eam-data-tools 1.5.0

Tool to read model data from a table

Tool to define random variables in a table. The main purpose is to support the EAM framework.

• Free software: Apache Software License 2.0

Installation

pip install eam-data-tools

You can also install the in-development version with:

pip install https://github.com/dschien/eam-data-tools/archive/master.zip

Documentation

https://eam-data-tools.readthedocs.io/

Usage

# Example Given an excel file with rows similar to the below

variable

scenario

type

ref value

param

initial_value_proportional_variation

unit

mean growth

variability growth

ref date

label

comment

source

a

exp

10

0.4

kg

-0.20

0.10

01/01/2009

test var 1

b

interp

{“2010-01-01”:1, “2010-03-01”:100 , “2010-12-01”:110}

linear

0.4

kg

-0.20

0.10

01/01/2009

test var 1

Write code that references these variables and generates random distributions in pandas dataframes with pint-pandas units.:

repository = ParameterRepository()
TableParameterLoader(filename='./test_v2.xlsx', excel_handler='xlrd').load_into_repo(sheet_name='Sheet1',
                                                                                     repository=repository)
p = repository.get_parameter('a')

settings = {'sample_size': 3, 'times': pd.date_range('2016-01-01', '2017-01-01', freq='MS'),
            'sample_mean_value': False, 'use_time_series': True}
val = p(settings)
series = val.pint.m

Changelog

0.0.0 (2020-04-04)

• First release on PyPI.