我如何写一个列表文件?writelines()不插入换行符,所以我需要这样做:
f.writelines([f"{line}\n" for line in lines])
我如何写一个列表文件?writelines()不插入换行符,所以我需要这样做:
f.writelines([f"{line}\n" for line in lines])
当前回答
更简单的是:
with open("outfile", "w") as outfile:
outfile.write("\n".join(itemlist))
要确保项目列表中的所有项目都是字符串,请使用生成器表达式:
with open("outfile", "w") as outfile:
outfile.write("\n".join(str(item) for item in itemlist))
记住,项目列表占用内存,所以要注意内存消耗。
其他回答
这个逻辑首先将list中的项转换为字符串(str)。有时列表包含一个元组,如
alist = [(i12,tiger),
(113,lion)]
这个逻辑将把每个元组写入一个新行。我们可以在读取文件时加载每个元组时使用eval:
outfile = open('outfile.txt', 'w') # open a file in write mode
for item in list_to_persistence: # iterate over the list items
outfile.write(str(item) + '\n') # write to the file
outfile.close() # close the file
简单:
with open("text.txt", 'w') as file:
file.write('\n'.join(yourList))
poem = '''\
Programming is fun
When the work is done
if you wanna make your work also fun:
use Python!
'''
f = open('poem.txt', 'w') # open for 'w'riting
f.write(poem) # write text to file
f.close() # close the file
How It Works: First, open a file by using the built-in open function and specifying the name of the file and the mode in which we want to open the file. The mode can be a read mode (’r’), write mode (’w’) or append mode (’a’). We can also specify whether we are reading, writing, or appending in text mode (’t’) or binary mode (’b’). There are actually many more modes available and help(open) will give you more details about them. By default, open() considers the file to be a ’t’ext file and opens it in ’r’ead mode. In our example, we first open the file in write text mode and use the write method of the file object to write to the file and then we finally close the file.
上面的例子来自Swaroop C H编写的《A Byte of Python》一书。 swaroopch.com
在Python3中你可以使用这个循环
with open('your_file.txt', 'w') as f:
for item in list:
f.print("", item)
我最近发现Path很有用。帮助我绕过不得不打开('file')作为f,然后写入文件。希望这对某些人有用:)。
from pathlib import Path
import json
a = [[1,2,3],[4,5,6]]
# write
Path("file.json").write_text(json.dumps(a))
# read
json.loads(Path("file.json").read_text())