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Update Timeseries Files #224
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To reorder the data, use a pivot table
to reorder by tide, use
Creates matrices of M date rows by N transect columns Can then be visualized in one line |
This is awesome! Thank you for contributing the codes here! I'll try to incorporate the changes coming soon. |
Here is a relevant update from our discussion on Slack:
I think the individual csv files for transects can be scrapped. Obviously, 2, 4 and 5 would only get made if tidal correction was applied """ Tasks
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In today's development meeting we decided it would be good to add the satellite the shoreline was derived from to the merged raw timeseries and merged tidally corrected shorelines if possible. Tasks
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We also need a script to create CSV files for each transect in case the user wants this data because this feature will be removed from coastseg.
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I'm working on this issue and I realized something. If we add the satellite to the raw timeseries outputs and the tide corrected outputs then this will make them incompatible with any coastsat related post processing. Basically a user couldn't use their timeseries.csv with any of the existing CoastSat codes that use the timeseries. However if we are okay with this change I can modify the rest of the CoastSeg workflows and coastsat_package to handle this change. @dbuscombe-usgs we might want to re-visit this idea later to save some time. |
This feature has been implemented since 1.1.34 so I'm going to close it. |
Currently the application creates a CSV file for each transect that was present in the session when shorelines were extracted. When there are hundreds of transects presents this creates a lot of unnecessary files. In our meeting today we discussed that would be better to create a single file with all the transects present in it. If the user wants to create a CSV file for every single transect then they can do that using a utility script instead. This script will be found SDS tools or the scripts folder in coastseg.
We also discussed changing the file format for the tidally corrected version of the time series. We think would be better if it mirrored the format that the original raw Time series was in AKA the dates as rows, The Columns being the transect ID, and the content of each cell being the cross distance of the shoreline point across the transect. We would create a separate file that would capture the tide predictions for each transect ID. This would involve rewriting a bit of the code and updating the merge sessions functions, but would ultimately make the process of tidal correction much easier.
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