按年和月对DateTime进行分组，然后订购

import datetime

data = [
    {'date': datetime.datetime(2022, 1, 5)},
    {'date': datetime.datetime(2022, 2, 10)},
    {'date': datetime.datetime(2022, 2, 15)},
    {'date': datetime.datetime(2023, 3, 20)},
]

grouped_data = {}

for item in data:
    year = item['date'].year
    month = item['date'].month
    
    if year not in grouped_data:
        grouped_data[year] = {}
    
    if month not in grouped_data[year]:
        grouped_data[year][month] = []
    
    grouped_data[year][month].append(item)

print(grouped_data)

{
    2022: {
        1: [{'date': datetime.datetime(2022, 1, 5)}],
        2: [{'date': datetime.datetime(2022, 2, 10)}, {'date': datetime.datetime(2022, 2, 15)}]
    },
    2023: {
        3: [{'date': datetime.datetime(2023, 3, 20)}]
    }
}

# 继续以上示例代码
ordered_data = {}

for year, months in grouped_data.items():
    for month, items in months.items():
        ordered_items = sorted(items, key=lambda x: x['date'])
        
        if year not in ordered_data:
            ordered_data[year] = {}
        
        ordered_data[year][month] = ordered_items

print(ordered_data)

{
    2022: {
        1: [{'date': datetime.datetime(2022, 1, 5)}],
        2: [{'date': datetime.datetime(2022, 2, 10)}, {'date': datetime.datetime(2022, 2, 15)}]
    },
    2023: {
        3: [{'date': datetime.datetime(2023, 3, 20)}]
    }
}