Changed one of the visualizations to compare different APRs.

Demonstrate 3-5$ APR and compare with linear.

econ-demo.py

@@ -30,7 +30,7 @@ def ubi(balances, dividend=10, terms=3):
         new_bal.append(b)
     return new_bal
 
-def get_balances_over_time(names, balances, func, terms=4):
+def get_balances_over_time(names, balances, func, terms=4, param=0):
     if func is None:
         print("Need a function!")
         return
@@ -44,7 +44,10 @@ def get_balances_over_time(names, balances, func, terms=4):
     df = pd.DataFrame(data)
     for t in range(1,terms):
         key = str(t)
-        frame = func(balances, terms=t)
+        if param == 0:
+            frame = func(balances, terms=t)
+        else:
+            frame = func(balances, terms=t, rate=param)
         if frame is not None:
             df[key] = frame
     return df
@@ -167,12 +170,34 @@ def visualize_inflation(terms=50):
 
     plt.style.use('dark_background')
     plt.plot(
-        x, total_supply_ubi, color="cyan", label="UBI (n=3, du=10)"
+        x, total_supply_ubi, color="cyan", label="? (linear)"
     )
     plt.plot(
-        x, total_supply_si, color="red", label="Debt (APY=5%)"
+        x, total_supply_si, color="red", label="apy = 0.05"
     )
-    plt.title("Money Supply over Time: UBI vs Compounding Interest")
+    plt.plot(
+        x,
+        calc_total_supply(get_balances_over_time(
+            participants, 
+            balances, 
+            compounding_interest,
+            terms=terms,
+            param=0.04
+        )),
+        color="orange", label="apy = 0.04"
+    )
+    plt.plot(
+        x,
+        calc_total_supply(get_balances_over_time(
+            participants, 
+            balances, 
+            compounding_interest,
+            terms=terms,
+            param=0.03
+        )),
+        color="yellow", label="apy = 0.03"
+    )
+    plt.title("Supply of Money Over Time")
     plt.legend()
     plt.xlabel("Terms")
     plt.ylabel("Total Currency")