@ -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',
float_format='%g')
dff.to_csv('cauchy-values.csv', float_format='%g')
if PLOT:
# Plot all distributions