conversion from JSON to DataFrame

[DeliciousHair]

This (from _panalysis_ga.py)

            for row in rows:
                ...
                drow = {}
                for i, c in enumerate(cols):
                    drow.update({c : d[i]})
                    
                df = pd.concat((df, pd.DataFrame(drow, index=[0])),
                               ignore_index=True)

is unforgivably awful, as it will take far too long to convert a decent size dataset. This needs to be done as a block operation, but I'm not sure how to parse the object from GA efficiently.