Package for conducting data envelopment analysis
Copyright (c) 2017 Andrea Raith, Olga Perederieieva, Fariza Fauzi.
pyDEA is a software package developed in Python for conducting data envelopment analysis (DEA).
Installing and Running Package
The pyDEA package can be installed via pip, easy_install or from source. In order to install it via pip open terminal and use the following command:
>> pip install pyDEA
In order to install a specific version use the following command:
>> pip install pyDEA==version_number
In order to install pyDEA via easy_install use the following command:
>> easy_install pyDEA
Or for specific version:
>> easy_install pyDEA==version_number
In order to install from source, download and unzip source files, open terminal and navigate to pyDEA main folder and run the following command:
>> python setup.py install –record files.txt
This command will create distribution files in pyDEA folder and write paths to all other installed files to files.txt.
How to Run
The pyDEA package supports several interfaces. It has a Graphical User Interface (GUI), Command Line Interface (CLI) and it can be imported and used directly in python scripts. After package installation, in order to run GUI, open terminal and type:
Or use command:
>> python -m pyDEA.main_gui
In order to run CLI, use the following command:
>> python -m pyDEA.main file_with_params output_file_format output_dir sheet_name
file_with_params is path to file with parameters.
output_file_format, possible values: xls, xlsx and csv, default value is xlsx. This value is optional and is used only if OUTPUT_FILE in parameters file is empty or set to auto. Otherwise, the value in OUTPUT_FILE is used instead.
output_dir is output directory. It is optional, if it is not specified, solution will be written to current directory. This value is used only if OUTPUT_FILE in parameters file is empty or set to auto. Otherwise, the value in OUTPUT_FILE is used instead.
sheet_name is sheet name from which data should be read. It is optional, if it is not specified, data will be read from the first sheet.
If you want to specify sheet name, but not output directory use empty string as the third argument, as shown below:
>> python -m pyDEA.main .file_with_params “” “” sheet_name
If file path contains spaces use quotes.
The pyDEA package can be imported in a python script as any other package. However, in order to access its methods and classes you need explicitly import them, for example, from pyDEA import main_gui. Then you can execute GUI by calling main_gui.main().
>> from pyDEA.core.utils import dea_utils
This example imports all methods and classes defined in dea_utils.
If pyDEA was installed via pip or easy_install, it can be uninstalled by using the following command:
>> pip uninstall pyDEA
If pyDEA was installed from source, it must be manually uninstalled. Simply remove all files listed in files.txt and all pyDEA package files.
pyDEA is distributed under the MIT License (https://opensource.org/licenses/MIT).
Copyright (c) 2016 Andrea Raith, Olga Perederieieva, Fariza Fauzi
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files, 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.
pyDEA has been financially supported by the Department of Engineering Science at the University of Auckland and the Auckland Medical Research Foundation (AMRF).
The pyDEA solver was first developed during a summer project in 2009 / 2010 at the University of Auckland, Department of Engineering Science by Kane Harton. Development was continued by Harriet Priddey during her Part IV project at the Department of Engineering Science in 2010. The code was further modified and enhanced with a GUI by Andrea Raith in 2010 / 2011. Alan Lee, Matt Rouse and Andrea Raith continued work on the GUI and the underlying DEA solver continued between November 2011 and February 2012. From 2014, pyDEA was re-implemented by Olga Perederieieva with input from Fariza Fauzi.
Thank you to Paul Rouse for guidance on DEA and help with the revamped version of pyDEA. Also, thank you to Oliver Weide for help with python.
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