Support pandas versions < 1.1.0

inputs/distributions.py

@@ -38,13 +38,13 @@ df = pd.read_excel('IPCC AR6.xlsx', index_col=[0, 1, 2, 3, 4])
 df = df.sort_index()
 dff = df.loc[838, 'total', 'medium', 'ssp585'].T
 dff.index.name = 'year'
-percentiles = dff.columns.to_numpy() / 100
+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.to_numpy()
+    values = row.values
 
     # Fit normal distribution
     loc, scale = optimize.curve_fit(norm_cdf, values, percentiles)[0]