Provided by: python3-tables_3.5.2-4_all bug

NAME

       nctoh5 - Convert a NetCDF file into a PyTables (HDF5 format) file

SYNOPSIS

       nctoh5   -h  -v  -o  --complevel=(0-9)  --complib=lib  --shuffle=(0|1)  --fletcher32=(0|1)
       --unpackshort=(0|1) --quantize=(0|1) netcdffilename hdf5filename

DESCRIPTION

       Convert a generic NetCDF file into a PyTables (HDF5 format) file

OPTIONS

       A summary of options is included below.

       -h     Prints a help text.

       -v     Show more information.

       -o     Overwrite destination file.

       --complevel=(0-9)
              Sets a compression level (0 for no compression, which is the default).

       --complib=lib
              Sets the compression library to be used during the copy. lib can be set to  "zlib",
              "lzo" or "ucl". Defaults to "zlib".

       --shuffle=(0|1)
              Activate or not the shuffling filter (default is active if complevel>0).

       --fletcher32=(0|1)
              Whether activate or not the fletcher32 filter (not active by default).

       --unpackshort=(0|1)
              Unpack short integer variables to float variables using scale_factor and add_offset
              netCDF variable attributes (not active by default).

       --quantize=(0|1)
              Quantize data to improve compression using least_significant_digit netCDF  variable
              attribute (not active by default).  See
              http://www.cdc.noaa.gov/cdc/conventions/cdc_netcdf_standard.shtml
              for further explanation of what this attribute means.

SEE ALSO

       ptdump(1),ptrepack(1).
       These utilities are documented fully by PyTables user's manual.

AUTHOR

       This manual page was written by Francesc Altet <faltet@carabos.com>.

                                        November 11, 2004                               NCTOH5(1)