Standard NumPy array interface for defining uncertain parameters
Project description
The stats_arrays
package provides a standard NumPy array interface for defining uncertain parameters used in models, and classes for Monte Carlo sampling. It also plays well with others.
Motivation
- Want a consistent interface to SciPy and NumPy statistical function
- Want to be able to quickly load and save many parameter uncertainty distribution definitions in a portable format
- Want to manipulate and switch parameter uncertainty distributions and variables
- Want simple Monte Carlo random number generators that return a vector of parameter values to be fed into uncertainty or sensitivity analysis
- Want something simple, extensible, documented and tested
The `stats_arrays package was originally developed for the Brightway2 life cycle assessment framework, but can be applied to any stochastic model.
Example
>>> from stats_arrays import *
>>> my_variables = UncertaintyBase.from_dicts(
... {'loc': 2, 'scale': 0.5, 'uncertainty_type': NormalUncertainty.id},
... {'loc': 1.5, 'minimum': 0, 'maximum': 10, 'uncertainty_type': TriangularUncertainty.id}
... )
>>> my_variables
array([(2.0, 0.5, nan, nan, nan, False, 3),
(1.5, nan, nan, 0.0, 10.0, False, 5)],
dtype=[('loc', '<f8'), ('scale', '<f8'), ('shape', '<f8'),
('minimum', '<f8'), ('maximum', '<f8'), ('negative', '?'),
('uncertainty_type', 'u1')])
>>> my_rng = MCRandomNumberGenerator(my_variables)
>>> my_rng.next()
array([ 2.74414022, 3.54748507])
>>> # can also be used as an interator
>>> zip(my_rng, xrange(10))
[(array([ 2.96893108, 2.90654471]), 0),
(array([ 2.31190619, 1.49471845]), 1),
(array([ 3.02026168, 3.33696367]), 2),
(array([ 2.04775418, 3.68356226]), 3),
(array([ 2.61976694, 7.0149952 ]), 4),
(array([ 1.79914025, 6.55264372]), 5),
(array([ 2.2389968 , 1.11165296]), 6),
(array([ 1.69236527, 3.24463981]), 7),
(array([ 1.77750176, 1.90119991]), 8),
(array([ 2.32664152, 0.84490754]), 9)]
More
- Source code: https://github.com/brightway-lca/stats_arrays
- Online documentation: https://stats-arrays.readthedocs.io/en/latest/
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
stats_arrays-0.7.tar.gz
(30.5 kB
view hashes)
Built Distribution
stats_arrays-0.7-py3-none-any.whl
(26.5 kB
view hashes)
Close
Hashes for stats_arrays-0.7-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | dcd3d827fc6192fd150b964b3d79e66e8f8e3805a0da20f20d50788c039de580 |
|
MD5 | 15797a8faf76ad368ea1c4295d6d1b77 |
|
BLAKE2b-256 | 45e11de3b60aaed45c7ac831cf84b17315c21014161eaa1e65112bd4043cb868 |