Hi @yongjingmao,
Thanks a lot for putting this together and looking forward to seeing some of the models produced. I had a quick play around this afternoon and created a small function to load the data in a line and an example of aligning to waves - its not perfect or general (and people should check before using lest it ruin their modelling 😅). Perhaps something similar/tested (condensing 1.data_explore) in the main repo could save others some time, particularly the data-driven modellers!
One minor thing while putting that together was seeing that the dates weren't playing ball always - the shorelines_*.csv files were a bit inconsistent with the date format - perhaps it would be worth just rounding all to %Y-%m-%d to make it easier rather than having additional H:M:S?
Hi @simmonsja ,
Great work for the data_loader. Definitely a handy tool for data-driven modelers. Thanks for sharing it.
Good suggestion for rounding datetime of shoreline data. I have implemented it.
Hi @yongjingmao, Thanks a lot for putting this together and looking forward to seeing some of the models produced. I had a quick play around this afternoon and created a small function to load the data in a line and an example of aligning to waves - its not perfect or general (and people should check before using lest it ruin their modelling 😅). Perhaps something similar/tested (condensing
1.data_explore
) in the main repo could save others some time, particularly the data-driven modellers!https://github.com/simmonsja/ShoreModel_Benchmark/blob/jsdev/3.modelling_template.ipynb (with functions in
functions/data_load.py
)One minor thing while putting that together was seeing that the dates weren't playing ball always - the
shorelines_*.csv
files were a bit inconsistent with the date format - perhaps it would be worth just rounding all to%Y-%m-%d
to make it easier rather than having additionalH:M:S
?Thanks again!