leclerc 0.1.5

Leclerc conducts a montecarlo analysis on a range of function files that involve formula derivation

What is Leclerc?

Leclerc is a Sun Cable initiative that creates a PERT wrapper around levelised cost formulas to identify Monte Carlo trends in PERT inputs. This package has derived work done by Heiko Onnen which can be found at: https://towardsdatascience.com/python-powered-monte-carlo-simulations-fc3c71b5b83f and https://towardsdatascience.com/python-scenario-analysis-modeling-expert-estimates-with-the-beta-pert-distribution-22a5e90cfa79.

How to Install

Running pip install leclerc will install the leclerc package.

To download with all dependencies, run python3 -m pip install --upgrade --no-cache-dir --use-deprecated=legacy-resolver leclerc

How to Use

To use this package, call a formula and add the parameters. For inputs that have uncertainty, apply the PERT parameter. The output should give a bokeh html showcasing a histogram of the levelised cost parameter and PDF plots for inputs.

Example Case for Area:

@pert_monte_carlo
def rectangle_area(calculation, rectangle_name, length, height):
	return height*length
	
results = rectangle_area(
    "Area",
    "rectangle_1",
    PERT(min=1.0,mode=2.0,max=3.0, label="length"),
    PERT(min=4.0,mode=5.0,max=6.0,label="height")
)

Dependencies

Leclerc uses the following packages:

• scipy pip install scipy
• numpy pip install numpy
• bokeh pip install bokeh
• matplotlib pip install matplotlib