你还可以通过以下步骤:

例子:

my_list=[1,2,3,4,5,"abc","def"]
with open('your_file.txt', 'w') as file:
    for item in my_list:
        file.write("%s\n" % item)

输出:

在your_file.txt中，项目的保存方式如下:

1

2

3

4

5

abc

def

您的脚本也按上述方式保存。

否则，你可以用泡菜

import pickle
my_list=[1,2,3,4,5,"abc","def"]
#to write
with open('your_file.txt', 'wb') as file:
    pickle.dump(my_list, file)
#to read
with open ('your_file.txt', 'rb') as file:
    Outlist = pickle.load(file)
print(Outlist)

输出: [1,2,3,4,5， 'abc'， 'def']

它保存转储列表，就像一个列表，当我们加载它时，我们能够读取。

同样由simplejson可能输出与上面相同的结果

import simplejson as sj
my_list=[1,2,3,4,5,"abc","def"]
#To write
with open('your_file.txt', 'w') as file:
    sj.dump(my_list, file)

#To save
with open('your_file.txt', 'r') as file:
    mlist=sj.load(file)
print(mlist)

你还可以通过以下步骤:

例子:

my_list=[1,2,3,4,5,"abc","def"]
with open('your_file.txt', 'w') as file:
    for item in my_list:
        file.write("%s\n" % item)

输出:

在your_file.txt中，项目的保存方式如下:

1

2

3

4

5

abc

def

您的脚本也按上述方式保存。

否则，你可以用泡菜

import pickle
my_list=[1,2,3,4,5,"abc","def"]
#to write
with open('your_file.txt', 'wb') as file:
    pickle.dump(my_list, file)
#to read
with open ('your_file.txt', 'rb') as file:
    Outlist = pickle.load(file)
print(Outlist)

输出: [1,2,3,4,5， 'abc'， 'def']

它保存转储列表，就像一个列表，当我们加载它时，我们能够读取。

同样由simplejson可能输出与上面相同的结果

import simplejson as sj
my_list=[1,2,3,4,5,"abc","def"]
#To write
with open('your_file.txt', 'w') as file:
    sj.dump(my_list, file)

#To save
with open('your_file.txt', 'r') as file:
    mlist=sj.load(file)
print(mlist)

使用numpy。Savetxt也是一个选项:

import numpy as np

np.savetxt('list.txt', list, delimiter="\n", fmt="%s")

使用Python 3和Python 2.6+语法:

with open(filepath, 'w') as file_handler:
    for item in the_list:
        file_handler.write("{}\n".format(item))

这是平台独立的。它还使用换行符结束最后一行，这是UNIX的最佳实践。

从Python 3.6开始，"{}\n".format(item)可以用f-string替换:f"{item}\n"。

序列化列表到文本文件与逗号分隔值

mylist = dir()
with open('filename.txt','w') as f:
    f.write( ','.join( mylist ) )

设avg为列表，则:

In [29]: a = n.array((avg))
In [31]: a.tofile('avgpoints.dat',sep='\n',dtype = '%f')

您可以根据自己的需求使用%e或%s。