resultr 0.1.10

Making UCL PHAS results better

resultr

Makes UCL PHAS results better

note it's very possible that I made mistakes so take what this gives with a bucketload of salt.

UCL Physics and Astronomy publishes the results for every year as a pdf with this format:

Candidate Number	Devcom	Module1	Mark	Module2	Mark	Module3	Mark	Module4	Mark	Module5	Mark	Module6	Mark	Module7	Mark	Module8	Mark	Provisional outcome
ABCD0	100	PHAS0000	99	PHAS0001	98	PHAS0002	97	PHAS0003	96	PHAS0004	95	PHAS0005	94	PHAS0006	93	PHAS0007	92	P
ABCD1	24	PHAS0003	93	PHAS0001	55	PHAS0004	43	PHAS0007	40	PHAS0002	34	PHAS0006	25	PHAS0005	15	PHAS0000	3	>>

resultr lets you:

• get your weighted average for a year
• get your rank in your year
• plot a histogram of the results for a module in the bins: (0,40), (40,50), (50, 60), (60, 70), (80, 90), (90, 100)
• re-format the results by module (as below) and output to csv

output format:

Devcom	PHAS0000	PHAS0001	PHAS0002	PHAS0003	PHAS0004	PHAS0005	PHAS0006	PHAS0007	Averages
100	99	98	97	96	95	94	93	92	95.5
24	3	55	34	93	43	15	25	40	39

Installation

$ pip install resultr

Usage example

Requires:

• Python 3
• pandas and matplotlib for plotting
• python-inquirer for the user input

Making the PDF usable

You're going to need to convert the .pdf given by UCL into a csv, delimited with ','. To do this I used smallpdf'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 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)

Running resultr

You can run interact with resultr using inquirer prompts:

Or equivalently by passing arguments when you run resultr:

$ resultr -h 
  usage: resultr [-h] [--input INPUT] [--format FORMAT] [--plot]
                     [--exportplots EXPORTPLOTS] [--showplots] [--my]
                     [--year YEAR] [--rank] [--candidate CANDIDATE]

  Makes UCL PHAS results better

  optional arguments:
    -h, --help              show this help message and exit

    --input, -i INPUT
                            csv file to import

    --format, -f FORMAT
                            reformats results by module and exports it to file
                            specified

    --plot, -p              plot the module results

    --exportplots, -ep EXPORTPLOTS
                            export all plots to /path/you/want/

    --showplots, -sp        show all plots

    --my, -m                returns your weighted average for the year

    --year, -y YEAR         specify your year

    --rank, -r              returns your rank in the year

    --candidate, -c CANDIDATE
                            specify your candidate number

Release History

• 0.1.10
  • Changed 'Cand' to 'CAND' in length
• 0.1.9
  • pass args.exportplots and args.showplots to resultr_plot.howPlotArgs
• 0.1.8
  • changed entry_point to use main.py
• 0.1.7
  • added entry_point to setup.py (resultr)
• 0.1.6
  • split into resultr_format and resultr_plot
• 0.1.5
  • changed matplotlib to run with Agg
• 0.1.4
  • added matplotlib requirement in setup.py
• 0.1.3
  • added inquirer requirement in setup.py
• 0.1.2
  • added pip
• 0.1.1
  • Moved prompt and cli code from '__main__' to main()
  • Changed name to resultr cause cool
• 0.1.0
  • The first proper release

Meta

Hayk Khachatryan – [e-mail]

Distributed under the MIT license. See LICENSE for more information.

https://github.com/haykkh

Contributing

1. Fork it (https://github.com/haykkh/resultr/fork)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request