[Numpy-discussion] Optimize speed of for loop using numpy
Mon Feb 25 22:54:15 CST 2008
On Mon, Feb 25, 2008 at 8:32 PM, Trond Kristiansen <email@example.com> wrote:
> Hi again.
> I have attached the function that the FOR loop is part of as a python file.
> What I am trying to do is to create a set of functions that will read the
> output files (NetCDF) from running the ROMS model (ocean model). The output
> file is organized in xi (x-direction), eta (y-direction), and s
> (z-direction) where the s-values are vertical layers and not depth. This
> particular function (z_slice) will find the closest upper and lower s-layer
> for a given depth in meters (e.g. -100). Then values from the two selcted
> layers will be interpolated to create a new layer at the selected depth
> (-100). The problem is that the s-layers follow the bathymetry and a
> particular s-layer will therefore sometimes be above and sometimes below the
> selected depth that we want to interpolate to. That's why I need a quick
> script that searches all of the layers and find the upper and lower layers
> for a given depth value (which is negative). The z_r is a 3D array
> (s,eta,xi) that is created using the netcdf module.
Ah, that makes things clearer. You should be able to remove the
innermost k-loop by using searchsorted().
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
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