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54 lines
1.5 KiB
54 lines
1.5 KiB
7 years ago
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import profin
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pf = profin.Projector()
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# This demo simulates Betty who saved for a car
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# Start date and balance
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pf.date(2018, 'March', 24)
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pf.balance(+40_000) # initial savings
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# Recurring payments, paid on 1st of eahc month
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rent = pf.monthly('Rent', -8_000) # a pretty high rent...
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# using .spread() to distribute the cost over the whole month
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# Set to False for less accurate graph but more readable stdout logs
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want_spread = True
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food = pf.monthly('Food', -3500).spread(want_spread)
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# Betty goes to gym and it's very expensive
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gym1 = pf.monthly('Gym 1', -500).on(10)
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gym2 = pf.monthly('Gym 2', -500).on(20)
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# She is a cashier but the pay isn't that good
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job = pf.monthly('Cashier Job', +22_000, day=6)
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pf.date(2018, 'June')
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# Betty is saving for a car, she stopped going to the gym and instead jogs outside.
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gym1.end()
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gym2.end()
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# In September, Frank lent Betty some cash for the car
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friend_loan = pf.borrow('Frank\'s Loan', +35_000).on(2018, 'Sep')\
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.repay_monthly(-8000, day=7)\
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.begin(2018, 'Dec') # Frank gives Betty 3 months before she has to start paying it back
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# Betty can't decide which car to buy. Finally...
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pf.expend("Car Purchase", 120_000).on(2018, 'Sep', 28)
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# whoops that was expensive. But she'll recover ...
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# Now she's paying off the loan. It's done in about 3 months after December
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# --- We generate the prediction until December 31, 2019
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# You can pass a second argument verbose=False to disable stdout printing
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samples = pf.project_to(2019)
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# show in a graph
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pf.graph(samples)
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