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amortization
Python library for calculating amortizations and generating amortization schedules
Installation
pip install amortizationUsage
Python
Amortization Amount
from amortization.amount import calculate_amortization_amount
amount = calculate_amortization_amount(150000, 0.1, 36)Amortization Period
from amortization.period import calculate_amortization_period
period = calculate_amortization_period(150000, 0.1, 4840.08)Amortization Schedule
from amortization.schedule import amortization_schedule
for number, amount, interest, principal, balance in amortization_schedule(150000, 0.1, 36):
print(number, amount, interest, principal, balance)Amortization Schedule (using tabulate)
from amortization.schedule import amortization_schedule
from tabulate import tabulate
table = (x for x in amortization_schedule(150000, 0.1, 36))
print(
tabulate(
table,
headers=["Number", "Amount", "Interest", "Principal", "Balance"],
floatfmt=",.2f",
numalign="right"
)
)Command line
amortize -h
usage: amortize [-h] -P PRINCIPAL -r INTEREST_RATE [-s] (-n PERIOD | -a AMOUNT)
Python library for calculating amortizations and generating amortization schedules
options:
-h, --help show this help message and exit
-s, --schedule Generate amortization schedule
-n PERIOD, --period PERIOD
Total number of periods
-a AMOUNT, --amount AMOUNT
Amortization amount per period
required arguments:
-P PRINCIPAL, --principal PRINCIPAL
Principal amount
-r INTEREST_RATE, --interest-rate INTEREST_RATE
Interest rate per periodamortize -P 150000 -n 36 -r 0.1 # period
amortize -P 150000 -n 36 -r 0.1 -s # schedule
amortize -P 150000 -a 4840.08 -r 0.1 # amount% amortize -P 150000 -n 36 -r 0.1 -s
Number Amount Interest Principal Balance
-------- ---------- ---------- ----------- ----------
1 4,840.08 1,250.00 3,590.08 146,409.92
2 4,840.08 1,220.08 3,620.00 142,789.92
3 4,840.08 1,189.92 3,650.16 139,139.76
4 4,840.08 1,159.50 3,680.58 135,459.18
5 4,840.08 1,128.83 3,711.25 131,747.93
6 4,840.08 1,097.90 3,742.18 128,005.75
7 4,840.08 1,066.71 3,773.37 124,232.38
8 4,840.08 1,035.27 3,804.81 120,427.57
9 4,840.08 1,003.56 3,836.52 116,591.05
10 4,840.08 971.59 3,868.49 112,722.56
11 4,840.08 939.35 3,900.73 108,821.83
12 4,840.08 906.85 3,933.23 104,888.60
13 4,840.08 874.07 3,966.01 100,922.59
14 4,840.08 841.02 3,999.06 96,923.53
15 4,840.08 807.70 4,032.38 92,891.15
16 4,840.08 774.09 4,065.99 88,825.16
17 4,840.08 740.21 4,099.87 84,725.29
18 4,840.08 706.04 4,134.04 80,591.25
19 4,840.08 671.59 4,168.49 76,422.76
20 4,840.08 636.86 4,203.22 72,219.54
21 4,840.08 601.83 4,238.25 67,981.29
22 4,840.08 566.51 4,273.57 63,707.72
23 4,840.08 530.90 4,309.18 59,398.54
24 4,840.08 494.99 4,345.09 55,053.45
25 4,840.08 458.78 4,381.30 50,672.15
26 4,840.08 422.27 4,417.81 46,254.34
27 4,840.08 385.45 4,454.63 41,799.71
28 4,840.08 348.33 4,491.75 37,307.96
29 4,840.08 310.90 4,529.18 32,778.78
30 4,840.08 273.16 4,566.92 28,211.86
31 4,840.08 235.10 4,604.98 23,606.88
32 4,840.08 196.72 4,643.36 18,963.52
33 4,840.08 158.03 4,682.05 14,281.47
34 4,840.08 119.01 4,721.07 9,560.40
35 4,840.08 79.67 4,760.41 4,799.99
36 4,839.99 40.00 4,799.99 0.00
Totals 174,242.79 24,242.79 150,000.00