我是python的新手。我正在尝试生成时间间隔数组。例如:
time_array =
["2016-09-02T17:30:00Z", "2016-09-02T17:45:00Z", "2016-09-02T18:00:00Z", "2016-09-02T18:15:00Z", "2016-09-02T18:30:00Z", "2016-09-02T18:45:00Z"]
它应该在祖鲁时间创造如上所述的元素,直到每天晚上9点。
2.也应该为下一天和下一天生成元素
3.开始时间从上午7点开始 - 编辑时间晚上9点,
如果current_time是> start_time然后生成15分钟的时间间隔阵列,直到晚上9点。然后为第二天和第二天生成。
间隔时间应该是7:00,7:15 ..不是在7:12,8:32
答案 0 :(得分:12)
这里是您使用的通用datetime_range
。
from datetime import datetime, timedelta
def datetime_range(start, end, delta):
current = start
while current < end:
yield current
current += delta
dts = [dt.strftime('%Y-%m-%d T%H:%M Z') for dt in
datetime_range(datetime(2016, 9, 1, 7), datetime(2016, 9, 1, 9+12),
timedelta(minutes=15))]
print(dts)
[&#39; 2016-09-01 T07:00 Z&#39;,&#39; 2016-09-01 T07:15 Z&#39;,&#39; 2016-09-01 T07:30 Z&#39;,&#39; 2016-09-01 T07:45 Z&#39;,&#39; 2016-09-01 T08:00 Z&#39;,&#39; 2016-09-01 T08: 15 Z&#39;,&#39; 2016-09-01 T08:30 Z&#39;,&#39; 2016-09-01 T08:45 Z&#39;,&#39; 2016-09-01 T09 :00 Z&#39;,&#39; 2016-09-01 T09:15 Z&#39;,&#39; 2016-09-01 T09:30 Z&#39;,&#39; 2016-09-01 T09:45 Z&#39; ......]
答案 1 :(得分:6)
查看数据文件,您应该使用内置的python日期时间对象。然后strftime
格式化您的日期。
从广义上讲,您可以将下面的代码修改为您想要的许多日期时间 首先创建一个开始日期。
Today= datetime.datetime.today()
用您想要的任意数量的时间间隔替换100。
date_list = [Today + datetime.timedelta(minutes=15*x) for x in range(0, 100)]
最后,使用下面的代码以您希望的方式格式化列表。
datetext=[x.strftime('%Y-%m-%d T%H:%M Z') for x in date_list]
答案 2 :(得分:3)
以下是Pandas解决方案:
import pandas as pd
l = (pd.DataFrame(columns=['NULL'],
index=pd.date_range('2016-09-02T17:30:00Z', '2016-09-04T21:00:00Z',
freq='15T'))
.between_time('07:00','21:00')
.index.strftime('%Y-%m-%dT%H:%M:%SZ')
.tolist()
)
输出:
In [165]: l
Out[165]:
['2016-09-02T17:30:00Z',
'2016-09-02T17:45:00Z',
'2016-09-02T18:00:00Z',
'2016-09-02T18:15:00Z',
'2016-09-02T18:30:00Z',
'2016-09-02T18:45:00Z',
'2016-09-02T19:00:00Z',
'2016-09-02T19:15:00Z',
'2016-09-02T19:30:00Z',
'2016-09-02T19:45:00Z',
'2016-09-02T20:00:00Z',
'2016-09-02T20:15:00Z',
'2016-09-02T20:30:00Z',
'2016-09-02T20:45:00Z',
'2016-09-02T21:00:00Z',
'2016-09-03T07:00:00Z',
'2016-09-03T07:15:00Z',
'2016-09-03T07:30:00Z',
'2016-09-03T07:45:00Z',
'2016-09-03T08:00:00Z',
'2016-09-03T08:15:00Z',
'2016-09-03T08:30:00Z',
'2016-09-03T08:45:00Z',
'2016-09-03T09:00:00Z',
'2016-09-03T09:15:00Z',
'2016-09-03T09:30:00Z',
'2016-09-03T09:45:00Z',
'2016-09-03T10:00:00Z',
'2016-09-03T10:15:00Z',
'2016-09-03T10:30:00Z',
'2016-09-03T10:45:00Z',
'2016-09-03T11:00:00Z',
'2016-09-03T11:15:00Z',
'2016-09-03T11:30:00Z',
'2016-09-03T11:45:00Z',
'2016-09-03T12:00:00Z',
'2016-09-03T12:15:00Z',
'2016-09-03T12:30:00Z',
