html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/1536#issuecomment-365479970,https://api.github.com/repos/pydata/xarray/issues/1536,365479970,MDEyOklzc3VlQ29tbWVudDM2NTQ3OTk3MA==,905179,2018-02-14T02:55:22Z,2018-02-14T02:55:22Z,NONE,"The methods that need to be implemented are (in the C API) as follows:
 > int nc_def_var_filter(int ncid, int varid, unsigned int id, size_t nparams,
                                     const unsigned int* parms);
The only tricky part is passing a vector of unsigned integers (the parms argument).

>int nc_inq_var_filter(int ncid, int varid, unsigned int* idp, size_t* nparams,
                                   unsigned int* params);
This requires passing values out via pointers. Also, this uses the standard netcdf-c
trick in which the function is called twice. First with nparams defined, but params
has the value NULL. This gives the caller the number of parameters. The function
is called a second time after allocating the params vector and with that vector
as the final argument.

","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,253476466
https://github.com/pydata/xarray/issues/1536#issuecomment-365476120,https://api.github.com/repos/pydata/xarray/issues/1536,365476120,MDEyOklzc3VlQ29tbWVudDM2NTQ3NjEyMA==,905179,2018-02-14T02:30:05Z,2018-02-14T02:30:05Z,NONE,"The API is not yet exposed thru anything but the C api. So the python, fortran,
and c++ wrappers do not yet show it. Passing it thru netcdf-python is probably
pretty trivian, though.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,253476466
https://github.com/pydata/xarray/issues/1536#issuecomment-365475898,https://api.github.com/repos/pydata/xarray/issues/1536,365475898,MDEyOklzc3VlQ29tbWVudDM2NTQ3NTg5OA==,905179,2018-02-14T02:28:42Z,2018-02-14T02:28:42Z,NONE,"A bit confusing, but I think the answer is yes. For example we provide a bzip2
compression plugin as an example (see examples/C/hdf5plugins in the netcdf-c
distribution).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,253476466
https://github.com/pydata/xarray/issues/1536#issuecomment-365419155,https://api.github.com/repos/pydata/xarray/issues/1536,365419155,MDEyOklzc3VlQ29tbWVudDM2NTQxOTE1NQ==,905179,2018-02-13T21:59:35Z,2018-02-13T21:59:35Z,NONE,"You may already know, but should note that the filter stuff in netcdf-c is now
available in netcdf-c library version 4.6.0. So any filter  plugin usable with hdf5
can now be used both for reading and writing thru the netcdf-c api.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,253476466
https://github.com/pydata/xarray/issues/1536#issuecomment-325775498,https://api.github.com/repos/pydata/xarray/issues/1536,325775498,MDEyOklzc3VlQ29tbWVudDMyNTc3NTQ5OA==,905179,2017-08-29T19:35:55Z,2017-08-29T19:35:55Z,NONE,"The github branch filters.dmh for the netcdf-c library
now exposes the HDF5 dynamic filter capability.
This is documented here:
https://github.com/Unidata/netcdf-c/blob/filters.dmh/docs/filters.md
I welcome suggestions for improvements.

I also note that I am extending this branch to now handle szip compression.
It turns out there is now a patent-free implementation called libaec (HT Rich Signell)
so there is no reason not to make it available.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,253476466