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NOTICE: This version of the NSF Unidata web site (archive.unidata.ucar.edu) is no longer being updated.
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If your data fits into xarray it can be fairly simple to do in python: https://gist.github.com/kwilcox/c41834297b1a3b732cae3ee16621f6d0 Pedro and Walter - Thank you for the reading material on more generic/robust approaches! On Fri, Oct 14, 2016 at 12:53 AM Pedro Vicente < pedro.vicente@xxxxxxxxxxxxxxxxxx> wrote: > Hi Charlie ! > > > So, I am doing that exact same thing. > > I wrote > > 1) The specification to convert netCDF/HDF5 to "a" JSON format (note the > "a" > here) > > 2) I wrote the parsing of the JSON format using an open source C JSON > library (janson). > > http://www.digip.org/jansson/ > > 3) left to do: the actual C code of reading/writing netCDF/HDF5 to JSON and > vice-versa (the straightforward part). > > The "a" above means that JSON is not really a format in the sense of netCDF > but really a format that allows to define formats , for a lack of a better > explanation. > > This means that anyone that writes this tool has to write code that write > in > a particular JSON representation , only valid for that tool. > > Like you , I searched and there was not a good one, so I wrote one. > > The first criteria was that it had to be obvious for anyone looking at the > JSON text file, that that was indeed a netCDF/HDF5 file: hierarchy clearly > show, metadata and data > clearly shown > > My first look was HDF5-JSON > > http://hdf5-json.readthedocs.io/en/latest/ > > but the format seemed like a mess to look at > > example > > http://hdf5-json.readthedocs.io/en/latest/examples/nullspace_dset.html > > > and the reader is written in Python > > @John Readey > > (why Phyton? HDF5 developer tools should be all about writing in C/C++) > > > > The specification is here > > http://www.space-research.org/ > > Click on menu > "Code blog", > then > "netCDF/HDF5 to JSON and vice-versa" > > > In the process I learned all about JSON and it is a neat format to > represent > data . > > In particular, it allows nested structures and arrays, which suits > perfectly > for netCDF > > here are two nested groups > > { > "group_name1": > { > "group_name2": "group" > } > } > > a dataset > > { > "dset1" : ["dataset", "STAR_INT32", 2, [3, 4], [1, 2, 3, 4, 5, 6, 7, 8, 9, > 10, 11, 12]] > } > > > > This is still under development, > > I would like to make this some kind of "official" netCDF/HDF5 JSON format > for the community, so I encourage anyone to read the specification > > direct link > > http://www.space-research.org/blog/star_json.html > > If you see any flaw in the design or antything in the design that you would > like to have change please let me know now > > At the moment it only (intentionally) uses common generic features of both > netCDF and HDF5, which are the numeric atomic types and strings. > > Enjoy > > > ---------------------- > Pedro Vicente > pedro.vicente@xxxxxxxxxxxxxxxxxx > http://www.space-research.org/ > > > > > ----- Original Message ----- > From: "Charlie Zender" <zender@xxxxxxx> > To: "netCDF Mail List" <netcdfgroup@xxxxxxxxxxxxxxxx> > Sent: Thursday, October 13, 2016 11:10 PM > Subject: [netcdfgroup] How to dump netCDF to JSON? > > > > Hello netCDFers, > > > > A project I am working on wants to convert netCDF files to JSON. > > The requirements are to dump an arbitrary netCDF-extended file > > (with groups but without funky vlen/compound types) to JSON. > > The first few solutions that we googled (ncdump-json, netcdf2json.py) > > do not satisfy these requirements. What is the most robust and easy > > command-line tool (not web-service) that dumps netCDF to JSON? > > Ideally it would be somewhat configurable like ncdump -h/-x or > > ncks --cdl/--xml. > > > > Charlie > > -- > > Charlie Zender, Earth System Sci. & Computer Sci. > > University of California, Irvine 949-891-2429 <(949)%20891-2429> )'( > > > > _______________________________________________ > > NOTE: All exchanges posted to Unidata maintained email lists are > > recorded in the Unidata inquiry tracking system and made publicly > > available through the web. Users who post to any of the lists we > > maintain are reminded to remove any personal information that they > > do not want to be made public. > > > > > > netcdfgroup mailing list > > netcdfgroup@xxxxxxxxxxxxxxxx > > For list information or to unsubscribe, visit: > > http://www.unidata.ucar.edu/mailing_lists/ > > _______________________________________________ > NOTE: All exchanges posted to Unidata maintained email lists are > recorded in the Unidata inquiry tracking system and made publicly > available through the web. Users who post to any of the lists we > maintain are reminded to remove any personal information that they > do not want to be made public. > > > netcdfgroup mailing list > netcdfgroup@xxxxxxxxxxxxxxxx > For list information or to unsubscribe, visit: > http://www.unidata.ucar.edu/mailing_lists/ >
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