o")
        <...>
        >>> savefig("combined_avg_corr.svg")

src/graph_tool/generation/__init__.py

@@ -231,9 +231,9 @@ def random_graph(N, deg_sampler, directed=True,
     >>> colorbar()
     <...>
     >>> xlabel("in-degree")
-    <...>
+    Text(...)
     >>> ylabel("out-degree")
-    <...>
+    Text(...)
     >>> tight_layout()
     >>> savefig("combined-deg-hist.svg")
 
@@ -289,9 +289,9 @@ def random_graph(N, deg_sampler, directed=True,
     >>> legend(loc='center left', bbox_to_anchor=(1, 0.5))
     <...>
     >>> xlabel("Source degree")
-    <...>
+    Text(...)
     >>> ylabel("Average target degree")
-    <...>
+    Text(...)
     >>> tight_layout()
     >>> box = gca().get_position()
     >>> gca().set_position([box.x0, box.y0, box.width * 0.7, box.height])
@@ -700,9 +700,9 @@ def random_rewire(g, model="configuration", n_iter=1, edge_sweep=True,
     >>> errorbar(corr[2][:-1], corr[0], yerr=corr[1], fmt="o-", label=r"Erd\H{o}s")
     <...>
     >>> xlabel("$k$")
-    <...>
+    Text(...)
     >>> ylabel(r"$\left<k_{nn}\right>$")
-    <...>
+    Text(...)
     >>> legend(loc='center left', bbox_to_anchor=(1, 0.5))
     <...>
     >>> tight_layout()
@@ -762,9 +762,9 @@ def random_rewire(g, model="configuration", n_iter=1, edge_sweep=True,
     >>> legend(loc='center left', bbox_to_anchor=(1, 0.5))
     <...>
     >>> xlabel("Source degree")
-    <...>
+    Text(...)
     >>> ylabel("Average target degree")
-    <...>
+    Text(...)
     >>> tight_layout()
     >>> box = gca().get_position()
     >>> gca().set_position([box.x0, box.y0, box.width * 0.55, box.height])

src/graph_tool/spectral/__init__.py

@@ -114,9 +114,9 @@ def adjacency(g, weight=None, index=None):
     >>> scatter(real(ew), imag(ew), c=sqrt(abs(ew)), linewidths=0, alpha=0.6)
     <...>
     >>> xlabel(r"$\operatorname{Re}(\lambda)$")
-    <...>
+    Text(...)
     >>> ylabel(r"$\operatorname{Im}(\lambda)$")
-    <...>
+    Text(...)
     >>> tight_layout()
     >>> savefig("adjacency-spectrum.pdf")
 
@@ -239,9 +239,9 @@ def laplacian(g, deg="total", normalized=False, weight=None, index=None):
     >>> scatter(real(ew), imag(ew), c=sqrt(abs(ew)), linewidths=0, alpha=0.6)
     <...>
     >>> xlabel(r"$\operatorname{Re}(\lambda)$")
-    <...>
+    Text(...)
     >>> ylabel(r"$\operatorname{Im}(\lambda)$")
-    <...>
+    Text(...)
     >>> tight_layout()
     >>> savefig("laplacian-spectrum.pdf")
 
@@ -263,9 +263,9 @@ def laplacian(g, deg="total", normalized=False, weight=None, index=None):
     >>> scatter(real(ew), imag(ew), c=sqrt(abs(ew)), linewidths=0, alpha=0.6)
     <...>
     >>> xlabel(r"$\operatorname{Re}(\lambda)$")
-    <...>
+    Text(...)
     >>> ylabel(r"$\operatorname{Im}(\lambda)$")
-    <...>
+    Text(...)
     >>> tight_layout()
     >>> savefig("norm-laplacian-spectrum.pdf")
 
@@ -467,9 +467,9 @@ def transition(g, weight=None, index=None):
     >>> scatter(real(ew), imag(ew), c=sqrt(abs(ew)), linewidths=0, alpha=0.6)
     <...>
     >>> xlabel(r"$\operatorname{Re}(\lambda)$")
-    <...>
+    Text(...)
     >>> ylabel(r"$\operatorname{Im}(\lambda)$")
-    <...>
+    Text(...)
     >>> tight_layout()
     >>> savefig("transition-spectrum.pdf")
 
@@ -564,9 +564,9 @@ def modularity_matrix(g, weight=None, index=None):
     >>> scatter(real(ew), imag(ew), c=sqrt(abs(ew)), linewidths=0, alpha=0.6)
     <...>
     >>> xlabel(r"$\operatorname{Re}(\lambda)$")
-    <...>
+    Text(...)
     >>> ylabel(r"$\operatorname{Im}(\lambda)$")
-    <...>
+    Text(...)
     >>> tight_layout()
     >>> savefig("modularity-spectrum.pdf")
 

src/graph_tool/topology/__init__.py

@@ -1303,9 +1303,9 @@ def vertex_percolation(g, vertices):
     >>> plot(sizes2, label="Random")
     [...]
     >>> xlabel("Vertices remaining")
-    <...>
+    Text(...)
     >>> ylabel("Size of largest component")
-    <...>
+    Text(...)
     >>> legend(loc="lower right")
     <...>
     >>> savefig("vertex-percolation.svg")
@@ -1389,9 +1389,9 @@ def edge_percolation(g, edges):
     >>> plot(sizes2, label="Random")
     [...]
     >>> xlabel("Edges remaining")
-    <...>
+    Text(...)
     >>> ylabel("Size of largest component")
-    <...>
+    Text(...)
     >>> legend(loc="lower right")
     <...>
     >>> savefig("edge-percolation.svg")