Provided by: python-tables_3.2.2-2_all 

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)