{
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        "author": "Hayk Khachatryan",
        "author_email": "hi@hayk.io",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
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        "description": "#  resultr\n> Makes UCL PHAS results better\n\n**note** it's very possible that I made mistakes so take what this gives with a bucketload of salt.\n\nUCL Physics and Astronomy publishes the results for every year as a pdf with this format: \n\n**Candidate Number**|**Devcom**|**Module1**|**Mark**|**Module2**|**Mark**|**Module3**|**Mark**|**Module4**|**Mark**|**Module5**|**Mark**|**Module6**|**Mark**|**Module7**|**Mark**|**Module8**|**Mark**|**Provisional outcome**| \n:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:\nABCD0|100|PHAS0000|99|PHAS0001|98|PHAS0002|97|PHAS0003|96|PHAS0004|95|PHAS0005|94|PHAS0006|93|PHAS0007|92|P| \nABCD1|24|PHAS0003|93|PHAS0001|55|PHAS0004|43|PHAS0007|40|PHAS0002|34|PHAS0006|25|PHAS0005|15|PHAS0000|3|>>| \n\nresultr lets you:\n  * get your weighted average for a year\n  * get your rank in your year\n  * plot a histogram of the results for a module in the bins: (0,40), (40,50), (50, 60), (60, 70), (80, 90), (90, 100)\n  * re-format the results by module (as below) and output to csv\n\noutput format:\n\n**Devcom**|**PHAS0000**|**PHAS0001**|**PHAS0002**|**PHAS0003**|**PHAS0004**|**PHAS0005**|**PHAS0006**|**PHAS0007**|**Averages**\n:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:|:-----:\n100|99|98|97|96|95|94|93|92|95.5\n24|3|55|34|93|43|15|25|40|39 \n\n## Installation\n\n```sh\n$ pip install resultr\n```\n\n## Usage example\n\nRequires:\n  * [Python 3](https://www.python.org/downloads/)\n  * [pandas](https://pandas.pydata.org/) and [matplotlib](https://matplotlib.org/) for plotting\n  * [python-inquirer](https://github.com/magmax/python-inquirer) for the user input\n\n\n### Making the PDF usable\n\nYou're going to need to convert the .pdf given by UCL into a csv, delimited with ','. To do this I used [smallpdf](https://smallpdf.com/pdf-to-excel)'s PDF to Excel converter (this makes an xlsx with a sheet for every page of the page of the pdf). Then I used [Google Docs](https://docs.google.com) to export each sheet as a csv, and combined them in a texteditor (note though that you should remove the heading lines (cand, devcom, module1, etc) from all pages apart from the first)\n\n\n### Running resultr\n\nYou can run interact with resultr using [inquirer](https://github.com/magmax/python-inquirer) prompts:\n\n![ask demo](demoAsk.gif)\n\nOr equivalently by passing arguments when you run resultr:\n\n![args demo](demoArgs.gif)\n\n```sh\n$ resultr -h \n  usage: resultr [-h] [--input INPUT] [--format FORMAT] [--plot]\n                     [--exportplots EXPORTPLOTS] [--showplots] [--my]\n                     [--year YEAR] [--rank] [--candidate CANDIDATE]\n\n  Makes UCL PHAS results better\n\n  optional arguments:\n    -h, --help              show this help message and exit\n\n    --input, -i INPUT\n                            csv file to import\n\n    --format, -f FORMAT\n                            reformats results by module and exports it to file\n                            specified\n\n    --plot, -p              plot the module results\n\n    --exportplots, -ep EXPORTPLOTS\n                            export all plots to /path/you/want/\n\n    --showplots, -sp        show all plots\n\n    --my, -m                returns your weighted average for the year\n\n    --year, -y YEAR         specify your year\n\n    --rank, -r              returns your rank in the year\n\n    --candidate, -c CANDIDATE\n                            specify your candidate number\n```\n\n\n## Release History\n\n* 0.1.10\n    * Changed 'Cand' to 'CAND' in length\n* 0.1.9\n    * pass _args.exportplots_ and _args.showplots_ to _resultr\\_plot.howPlotArgs_ \n* 0.1.8\n    * changed entry_point to use __main__.py\n* 0.1.7\n    * added entry_point to setup.py (resultr) \n* 0.1.6\n    * split into _resultr\\_format_ and _resultr\\_plot_\n* 0.1.5\n    * changed _matplotlib_ to run with _Agg_ \n* 0.1.4\n    * added _matplotlib_ requirement in setup.py \n* 0.1.3\n    * added _inquirer_ requirement in setup.py\n* 0.1.2\n    * added pip\n* 0.1.1\n    * Moved prompt and cli code from ``'__main__'`` to ``main()`` \n    * Changed name to _resultr_ cause cool\n* 0.1.0\n    * The first proper release\n\n\n## Meta\n\nHayk Khachatryan \u2013 hi@hayk.io\n\nDistributed under the MIT license. See ``LICENSE`` for more information.\n\n[https://github.com/haykkh](https://github.com/haykkh/)\n\n## Contributing\n\n1. Fork it (<https://github.com/haykkh/resultr/fork>)\n2. Create your feature branch (`git checkout -b feature/fooBar`)\n3. Commit your changes (`git commit -am 'Add some fooBar'`)\n4. Push to the branch (`git push origin feature/fooBar`)\n5. Create a new Pull Request\n\n\n",
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