from datetime import datetime
def calculate_whole_week(year, start_month, end_month, weekday):
date_str_start = str(year)+' ' + start_month+' '+ weekday
date_str_end = str(year)+' ' + end_month+' '+ weekday
start_day = datetime.strptime(date_str_start, '%Y %B %A')
end_day = datetime.strptime(date_str_end, '%Y %B %A')
no_of_whole_weeks = (end_day - start_day).days//7 -1
return no_of_whole_weeks
calculate_whole_week(2014,'April','May','Wednesday')
我尝试了以下但我无法编译它
start_week_day = time.strptime(str(Y)+' '+ A + ' '+ W,"%Y %B %A").tm_wday
end_week_day = time.strptime(str(Y)+' '+ B + ' '+ W,"%Y %B %A").tm_wday
start_dt = time.strptime(str(Y)+' '+A+' '+ str(start_week_day),'%Y %B %d')
end_dt = time.strptime(str(Y)+' '+ B +' '+ str(end_week_day),'%Y %B %d')
no_of_whole_weeks = (end_dt - start_dt).days//7 -1
print (end_dt - start_dt).days
return no_of_whole_weeks
我在这里面临的挑战是如何计算我通过的工作日的确切日期
如果我运行上面的代码,我会得到3而不是7
答案 0 :(得分:2)
为什么不将问题分解成更小的块,并分别处理每个问题?例如:
鉴于两个date
或datetime
个对象,请确定它们之间的整周数:
def whole_weeks(start, end):
"""Number of whole weeks between start and end dates."""
weeks = 0
while start <= end:
start += datetime.timedelta(weeks=1)
weeks += 1
return weeks - 1
给定年份,月份名称和工作日名称,计算与之匹配的第一个日期:
def first_matching_date(year, month_name, weekday_name):
"""The first date a weekday occurred in a given month and year."""
day = datetime.datetime.strptime(str(year) + month_name, '%Y%B')
for _ in range(7):
if day.strftime('%A') == weekday_name:
return day
day += datetime.timedelta(days=1)
raise ValueError('no matching date for {!r}'.format(weekday_name))
因此,给定一年,两个月和一个工作日,找出每个工作日第一次出现的整周数:
def calculate_whole_week(year, start_month, end_month, weekday_name):
"""Whole weeks between the weekday in specified start and end month."""
return whole_weeks(
first_matching_date(year, start_month, weekday_name),
first_matching_date(year, end_month, weekday_name),
)
这使得更容易来开发和测试每一步,从而产生更易读的代码并给我:
>>> calculate_whole_week(2014, 'April', 'May', 'Wednesday')
5
这确实是2014年4月第一个星期三(2014/4/2)和2014年5月第一个星期三(2014/5/7)之间的整周数;我不确定你为什么期待7
。我可能误解了具体问题,但希望您可以将进程分解并将其应用到您的实际任务中。