from datetime import datetime, timedelta
from dateutil import parser
def getDateRange(begin, end):
    """  """
    beginDate = parser.parse(begin)
    endDate =  parser.parse(end)
    delta = endDate-beginDate
    numdays = delta.days + 1
    dayList = [datetime.strftime(beginDate + timedelta(days=x), '%Y%m%d') for x in range(0, numdays)]
    return dayList

from datetime import datetime , timedelta, timezone


start_date = '2022_01_25'
end_date = '2022_01_30'

start = datetime.strptime(start_date, "%Y_%m_%d")
print(type(start))
end =  datetime.strptime(end_date, "%Y_%m_%d")
##pDate = str(pDate).replace('-', '_')
number_of_days = (end - start).days

print("number_of_days: ", number_of_days)

##
date_list = []
for day in range(number_of_days):
    a_date = (start + timedelta(days = day)).astimezone(timezone.utc)
    a_date = a_date.strftime('%Y-%m-%d')
    date_list.append(a_date)

print(date_list)

从上面的答案，我创建了这个例子的日期生成器

import datetime
date = datetime.datetime.now()
time = date.time()
def date_generator(date, delta):
  counter =0
  date = date - datetime.timedelta(days=delta)
  while counter <= delta:
    yield date
    date = date + datetime.timedelta(days=1)
    counter +=1

for date in date_generator(date, 30):
   if date.date() != datetime.datetime.now().date():
     start_date = datetime.datetime.combine(date, datetime.time())
     end_date = datetime.datetime.combine(date, datetime.time.max)
   else:
     start_date = datetime.datetime.combine(date, datetime.time())
     end_date = datetime.datetime.combine(date, time)
   print('start_date---->',start_date,'end_date---->',end_date)

一般来说，Pandas非常适合时间序列，并直接支持日期范围。

例如pd.date_range():

import pandas as pd
from datetime import datetime

datelist = pd.date_range(datetime.today(), periods=100).tolist()

它也有很多选择，让生活更轻松。例如，如果您只想要工作日，您只需交换bdate_range。

参见日期范围文档

此外，它完全支持pytz时区，可以平滑地跨越春季/秋季夏令时转换。

编辑由OP:

如果你需要实际的python日期时间，而不是Pandas时间戳:

import pandas as pd
from datetime import datetime

pd.date_range(end = datetime.today(), periods = 100).to_pydatetime().tolist()

#OR

pd.date_range(start="2018-09-09",end="2020-02-02")

这使用"end"参数来匹配原始问题，但如果你想要降序日期:

pd.date_range(datetime.today(), periods=100).to_pydatetime().tolist()

我想用一个简单(不完整)的日期范围实现来发表我的意见:

from datetime import date, timedelta, datetime

class DateRange:
    def __init__(self, start, end, step=timedelta(1)):
        self.start = start
        self.end = end
        self.step = step

    def __iter__(self):
        start = self.start
        step = self.step
        end = self.end

        n = int((end - start) / step)
        d = start

        for _ in range(n):
            yield d
            d += step

    def __contains__(self, value):
        return (
            (self.start <= value < self.end) and 
            ((value - self.start) % self.step == timedelta(0))
        )

一个泛型方法，允许在参数化窗口大小(天，分钟，小时，秒)上创建日期范围:

from datetime import datetime, timedelta

def create_date_ranges(start, end, **interval):
    start_ = start
    while start_ < end:
        end_ = start_ + timedelta(**interval)
        yield (start_, min(end_, end))
        start_ = end_

测试:

def main():
    tests = [
        ('2021-11-15:00:00:00', '2021-11-17:13:00:00', {'days': 1}),
        ('2021-11-15:00:00:00', '2021-11-16:13:00:00', {'hours': 12}),
        ('2021-11-15:00:00:00', '2021-11-15:01:45:00', {'minutes': 30}),
        ('2021-11-15:00:00:00', '2021-11-15:00:01:12', {'seconds': 30})
    ]
    for t in tests:
        print("\nInterval: %s, range(%s to %s)" % (t[2], t[0], t[1]))
        start = datetime.strptime(t[0], '%Y-%m-%d:%H:%M:%S')
        end =  datetime.strptime(t[1], '%Y-%m-%d:%H:%M:%S')
        ranges = list(create_date_ranges(start, end, **t[2]))        
        x = list(map(
            lambda x: (x[0].strftime('%Y-%m-%d:%H:%M:%S'), x[1].strftime('%Y-%m-%d:%H:%M:%S')),
            ranges
        ))
        print(x)
main()

测试输出:

Interval: {'days': 1}, range(2021-11-15:00:00:00 to 2021-11-17:13:00:00)
[('2021-11-15:00:00:00', '2021-11-16:00:00:00'), ('2021-11-16:00:00:00', '2021-11-17:00:00:00'), ('2021-11-17:00:00:00', '2021-11-17:13:00:00')]

Interval: {'hours': 12}, range(2021-11-15:00:00:00 to 2021-11-16:13:00:00)
[('2021-11-15:00:00:00', '2021-11-15:12:00:00'), ('2021-11-15:12:00:00', '2021-11-16:00:00:00'), ('2021-11-16:00:00:00', '2021-11-16:12:00:00'), ('2021-11-16:12:00:00', '2021-11-16:13:00:00')]

Interval: {'minutes': 30}, range(2021-11-15:00:00:00 to 2021-11-15:01:45:00)
[('2021-11-15:00:00:00', '2021-11-15:00:30:00'), ('2021-11-15:00:30:00', '2021-11-15:01:00:00'), ('2021-11-15:01:00:00', '2021-11-15:01:30:00'), ('2021-11-15:01:30:00', '2021-11-15:01:45:00')]

Interval: {'seconds': 30}, range(2021-11-15:00:00:00 to 2021-11-15:00:01:12)
[('2021-11-15:00:00:00', '2021-11-15:00:00:30'), ('2021-11-15:00:00:30', '2021-11-15:00:01:00'), ('2021-11-15:00:01:00', '2021-11-15:00:01:12')]