Add test for new spine capstyle, workaround PDF rendering errors in l…

…ow-dpi tests.
matplotlib · mdboom · Nov 8, 2013 · Oct 24, 2013 · Oct 24, 2013 · Nov 8, 2013
commit ed67aa3d97dfa4e7d5379577f4ef352b25258a6b
diff --git a/lib/matplotlib/tests/baseline_images/test_axes/twin_spines_on_top.png b/lib/matplotlib/tests/baseline_images/test_axes/twin_spines_on_top.png
diff --git a/lib/matplotlib/tests/baseline_images/test_image/rasterize_10dpi.pdf b/lib/matplotlib/tests/baseline_images/test_image/rasterize_10dpi.pdf
diff --git a/lib/matplotlib/tests/baseline_images/test_image/rasterize_10dpi.svg b/lib/matplotlib/tests/baseline_images/test_image/rasterize_10dpi.svg
diff --git a/lib/matplotlib/tests/baseline_images/test_spines/spines_capstyle.pdf b/lib/matplotlib/tests/baseline_images/test_spines/spines_capstyle.pdf
diff --git a/lib/matplotlib/tests/baseline_images/test_spines/spines_capstyle.png b/lib/matplotlib/tests/baseline_images/test_spines/spines_capstyle.png
diff --git a/lib/matplotlib/tests/baseline_images/test_spines/spines_capstyle.svg b/lib/matplotlib/tests/baseline_images/test_spines/spines_capstyle.svg
diff --git a/lib/matplotlib/tests/test_image.py b/lib/matplotlib/tests/test_image.py
@@ -290,6 +290,14 @@ def test_rasterize_dpi():
 
     axes[2].plot([0,1],[0,1], linewidth=20.)
     axes[2].set(xlim = (0,1), ylim = (-1, 2))
+
+    # Low-dpi PDF rasterization errors prevent proper image comparison tests.
+    # Hide detailed structures like the axes spines.
+    for ax in axes:
+        ax.set_xticks([])
+        ax.set_yticks([])
+        for spine in ax.spines.values():
+            spine.set_visible(False)
 
     rcParams['savefig.dpi'] = 10
 

diff --git a/lib/matplotlib/tests/test_spines.py b/lib/matplotlib/tests/test_spines.py
@@ -34,3 +34,12 @@ def test_spines_data_positions():
     ax.spines['bottom'].set_position('zero')
     ax.set_xlim([-2,2])
     ax.set_ylim([-2,2])
+
+@image_comparison(baseline_images=['spines_capstyle'])
+def test_spines_capstyle():
+    # issue 2542
+    plt.rc('axes', linewidth=20)
+    fig = plt.figure()
+    ax = fig.add_subplot(1,1,1)
+    ax.set_xticks([])
+    ax.set_yticks([])