Updated formatting

Experiments/plot_coverage_vs_q.py

@@ -67,7 +67,7 @@ def coverage_diagonal_plot(eiv_coverages, noneiv_coverages, color,
     plt.fill_between(x_values,
             mean_eiv_numerical_coverage - std_eiv_numerical_coverage,
             mean_eiv_numerical_coverage + std_eiv_numerical_coverage, 
-            color=color, alpha=0.5)
+            color=color, alpha=0.1)
     # non-EiV
     # take mean/std over seed dimension
     mean_noneiv_numerical_coverage = np.mean(noneiv_numerical_coverage, axis=-1)
@@ -88,7 +88,7 @@ def coverage_diagonal_plot(eiv_coverages, noneiv_coverages, color,
     plt.fill_between(x_values,
             mean_noneiv_numerical_coverage - std_noneiv_numerical_coverage,
             mean_noneiv_numerical_coverage + std_noneiv_numerical_coverage,
-            color=color, alpha=0.3)
+            color=color, alpha=0.1)
 
 
 

Experiments/plot_summary.py

@@ -152,7 +152,7 @@ for i, ([(eiv_metric_mean, eiv_metric_std),
                     color=colors[2],
                     alpha=0.5)
 plt.axhline(0.95,0.0,1.0,color='k', linestyle='dashed')
-plt.ylim(bottom=0, top=ymax)
+plt.ylim(bottom=-0.045, top=ymax)
 ax = plt.gca()
 ax.set_xticks(np.arange(1,len(data_list)+1))
 ax.set_xticklabels(data_list, rotation='vertical')