'2016-09-03T12:45:00Z',
'2016-09-03T13:00:00Z',
'2016-09-03T13:15:00Z',
'2016-09-03T13:30:00Z',
'2016-09-03T13:45:00Z',
'2016-09-03T14:00:00Z',
'2016-09-03T14:15:00Z',
'2016-09-03T14:30:00Z',
'2016-09-03T14:45:00Z',
'2016-09-03T15:00:00Z',
'2016-09-03T15:15:00Z',
'2016-09-03T15:30:00Z',
'2016-09-03T15:45:00Z',
'2016-09-03T16:00:00Z',
'2016-09-03T16:15:00Z',
'2016-09-03T16:30:00Z',
'2016-09-03T16:45:00Z',
'2016-09-03T17:00:00Z',
'2016-09-03T17:15:00Z',
'2016-09-03T17:30:00Z',
'2016-09-03T17:45:00Z',
'2016-09-03T18:00:00Z',
'2016-09-03T18:15:00Z',
'2016-09-03T18:30:00Z',
'2016-09-03T18:45:00Z',
'2016-09-03T19:00:00Z',
'2016-09-03T19:15:00Z',
'2016-09-03T19:30:00Z',
'2016-09-03T19:45:00Z',
'2016-09-03T20:00:00Z',
'2016-09-03T20:15:00Z',
'2016-09-03T20:30:00Z',
'2016-09-03T20:45:00Z',
'2016-09-03T21:00:00Z',
'2016-09-04T07:00:00Z',
'2016-09-04T07:15:00Z',
'2016-09-04T07:30:00Z',
'2016-09-04T07:45:00Z',
'2016-09-04T08:00:00Z',
'2016-09-04T08:15:00Z',
'2016-09-04T08:30:00Z',
'2016-09-04T08:45:00Z',
'2016-09-04T09:00:00Z',
'2016-09-04T09:15:00Z',
'2016-09-04T09:30:00Z',
'2016-09-04T09:45:00Z',
'2016-09-04T10:00:00Z',
'2016-09-04T10:15:00Z',
'2016-09-04T10:30:00Z',
'2016-09-04T10:45:00Z',
'2016-09-04T11:00:00Z',
'2016-09-04T11:15:00Z',
'2016-09-04T11:30:00Z',
'2016-09-04T11:45:00Z',
'2016-09-04T12:00:00Z',
'2016-09-04T12:15:00Z',
'2016-09-04T12:30:00Z',
'2016-09-04T12:45:00Z',
'2016-09-04T13:00:00Z',
'2016-09-04T13:15:00Z',
'2016-09-04T13:30:00Z',
'2016-09-04T13:45:00Z',
'2016-09-04T14:00:00Z',
'2016-09-04T14:15:00Z',
'2016-09-04T14:30:00Z',
'2016-09-04T14:45:00Z',
'2016-09-04T15:00:00Z',
'2016-09-04T15:15:00Z',
'2016-09-04T15:30:00Z',
'2016-09-04T15:45:00Z',
'2016-09-04T16:00:00Z',
'2016-09-04T16:15:00Z',
'2016-09-04T16:30:00Z',
'2016-09-04T16:45:00Z',
'2016-09-04T17:00:00Z',
'2016-09-04T17:15:00Z',
'2016-09-04T17:30:00Z',
'2016-09-04T17:45:00Z',
'2016-09-04T18:00:00Z',
'2016-09-04T18:15:00Z',
'2016-09-04T18:30:00Z',
'2016-09-04T18:45:00Z',
'2016-09-04T19:00:00Z',
'2016-09-04T19:15:00Z',
'2016-09-04T19:30:00Z',
'2016-09-04T19:45:00Z',
'2016-09-04T20:00:00Z',
'2016-09-04T20:15:00Z',
'2016-09-04T20:30:00Z',
'2016-09-04T20:45:00Z',
'2016-09-04T21:00:00Z']
答案 3 :(得分:2)
我将提供不处理时区的解决方案,因为问题是生成日期和时间,您可以随后设置时区。
您有一个开始日期,开始和结束时间(每天),以及这些日期时间的间隔(以分钟为单位)。我们的想法是创建一个代表时间间隔的timedelta
对象并重复更新日期时间,直到我们到达结束时间,然后我们提前一天并将时间重置为初始时间并重复。
一个简单的实现可能是:
def make_dates(start_date, number_of_days, start_time, end_time, interval, timezone):
if isinstance(start_date, datetime.datetime):
start_date = start_date.date()
start_date = datetime.datetime.combine(start_date, start_time)
