days=calendar.monthrange(year,mon)[1]mon=addzero(mon)arr=(year,mon,days)return"-".join("%s"%iforiinarr)defget_firstday_month(n=0):'''getthe first dayofmonth from today n is how many months'''(y,m,d)=getyearandmonth(n)d="01"arr=(y,m,d)return"-".join("%s"%iforiinarr)de...
27 def is_leap_year(year): 28 if year % 4 == 0 and year % 100 != 0 or year % 400 == 0: 29 return True 30 else: 31 return False 32 33 def get_num_of_days_in_month(year, month): 34 if month in (1, 3, 5, 7, 8, 10, 12): 35 return 31 36 elif month in (4,...
year, month= str(date).split('-')[0], str(date).split('-')[1] end= calendar.monthrange(int(year), int(month))[1] start_date='%s-%s-01'%(year, month) end_date='%s-%s-%s'%(year, month, end)returnstart_date, end_dateprint(get_current_month_start_and_end('2019-11-28'))...
python代码实现“今天是今年的第几天”**#代码如下:list_day_runnian=[0,31,29,31,30,31,30,31,31,30,31,30,31]year=int(input(‘输入年份:’))month=int(input(‘输入月份:’))day=int(input(‘输入日期:’))if1=month=12:if(year%400==0)or((year%4==0)and(year%100!=0)):pastmo 继...
lunar_year=int(year) lunar_month=int(month) lunar_day=int(day) lunar_isLeapMonth=bool(isLeapMonth) self.year=year self.month=month self.day=day self.isLeapMonth=bool(isLeapMonth)def__str__(self):return'LunarDate(%d, %d, %d, %d)'%(self.year, self.month, self.day, self.isLeapMonth)...
firstDay=date(year,month,day=1)# 获取当前月份最后一天 lastDay=date(year,month,day=monthCountDay)# 返回第一天和最后一天returnfirstDay,lastDay defget_past_month_first_and_last_day():ifdate.today().month==1:lastMonthFirstDay=date(date.today().year-1,12,1)else:lastMonthFirstDay=date(date...
df["year"] = df["date"].dt.year df["month"] = df["date"].dt.month df["day"] = df["date"].dt.day df["calendar"] = df["date"].dt.date df["hour"] = df["date"].dt.time df.head() """ date value year month day calendar hour ...
replace([year[, month[, day[, hour[, minute[, second[, microsecond[, tzinfo]]]): timetuple() utctimetuple() toordinal() weekday() isocalendar() isoformat([sep]) ctime():返回一个日期时间的C格式字符串,等效于ctime(time.mktime(dt.timetuple())); strftime(...
max_temp_df = pd.read_csv("data/Newcastle_Australia_Max_Temps.csv",parse_dates={"Timestamp": ["Year", "Month", "Day"]},)min_temp_df = pd.read_csv("data/Newcastle_Australia_Min_Temps.csv",parse_dates={"Timestamp": ["Year", "Month", "Day"]},) ...
3)- 将数据作存储并且设置前三列(Year, Month, Day)为合适的索引Date 4)- 2034、2065年?我们真的有这一年的数据?创建一个函数并用它去修复这个bug 5)- 将日期(Date)设为索引,注意数据类型,应该是datetime64 6)- 对应每一个DewPointAvgF,一共有多少数据值缺失 7)- 对应每一个DewPointAvgF,一共有多少...