带有readlines()方法的Python3 UnicodeDecodeError

时间:2016-01-27 04:05:02

标签: python python-3.x unicode tweepy sys

尝试创建一个读取行并发布它们的twitter机器人。使用Python3和tweepy,通过我的共享服务器空间上的virtualenv。这是代码中似乎有问题的部分:

#!/foo/env/bin/python3

import re
import tweepy, time, sys

argfile = str(sys.argv[1])

filename=open(argfile, 'r')
f=filename.readlines()
filename.close()

这是我得到的错误:

UnicodeDecodeError: 'ascii' codec can't decode byte 0xfe in position 0: ordinal not in range(128)

该错误特别指向f=filename.readlines()作为错误的来源。知道什么可能是错的吗?感谢。

3 个答案:

答案 0 :(得分:20)

我认为最好的答案(在Python 3中)是使用errors=参数:

with open('evil_unicode.txt', 'r', errors='replace') as f:
    lines = f.readlines()

证明:

>>> s = b'\xe5abc\nline2\nline3'
>>> with open('evil_unicode.txt','wb') as f:
...     f.write(s)
...
16
>>> with open('evil_unicode.txt', 'r') as f:
...     lines = f.readlines()
...
Traceback (most recent call last):
  File "<stdin>", line 2, in <module>
  File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/codecs.py", line 319, in decode
    (result, consumed) = self._buffer_decode(data, self.errors, final)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe5 in position 0: invalid continuation byte
>>> with open('evil_unicode.txt', 'r', errors='replace') as f:
...     lines = f.readlines()
...
>>> lines
['�abc\n', 'line2\n', 'line3']
>>>

请注意,errors=可以是replaceignore。这是ignore的样子:

>>> with open('evil_unicode.txt', 'r', errors='ignore') as f:
...     lines = f.readlines()
...
>>> lines
['abc\n', 'line2\n', 'line3']

答案 1 :(得分:9)

您的默认编码似乎是ASCII,其输入很可能是UTF-8。当您在输入中点击非ASCII字节时,它会抛出异常。 readlines本身不是问题的原因;相反,它导致读取+解码发生,并且解码失败。

虽然这很容易解决; Python 3中的默认open允许您提供已知的encoding输入,用任何其他可识别的编码替换默认值(在您的情况下为ASCII)。提供它允许您继续阅读str(而不是显着不同的原始二进制数据bytes对象),同时让Python完成从原始磁盘字节转换为真实文本数据的工作:

# Using with statement closes the file for us without needing to remember to close
# explicitly, and closes even when exceptions occur
with open(argfile, encoding='utf-8') as inf:
    f = inf.readlines()

答案 2 :(得分:0)

结束为自己找到一个有效的答案:

filename=open(argfile, 'rb')

This post帮助了我很多。