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')]

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)

我知道这个问题已经有人回答了，但为了历史的目的，我还是把我的答案写下来，因为我认为这是直截了当的。

import numpy as np
import datetime as dt
listOfDates=[date for date in np.arange(firstDate,lastDate,dt.timedelta(days=x))]

当然，它不会像代码高尔夫那样赢得任何东西，但我认为它很优雅。

Matplotlib相关

from matplotlib.dates import drange
import datetime

base = datetime.date.today()
end  = base + datetime.timedelta(days=100)
delta = datetime.timedelta(days=1)
l = drange(base, end, delta)

是的，重新发明轮子.... 只要搜索论坛，你就会得到这样的东西:

from dateutil import rrule
from datetime import datetime

list(rrule.rrule(rrule.DAILY,count=100,dtstart=datetime.now()))

以下是我从自己的代码中创建的要点，这可能会有所帮助。(我知道这个问题太老了，但其他人可以用)

https://gist.github.com/2287345

(下同)

import datetime
from time import mktime

def convert_date_to_datetime(date_object):
    date_tuple = date_object.timetuple()
    date_timestamp = mktime(date_tuple)
    return datetime.datetime.fromtimestamp(date_timestamp)

def date_range(how_many=7):
    for x in range(0, how_many):
        some_date = datetime.datetime.today() - datetime.timedelta(days=x)
        some_datetime = convert_date_to_datetime(some_date.date())
        yield some_datetime

def pick_two_dates(how_many=7):
    a = b = convert_date_to_datetime(datetime.datetime.now().date())
    for each_date in date_range(how_many):
        b = a
        a = each_date
        if a == b:
            continue
        yield b, a