Financial Calculator
A Python Library for Calculating Financial Equations.
Table of Contents
Installation
Use python package manager (pip) to install the latest version.
pip install -U fincalc
Usage
from fincalc import FinancialCalculator
FC = FinancialCalculator()
Functions
calculate_factors
calculate_factors(equation: str, rfp: int = 5) -> dict
equation: User input equation.rfp: Round Floating Points. Defaults to 5.
interest_rate_calculator
calculate_ror(equation: str, rfp: int = 5, interest_rate_range: tuple = (-10, 100)) -> dict
equation: User input equation.rfp: Round Floating Points. Defaults to 5.interest_rate_range: Interest Rate Range. Defaults to (-10, 100).
Examples
Example 1
from fincalc import FinancialCalculator
FC = FinancialCalculator()
result = FC.calculate_factors('1500*(P/A,12,3)*(P/F,12,6) + 200*(P/A,12,8,4)')
print(result)
# output
# {
# 'equation': '1500*(P/A,12,3)*(P/F,12,6) + 200*(P/A,12,8,4)',
# 'factors': {'(p/a,12,3)': 2.40183, '(p/f,12,6)': 0.50663, '(p/a,12,8,4)': 3.38462},
# 'answer': '1500*2.40183*0.50663 + 200*3.38462',
# 'result': 2502.1827
# }
Example 2
from fincalc import FinancialCalculator
FC = FinancialCalculator()
result = FC.calculate_ror('-60000 + 12000*(P/A,i,25) + 3000*(P/F,i,25)')
print(result)
# output
# {
# 'equation': '-60000 + 12000*(P/A,i,25) + 3000*(P/F,i,25)',
# 'factors': ['(P/A,i,25)', '(P/F,i,25)'],
# 'result': 19.79
# }
Supported Factors
P
- (P/F,i%,n)
- (P/A,i%,n)
- (P/A,i%,j%,n)
- (P/G,i%,n)
F
- (F/P,i%,n)
- (F/A,i%,n)
- (F/A,i%,j%,n)
- (F/G,i%,n)
A
- (A/P,i%,n)
- (A/F,i%,n)
- (A/G,i%,n)
Metadata
Release files for fincalc 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| fincalc-1.1.0.tar.gz | 5.0 kB | Without provenance | Details for fincalc-1.1.0.tar.gz |
Release files / fincalc-1.1.0.tar.gz
| Download URL | fincalc-1.1.0.tar.gz |
|---|---|
| Size | 5.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
cab7e5991a9eb596bee2a08b8a1215610e7e262e9fe939fecaf432704fc1fce3
|
|
BLAKE2b-256 checksum How to use checksums |
ff4ee9c5f5f46f630bf9245e0dadfe35adb8358a7a02a0f33f338ee4842e3407
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.10
|
Security for fincalc 1.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.