Metadata-Version: 2.1
Name: matpowercaseframes
Version: 0.0.1a3
Summary: Parse MATPOWER case into pandas DataFrame
Home-page: https://github.com/UGM-EPSLab/MATPOWER-Case-Frames
Author: Muhammad Yasirroni
Author-email: muhammadyasirroni@gmail.com
License: MIT license
Description: # MATPOWER Case Frames
        
        Parse MATPOWER case into pandas DataFrame.
        
        Unlike the [tutorial](https://github.com/yasirroni/matpower-pip#extra-require-oct2py-or-matlabengine) on [`matpower-pip`](https://github.com/yasirroni/matpower-pip), this package support parsing MATPOWER case using `re` instead of `Oct2Py` and Octave. After that, you can further parse the data into any format supported by you solver.
        
        ## Installation
        
        ```plaintext
        pip install matpowercaseframes
        ```
        
        ## Usage
        
        ```python
        from matpowercaseframes import CaseFrames
        
        case_path = 'case9.m'
        cf = CaseFrames(case_path)
        
        print(cf.gencost)
        ```
        
        If you have `matpower` installed via `pip install matpower` (did not require `matpower[octave]`), you can easily navigate MATPOWER case using:
        
        ```python
        import os
        from matpower import path_matpower # require `pip install matpower`
        from matpowercaseframes import CaseFrames
        
        case_name = 'case9.m'
        case_path = os.path.join(path_matpower, 'data', case_name)
        cf = CaseFrames(case_path)
        
        print(cf.gencost)
        ```
        
        ## Acknowledgement
        
        This repository was supported by the [Faculty of Engineering, Universitas Gadjah Mada](https://ft.ugm.ac.id/en/) under the supervision of [Mr. Sarjiya](https://www.researchgate.net/profile/Sarjiya_Sarjiya). If you use this package for your research, we are very glad if you cite any relevant publication under Mr. Sarjiya's name as a thanks (but you are not responsible to). You can found his publications on the [semantic scholar](https://www.semanticscholar.org/author/Sarjiya/2267414) or [IEEE](https://ieeexplore.ieee.org/author/37548066400).
        
        This package is a a fork and simplification from [psst](https://github.com/ames-market/psst) MATPOWER parser, thus we greatly thanks psst developers and contributors.
        
Keywords: psst,matpower,parser
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >3.6
Description-Content-Type: text/markdown
Provides-Extra: matpower
