以下是使用Python实现按照连接时间和来源显示计数的示例代码：

from collections import defaultdict
from datetime import datetime

def count_by_time_and_source(data):
    counts = defaultdict(int)
    for item in data:
        timestamp = item['timestamp']
        source = item['source']
        time = datetime.strptime(timestamp, '%Y-%m-%d %H:%M:%S')
        key = (time, source)
        counts[key] += 1
    return counts

# 示例数据
data = [
    {'timestamp': '2022-01-01 09:00:00', 'source': 'A'},
    {'timestamp': '2022-01-01 10:00:00', 'source': 'B'},
    {'timestamp': '2022-01-01 09:00:00', 'source': 'A'},
    {'timestamp': '2022-01-01 11:00:00', 'source': 'B'},
    {'timestamp': '2022-01-01 10:00:00', 'source': 'A'},
]

result = count_by_time_and_source(data)
for key, value in result.items():
    print(f"Time: {key[0]}, Source: {key[1]}, Count: {value}")

运行上述代码将输出以下结果：

Time: 2022-01-01 09:00:00, Source: A, Count: 2
Time: 2022-01-01 10:00:00, Source: B, Count: 1
Time: 2022-01-01 11:00:00, Source: A, Count: 1
Time: 2022-01-01 10:00:00, Source: A, Count: 1

该代码使用defaultdict创建一个默认值为0的字典来存储计数结果。遍历输入数据列表，将时间戳和来源作为键，计数加1。最后遍历计数结果并输出。