cur_date = start_date
num_days_passed = 0
step = datetime.timedelta(seconds=interval*60)
while True:
new_date = cur_date + step
if new_date.time() > end_time:
num_days_passed += 1
if num_days_passed > number_of_days:
break
new_date = start_date + datetime.timedelta(days=num_days_passed)
ret_date, cur_date = cur_date, new_date
yield ret_date
In [31]: generator = make_dates(datetime.datetime.now(), 3, datetime.time(hour=17), datetime.time(hour=19), 15, None)
In [32]: next(generator)
Out[32]: datetime.datetime(2016, 9, 2, 17, 0)
In [33]: next(generator)
Out[33]: datetime.datetime(2016, 9, 2, 17, 15)
In [34]: list(generator)
Out[34]:
[datetime.datetime(2016, 9, 2, 17, 30),
datetime.datetime(2016, 9, 2, 17, 45),
datetime.datetime(2016, 9, 2, 18, 0),
datetime.datetime(2016, 9, 2, 18, 15),
datetime.datetime(2016, 9, 2, 18, 30),
datetime.datetime(2016, 9, 2, 18, 45),
datetime.datetime(2016, 9, 2, 19, 0),
datetime.datetime(2016, 9, 3, 17, 0),
datetime.datetime(2016, 9, 3, 17, 15),
datetime.datetime(2016, 9, 3, 17, 30),
datetime.datetime(2016, 9, 3, 17, 45),
datetime.datetime(2016, 9, 3, 18, 0),
datetime.datetime(2016, 9, 3, 18, 15),
datetime.datetime(2016, 9, 3, 18, 30),
datetime.datetime(2016, 9, 3, 18, 45),
datetime.datetime(2016, 9, 3, 19, 0),
datetime.datetime(2016, 9, 4, 17, 0),
datetime.datetime(2016, 9, 4, 17, 15),
datetime.datetime(2016, 9, 4, 17, 30),
datetime.datetime(2016, 9, 4, 17, 45),
datetime.datetime(2016, 9, 4, 18, 0),
datetime.datetime(2016, 9, 4, 18, 15),
datetime.datetime(2016, 9, 4, 18, 30),
datetime.datetime(2016, 9, 4, 18, 45),
datetime.datetime(2016, 9, 4, 19, 0),
datetime.datetime(2016, 9, 5, 17, 0),
datetime.datetime(2016, 9, 5, 17, 15),
datetime.datetime(2016, 9, 5, 17, 30),
datetime.datetime(2016, 9, 5, 17, 45),
datetime.datetime(2016, 9, 5, 18, 0),
datetime.datetime(2016, 9, 5, 18, 15),
datetime.datetime(2016, 9, 5, 18, 30),
datetime.datetime(2016, 9, 5, 18, 45)]
获得日期时间后,您可以使用strftime
方法将其转换为字符串。
答案 4 :(得分:2)
以下是使用任意日期时间的示例
from datetime import datetime
start = datetime(1900,1,1,0,0,0)
end = datetime(1900,1,2,0,0,0)
现在您需要获取start
和end
seconds = (end - start).total_seconds()
定义15分钟间隔
from datetime import timedelta
step = timedelta(minutes=15)
迭代秒数范围,时间差为15分钟(900秒)并将其加总为start
。
array = []
for i in range(0, int(seconds), int(step.total_seconds())):
array.append(start + timedelta(seconds=i))
print array
[datetime.datetime(1900, 1, 1, 0, 0),
datetime.datetime(1900, 1, 1, 0, 15),
datetime.datetime(1900, 1, 1, 0, 30),
datetime.datetime(1900, 1, 1, 0, 45),
datetime.datetime(1900, 1, 1, 1, 0),
...
