multiindex dataframe in pandas

example.py

import pandas as pd
from pandas.core.indexes.api import ensure_index_from_sequences

col_dict = {'FrameId':(0,), 'Id':(1,), 'X': (321.89,), 'Y': (381.81,), 'Width': (39.45,), 'Height': (49.45,), 'ClassId': (-1,), 'Visibility': (-1,), 'unused': (-1,)}

names = ['X', 'Y', 'Width', 'Height', 'Confidence', 'ClassId', 'Visibility', 'unused']
arrays = col_dict['FrameId'], col_dict['Id']



index = ensure_index_from_sequences(arrays, names=('FrameId', 'Id')) 

dfnew = pd.DataFrame(col_dict, columns=names, index=index)