Provided by: python-tables_3.1.1-0ubuntu1_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 Overwite 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)