Pylan is a library that calulates/analyzes the combined impact of recurring events. For example, it can be used to make financial projections, like investment gains, savings, and inflation.
To get started, you can install the Python library using PyPi with the following command:
pip install pylan-lib
This code snippet shows some functionalities available when doing simulations. For more information, please see the documentation on pypi. Also, I've added some useful examples of pylan in this slidedeck
import matplotlib.pyplot as plt
from pylan import Item, Subtract, Add, Multiply
savings = Item(start_value=100)
salary_payments = Add("1m", 2500, offset="24d") # Salary paid every month at the 24th
salary_increase = Multiply("1y", 1.2) # Salary grows each year 20%
mortgage = Subtract("0 0 2 * *", 1500) # cron support
salary_payments.add_projection(salary_increase) # Add increase to salary projection
savings.add_projections([salary_payments, mortgage])
result = savings.run("2024-1-1", "2028-1-1")
x, y = result.plot_axes()
plt.plot(x, y)
plt.show()