Hi Bryan,
By default PyNIO returns a NumPy masked array if a _FillValue attribute is
found for the variable you are trying to load. It looks like Pauli Virtenen has
pointed to the relevant NumPy documentation. Using masked array methods you can
discover the values that are masked and print as '-
On Thu, Feb 24, 2011 at 12:00 PM, Bryan Woods wrote:
> Hello,
>
> I am loading in data from the GRIB2 files using PyNIO. Once I load them
> into numpy arrays I am left with a halo of values near the array boundaries
> that appear to be empty. When I print them or use them in conditional
> stateme
Thu, 24 Feb 2011 13:00:09 -0500, Bryan Woods wrote:
[clip]
> As an example if I print the array I see:
>
> [[-- -- -- ..., -- -- --]
> [-- -- -- ..., -- -- --]
> [-- -- -- ..., -- -- --]
> ...,
> [-- -- -- ..., -- -- --]
> [-- -- -- ..., -- -- --]
> [-- -- -- ..., -- -- --]]
>
> thoug
Hello,
I am loading in data from the GRIB2 files using PyNIO. Once I load them
into numpy arrays I am left with a halo of values near the array
boundaries that appear to be empty. When I print them or use them in
conditional statements I see values of '--'. I'd like to turn these
values into
