updates

app.py

@@ -38,8 +38,7 @@ baseline_interest_rate = 3.64
 #baseline_revenues = 15928.73
 baseline_cagr_revenues = 4.1
 total_revenues_2024 = data.loc[2024, "Total Revenues"]
-
-print(total_revenues_2024)
+total_revenues_2055_bl = data.loc[2055, "Total Revenues"]
 
 def plot_interest_coverage(interest_rate, cagr_revenues):
 
@@ -47,9 +46,7 @@ def plot_interest_coverage(interest_rate, cagr_revenues):
     interest_rate_yearly_increase = (interest_rate - baseline_interest_rate) / (2055 - 2025) / 100
     # calculate the yearly increase in revenues based on the annual growth rate through 2055
     total_revenues_2055 = total_revenues_2024 * ((1 + (cagr_revenues / 100)) ** (2055 - 2024))
-    print(total_revenues_2055)
-    revenues_yearly_increase = (total_revenues_2055 - total_revenues_2024) / (2055 - 2025)
-    print(revenues_yearly_increase)
+    revenues_yearly_increase = (total_revenues_2055_bl - total_revenues_2055) / (2055 - 2025)
 
     # add a baseline net interest / revenues column
     data["Net Interest / Revenues (Baseline)"] = data["Net Interest"] / data["Total Revenues"]
@@ -72,7 +69,6 @@ def plot_interest_coverage(interest_rate, cagr_revenues):
         data["Total Revenues"], 
         data["Total Revenues"] + (revenues_yearly_increase * (data.index.astype(int) - 2024)))
     
-    print(data.loc[2055, "Total Revenues (Projected)"])
         
     # add a projected revenues ex SS OASDI column
     data["Revenues ex SS OASDI (Projected)"] = np.where(