Zero SLR based on fitted distributions, not input data (diff is 2mm)

inputs/distributions.py

@@ -40,9 +40,6 @@ dff = df.loc[838, 'total', 'medium', 'ssp585'].T
 dff.index.name = 'year'
 percentiles = dff.columns.values / 100
 
-# Make SLR relative to 2020 level (at the 50th percentile)
-dff -= dff.loc[2020, 50]
-
 for i, row in dff.iterrows():
     values = row.values
 
@@ -102,6 +99,9 @@ for i, row in dff.iterrows():
 
         plt.show()
 
+# Make SLR relative to 2020 level (at the 50th percentile)
+dff -= dff.loc[2020, 'mode']
+
 # Save distribution parameters
 dff[['min', 'mode', 'max']].to_csv('triang-values.csv', float_format='%0.3f')