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Tool to define random variables in a table. The main purpose is to support the EAM framework.
- Free software: Apache Software License 2.0
pip install eam-data-tools
You can also install the in-development version with:
pip install https://github.com/sust-cs-uob/eam-data-tools/archive/master.zip
https://eam-data-tools.readthedocs.io/
# 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