Python内置的CSV模块可以轻松处理:

import csv

with open("output.csv", "wb") as f:
    writer = csv.writer(f)
    writer.writerows(a)

这假设你的列表被定义为a，就像你的问题一样。您可以通过CSV .writer()的各种可选参数调整输出CSV的确切格式，如上面链接的库参考页中所记录的那样。

Python 3更新

import csv

with open("out.csv", "w", newline="") as f:
    writer = csv.writer(f)
    writer.writerows(a)

Ambers的解决方案也适用于numpy数组:

from pylab import *
import csv

array_=arange(0,10,1)
list_=[array_,array_*2,array_*3]
with open("output.csv", "wb") as f:
    writer = csv.writer(f)
    writer.writerows(list_)

如何转储列表的列表到pickle和恢复它与pickle模块?这很方便。

>>> import pickle
>>> 
>>> mylist = [1, 'foo', 'bar', {1, 2, 3}, [ [1,4,2,6], [3,6,0,10]]]
>>> with open('mylist', 'wb') as f:
...     pickle.dump(mylist, f) 


>>> with open('mylist', 'rb') as f:
...      mylist = pickle.load(f)
>>> mylist
[1, 'foo', 'bar', {1, 2, 3}, [[1, 4, 2, 6], [3, 6, 0, 10]]]
>>> 

使用csv。在我庞大的列表中，作者花了相当长的时间。我决定使用熊猫，它更快，更容易控制和理解:

 import pandas

 yourlist = [[...],...,[...]]
 pd = pandas.DataFrame(yourlist)
 pd.to_csv("mylist.csv")

好的部分是你可以改变一些东西来创建一个更好的csv文件:

 yourlist = [[...],...,[...]]
 columns = ["abcd","bcde","cdef"] #a csv with 3 columns
 index = [i[0] for i in yourlist] #first element of every list in yourlist
 not_index_list = [i[1:] for i in yourlist]
 pd = pandas.DataFrame(not_index_list, columns = columns, index = index)

 #Now you have a csv with columns and index:
 pd.to_csv("mylist.csv")

如果出于某种原因你想手动执行(不使用csv,pandas,numpy等模块):

with open('myfile.csv','w') as f:
    for sublist in mylist:
        for item in sublist:
            f.write(item + ',')
        f.write('\n')

当然，滚动您自己的版本可能容易出错且效率低下……这就是为什么会有专门的模块。但有时自己写可以帮助你理解它们是如何工作的，有时只是更简单。

在将列表的列表的列表的列表导出为.csv的情况下，这将在Python3中工作:

import csv
with open("output.csv", "w") as f:
    writer = csv.writer(f)
    for element in lll:
        writer.writerows(element)