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So once an initial archive dataset is generated... we may want to modify via QC/QA the files. If its automated, thats not an issue (perform tasks, save xdf file with attendent meta data modified where necessary)... but if we want a more manual approach... eg export to csv file to manually edit, we need to ingest the new csv file and update the archive file
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This is actually quite simple with the xarray->dataframe->csv approach for editing... then a csv->dataframe->xarray remapping would also be pretty transparent. Dimensionality shouldn't change in this procedure
Workflow is currently descriptive with xarray and pandas as the primary work load. Wrappers will make these more convenient in the future as well as similar to existing routines and calls
So once an initial archive dataset is generated... we may want to modify via QC/QA the files. If its automated, thats not an issue (perform tasks, save xdf file with attendent meta data modified where necessary)... but if we want a more manual approach... eg export to csv file to manually edit, we need to ingest the new csv file and update the archive file
The text was updated successfully, but these errors were encountered: