You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
slice time before plotting, is faster (and saves memory) for timeseries extending beyond tstart/tstop
extend the statistics csv: filename, platform_name, platform_id, t0, tend, nr of datapoints, mean(dt) in min, mode(dt) in min, completeness in %, min. wl, max. wl, min(dt) in min, max(dt) in min, lon, lat, source. Also all values for timeseries without nans?
add xyn writing, ssh_catalog_toxynfile() already exists in dfm_tools but we should first derive the catalog from the netcdf files
think about coarsening, if plotting three months, is hourly/daily scatter still enough to plot continuous line? Maybe add optimize=True argument. Maybe just first try it.
less printing
derive stats from original dataset (before time slicing)
improve figure: smaller text, more x-ticks, remove xlabel
increase float precision of ssh_catalog_toxynfile()?
ssh_catalog_toxynfile()
already exists in dfm_tools but we should first derive the catalog from the netcdf filesoptimize=True
argument. Maybe just first try it.ssh_catalog_toxynfile()
?dfmt.ssh_netcdf_overview()
(assert file presence)The text was updated successfully, but these errors were encountered: