spectral.utils.io.load_simulation_data#

spectral.utils.io.load_simulation_data(data_dir: Path | str, filename_base: str, prefer: Literal['parquet', 'pickle'] = 'parquet') → DataFrame[source]#

Load simulation data with automatic fallback between parquet and pickle.

Parameters:

data_dirPath or str: Directory containing the data files
filename_basestr: Base filename without extension (e.g., ‘kdv_two_soliton’)
prefer{‘parquet’, ‘pickle’}: Preferred format to try first

Returns:

pd.DataFrame: Loaded dataframe

Raises:

FileNotFoundError: If neither parquet nor pickle file exists