save_supy(df_output: pandas.core.frame.DataFrame, df_state_final: pandas.core.frame.DataFrame, freq_s: int = 3600, site: str = '', path_dir_save: str = PosixPath('.'), path_runcontrol: str = None, save_tstep=False, logging_level=50, output_level=1, debug=False) → list¶
Save SuPy run results to files
- df_output (pandas.DataFrame) – DataFrame of output
- df_state_final (pandas.DataFrame) – DataFrame of final model states
- freq_s (int, optional) – Output frequency in seconds (the default is 3600, which indicates hourly output)
- site (str, optional) – Site identifier (the default is ‘’, which indicates site identifier will be left empty)
- path_dir_save (str, optional) – Path to directory to saving the files (the default is Path(‘.’), which indicates the current working directory)
- path_runcontrol (str, optional) – Path to SUEWS RunControl.nml, which, if set, will be preferably used to derive
path_dir_save. (the default is None, which is unset)
- save_tstep (bool, optional) – whether to save results in temporal resolution as in simulation (which may result very large files and slow progress), by default False.
- logging_level (logging level) – one of these values [50 (CRITICAL), 40 (ERROR), 30 (WARNING), 20 (INFO), 10 (DEBUG)]. A lower value informs SuPy for more verbose logging info.
- output_level (integer, optional) – option to determine selection of output variables, by default 1. Notes: 0 for all but snow-related; 1 for all; 2 for a minimal set without land cover specific information.
- debug (bool, optional) – whether to enable debug mode (e.g., writing out in serial mode, and other debug uses), by default False.
a list of paths of saved files
- save results of a supy run to the current working directory with default settings
>>> list_path_save = supy.save_supy(df_output, df_state_final)
- save results according to settings in RunControl.nml
>>> list_path_save = supy.save_supy(df_output, df_state_final, path_runcontrol='path/to/RunControl.nml')
- save results of a supy run at resampling frequency of 1800 s (i.e., half-hourly results) under the site code
Testto a customised location ‘path/to/some/dir’
>>> list_path_save = supy.save_supy(df_output, df_state_final, freq_s=1800, site='Test', path_dir_save='path/to/some/dir')