在Python中,我们可以通过enum模块的Enum类来定义枚举类型。要将Enum转换为List,我们可以使用Enum的__members__属性和列表推导式来实现。 下面是一个示例代码,演示了如何将Enum转换为List: fromenumimportEnumclassFruit(Enum):APPLE=1BANANA=2ORANGE=3# 将Enum转换为Listfruit_list=list(Fruit.__members__)print(fr...
_, first_enum = cls._get_mixins_(bases) classdict = metacls.__prepare__(class_name, bases)# special processing needed for names?ifisinstance(names,str): names = names.replace(',',' ').split()ifisinstance(names, (tuple,list))andnamesandisinstance(names[0],str): original_names, names...
>>> from enum import Enum, auto >>> class Color(Enum): ... RED = auto() ... BLUE = auto() ... GREEN = auto() ... >>> list(Color) [<Color.RED: 1>, <Color.BLUE: 2>, <Color.GREEN: 3>] 值将由 _generate_next_value_() 来选择,该函数可以被重载: >>> >>> cla...
With thelistbuilt-in function, we get the list of all possible values for theSeasonenum. $ python main.py Season.SPRING Spring [<Season.SPRING: 1>, <Season.SUMMER: 2>, <Season.AUTUMN: 3>, <Season.WINTER: 4>] Simple example II The next example presents some other basic functionality o...
# to get iterator from range function x = range(10) iter(x) x.__iter__() Map returns an interator from a list y = map(lambda i: i ** 2, list) decorator装饰器 装饰器是把一个要执行的函数包含在wrapper函数里面,并且在要执行的函数前后去执行代码 ...
普通迭代 直接使用元素 lst = ["Tom", "Jack", "Steve"] for item in lst: print(item) 1. 2. 3. 4. 输出结果 Tom Jack Steve 1. 2. 3. range迭代 可以获取索引 lst = ["Tom", "Jack", "Steve"] for index in range(len(lst)): ...
'cql'] #random.shuffle(names)#洗牌元组 #print(names)#TypeError: 'tuple' object does not support item assignment s = 'fdsaklfdjsakl;fdsa' #random.shuffle(s)# #print(s)#TypeError: 'str' object does not support item assignment #实际运用场景:将员工的姓名全部放到一个list中,年会的时候就可以...
Get a complete Python modules list with built-in libraries and packages. Learn how to use pip commands to install modules and manage your directory paths effectively.
any(n>0 for n in num_list) 有很多不是True or False的情况,有多个条件需要判断的时候,怎么处理呢? 在Python中我们可以使用字典的方式,以字典键作为不同case即可实现(其一): # 用字典以 case 为键,要执行的函数对象为值,这样做到按 case 路由
{} movie_ids = list(df[0].values) movie_name = list(df[1].values) for k,v in zip(movie_ids,movie_name): movie_dict[k] = v return movie_dict # Function to create training validation and test data def train_val(df,val_frac=None): X,y = df[['userID','movieID']].values,...