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
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.
1 maintainer
Release files for eam-data-tools 1.5.0
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Source distribution (sdist)
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| eam-data-tools-1.5.0.tar.gz | 77.7 kB | Details |
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|---|---|---|---|---|
| eam_data_tools-1.5.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 93.3 kB
Release files / eam-data-tools-1.5.0.tar.gz
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Release files / eam_data_tools-1.5.0-py2.py3-none-any.whl
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