Get a Pose energy table as a DataFrame

pose_to_df.py

def get_energies_dataframe(pose, score_function, residues=[]):
    
    values = []
    labels = []
    
    data = []
    
    if len(residues) > 0:
        residue_set = residues
    else:
        residue_set = range(1, pose.total_residue()+1) 

    score_types = score_function.get_nonzero_weighted_scoretypes()
    begin_score = score_function(pose) # must score anyway 
    for residue in residue_set:
        for st in score_types:
            label = str(st).replace('ScoreType.', '')
            value = pose.energies().residue_total_energies(residue)[st]
            data.append((residue, label, value))
                          
    return pandas.DataFrame(data, columns=['residue', 'score_type', 'value'])
                          
get_energies_dataframe(p, s, residues=[1, 2, 3])

Is this a complete function?

Where is the code for 'get_nonzero_weighted_scoretypes()'?
Also, what about the code for setting 's'/'score_function' as its own function to apply to 'pose' as a part of generating 'begin_score'?

Are these generic functions for PyRosetta?