h5netcdf.legacyapi.Dataset.createVariable#
- Dataset.createVariable(varname, datatype, dimensions=(), zlib=False, complevel=4, shuffle=True, fletcher32=False, chunksizes=None, fill_value=None, endian='native')#
Creates a new variable.
- Parameters:
varname (
str) – Name of the new variable. If given as a path, intermediate groups will be created, if not existent.datatype (
numpy.dtype,str,UserType (Enum,VL,Compound)) – Datatype of the new variable.dimensions (
tuple) – Tuple containing dimension name strings. Defaults to empty tuple, effectively creating a scalar variable.zlib (
bool, optional) – IfTrue, variable data will be gzip compressed.complevel (
int, optional) – Integer between 1 and 9 defining compression level. Defaults to 4. Ignored ifzlib=False.shuffle (
bool, optional) – IfTrue, HDF5 shuffle filter will be applied. Defaults toTrue. Ignored ifzlib=False.fletcher32 (
bool, optional) – IfTrue, HDF5 Fletcher32 checksum algorithm is applied. Defaults toFalse.chunksizes (
tuple, optional) – Tuple of integers specifying the chunksizes of each variable dimension. Discussion onh5netcdfchunksizes can be found in (GH52) and (PR127).fill_value (scalar, optional) – Specify
_FillValuefor uninitialized parts of the variable. Defaults toNone.endian (
str, optional) – Control on-disk storage format. Can be any oflittle,bigornative(default).
- Returns:
var (
h5netcdf.legacyapi.Variable) – Variable class instance