Support full netcdf4 features
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
Research direction
No source files, tests, or entry points are identified. Start by reviewing the netCDF4 feature list and related issue #94, then define the supported user-defined types and acceptance tests; done means the agreed structural features work within the Python module's stated limitations.
Written by the indexing model from the issue text.
Description
That is,, structural features anyway (i.e. not including compression, chunking + the like).
Which in full is ...
- groups
- extended basic types
- multiple unlimited dimensions
- user-defined types
- variable-length types (see separate #94 )
- enum types
- compound types (i.e. like data records, C structures, or numpy recarrays)
- opaque types
NOTE:
Some of this is not supported by the python netCDF4 module.
- XX opaque types
- XX usertypes WITHIN usertypes,
- e.g. compounds containing vlens or enums (annoyingly, means no strings or enums in record-like structures)
- e.g. variable-length content of compounds (structures)
- XX can't preserve file-ordering of usertypes, as python layer doesn't provide access to this
- (though might be possible via private properties ??)
See here ...
Compound (struct), variable length (vlen) and enumerated (enum) data types are supported, but not the opaque data type.
Mixtures of compound, vlen and enum data types ... are not supported.
- Dominant language
- Python
- Stars
- 16
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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