added chart of inflation: debt vs ubi
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45
econ-demo.py
45
econ-demo.py
@ -107,7 +107,7 @@ def visualize_ubi(terms=25):
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continue
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shares.append(calc_share_of_wealth(data))
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sow = pd.DataFrame(shares)
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print(sow.keys())
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# print(sow.keys())
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x = [i for i in range(1,terms)]
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assert(len(x) == len(shares))
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@ -132,5 +132,46 @@ def visualize_ubi(terms=25):
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plt.show()
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return
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visualize_ubi(terms=50)
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# visualize_ubi(terms=50)
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def calc_total_supply(df):
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total = []
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for key, data in df.items():
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if key == "name":
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continue
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total.append(sum(data))
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return total
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def visualize_inflation(terms=50):
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participants = ["Alice", "Bob", "Charlie"]
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balances = [100,40,20]
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df = get_balances_over_time (
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participants, balances, ubi,
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terms = terms
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)
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total_supply_ubi = calc_total_supply(df)
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df_si = get_balances_over_time (
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participants, balances, simple_interest,
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terms = terms
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)
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total_supply_si = calc_total_supply(df_si)
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# + 1 because the initial frame is included this time
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x = [i for i in range(1,terms+1)]
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assert(len(x) == len(total_supply_si))
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plt.style.use('dark_background')
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plt.plot(
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x, total_supply_ubi, color="cyan", label="UBI"
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)
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plt.plot(
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x, total_supply_si, color="red", label="Debt (Simple Interest)"
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)
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plt.title("Money Supply over Time: UBI vs Simple Interest")
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plt.legend()
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plt.xlabel("Terms")
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plt.ylabel("Total Currency")
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plt.show()
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visualize_inflation(terms=75)
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