sup3r.preprocessing.loaders.nc.LoaderNC

class LoaderNC(file_paths, features='all', res_kwargs=None, chunks='auto', BaseLoader=None)

Bases: BaseLoader

Base NETCDF loader. “Loads” netcdf files so that a .data attribute provides access to the data in the files. This object provides a __getitem__ method that can be used by Sampler objects to build batches or by other objects to derive / extract specific features / regions / time_periods.

Parameters:

• file_paths (str | pathlib.Path | list) – Location(s) of files to load

• features (list | str) – Features to return in loaded dataset. If ‘all’ then all available features will be returned.

• res_kwargs (dict) – Additional keyword arguments passed through to the BaseLoader. BaseLoader is usually xr.open_mfdataset for NETCDF files and MultiFileResourceX for H5 files.

• chunks (dict | str | None) – Dictionary of chunk sizes to pass through to dask.array.from_array() or xr.Dataset().chunk(). Will be converted to a tuple when used in from_array(). These are the methods for H5 and NETCDF data, respectively. This argument can be “auto” in additional to a dictionary. If this is None then the data will not be chunked and instead loaded directly into memory.

• BaseLoader (Callable) – Optional base loader update. The default for H5 files is MultiFileResourceX and for NETCDF is xarray.open_mfdataset

Methods

BASE_LOADER(file_paths, **kwargs)	Lowest level interface to data.
post_init_log([args_dict])	Log additional arguments after initialization.
wrap(data)	Return a Sup3rDataset object or tuple of such.

Attributes

data	Return underlying data.
file_paths	Get file paths for input data
shape	Get shape of underlying data.

BASE_LOADER(file_paths, **kwargs)

Lowest level interface to data.

property data

Return underlying data.

Returns:

Sup3rDataset

See also

wrap()

property file_paths

Get file paths for input data

post_init_log(args_dict=None)

Log additional arguments after initialization.

property shape

Get shape of underlying data.

wrap(data)

Return a Sup3rDataset object or tuple of such. This is a tuple when the .data attribute belongs to a Collection object like BatchHandler. Otherwise this is Sup3rDataset object, which is either a wrapped 2-tuple or 1-tuple (e.g. len(data) == 2 or len(data) == 1). This is a 2-tuple when .data belongs to a dual container object like DualSampler and a 1-tuple otherwise.