首先需要导入Python的datetime库，这是处理日期和时间的基础。获取当前日期或指定日期：使用datetime.datetime.now获取当前日期和时间。或者使用datetime.datetime.strptime将字符串转换为日期格式，其中date_string是日期字符串，format_string是日期格式。提取基本信息：年：date_object.year月：date_object.month...
对于日期,用字段 .year, .month 和 .day 可获取年、月、日信息,用方法 weekday() 可获取星期几的信息。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 print(cashflow_dates[1].year)print(cashflow_dates[1].month)print(cashflow_dates[1].day)print(cashflow_dates[1].weekday()) 代码语言:j...
timedelta(days=1) local_date_str = datetime.datetime.strftime(local_date ,'%Y-%m-%d') return local_date_str def get_info(year,month): query=str(year)+'年'+str(month)+'月' url='https://sp0.baidu.com/8aQDcjqpAAV3otqbppnN2DJv/api.php?query='+query+'&resource_id=39043&oe=gbk...
Unit Root Test Thenullhypothesisofthe Augmented Dickey-Fuller is that there is a unit root,withthe alternative that there is no unit root.That is to say the bigger the p-value the more reason we assert that there is a unit root''' def testStationarity(ts): dftest = adfuller(ts) # ...
(r"^a","\nabc\neee",flags=re.MULTILINE)3'$'匹配字符结尾,或e.search("foo$","bfoo\nsdfsf",flags=re.MULTILINE).group()也可以4'*'匹配*号前的字符0次或多次,re.findall("ab*","cabb3abcbbac") 结果为['abb','ab','a']5'+'匹配前一个字符1次或多次,re.findall("ab+","ab+cd+...
print(pendulum.now().subtract(days=14).diff_for_humans()) ## '2周前' print(pendulum.now().add(seconds=5).diff_for_humans()) ## '5秒钟后' 8 weakref weakref 是一个用于在 Python 中创建对对象的弱引用的模块。 弱引用是不保护给定对象不被垃圾回收机制收集的引用。 以下是与该模块相关的两...
yearIdx= self.year - 1900foriinrange(yearIdx): offset+=yearDays[i] offset+=_calcDays(yearInfos[yearIdx], self.month, self.day, self.isLeapMonth)returnself._startDate + datetime.timedelta(days=offset)def__sub__(self, other):ifisinstance(other, LunarDate):returnself.toSolarDate() -other...
pandas will attempt to infer the `dtype`from the data.Note that when `data` is a NumPy array, ``data.dtype`` is*not* used for inferring the array type. This is becauseNumPy cannot represent all the types of data that can beheld in extension arrays.Currently, pandas will infer an exte...
PandasTimestamp.days_in_month属性返回Timestamp对象中给定日期的月份中的天数。 用法:Timestamp.days_in_month 参数:没有 返回:一个月中的天数 范例1:采用Timestamp.days_in_month属性以找出给定Timestamp对象中的天数。 # importing pandas as pdimportpandasaspd# Create the Timestamp objectts = pd.Timestamp...
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