Story
given a station, conditioning IM / value, and miscellaneous parameters with defaults where applicable: get an output similar to what the Matlab / first version of Python code produces.
Tasks
- [4h] function that reads across all IM csvs and for a given station returns IMs for different simulations. Consideration in design taken into account for how the data is used below.
- [6h] adjust Python code in gm_selection repo to accept data in new format, remove dependencies on matlab data files.
- [2h] make a function that can complete all steps required in one go so all you have to give is station name, conditioning im name/value... where possible, default values are provided.
- [3h] given the 2 main step process, allow going from one to the other without an intermediate text file (can be left as optional for now).
- [3h] repeat above for final results, store results in easier to parse format or as variables, original text format left as optional.
total 18h ~3days
IM Data
Has 4 dimensions, stored across CSV files, have to manually combine the dimensions by:
- adding multiple CSV files to make another dimention
- splitting a dimension by a column value (component)
The above needs to be fixed.
