# bw_migrations
Migration data and utilities for Brightway IO and LCA in general
[](https://travis-ci.org/brightway-lca/bw_migrations) [](https://coveralls.io/github/brightway-lca/bw_migrations?branch=master) [](https://ci.appveyor.com/project/cmutel/bw-migrations)
Most databases use their own nomenclature for classification systems, units, etc. These systems need to be matched when linking from one database to another. Often, a simple mapping is suitable, and tools like [correspondentia](https://github.com/BONSAMURAIS/correspondentia) are a good fit. However, sometimes one needs more complexity, e.g. change field X to Y, but only if field A has value B. When ecoinvent released version 3, they changed their unit of mesaure for water from kilograms to cubic meters. ``bw_migrations`` provides tools for this more complicated transformations, and is built around the following data format:
{
# The fields on which to filter
'fields': ['name', 'category', 'unit'],
'data': [
(
# First element is input data in the order of `fields` above
('Water', 'air', 'kilogram'),
# Second element is new values to substitute when all fields match
{
'unit': 'cubic meter',
'__multiplier__': 0.001
}
)
]
}
And is implemented with the following pseudo-code:
for element in input_data:
for original, new in migration['data']:
if all(element[field] == original[field] for field in migration['fields']):
element.update(dict(zip(migration['fields'], new)))
The actual code is a bit more complex, as `bw_migrations` can also do rescaling of probability distributions and disaggregation migrations (splitting one object into several outputs).
Raw data
{
"_id": null,
"home_page": "https://github.com/brightway-lca/bw_migrations",
"name": "bw-migrations",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "",
"author": "Chris Mutel",
"author_email": "cmutel@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/51/56/647c42d2c7ec041da11a04cb583e8ec4f14b3cae2ed420669ef5e443ae43/bw_migrations-0.2.tar.gz",
"platform": "",
"description": "# bw_migrations\n\nMigration data and utilities for Brightway IO and LCA in general\n\n[](https://travis-ci.org/brightway-lca/bw_migrations) [](https://coveralls.io/github/brightway-lca/bw_migrations?branch=master) [](https://ci.appveyor.com/project/cmutel/bw-migrations)\n\nMost databases use their own nomenclature for classification systems, units, etc. These systems need to be matched when linking from one database to another. Often, a simple mapping is suitable, and tools like [correspondentia](https://github.com/BONSAMURAIS/correspondentia) are a good fit. However, sometimes one needs more complexity, e.g. change field X to Y, but only if field A has value B. When ecoinvent released version 3, they changed their unit of mesaure for water from kilograms to cubic meters. ``bw_migrations`` provides tools for this more complicated transformations, and is built around the following data format:\n\n {\n # The fields on which to filter\n 'fields': ['name', 'category', 'unit'],\n 'data': [\n (\n # First element is input data in the order of `fields` above\n ('Water', 'air', 'kilogram'),\n # Second element is new values to substitute when all fields match\n {\n 'unit': 'cubic meter',\n '__multiplier__': 0.001\n }\n )\n ]\n }\n\nAnd is implemented with the following pseudo-code:\n\n for element in input_data:\n for original, new in migration['data']:\n if all(element[field] == original[field] for field in migration['fields']):\n element.update(dict(zip(migration['fields'], new)))\n\nThe actual code is a bit more complex, as `bw_migrations` can also do rescaling of probability distributions and disaggregation migrations (splitting one object into several outputs).",
"bugtrack_url": null,
"license": "NewBSD 3-clause; LICENSE",
"summary": "Migration data and utilities for Brightway IO and LCA in general",
"version": "0.2",
"project_urls": {
"Homepage": "https://github.com/brightway-lca/bw_migrations"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "d73b691c781ce78c18694e86536d8bf24a881661407cb93f8c4e9f6b70037714",
"md5": "c67169fe19f35557f81277cab4721c7a",
"sha256": "c72ef245380e04cea610116ee42e9b27f63cd42b4760f6ef92258abea73c33fb"
},
"downloads": -1,
"filename": "bw_migrations-0.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "c67169fe19f35557f81277cab4721c7a",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 9349,
"upload_time": "2023-09-15T14:25:55",
"upload_time_iso_8601": "2023-09-15T14:25:55.955471Z",
"url": "https://files.pythonhosted.org/packages/d7/3b/691c781ce78c18694e86536d8bf24a881661407cb93f8c4e9f6b70037714/bw_migrations-0.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "5156647c42d2c7ec041da11a04cb583e8ec4f14b3cae2ed420669ef5e443ae43",
"md5": "77dda1fa197b42ad87b42b9f04e7f72f",
"sha256": "229d99a820cbcf18854ce6a3870552e8feebb89b9342abbafaa1a6d95a57dff9"
},
"downloads": -1,
"filename": "bw_migrations-0.2.tar.gz",
"has_sig": false,
"md5_digest": "77dda1fa197b42ad87b42b9f04e7f72f",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 10196,
"upload_time": "2021-10-01T12:15:45",
"upload_time_iso_8601": "2021-10-01T12:15:45.042494Z",
"url": "https://files.pythonhosted.org/packages/51/56/647c42d2c7ec041da11a04cb583e8ec4f14b3cae2ed420669ef5e443ae43/bw_migrations-0.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2021-10-01 12:15:45",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "brightway-lca",
"github_project": "bw_migrations",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"requirements": [
{
"name": "stats_arrays",
"specs": []
},
{
"name": "bw2data",
"specs": []
},
{
"name": "pandas",
"specs": []
}
],
"lcname": "bw-migrations"
}
JSON
