Captioned appendix figures.

Polished some figures.
Shortened existing figure captions.

python/fig_saturation_log-hp_appendix.py

@@ -90,6 +90,12 @@ text_kwargs = dict(
     ha='right',
     va='top',
 )
+plateau_dot_kwargs = dict(
+    marker='o',
+    markersize=8,
+    markeredgewidth=1,
+    clip_on=False,
+)
 
 # Prepare graph:
 fig, axes = plt.subplots(**fig_kwargs)
@@ -111,12 +117,22 @@ for species, ax in zip(target_species, axes):
     # Plot distribution of saturation points:
     handles.append(ax.bar(bins, hist, width=bins[1] - bins[0], fc=color, **bar_kwargs))
     ax.set_ylim(0, hist.max() * 1.05)
+    if species == 'Gomphocerippus_rufus':
+        ax.yaxis.set_major_locator(plt.MultipleLocator(0.05))
+    else:
+        ax.yaxis.set_major_locator(plt.MultipleLocator(0.03))
 
     # Indicate mean of distribution:
-    ax.axvline(data['crit_scales'].mean(), **mean_kwargs)
+    # ax.axvline(data['crit_scales'].mean(), **mean_kwargs)
 
     # Indicate number of songs:
-    ax.text(**text_kwargs, s=f'n = {n_songs}', transform=ax.transAxes)
+    ax.text(**text_kwargs, s=f'n={n_songs}', transform=ax.transAxes)
+
+    # Indicate saturation point of condensed curve:
+    ax.plot(data['crit_scale'], 0, c='w', alpha=1, zorder=5.5,
+            transform=ax.get_xaxis_transform(), **plateau_dot_kwargs) 
+    ax.plot(data['crit_scale'], 0, mfc=color, mec='k', alpha=0.75, zorder=6,
+            transform=ax.get_xaxis_transform(), **plateau_dot_kwargs)
 
 # Posthocs:
 labels = [shorten_species(species) for species in target_species]