将从下面的查询中获得的90� datetime.datetime
个元组的元组转换为自午夜以来的秒数元组的最佳方法是什么?
e.g。 2014-06-13 10:33:20应该变成38000(10 * 3600 + 33 * 60 + 20)
query = """
SELECT timestamp, value
FROM measurements
WHERE timestamp BETWEEN %s AND %s AND sensor = %s
"""
cursor.execute(query, (start, stop, sensor))
row = cursor.fetchall()
timestamp, value=zip(*row)
答案 0 :(得分:3)
创建一个转换为秒的函数,然后使用list comprehension。
from datetime import datetime, timedelta
import random
# Generate some random datetime objects.
d = [datetime.today() + timedelta(seconds=i*600) for i in range(10)]
def dt_to_seconds(dt):
return 3600*dt.hour + 60*dt.minute + dt.second
s = tuple([dt_to_seconds(i) for i in d])
print(s)
# (35545, 36145, 36745, 37345, 37945, 38545, 39145, 39745, 40345, 40945)
答案 1 :(得分:0)
考虑z包含您的时间值列表,然后map()
z=["10:33:20","4:50:22"]
print map(lambda x:int(x.split(':')[0])*3600+int(x.split(':')[1])*60+int(x.split(':')[2]),z)
#output[38000, 17422]
答案 2 :(得分:0)
您可能希望以秒开始选择值:
query = """
SELECT TIMESTAMPDIFF(SECOND,DATE(timestamp),timestamp), value
FROM measurements
WHERE timestamp BETWEEN %s AND %s AND sensor = %s
"""
TIMESTAMPDIFF就在那里,所以你只能在几秒钟而不是整个日期获得时间部分。
答案 3 :(得分:0)
试试这个
SELECT TIME_TO_SEC(DATE_FORMAT(your_date,'%H:%i:%s')) AS SECOND
FROM TABLE_NAME