如果你的嵌套 list 结构更复杂,比如有更多层次的嵌套,那么你需要使用递归方法进行拆包。下面是一个简单的示例: defunpack_list(items):foriteminitems:ifisinstance(item,list):unpack_list(item)# 递归调用else:print(item)# 测试嵌套 listcomplex_nested_list=[1,[2,[3,4]],5]unpack_list(complex_nested_l...
week = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'] print(week[:]) # week的拷贝 ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'] list1 = [123, 456, 789, 213] list2 = list1 list3 = list1[:] print(list2) # [123, 456, 789, 213] print(list3) # ...
45:11# 12 ~ 16 字节是 py 文件的大小print( struct.unpack("<I", data[12: 16])[]) # 22结果和我们分析的一样，前 16 字节是固定的，而 16 个字节往后就是 PyCodeObject 对象，并且是序列化之后的，因为该对象显然无法直接存在文件中。import marshalwith open("__pycache__/tools.cpython-312....
b=a##推荐a,b=b,a# 先生成一个元组(tuple)对象,然后unpack 2. Unpacking ##不推荐l=['David','Pythonista','+1-514-555-1234']first_name=l[0]last_name=l[1]phone_number=l[2]##推荐l=['David','Pythonista','+1-514-555-1234']first_name,last_name,phone_number=l# Python 3 Onlyfir...
A Nested List x[0], x[2], and x[4] are strings, each one character long:>>> print(x[0], x[2], x[4]) a g j But x[1] and x[3] are sublists:>>> x[1] ['bb', ['ccc', 'ddd'], 'ee', 'ff'] >>> x[3] ['hh', 'ii'] ...
empty_list = [] 列表的元素不局限于单一的数据类型,考虑到Python是一种动态语言这是非常有意义的创新 mixed_list = [1, 'abc', True, 2.34, None] 一个列表可以包含另一个列表作为它的元素 nested_list = [['a', 'b', 'c'], [1, 2, 3]] 可以通过索引或位置的数字表示访问列表的元素。Python中...
(transposed)# 这个两层for循环可以简写成一层循环,另一层在列表中:transposed=[]foriinrange(4):transposed.append([row[i]forrowinmatrix])print(transposed)# 终极简化list(zip(*matrix))# 这里用到了我们之前讲到的解包(Unpack)的知识,而zip是什么作用,看下面的例子:foriinzip([1,2,3],...
ValueError: too many values to unpack (expected 3) >>> s1, s2, s3, s4, s5 = t Traceback (most recent call last): ... ValueError: not enough values to unpack (expected 5, got 4) In the first example, the number of variables is less than the items in the tuple, and the erro...
列表(list)可以存储不同数据类型的多个对象。列表用途广泛,你可以随时使用它。创建列表的语法如下: 代码语言:javascript 复制 [element1,element2,...] 列表也是对象,也可以包含其他列表作为元素。我称之为嵌套列表(nested list) 代码语言:javascript 复制
Unpacking can also be performed on nested sequences. This can come in handy especially when iterating on some complex data structures built of sequences. Here are some examples of more complex unpacking:>>> # starred expression to capture rest of the sequence >>> first, second, *rest = 0...