我想创建一个日期列表,从今天开始,追溯到任意天数,例如,在我的示例中是100天。还有比这更好的办法吗?

import datetime

a = datetime.datetime.today()
numdays = 100
dateList = []
for x in range (0, numdays):
    dateList.append(a - datetime.timedelta(days = x))
print dateList

当前回答

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)

其他回答

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()

一个带有datetime和dateutil的月日期范围生成器。简单易懂的:

import datetime as dt
from dateutil.relativedelta import relativedelta

def month_range(start_date, n_months):
        for m in range(n_months):
            yield start_date + relativedelta(months=+m)

下面是bash脚本获得工作日列表的一行代码,这是python 3。很容易修改为任何东西,末尾的int是你想要的过去的天数。

python -c "import sys,datetime; print('\n'.join([(datetime.datetime.today() - datetime.timedelta(days=x)).strftime(\"%Y/%m/%d\") for x in range(0,int(sys.argv[1])) if (datetime.datetime.today() - datetime.timedelta(days=x)).isoweekday()<6]))" 10

这里是提供开始(或者确切地说,结束)日期的变体

python -c "import sys,datetime; print('\n'.join([(datetime.datetime.strptime(sys.argv[1],\"%Y/%m/%d\") - datetime.timedelta(days=x)).strftime(\"%Y/%m/%d \") for x in range(0,int(sys.argv[2])) if (datetime.datetime.today() - datetime.timedelta(days=x)).isoweekday()<6]))" 2015/12/30 10

这里是任意开始和结束日期的变体。并不是说这不是非常有效,而是在bash脚本中放入for循环很好:

python -c "import sys,datetime; print('\n'.join([(datetime.datetime.strptime(sys.argv[1],\"%Y/%m/%d\") + datetime.timedelta(days=x)).strftime(\"%Y/%m/%d\") for x in range(0,int((datetime.datetime.strptime(sys.argv[2], \"%Y/%m/%d\") - datetime.datetime.strptime(sys.argv[1], \"%Y/%m/%d\")).days)) if (datetime.datetime.strptime(sys.argv[1], \"%Y/%m/%d\") + datetime.timedelta(days=x)).isoweekday()<6]))" 2015/12/15 2015/12/30

稍微更好……

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