How to transfer data from one dictionary to another dictionary or array?

Question

Python

There is the following list with a dictionary:

odds = [
    {'Date': '2021-11-20T12:30:00Z', 'Odds': 4.55, 'Team': 'Leicester City'},
    {'Date': '2021-11-28T14:00:00Z', 'Odds': 1.47, 'Team': 'Leicester City'},
    {'Date': '2021-11-20T15:00:00Z', 'Odds': 2.75, 'Team': 'Burnley'},
    {'Date': '2021-11-28T14:00:00Z', 'Odds': 3.55, 'Team': 'Burnley'},
]

How can I transfer data from the dictionary so that there are no repeated team names, but keffs remain, for example:

{'Date': '2021-11-20T12:30:00Z', 'Odds1': 4.55,  'Odds2': 1.47, 'Team': 'Leicester City'},

Answer 1

defaultdict
Try this:

temp_data = defaultdict(list)

for data in odds:
    temp_data[data['Team']].append((data['Odds'], data['Date']))

temp_data = {key: zip(*value) for key, value in temp_data.items()}
new_data = [dict(Team=team, Odds=odds, Date=date) for team, (odds, date) in temp_data.items()]

Answer 2

odds = [
    {'Date': '2021-11-20T12:30:00Z', 'Odds': 4.55, 'Team': 'Leicester City'},
    {'Date': '2021-11-28T14:00:00Z', 'Odds': 1.47, 'Team': 'Leicester City'},
    {'Date': '2021-11-20T15:00:00Z', 'Odds': 2.75, 'Team': 'Burnley'},
    {'Date': '2021-11-28T14:00:00Z', 'Odds': 3.55, 'Team': 'Burnley'},
]

new=[]
for i in odds:
    new.append(dict())
    for k,v in i.items():
        new[-1][k]=v

I hope you understand the essence
(I edited the answer. I'm sorry, I'm getting used to writing code here, please delete comments with errors)