Methods to load in data for...

[trentwirth]

• Pupil
• Qualisys
• Unity

Notes

 - Pupil 
     - load in the `pupil_positions.csv` with `pandas.DataFrame.from_csv(path_to_that_thing)` kinda method
 - Qualisys
     - load `.mat` with `scipy.io`
     - or maybe we can try loading in `tsv` as Pandas.Dataframe
     - if you run into 'Big Data' problems (unlikely!) you can use `.h5` methods
 - Unity
     - load in target positions per trial again, probably using `pandas.DataFrame.from_csv
         - This might not happen with this round of data b/c log file is garbo nonsense
         - Next iteration - Jon and Trent will make slick `json` output that will load as python `dictionaries` which are the same as `matlab` structs and javascript `objects`

[jonmatthis]

I see that you listed this as 'medium' - If you're at all unclear on how to do it, let me know and we can pair on it.

The Pupil and Quaisys load in stuff should literally just be 2 lines of code each.