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cash_flow['PV'] = cash_flow['Cash'] / (1 + inflation_rate) ** cash_flow['Year']
print(round(cash_flow))

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cash_flow['Cash'] = rent_payment * (1 + rent_growth) ** (cash_flow['Year'] - 1)
print(round(cash_flow))

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rent_payment = 800
time = 5
rent_growth = 0.06
inflation_rate = 0.03
cash_flow = pd.DataFrame({'Year': np.arange(1,6),
  'Cash': rent_payment})
print(cash_flow)

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payment = 200000
time = 5
rate = 0.06
cash_flow = pd.DataFrame({'Period': np.arange(1, 6),
 'PMT': payment})
print(cash_flow)

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r = 0.03
cash_flow['PV'] = cash_flow['Cash'] / (1 + r) ** cash_flow['Year']
npv = cash_flow['PV'].sum()
print('NPV is', + round(npv))

# NPV is 1596.0

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# Calculate NPV of uneven cash flows

cash_flow = pd.DataFrame({'Year': [1, 2, 3, 4, 5, 6],
  'Cash': [150, 200, 250, 350, 400, 450]})
print(cash_flow)

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print('NPV is', + round(npv))

# NPV is 1083.0

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import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

r = 0.03
cash_flow = pd.DataFrame({'Year': [1, 2, 3, 4, 5, 6],
  'Cash': [200, 200, 200, 200, 200, 200]})
# PV (Present Value) = Cash (at period 1) / (1 + r)^n
cash_flow['PV'] = cash_flow['Cash'] / (1.0 + r) ** cash_flow['Year']
npv = cash_flow['PV'].sum()

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const price = btcPrices[month];
  if (!price) {
    invalidMonthRange();
    return;
  }

  const lastPrice = btcPrices.lastMonth;

  console.log(`Price for month ${month} was ${price}`);
  console.log(`While the price for the last month was: ${lastPrice}`);

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