load_data§

typed_lisa_toolkit.load_data(file_path: str | Path, *, domain: Literal['time'], kind: str | None = None, sparse: bool = False, legacy: bool = False) → TSData[source]§
typed_lisa_toolkit.load_data(file_path: str | Path, *, domain: Literal['frequency'], kind: None = None, sparse: bool = False, legacy: bool = False) → FSData
typed_lisa_toolkit.load_data(file_path: str | Path, *, domain: Literal['frequency'], kind: Literal['timed'], sparse: bool = False, legacy: bool = False) → TimedFSData
typed_lisa_toolkit.load_data(file_path: str | Path, *, domain: Literal['time-frequency'], kind: Literal['stft'], sparse: Literal[False] = False, legacy: bool = False) → STFTData[Grid2DCartesian[Axis[Linspace, ModuleType], Axis[Linspace, ModuleType]]]
typed_lisa_toolkit.load_data(file_path: str | Path, *, domain: Literal['time-frequency'], kind: Literal['stft'], sparse: Literal[True], legacy: bool = False) → STFTData[Grid2DSparse[Axis[Linspace, ModuleType], Axis[Linspace, ModuleType]]]
typed_lisa_toolkit.load_data(file_path: str | Path, *, domain: Literal['time-frequency'], kind: Literal['wdm'], sparse: Literal[False] = False, legacy: bool = False) → WDMData[Grid2DCartesian[Axis[Linspace, ModuleType], Axis[Linspace, ModuleType]]]
typed_lisa_toolkit.load_data(file_path: str | Path, *, domain: Literal['time-frequency'], kind: Literal['wdm'], sparse: Literal[True], legacy: bool = False) → WDMData[Grid2DSparse[Axis[Linspace, ModuleType], Axis[Linspace, ModuleType]]]: Load the data from a saved HDF5 file.