Tidy up plot

slr/get_slr_distributions.py

@@ -100,6 +100,10 @@ if PLOT:
     for i, row in dff.iterrows():
         j += 1
 
+        x_min = row[5] + (row[5] - row[50])
+        x_max = row[95] + (row[95] - row[50])
+        x = np.linspace(x_min, x_max, num=1000)
+
         y = stats.cauchy(loc=row['loc'], scale=row['scale']).pdf(x)
         ax.plot(x, y * row['scale'], c=c[j])
         if j % 2 == 0:
@@ -109,7 +113,7 @@ if PLOT:
                         clip_on=False,
                         rotation=90)
 
-    ax.set_ylim(top=0.35)
+    ax.set_ylim(bottom=0, top=0.35)
     ax.set_yticks([])
     ax.set_xlabel('SLR (m)', labelpad=10)
     ax.set_ylabel('Normalised probability density (-)', labelpad=10)
@@ -117,3 +121,5 @@ if PLOT:
     ax.spines['top'].set_visible(False)
     ax.spines['right'].set_visible(False)
     plt.show()
+
+