1df = pd.DataFrame({'Name': ['John', 'Sara','Peter','Cecilia'],
2 'Age': [38, 47,63,28],
3 'City':['Boston', 'Charlotte','London','Memphis']})
4
5datadict = df.to_dict('records')
1# Supposing d is your list of dicts, simply
2df = pd.DataFrame(d)
3# Note: this does not work with nested data
1In [20]: timeit df.T.to_dict().values()
21000 loops, best of 3: 395 µs per loop
3
4In [21]: timeit df.to_dict('records')
510000 loops, best of 3: 53 µs per loop