| Name | DEAPack JSON |
| Version |
0.1.3
JSON |
| download |
| home_page | None |
| Summary | A Data Envelopment Analysis Package |
| upload_time | 2024-08-24 13:10:13 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.6 |
| license | MIT License Copyright (c) 2024 Dr Daoping Wang (daopingwang@outlook.com) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# DEAPack: A Data Envelopment Analysis Package
DEAPack is a Python package designed for Data Envelopment Analysis (DEA). Its comprehensive toolset allows for efficient handling of various DEA models, including those that account for undesirable outputs.
## Installation
Install the package by `pip`,
```sh
pip install DEAPack
```
Or install the package by `conda`,
```sh
conda install DEAPack
```
## Usage
A brief example is provided below. For more information, please refer to the [documentation]() and [example notebooks]().
```python
# import the module
from DEAPack.model import DEA
from DEAPack.utilities import load_example_data
# load the example dataset
data = load_example_data()
# initilise a DEA model
model = DEA()
# specify the DEA model
model.DMUs = data['region']
model.time = data['year']
model.x_vars = data[['K', 'L', 'E']]
model.y_vars = data[['Y']]
model.b_vars = data[['CO2']]
# solve the DEA model
model.solve()
# get estimated efficiencies
results = model.get_efficiency()
```
## Communication
You're very welcome to contribute to this package. We appreciate any efforts to improve this package. You can help by adding new features, reporting bugs, or extending the documentation and usage examples. Please contact us if you have any ideas.
- [Pull requests](https://github.com/daopingw/DEAPack/pulls) for pull requests.
- [Issues](https://github.com/daopingw/DEAPack/issues) for bug reports.
Raw data
{
"_id": null,
"home_page": null,
"name": "DEAPack",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.6",
"maintainer_email": null,
"keywords": null,
"author": null,
"author_email": "Dr Daoping Wang <daopingwang@outlook.com>",
"download_url": "https://files.pythonhosted.org/packages/f0/b1/32343d65e7380a397e9071803def7f9708faf21ac54c05ed541042ee4b4e/deapack-0.1.3.tar.gz",
"platform": null,
"description": "# DEAPack: A Data Envelopment Analysis Package\n\nDEAPack is a Python package designed for Data Envelopment Analysis (DEA). Its comprehensive toolset allows for efficient handling of various DEA models, including those that account for undesirable outputs.\n\n## Installation\n\nInstall the package by `pip`,\n\n```sh\npip install DEAPack\n```\nOr install the package by `conda`,\n```sh\nconda install DEAPack\n```\n\n## Usage\n\nA brief example is provided below. For more information, please refer to the [documentation]() and [example notebooks]().\n\n```python\n# import the module\nfrom DEAPack.model import DEA\nfrom DEAPack.utilities import load_example_data\n\n# load the example dataset\ndata = load_example_data()\n\n# initilise a DEA model\nmodel = DEA()\n\n# specify the DEA model\nmodel.DMUs = data['region']\nmodel.time = data['year']\nmodel.x_vars = data[['K', 'L', 'E']]\nmodel.y_vars = data[['Y']]\nmodel.b_vars = data[['CO2']]\n\n# solve the DEA model\nmodel.solve()\n\n# get estimated efficiencies\nresults = model.get_efficiency()\n```\n\n## Communication\n\nYou're very welcome to contribute to this package. We appreciate any efforts to improve this package. You can help by adding new features, reporting bugs, or extending the documentation and usage examples. Please contact us if you have any ideas.\n\n- [Pull requests](https://github.com/daopingw/DEAPack/pulls) for pull requests.\n- [Issues](https://github.com/daopingw/DEAPack/issues) for bug reports.\n",
"bugtrack_url": null,
"license": "MIT License Copyright (c) 2024 Dr Daoping Wang (daopingwang@outlook.com) Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.",
"summary": "A Data Envelopment Analysis Package",
"version": "0.1.3",
"project_urls": {
"Bug Tracker": "https://github.com/daopingw/DEAPack/issues",
"Homepage": "https://github.com/daopingw/DEAPack"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "474e1c272314f5294e1b89be476e8ca5e5ee4d1b4b81f21293b4dd3e4bf3bc9b",
"md5": "8aba837e14656351a82becf18a115848",
"sha256": "efc4bcd0828700fe045b708fa8513a7ef066a138edcd1f31ae185e62a6154ac8"
},
"downloads": -1,
"filename": "deapack-0.1.3-py3-none-any.whl",
"has_sig": false,
"md5_digest": "8aba837e14656351a82becf18a115848",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.6",
"size": 13212,
"upload_time": "2024-08-24T13:10:12",
"upload_time_iso_8601": "2024-08-24T13:10:12.303270Z",
"url": "https://files.pythonhosted.org/packages/47/4e/1c272314f5294e1b89be476e8ca5e5ee4d1b4b81f21293b4dd3e4bf3bc9b/deapack-0.1.3-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "f0b132343d65e7380a397e9071803def7f9708faf21ac54c05ed541042ee4b4e",
"md5": "9440509d93f02195f1b7e4f62c4e3be6",
"sha256": "35f004005c8820d8eecaded3a8776bb5527ac939b1e9f18b4001045e6106ee50"
},
"downloads": -1,
"filename": "deapack-0.1.3.tar.gz",
"has_sig": false,
"md5_digest": "9440509d93f02195f1b7e4f62c4e3be6",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.6",
"size": 9594,
"upload_time": "2024-08-24T13:10:13",
"upload_time_iso_8601": "2024-08-24T13:10:13.389411Z",
"url": "https://files.pythonhosted.org/packages/f0/b1/32343d65e7380a397e9071803def7f9708faf21ac54c05ed541042ee4b4e/deapack-0.1.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-08-24 13:10:13",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "daopingw",
"github_project": "DEAPack",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "deapack"
}
