Python两个月之间的开始日期和结束日期

如何解决Python两个月之间的开始日期和结束日期

我需要每个月的开始和结束日期在两个日期之间。目前，我会在需要时手动创建列表。

start = 2019-10-01
end = today

预期输出：

start_times = ['10/1/2019 05:00:00 AM','11/1/2019 05:00:00 AM','12/1/2019 05:00:00 AM','1/1/2020 05:00:00 AM','2/1/2020 05:00:00 AM','3/1/2020 05:00:00 AM'+'4/1/2020 05:00:00 AM','5/1/2020 05:00:00 AM','6/1/2020 05:00:00 AM','7/1/2020 05:00:00 AM','8/1/2020 05:00:00 AM']
end_times = ['10/31/2019 08:00:00 PM','11/30/2019 08:00:00 PM','12/31/2019 08:00:00 PM','1/31/2020 08:00:00 PM','2/29/2020 08:00:00 PM','3/31/2020 08:00:00 PM','4/30/2020 08:00:00 PM','5/31/2020 08:00:00 PM','6/30/2020 08:00:00 PM','7/31/2020 08:00:00 PM','8/31/2020 08:00:00 PM']

关于如何在此处进行操作的任何想法。

解决方法

最后一天是下个月的第一天减去1。

from datetime import datetime
from datetime import timedelta

start = datetime(year = 2020,month = 5,day = 16)

start_times = datetime(year = start.year,month = start.month,day = 1)

if start.month == 12:
    end_times = datetime(year = start.year + 1,month = 1,day = 1) - timedelta(days = 1)
else:
    end_times = datetime(year = start.year,month = start.month + 1,day = 1) - timedelta(days = 1)
    
print(start_times)
print(end_times)

输出：

2020-05-01 00:00:00
2020-05-31 00:00:00

,

因为您需要一个日期范围和特定的格式，所以我建议使用numpy进行日期范围的创建和计算，然后使用python datetime进行以下格式设置：

import numpy as np
import datetime as dt

def dateRange(start='2019-10-01',end='2020-08-28'):
    
    start_date = np.datetime64(start[:-3])  
    #Add one month to end date so last month is included
    end_date = np.datetime64(end[:-3]) + np.timedelta64(1,'M')
    #Create Date Range
    date_range = np.arange(start_date,end_date,dtype='datetime64[M]')
    #Add 5 AM to start_dates
    start_dates = date_range + np.timedelta64(5,'h')
    #Add 1 Month and subrtract 4 hours to 8 PM on last day of month
    end_dates = date_range + np.timedelta64(1,'M') - np.timedelta64(4,'h')
    #Apply Formatting   
    final_start_dates = [parse_date(np.datetime_as_string(d,unit='s')) for d in start_dates]
    final_end_dates = [parse_date(np.datetime_as_string(d,unit='s')) for d in end_dates]
    
    return final_start_dates,final_end_dates

def parse_date(date_string):
    #parse numpy date string
    date_time = date_string.split('T')
    date_parts = date_time[0].split('-')
    time_parts = date_time[1][:-1].split(':')
    #convert string values to ints
    datetime_ints = [int(d) for d in date_parts] + [int(time_parts[0])]
    
    #apply formatting
    return dt.datetime(*datetime_ints).strftime('%m/%d/%Y %I:%M:%S %p')

输出：

>>> start,end=dateRange()
>>> start
['10/01/2019 05:00:00 AM','11/01/2019 05:00:00 AM','12/01/2019 05:00:00 AM','01/01/2020 05:00:00 AM','02/01/2020 05:00:00 AM','03/01/2020 05:00:00 AM','04/01/2020 05:00:00 AM','05/01/2020 05:00:00 AM','06/01/2020 05:00:00 AM','07/01/2020 05:00:00 AM','08/01/2020 05:00:00 AM']
>>> end
['10/31/2019 08:00:00 PM','11/30/2019 08:00:00 PM','12/31/2019 08:00:00 PM','01/31/2020 08:00:00 PM','02/29/2020 08:00:00 PM','03/31/2020 08:00:00 PM','04/30/2020 08:00:00 PM','05/31/2020 08:00:00 PM','06/30/2020 08:00:00 PM','07/31/2020 08:00:00 PM','08/31/2020 08:00:00 PM']

我想这就是您每天在生产时遇到的问题。实际上更容易。

def all_dates(start='2019-10-01',end='2019-10-15'):
    
    start_date = np.datetime64(start)   
    #Add one day to end date so last say is included
    end_date = np.datetime64(end) + np.timedelta64(1,'D')
    #Create Date Range
    date_range = np.arange(start_date,dtype='datetime64[D]')
    
    final_start_dates = [parse_date(np.datetime_as_string(d + np.timedelta64(5,'h'),unit='s')) for d in date_range]
    
    final_end_dates = [parse_date(np.datetime_as_string(d + np.timedelta64(20,unit='s')) for d in date_range]
    
    return final_start_dates,final_end_dates

输出：

>>> start,end = all_dates()
>>> start
['10/1/2019 05:00:00 AM','10/2/2019 05:00:00 AM','10/3/2019 05:00:00 AM','10/4/2019 05:00:00 AM','10/5/2019 05:00:00 AM','10/6/2019 05:00:00 AM','10/7/2019 05:00:00 AM','10/8/2019 05:00:00 AM','10/9/2019 05:00:00 AM','10/10/2019 05:00:00 AM','10/11/2019 05:00:00 AM','10/12/2019 05:00:00 AM','10/13/2019 05:00:00 AM','10/14/2019 05:00:00 AM','10/15/2019 05:00:00 AM']
>>> end
['10/1/2019 08:00:00 PM','10/2/2019 08:00:00 PM','10/3/2019 08:00:00 PM','10/4/2019 08:00:00 PM','10/5/2019 08:00:00 PM','10/6/2019 08:00:00 PM','10/7/2019 08:00:00 PM','10/8/2019 08:00:00 PM','10/9/2019 08:00:00 PM','10/10/2019 08:00:00 PM','10/11/2019 08:00:00 PM','10/12/2019 08:00:00 PM','10/13/2019 08:00:00 PM','10/14/2019 08:00:00 PM','10/15/2019 08:00:00 PM']