最后,您可以将datetime对象格式化为str表示。
array = [i.strftime('%Y-%m-%d %H:%M%:%S') for i in array]
print array
['1900-01-01 00:00:00',
'1900-01-01 00:15:00',
'1900-01-01 00:30:00',
'1900-01-01 00:45:00',
'1900-01-01 01:00:00',
...
您可以在第一次迭代时格式化datetime对象。但它可能会伤害你的眼睛
array.append((start + timedelta(seconds=i)).strftime('%Y-%m-%d %H:%M%:%S'))
答案 5 :(得分:0)
这是我根据我的问题上发布的答案编写的最终剧本:
from datetime import datetime
from datetime import timedelta
import calendar
current_utc = datetime.utcnow().strftime("%Y-%m-%d-%H-%M-%S")
current_year = int(current_utc.split("-")[0])
current_month = int(current_utc.split("-")[1])
current_date = int(current_utc.split("-")[2])
current_hour = int(current_utc.split("-")[3])
current_min = int(current_utc.split("-")[4])
current_sec = int(current_utc.split("-")[5])
#### To make minutes round to quarter ####
min_range_1 = range(1,16)
min_range_2 = range(16,31)
min_range_3 = range(31,46)
min_range_4 = range(46,60)
if current_min in min_range_1:
current_min = 15
elif current_min in min_range_2:
current_min = 30
elif current_min in min_range_3:
current_min = 45
elif current_min in min_range_4:
current_hour = current_hour + 1
current_min = 0
else:
print("Please check current minute.")
current_sec = 00
date_range_31 = range(1,32)
date_range_30 = range(1,31)
month_days_31 = [1,3,5,7,8,10,12]
month_days_30 = [4,6,9,11]
if current_month in month_days_31:
if current_date == 31:
next_day_month = current_month + 1
next_day_date = 1
else:
next_day_month = current_month
next_day_date = current_date
elif current_month == 2:
if calendar.isleap(current_year):
if current_date == 29:
next_day_month = current_month + 1
next_day_date = 1
else:
next_day_month = current_month
next_day_date = current_date
else:
if current_date == 28:
next_day_month = current_month + 1
next_day_date = 1
else:
next_day_month = current_month
next_day_date = current_date
elif current_month in month_days_30:
if current_date == 30:
next_day_month = current_month + 1
next_day_date = 1
else:
next_day_month = current_month
next_day_date = current_date
else:
print("Please check the current month and date to procedd further.")
