cf.NetCDFArray

---

class cf.NetCDFArray(filename=None, ncvar=None, varid=None, group=None, dtype=None, ndim=None, shape=None, size=None, mask=True)

Bases: cfdm.data.netcdfarray.NetCDFArray, cf.data.abstract.filearray.FileArray

A sub-array stored in a netCDF file.

Initialization

Parameters

filename: str

The name of the netCDF file containing the array.

ncvar: str, optional

The name of the netCDF variable containing the array. Required unless varid is set.

varid: int, optional

The UNIDATA netCDF interface ID of the variable containing the array. Required if ncvar is not set, ignored if ncvar is set.

group: None or sequence of str, optional

Specify the netCDF4 group to which the netCDF variable belongs. By default, or if group is None or an empty sequence, it assumed to be in the root group. The last element in the sequence isw the name of the group in which the variable lies, with other elements naming any parent groups (excluding the root group).

Parameter example

To specify that a variable is in the root group: ``group=()` or ``group=None`

Parameter example

To specify that a variable is in the group ‘/forecasts’: group=['forecasts']

Parameter example

To specify that a variable is in the group ‘/forecasts/model2’: group=['forecasts', 'model2']

New in version 3.6.0.

dtype: numpy.dtype

The data type of the array in the netCDF file. May be None if the numpy data-type is not known (which can be the case for netCDF string types, for example).

shape: tuple

The array dimension sizes in the netCDF file.

size: int

Number of elements in the array in the netCDF file.

ndim: int

The number of array dimensions in the netCDF file.

mask: bool, optional

If False then do not mask by convention when reading data from disk. By default data is masked by convention.

A netCDF array is masked depending on the values of any of the netCDF variable attributes valid_min, valid_max, valid_range, _FillValue and missing_value.

New in version 3.4.0.

Examples:

>>> import netCDF4
>>> nc = netCDF4.Dataset('file.nc', 'r')
>>> v = nc.variable['tas']
>>> a = NetCDFFileArray(filename='file.nc', ncvar='tas',
...                     group=['forecast'], dtype=v.dtype,
...                     ndim=v.ndim, shape=v.shape, size=v.size)

Inspection

Methods

get_ncvar	The name of the netCDF variable containing the array.
get_varid	The UNIDATA netCDF interface ID of the variable containing the array.
get_compression_type	The type of compression that has been applied to the underlying array.
get_subspace	Return a subspace, defined by indices, of a numpy array.

Attributes

array	Return an independent numpy array containing the data.
dtype	Data-type of the data elements.
ndim	Number of array dimensions
shape	Tuple of array dimension sizes.
size	Number of elements in the array.

File

Methods

close	Close the file containing the data array.
get_filename	The name of the netCDF file containing the array.
open	Return a netCDF4.Dataset object for the file containing the data array.

Attributes

file_pointer	TODO
filename	TODO

Miscellaneous

copy	Return a deep copy of the array.
get_subspace	Return a subspace, defined by indices, of a numpy array.
inspect	Inspect the object for debugging.
to_memory	Bring an array on disk into memory and retain it there.

Special

Methods

__getitem__

x.__getitem__(indices) <==> x[indices]