List objects needn’t be unique. A given object can appear in a list multiple times:(列表元素可以重复)>>> a = ['bark', 'meow', 'woof', 'bark', 'cheep', 'bark'] >>> a ['bark', 'meow', 'woof', 'bark', 'cheep', 'bark'] ...
The sum() function returns the sum of the values in the input list. Finally, it’s important to note that all these functions work the same with tuples. So, instead of using them with list objects, you can also use tuple objects....
bases,dict)|type(object)->the object's type|type(name,bases,dict)->anewtype||Methods defined here:||__call__(self,/,*args,**kwargs)|Call selfasafunction.||__delattr__(self,name,/)|Implementdelattr(self,name).||__dir__(...)|__dir__()->list|specialized __dir__ implementati...
例如，去除列表中的重复项可以先将其转化为集合，然后再转回列表：duplicate_numbers =[1,2,2,3,3,3,4,5,5]unique_numbers =list(set(duplicate_numbers))print(unique_numbers)# [1, 2, 3, 4, 5]通过这些转换 ，我们可以更好地利用不同数据结构的优点 ，灵活应对不同的编程任务。第6章 列表在实际项...
clear() # reset all counts list(c) # list unique elements set(c) # convert to a set dict(c) # convert to a regular dictionary c.items() # convert to a list of (elem, cnt) pairs Counter(dict(list_of_pairs)) # convert from a list of (elem, cnt) pairs c.most_common()[:-...
Build an unordered collection of unique elements. 集合内置方法: defadd(self, *args, **kwargs):"""Add an element to a set. This has no effect if the element is already present."""pass给集合添加一个元素,当元素已存在时,集合不变。defclear(self, *args, **kwargs):"""Remove all element...
方法2:使用一个列表推导式(list comprehension)从一个列表中删除重复值。 def remove_duplicates(original): unique = [] [unique.append(n) for n in original if n not in unique] return(unique) print(remove_duplicates([1, 2, 3, 1, 7])) ...
In[5]:tuple([4,0,2])Out[5]: (4,0,2)In[6]: tup =tuple('string')In[7]: tupOut[7]: ('s','t','r','i','n','g') 可以用方括号访问元组中的元素。和C、C++、JAVA等语言一样,序列是从0开始的: 深色代码主题 复制 In[8]: tup[0]Out[8]:'s' ...
>>> from mimesis import Person >>> person = Person('en') >>> person.full_name() 'Brande Sears' >>> person.email(domains=['mimesis.name']) 'roccelline1878@mimesis.name' >>> person.email(domains=['mimesis.name'], unique=True) 'f272a05d39ec46fdac5be4ac7be45f3f@...
list2 [1, 2, 3, 4, 6, 5] 1. 2. 3. 4. 5. 6. 7. 对数据框去重 用unique()对单属性列去重 import pandas as pd data = {'id':['A','B','C','C','C','A','B','C','A'],'age':[18,20,14,10,50,14,65,14,98]} ...