Simply put, the purpose of NetCDF utilities is to simplify writing NetCDF files by placing the NetCDF file metadata into configuration files (e.g., json, toml) and provide a few other useful too.
These utilities started as snippets of code that I constantly reused in my Python workflow to read and write NetCDF files. I posted the files here so others could use them. Hopefully, others find them useful.
With updates to the underlying NetCDF C libraries, HDFEOS files
can be read by netCDF4-python. However, the attribute information
is contained in a string called 'StructMetadata.0'. To get the
attribute information, netCDF_utilities.ncdump checks the file
and returns global attributes with the metadata tree. The netCDF4
Dataset object instance is not updated to include these
attributes.
pip install .
netCDF_utilities.ncgen takes a data dictionary and a attribute
configuration dictionary to generate a NetCDF3 or NetCDF4 file
using the Unidata NetCDF4 API [1]. The attribute information can
be stored in a JSON or TOML configuration file or as a Python dict/OrderedDict.
Dimensions can also be unlimited and one level of groups is supported.
Note that groups are only part of NetCDF4 and are not supported
by NetCDF3. For an example, see
the example folder.
netCDF_utilities.ncdump returns lists containing the dimensions,
variables, and their attribute information. The information is
similar to that of the Unidata ncdump binary utility. If verb=True,
the information will be printed to the screen. For examples, see
the example folder
or
http://schubert.atmos.colostate.edu/~cslocum/netcdf_example.html
.. [1] NetCDF4 API documentation. http://unidata.github.io/netcdf4-python/
.. [2] CF Conventions and Metadata. http://cfconventions.org/
See the file LICENSE.txt for information on the history of this
software, terms & conditions for usage, and a DISCLAIMER OF ALL
WARRANTIES.