按名称和期限对数组进行分组

def group_array_by_name_and_deadline(arr):
    groups = {}  # 创建一个空的字典用于存储分组结果
    
    for item in arr:
        name = item['name']
        deadline = item['deadline']
        
        key = (name, deadline)  # 使用名称和期限作为键
        
        if key not in groups:
            groups[key] = []  # 创建一个新的空列表作为初始值
        
        groups[key].append(item)  # 将当前元素添加到对应的列表中
    
    return groups

# 示例用法
data = [
    {'name': 'A', 'deadline': '2022-01-01', 'value': 100},
    {'name': 'B', 'deadline': '2022-01-01', 'value': 200},
    {'name': 'A', 'deadline': '2022-02-01', 'value': 150},
    {'name': 'C', 'deadline': '2022-02-01', 'value': 300},
    {'name': 'B', 'deadline': '2022-03-01', 'value': 250}
]

result = group_array_by_name_and_deadline(data)

for key, value in result.items():
    print(f'Group {key}: {value}')

Group ('A', '2022-01-01'): [{'name': 'A', 'deadline': '2022-01-01', 'value': 100}]
Group ('B', '2022-01-01'): [{'name': 'B', 'deadline': '2022-01-01', 'value': 200}]
Group ('A', '2022-02-01'): [{'name': 'A', 'deadline': '2022-02-01', 'value': 150}]
Group ('C', '2022-02-01'): [{'name': 'C', 'deadline': '2022-02-01', 'value': 300}]
Group ('B', '2022-03-01'): [{'name': 'B', 'deadline': '2022-03-01', 'value': 250}]