def _save_results(options, module, core_results, fit_results):
    """
    Save results of analysis as tables and figures

    Parameters
    ----------
    options : dict
        Option names and values for analysis
    module : str
        Module that contained function used to generate core_results
    core_results : dataframe, array, value, list of tuples
        Results of main analysis
    fit_results : list or None
        Results of comparing emp analysis to models, None if not applicable

    """

    logging.info("Saving all results")

    # Use custom plot format
    mpl.rcParams.update(misc.rcparams.ggplot_rc)

    # Make run directory
    os.makedirs(options['run_dir'])

    # Write core results
    _write_core_tables(options, module, core_results)

    # Write additional results if analysis from emp
    if module == 'emp':
        _write_subset_index_file(options, core_results)

    # Write model/data comparison if models were given
    if fit_results:
        models = options['models'].replace(' ','').split(';')
        for i, core_result in enumerate(core_results):
            _write_fitted_params(i, models, options, fit_results)
            _write_test_statistics(i, models, options, fit_results)
            _write_comparison_plot_table(i, models, options,
                                         core_results, fit_results)
def _save_results ( options , module , core_results , fit_results ) : logging . info ( "Saving all results" ) mpl . rcParams . update ( misc . rcparams . ggplot_rc ) os . makedirs ( options [ 'run_dir' ] ) _write_core_tables ( options , module , core_results ) if module == 'emp' : _write_subset_index_file ( options , core_results ) if fit_results : models = options [ 'models' ] . replace ( ' ' , '' ) . split ( ';' ) for i , core_result in enumerate ( core_results ) : _write_fitted_params ( i , models , options , fit_results ) _write_test_statistics ( i , models , options , fit_results ) _write_comparison_plot_table ( i , models , options , core_results , fit_results )
Save results of analysis as tables and figures

    Parameters
    ----------
    options : dict
        Option names and values for analysis
    module : str
        Module that contained function used to generate core_results
    core_results : dataframe, array, value, list of tuples
        Results of main analysis
    fit_results : list or None
        Results of comparing emp analysis to models, None if not applicable