import calendar import datetime # Month name from number print("Month name from number 5:") month_num = 1 month_abre = datetime.date(2015, month_num, 1).strftime('%b') month_name = datetime.date(2015, month_num, 1).strftime('%B') print("Short Name:", month_abre) print("Full ...
importcalendarimportdatetime # Month name from numberprint("Month name from number 5:")month_num=1month_abre=datetime.date(2015,month_num,1).strftime('%b')month_name=datetime.date(2015,month_num,1).strftime('%B')print("Short Name:",month_abre)print("Full Name:",month_name)print("\nL...
我们可以利用datetime模块中的strptime方法将月份名称转换为数字。 fromdatetimeimportdatetimedefmonth_name_to_number(month_name):try:returndatetime.strptime(month_name,'%B').monthexceptValueError:return"Invalid month name" 1. 2. 3. 4. 5. 6. 7. 使用示例 print(month_name_to_number("January"))# ...
number=1):#获取前几个月month_date = datetime.now().date() - relativedelta(months=number)returnmonth_date.strftime("%Y-%m")defget_next_month(self, number=1):#获取后几个月month_date
"""定义函数,根据生日(年月日),计算活了多天"""fromdatetimeimportdatetimedefcalculate_alive_day(year: int, month: int, day: int) ->int:"""计算出生到现在活着天数 :param year: int类型 年份 :param month: int类型 月份 :param day: int类型 天 ...
有了 PyCharm,IDE 就不再是限制。 Cory Althoff CompTIA 软件开发项目高级副总裁以及《The Self-Taught Programmer》的作者 PyCharm 是我最喜欢的 IDE。从漂亮的 UI 到让我的程序员生涯变得更轻松的功能,比如全行代码补全和对 Jupyter Notebook 的支持,我无法想象没有它的生活。我使用 PyCharm 已经十多年了,...
33.Write a Python program to convert a month name to a number of days. Expected Output: List of months: January, February, March, April, May, June, July, August , September, October, November, December Input the name of Month: February ...
@decorator_name def function_that_gets_passed_to_decorator(): ... Debugger Example Decorator that prints function's name every time the function is called. from functools import wraps def debug(func): @wraps(func) def out(*args, **kwargs): print(func.__name__) return func(*args, **...
month(2018,3) def print_walk(self): dir_num = 0 file_num = 0 for root,dirs,files in os.walk("/Users/zhouhaijun/Desktop/hhhhh/",topdown=False): for name in files: file_num += 1 for dir in dirs: dir_num += 1 print dir_num print file_num def data_chuli(self): with open...
grouping.transform(min) 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 Name: price, dtype: int64 # transform and then correlation df['ic'] = df.groupby(by=['trade_date'])['factor'].transform(lambda x: x.corr(df.loc[x.index, 'fret_01'])) # groupby on certain number of ...