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Why this feature is necessary:
Necessary is a bit strong -- I can definitely compute multiyear means from the annual means rex outputs easy enough. At the same time I end up doing it a lot and it would be handy!
A possible solution is:
Basically, be able to point temporal_stats to a bunch of h5's and tell it to take the mean across all files for a certain dataset.
I have considered the following alternatives:
What I do now, which again works, is compute the annual means and then postprocess the multiyear manually.
Charge code
None for now, i'll update if I think I can find something
Urgency / Timeframe
Not urgent at all, just a whishlist feature.
The text was updated successfully, but these errors were encountered:
Have you thought about using the rex multi year mean handler (see usage examples in link below)? This will auto stack timeseries data for a glob-like h5 pattern request. Then you would just run a .mean(axis=0). The only major inconvenience i see is storing all years for all sites in memory could be a big hog.... But you could iterate on row slices pretty easily or just get a bigmem node.
Why this feature is necessary:
Necessary is a bit strong -- I can definitely compute multiyear means from the annual means rex outputs easy enough. At the same time I end up doing it a lot and it would be handy!
A possible solution is:
Basically, be able to point temporal_stats to a bunch of h5's and tell it to take the mean across all files for a certain dataset.
I have considered the following alternatives:
What I do now, which again works, is compute the annual means and then postprocess the multiyear manually.
Charge code
None for now, i'll update if I think I can find something
Urgency / Timeframe
Not urgent at all, just a whishlist feature.
The text was updated successfully, but these errors were encountered: