jangada.serialization.Persistable.load

classmethod Persistable.load(path: Path | str) → Persistable

Load an object from an HDF5 file.

Parameters:

pathPath | str

File path to load from.

Returns:

Persistable

Reconstructed object.

Raises:

FileNotFoundError

If file does not exist.

See also

save

Save counterpart

Notes

The entire file is loaded into memory. For large files, consider using context manager mode for lazy loading:

with Experiment('large_file.hdf5', mode='r') as exp:
    # Access data on-demand
    chunk = exp.data[100:200]

Examples

>>> exp = Experiment.load('experiment.hdf5')
>>> print(exp.name)
'Test'