将具有不同日期时间戳的数据组合到最接近的日期时间戳,可以通过以下步骤实现:
下面是一个示例代码,演示如何实现上述步骤:
import datetime
def combine_closest_timestamps(timestamps):
timestamps.sort() # 按照从小到大的顺序排序
min_diff = float('inf') # 初始化最小时间差为无穷大
closest_timestamps = []
for i in range(len(timestamps) - 1):
diff = timestamps[i+1] - timestamps[i] # 计算相邻两个时间戳的时间差
if diff < min_diff:
min_diff = diff
closest_timestamps = [timestamps[i], timestamps[i+1]]
elif diff == min_diff:
closest_timestamps.append(timestamps[i])
closest_timestamps.append(timestamps[i+1])
return closest_timestamps
# 示例数据
timestamps = [
datetime.datetime(2022, 1, 1, 10, 0, 0),
datetime.datetime(2022, 1, 1, 12, 0, 0),
datetime.datetime(2022, 1, 1, 15, 0, 0),
datetime.datetime(2022, 1, 2, 8, 0, 0),
datetime.datetime(2022, 1, 2, 10, 0, 0)
]
closest_timestamps = combine_closest_timestamps(timestamps)
print(closest_timestamps)
上述代码将输出最接近的日期时间戳列表,例如 [datetime.datetime(2022, 1, 1, 12, 0), datetime.datetime(2022, 1, 1, 15, 0)]
。
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