获取指定的开始日期和结束日期之间的日期范围(优化的时间和空间复杂性):

import datetime

start = datetime.datetime.strptime("21-06-2014", "%d-%m-%Y")
end = datetime.datetime.strptime("07-07-2014", "%d-%m-%Y")
date_generated = [start + datetime.timedelta(days=x) for x in range(0, (end-start).days)]

for date in date_generated:
    print date.strftime("%d-%m-%Y")

根据我自己的回答:

import datetime;
print [(datetime.date.today() - datetime.timedelta(days=x)).strftime('%Y-%m-%d') for x in range(-5, 0)]

输出:

['2017-12-11', '2017-12-10', '2017-12-09', '2017-12-08', '2017-12-07']

区别在于我得到的是'date'对象，而不是'datetime '对象。datetime”。

稍微更好……

base = datetime.datetime.today()
date_list = [base - datetime.timedelta(days=x) for x in range(numdays)]

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。

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)

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)