Hi guys,
I have a data manipulation question. I have a series of NetCDF files
with the same internal structure. When loaded using InputNetcdf, they
have the form
(Time) --> ( (X, Y) --> ([variable]*))
--------------------------
For example
(Time) --> ((x_ocean, y_ocean) --> (eta_t, hbl, sst, sss))
--------------------------
And I would like to break that up into
[(Time) --> (( X, Y) --> (var))]*
---------------------------
For example
(Time) --> ((x_ocean, y_ocean) --> (eta_t),
(Time) --> ((x_ocean, y_ocean) --> (hbl),
(Time) --> ((x_ocean, y_ocean) --> (sst),
(Time) --> ((x_ocean, y_ocean) --> (sss)
---------------------------
i.e. factor out the variables so they each has a unique data references.
The problem I'm running into is that FieldImpl has a getDomainSet() but
no getRangeSet() - it seems like I have to get each indexed range sample
individually getSample(n). This strikes me as being rather inefficient,
as I will have to parse over every sample in the time array, then every
sample in the x,y array in order to factor out the variables. The
problem is that (a) this is computationally inefficient and (b) that I
think it will also need to use some extra memory, which is already a
problem for our data sets.
Maybe someone could enlighten me as to a better way?
The ultimate goal is that I want to toggle the visibility of each
variable (i.e. temperature, salinity, U, V) independantly, which seems
to require having separate data references for each and using
dataReference.toggle(false).
I also have some three-dimensional data which includes a z_ocean index,
and which I may have to factor out in order to allow people to toggle
the levels independantly.
Cheers,
-Tennessee
