my_list = ['foo', 'fob', 'faz', 'funk']
string = 'bar'
my_new_list = [x + string for x in my_list]
print my_new_list

这将打印:

['foobar', 'fobbar', 'fazbar', 'funkbar']

扩展位到“追加一个字符串列表到一个字符串列表”:

    import numpy as np
    lst1 = ['a','b','c','d','e']
    lst2 = ['1','2','3','4','5']

    at = np.full(fill_value='@',shape=len(lst1),dtype=object) #optional third list
    result = np.array(lst1,dtype=object)+at+np.array(lst2,dtype=object)

结果:

array(['a@1', 'b@2', 'c@3', 'd@4', 'e@5'], dtype=object)

Dtype odject可以进一步转换为STR

使用更多选项进行更新

以下是我所遵循的一些方法，我相信还会有更多。

方法1:

list1 = ['foo', 'fob', 'faz', 'funk']
list2 = [ls+"bar" for ls in list1] # using list comprehension
print(list2)

方法2:

list1 = ['foo', 'fob', 'faz', 'funk']
list2 = list(map(lambda ls: ls+"bar", list1))
print(list2)

方法3:

list1 = ['foo', 'fob', 'faz', 'funk']
addstring = 'bar'
for index, value in enumerate(list1):
    list1[index] = addstring + value #this will prepend the string
    #list1[index] = value + addstring #this will append the string

方法4:

list1 = ['foo', 'fob', 'faz', 'funk']
addstring = 'bar'
list2 = []
for value in list1:
    list2.append(str(value) + "bar")
print(list2)

方法5:

list1 = ['foo', 'fob', 'faz', 'funk']
list2 = list(map(''.join, zip(list1, ["bar"]*len(list1))))
print(list2)

避免使用关键字作为变量，如“list”，将“list”重命名为“list1”

你可以在python中使用lambda inside map。写了一个灰色代码生成器。 https://github.com/rdm750/rdm750.github.io/blob/master/python/gray_code_generator.py #你的代码在这里 “‘ n-1位代码，每个单词前加0，后面加 反向排列的n-1位代码，每个单词前加1。 “‘

    def graycode(n):
        if n==1:
            return ['0','1']
        else:
            nbit=map(lambda x:'0'+x,graycode(n-1))+map(lambda x:'1'+x,graycode(n-1)[::-1])
            return nbit

    for i in xrange(1,7):
        print map(int,graycode(i))

这里有一个简单的答案，用熊猫。

import pandas as pd
list1 = ['foo', 'fob', 'faz', 'funk']
string = 'bar'

list2 = (pd.Series(list1) + string).tolist()
list2
# ['foobar', 'fobbar', 'fazbar', 'funkbar']

以python的方式运行下面的实验:

[s + mystring for s in mylist]

似乎比明显使用for循环快35%:

i = 0
for s in mylist:
    mylist[i] = s+mystring
    i = i + 1

实验

import random
import string
import time

mystring = '/test/'

l = []
ref_list = []

for i in xrange( 10**6 ):
    ref_list.append( ''.join(random.choice(string.ascii_lowercase) for i in range(10)) )

for numOfElements in [5, 10, 15 ]:

    l = ref_list*numOfElements
    print 'Number of elements:', len(l)

    l1 = list( l )
    l2 = list( l )

    # Method A
    start_time = time.time()
    l2 = [s + mystring for s in l2]
    stop_time = time.time()
    dt1 = stop_time - start_time
    del l2
    #~ print "Method A: %s seconds" % (dt1)

    # Method B
    start_time = time.time()
    i = 0
    for s in l1:
        l1[i] = s+mystring
        i = i + 1
    stop_time = time.time()
    dt0 = stop_time - start_time
    del l1
    del l
    #~ print "Method B: %s seconds" % (dt0)

    print 'Method A is %.1f%% faster than Method B' % ((1 - dt1/dt0)*100)

结果

Number of elements: 5000000
Method A is 38.4% faster than Method B
Number of elements: 10000000
Method A is 33.8% faster than Method B
Number of elements: 15000000
Method A is 35.5% faster than Method B