如何在Python中连接两个列表?
例子:
listone = [1, 2, 3]
listtwo = [4, 5, 6]
预期结果:
>>> joinedlist
[1, 2, 3, 4, 5, 6]
如何在Python中连接两个列表?
例子:
listone = [1, 2, 3]
listtwo = [4, 5, 6]
预期结果:
>>> joinedlist
[1, 2, 3, 4, 5, 6]
当前回答
这很简单,我认为它甚至在教程中显示了:
>>> listone = [1,2,3]
>>> listtwo = [4,5,6]
>>>
>>> listone + listtwo
[1, 2, 3, 4, 5, 6]
其他回答
这很简单,我认为它甚至在教程中显示了:
>>> listone = [1,2,3]
>>> listtwo = [4,5,6]
>>>
>>> listone + listtwo
[1, 2, 3, 4, 5, 6]
我能找到的加入列表的所有可能方法
import itertools
A = [1,3,5,7,9] + [2,4,6,8,10]
B = [1,3,5,7,9]
B.append([2,4,6,8,10])
C = [1,3,5,7,9]
C.extend([2,4,6,8,10])
D = list(zip([1,3,5,7,9],[2,4,6,8,10]))
E = [1,3,5,7,9]+[2,4,6,8,10]
F = list(set([1,3,5,7,9] + [2,4,6,8,10]))
G = []
for a in itertools.chain([1,3,5,7,9], [2,4,6,8,10]):
G.append(a)
print("A: " + str(A))
print("B: " + str(B))
print("C: " + str(C))
print("D: " + str(D))
print("E: " + str(E))
print("F: " + str(F))
print("G: " + str(G))
输出
A: [1, 3, 5, 7, 9, 2, 4, 6, 8, 10]
B: [1, 3, 5, 7, 9, [2, 4, 6, 8, 10]]
C: [1, 3, 5, 7, 9, 2, 4, 6, 8, 10]
D: [(1, 2), (3, 4), (5, 6), (7, 8), (9, 10)]
E: [1, 3, 5, 7, 9, 2, 4, 6, 8, 10]
F: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
G: [1, 3, 5, 7, 9, 2, 4, 6, 8, 10]
a = [1, 2, 3]
b = [4, 5, 6]
c = a + b
print(c)
输出
>>> [1, 2, 3, 4, 5, 6]
在上面的代码中,“+”运算符用于将两个列表连接成一个列表。
另一种解决方案
a = [1, 2, 3]
b = [4, 5, 6]
c = [] # Empty list in which we are going to append the values of list (a) and (b)
for i in a:
c.append(i)
for j in b:
c.append(j)
print(c)
输出
>>> [1, 2, 3, 4, 5, 6]
用于连接列表的最常见方法是加号运算符和内置方法append,例如:
list = [1,2]
list = list + [3]
# list = [1,2,3]
list.append(3)
# list = [1,2,3]
list.append([3,4])
# list = [1,2,[3,4]]
对于大多数情况,这都会起作用,但如果添加了列表,append函数将不会扩展列表。因为这是不期望的,所以可以使用另一个名为extend的方法。它应适用于以下结构:
list = [1,2]
list.extend([3,4])
# list = [1,2,3,4]
所以有两种简单的方法。
使用+:它从提供的列表中创建一个新列表
例子:
In [1]: a = [1, 2, 3]
In [2]: b = [4, 5, 6]
In [3]: a + b
Out[3]: [1, 2, 3, 4, 5, 6]
In [4]: %timeit a + b
10000000 loops, best of 3: 126 ns per loop
使用扩展:它将新列表附加到现有列表。这意味着它不会创建单独的列表。
例子:
In [1]: a = [1, 2, 3]
In [2]: b = [4, 5, 6]
In [3]: %timeit a.extend(b)
10000000 loops, best of 3: 91.1 ns per loop
因此,我们发现在两种最流行的方法中,extend是有效的。