Hi John
Thanks for you answer.
In some cases, I need to unpack and repack data, because I need to extract
data according to user's crtiteria, among others, data value ( ie
temperature between 10 and 30).
I use NetcdfDataset.acquireDataset() for performance as described in
documentation.
I also could use NetcdfDataset.openDataset() with "enhance" parameter set
to false, but I need to add Coordinate Systems, that's also why I use the
"enhance" flag to true (acquireDataset() or openDataset()).
Didier
At 18:05 19/06/2007, John Caron wrote:
Hi Didier:
Is there some reason to unpack and repack?
If you open with NetcdfDataset.openFile() it will not get unpacked - you
will have the original variable and data.
John
Didier Earith wrote:
Hi all,
I have a problem with scale factor and offset when I use th netcdf java
API (v2.2.20).
I have to extract netcdf variables with scale_factor and offset
attributes and write the results as another netcdf file.
The NetcdfDataset class automatically deals with scale_factor and offset
attributes when it opens dataset, and that's right (but it removed
scale_factor and add_offset attributes)
But when I want to write variables into another netcdf file, I need to
have the data type, the scale factor and offset values of the original
variables to packed data again.
The VariableDS class provides a public getOriginalDatatype API, that's OK.
But scale factor and offset attribute of the VariableDS class are private
and there is no API get them.
I saw the getOriginalVariable in the VariableDS class which return the
original variable with the scale_factor and add_offset attributes. But
unfortunately, this API is not visible (private) :
ucar.nc2.Variable getOriginalVariable() {
*return* orgVar; // proxy.getOriginalVariable();
}
So, how can I get the scale factor and offset values with netcdf java API
to pack again the variables.
Didier.
Cliquez sur l'url suivante
https://www.mailcontrol.com/sr/8!q3CiRmgtQvlGuCKKYE0NjoltADyPBlRy3JPOjpssZhyReyAo6au7C!kks57+B1buxs1PiJPWRh90cAXi4VZoXd5s8WQXStsBQcnHsTGa1AYWNtNXzipbO9vW8zU2JYc6LAtKacDpEhSGvppppmJUynrsDwiiQ09ZQZFPA55AdtsrCGZe+PlFOmZV7AVlr5jYqyKPEgQJ9WlXfwQkELAaC8nK3p6uY3
si ce message est indésirable (pourriel).
==============================================================================
To unsubscribe netcdf-java, visit:
http://www.unidata.ucar.edu/mailing-list-delete-form.html
==============================================================================