if current_hour < 11:
current_hour = 11
current_min = 15
next_day_date = current_date + 1
current_start = datetime(current_year,current_month,current_date,current_hour,current_min,current_sec)
current_end = datetime(current_year,current_month,current_date,21,15,0)
next_day_start = datetime(current_year,next_day_month,next_day_date,11,15,0)
next_day_end = datetime(current_year,next_day_month,next_day_date,21,15,0)
current_seconds = (current_end - current_start).total_seconds()
next_day_seconds = (next_day_end - next_day_start).total_seconds()
step = timedelta(minutes=15)
current_day_array = []
next_day_array = []
for i in range(0, int(current_seconds), int(step.total_seconds())):
current_day_array.append(current_start + timedelta(seconds=i))
for i in range(0, int(next_day_seconds), int(step.total_seconds())):
current_day_array.append(next_day_start + timedelta(seconds=i))
current_day_array = [i.strftime('%Y-%m-%dT%H:%M%:%SZ') for i in current_day_array]
print current_day_array
产生以下输出:
['2016-09-03T11:15:00Z', '2016-09-03T11:30:00Z', '2016-09-03T11:45:00Z', '2016-09-03T12:00:00Z', '2016-09-03T12:15:00Z', '2016-09-03T12:30:00Z', '2016-09-03T12:45:00Z', '2016-09-03T13:00:00Z', '2016-09-03T13:15:00Z', '2016-09-03T13:30:00Z', '2016-09-03T13:45:00Z', '2016-09-03T14:00:00Z', '2016-09-03T14:15:00Z', '2016-09-03T14:30:00Z', '2016-09-03T14:45:00Z', '2016-09-03T15:00:00Z', '2016-09-03T15:15:00Z', '2016-09-03T15:30:00Z', '2016-09-03T15:45:00Z', '2016-09-03T16:00:00Z', '2016-09-03T16:15:00Z', '2016-09-03T16:30:00Z', '2016-09-03T16:45:00Z', '2016-09-03T17:00:00Z', '2016-09-03T17:15:00Z', '2016-09-03T17:30:00Z', '2016-09-03T17:45:00Z', '2016-09-03T18:00:00Z', '2016-09-03T18:15:00Z', '2016-09-03T18:30:00Z', '2016-09-03T18:45:00Z', '2016-09-03T19:00:00Z', '2016-09-03T19:15:00Z', '2016-09-03T19:30:00Z', '2016-09-03T19:45:00Z', '2016-09-03T20:00:00Z', '2016-09-03T20:15:00Z', '2016-09-03T20:30:00Z', '2016-09-03T20:45:00Z', '2016-09-03T21:00:00Z', '2016-09-04T11:15:00Z', '2016-09-04T11:30:00Z', '2016-09-04T11:45:00Z', '2016-09-04T12:00:00Z', '2016-09-04T12:15:00Z', '2016-09-04T12:30:00Z', '2016-09-04T12:45:00Z', '2016-09-04T13:00:00Z', '2016-09-04T13:15:00Z', '2016-09-04T13:30:00Z', '2016-09-04T13:45:00Z', '2016-09-04T14:00:00Z', '2016-09-04T14:15:00Z', '2016-09-04T14:30:00Z', '2016-09-04T14:45:00Z', '2016-09-04T15:00:00Z', '2016-09-04T15:15:00Z', '2016-09-04T15:30:00Z', '2016-09-04T15:45:00Z', '2016-09-04T16:00:00Z', '2016-09-04T16:15:00Z', '2016-09-04T16:30:00Z', '2016-09-04T16:45:00Z', '2016-09-04T17:00:00Z', '2016-09-04T17:15:00Z', '2016-09-04T17:30:00Z', '2016-09-04T17:45:00Z', '2016-09-04T18:00:00Z', '2016-09-04T18:15:00Z', '2016-09-04T18:30:00Z', '2016-09-04T18:45:00Z', '2016-09-04T19:00:00Z', '2016-09-04T19:15:00Z', '2016-09-04T19:30:00Z', '2016-09-04T19:45:00Z', '2016-09-04T20:00:00Z', '2016-09-04T20:15:00Z', '2016-09-04T20:30:00Z', '2016-09-04T20:45:00Z', '2016-09-04T21:00:00Z']