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Making UCL PHAS results better

Project description


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


$ pip install resultr

Usage example


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:

ask demo

Or equivalently by passing arguments when you run resultr:

args demo

$ 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

    --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
  • 0.1.7
    • added entry_point to (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
  • 0.1.3
    • added inquirer requirement in
  • 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


Hayk Khachatryan –

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


  1. Fork it (
  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

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