时间日期相加减,单独看没啥意思,但是比如要预测从当前时间开始,未来12个月的股票变化情况,你只拿到了股票的价格的序列值一共12个,需要把它扑到未来12个月,中间可能跨年。
安装插件
python-dateutil
pip install python-dateutil
import datetime from dateutil.relativedelta import relativedelta datetime_now = datetime.datetime.now() datetime_three_month_ago = datetime_now - relativedelta(months=3) print(datetime_three_month_ago)
代码如下(示例):
import datetime today=datetime.datetime.now() datetime1=today-datetime.timedelta(seconds=10)#减10秒 datetime2=today-datetime.timedelta(minutes=10)#减10分钟 datetime3=today-datetime.timedelta(hours=1)#减1小时 datetime4=today-datetime.timedelta(days=7)#减1天 datetime5=today-datetime.timedelta(weeks=1)#减1周 datetime6=today.strftime('%Y-%m-%d')#将时间格式化为字符串 print('today:',today) print('second:',datetime1) print('minute:',datetime2) print('hour:',datetime3) print('day:',datetime4) print('week:',datetime5) print('时间格式化为字符串:',datetime6) import dateutil.relativedelta datetime7= datetime.datetime.strptime(datetime6, '%Y-%m-%d')#将字符串格式为时间 datetime8 = datetime7 - dateutil.relativedelta.relativedelta(seconds=10)#减10秒 datetime9 = datetime7 - dateutil.relativedelta.relativedelta(minutes=10)#减10分钟 datetime10 = datetime7 - dateutil.relativedelta.relativedelta(hours=1)#减减1小时 datetime11 = datetime7 - dateutil.relativedelta.relativedelta(days=1)#减1天 datetime12 = datetime7 - dateutil.relativedelta.relativedelta(months=1)#减一个月 datetime13 = datetime7 - dateutil.relativedelta.relativedelta(years=1)#减一年 print('字符串格式为时间:',datetime7) print('second2:',datetime8) print('minute2:',datetime9) print('hour2:',datetime10) print('day2:',datetime11) print('month2:',datetime12) print('year:',datetime13)
处理未来12个月
def get_dynamic_year(i): today=datetime.datetime.now() tmp = today + dateutil.relativedelta.relativedelta(months=i) return tmp.year def get_dynamic_month(i): today=datetime.datetime.now() tmp = today + dateutil.relativedelta.relativedelta(months=i) return tmp.month pd_insert["year"] = [get_dynamic_year(i) for i in range(null,13)] pd_insert["month"] = [ get_dynamic_month(i) for i in range(null,13) ]
处理未来7天的日期
""" pandas实在是太变态了,用row.name的方式获取行索引 把每一天都加上 """ data_date = today + datetime.timedelta(days=i+1) return data_date.strftime("%Y-%m-%d") pd_insert['forecast_date'] = today.strftime("%Y-%m-%d") pd_insert['data_date'] = pd_insert.apply( lambda x: get_date(x.name, x['forecast_date']), axis=1)
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