Output all raw quantile values

slr/get_slr_distributions.py

@@ -89,8 +89,7 @@ for i, row in dff.iterrows():
     plt.show()
 
 # Save distribution parameters
-dff[['loc', 'scale', 'min', 'max']].to_csv('cauchy-values.csv',
+dff.to_csv('cauchy-values.csv', float_format='%g')
-                                           float_format='%g')
 
 if PLOT:
     # Plot all distributions