Merge pull request #11821 from ImportanceOfBeingErnest/doc-removemulticolumn

tacaswell · web-flow · commit aee1772e1ae9 · 2018-08-07T21:18:56.000-04:00
DOC: remove multicolumns from examples
diff --git a/doc/_static/mpl.css b/doc/_static/mpl.css
@@ -1059,6 +1059,10 @@ div#gallery.section, div#tutorials.section {
     overflow: hidden;
 }
 
+.sphx-glr-multi-img{
+    max-width: 99% !important;
+}
+
 .sphx-glr-thumbcontainer {
     border: solid #d6d6d6 1px !important;
     text-align: center !important;
diff --git a/examples/color/colormap_reference.py b/examples/color/colormap_reference.py
@@ -40,30 +40,31 @@
             'gist_rainbow', 'rainbow', 'jet', 'nipy_spectral', 'gist_ncar'])]
 
 
-nrows = max(len(cmap_list) for cmap_category, cmap_list in cmaps)
 gradient = np.linspace(0, 1, 256)
 gradient = np.vstack((gradient, gradient))
 
 
-def plot_color_gradients(cmap_category, cmap_list, nrows):
-    fig, axes = plt.subplots(nrows=nrows)
-    fig.subplots_adjust(top=0.95, bottom=0.01, left=0.2, right=0.99)
+def plot_color_gradients(cmap_category, cmap_list):
+    # Create figure and adjust figure height to number of colormaps
+    nrows = len(cmap_list)
+    figh = 0.35 + 0.15 + (nrows + (nrows-1)*0.1)*0.22
+    fig, axes = plt.subplots(nrows=nrows, figsize=(6.4, figh))
+    fig.subplots_adjust(top=1-.35/figh, bottom=.15/figh, left=0.2, right=0.99)
+
     axes[0].set_title(cmap_category + ' colormaps', fontsize=14)
 
     for ax, name in zip(axes, cmap_list):
         ax.imshow(gradient, aspect='auto', cmap=plt.get_cmap(name))
-        pos = ax.get_position().bounds
-        x_text = pos[0] - 0.01
-        y_text = pos[1] + pos[3]/2.
-        fig.text(x_text, y_text, name, va='center', ha='right', fontsize=10)
+        ax.text(-.01, .5, name, va='center', ha='right', fontsize=10,
+                transform=ax.transAxes)
 
     # Turn off *all* ticks & spines, not just the ones with colormaps.
     for ax in axes:
         ax.set_axis_off()
 
 
 for cmap_category, cmap_list in cmaps:
-    plot_color_gradients(cmap_category, cmap_list, nrows)
+    plot_color_gradients(cmap_category, cmap_list)
 
 plt.show()
 
