我收到了一些编码的文本,但我不知道使用的是什么字符集。是否有一种方法可以使用Python确定文本文件的编码?如何检测文本文件的编码/代码页处理c#。
当前回答
另一种计算编码的方法是使用 的代码 文件命令)。有大量的 可用的Python绑定。
文件源树中的python绑定可作为 Python-magic(或python3-magic) debian软件包。它可以通过执行以下操作来确定文件的编码:
import magic
blob = open('unknown-file', 'rb').read()
m = magic.open(magic.MAGIC_MIME_ENCODING)
m.load()
encoding = m.buffer(blob) # "utf-8" "us-ascii" etc
在pypi上有一个名称相同但不兼容的python-magic pip包,它也使用libmagic。它也可以得到编码,通过这样做:
import magic
blob = open('unknown-file', 'rb').read()
m = magic.Magic(mime_encoding=True)
encoding = m.from_buffer(blob)
其他回答
这可能会有帮助
from bs4 import UnicodeDammit
with open('automate_data/billboard.csv', 'rb') as file:
content = file.read()
suggestion = UnicodeDammit(content)
suggestion.original_encoding
#'iso-8859-1'
使用linux file -i命令
import subprocess
file = "path/to/file/file.txt"
encoding = subprocess.Popen("file -bi "+file, shell=True, stdout=subprocess.PIPE).stdout
encoding = re.sub(r"(\\n)[^a-z0-9\-]", "", str(encoding.read()).split("=")[1], flags=re.IGNORECASE)
print(encoding)
如果你不满意自动工具,你可以尝试所有的编解码器,看看哪个编解码器是正确的手动。
all_codecs = ['ascii', 'big5', 'big5hkscs', 'cp037', 'cp273', 'cp424', 'cp437',
'cp500', 'cp720', 'cp737', 'cp775', 'cp850', 'cp852', 'cp855', 'cp856', 'cp857',
'cp858', 'cp860', 'cp861', 'cp862', 'cp863', 'cp864', 'cp865', 'cp866', 'cp869',
'cp874', 'cp875', 'cp932', 'cp949', 'cp950', 'cp1006', 'cp1026', 'cp1125',
'cp1140', 'cp1250', 'cp1251', 'cp1252', 'cp1253', 'cp1254', 'cp1255', 'cp1256',
'cp1257', 'cp1258', 'euc_jp', 'euc_jis_2004', 'euc_jisx0213', 'euc_kr',
'gb2312', 'gbk', 'gb18030', 'hz', 'iso2022_jp', 'iso2022_jp_1', 'iso2022_jp_2',
'iso2022_jp_2004', 'iso2022_jp_3', 'iso2022_jp_ext', 'iso2022_kr', 'latin_1',
'iso8859_2', 'iso8859_3', 'iso8859_4', 'iso8859_5', 'iso8859_6', 'iso8859_7',
'iso8859_8', 'iso8859_9', 'iso8859_10', 'iso8859_11', 'iso8859_13',
'iso8859_14', 'iso8859_15', 'iso8859_16', 'johab', 'koi8_r', 'koi8_t', 'koi8_u',
'kz1048', 'mac_cyrillic', 'mac_greek', 'mac_iceland', 'mac_latin2', 'mac_roman',
'mac_turkish', 'ptcp154', 'shift_jis', 'shift_jis_2004', 'shift_jisx0213',
'utf_32', 'utf_32_be', 'utf_32_le', 'utf_16', 'utf_16_be', 'utf_16_le', 'utf_7',
'utf_8', 'utf_8_sig']
def find_codec(text):
for i in all_codecs:
for j in all_codecs:
try:
print(i, "to", j, text.encode(i).decode(j))
except:
pass
find_codec("The example string which includes ö, ü, or ÄŸ, ö")
这个脚本至少创建了9409行输出。因此,如果输出不能适应终端屏幕,请尝试将输出写入文本文件。
在一般情况下,原则上不可能确定文本文件的编码。所以没有标准的Python库来帮你做这个。
如果您对文本文件有更具体的了解(例如,它是XML),可能会有库函数。
编辑:chardet似乎无人维护,但大部分答案适用。请登录https://pypi.org/project/charset-normalizer/查看其他选择
始终正确地检测编码是不可能的。
(来自chardet FAQ:)
However, some encodings are optimized for specific languages, and languages are not random. Some character sequences pop up all the time, while other sequences make no sense. A person fluent in English who opens a newspaper and finds “txzqJv 2!dasd0a QqdKjvz” will instantly recognize that that isn't English (even though it is composed entirely of English letters). By studying lots of “typical” text, a computer algorithm can simulate this kind of fluency and make an educated guess about a text's language.
有一个chardet库利用这项研究来检测编码。chardet是Mozilla中自动检测代码的一个端口。
你也可以使用UnicodeDammit。它将尝试以下方法:
An encoding discovered in the document itself: for instance, in an XML declaration or (for HTML documents) an http-equiv META tag. If Beautiful Soup finds this kind of encoding within the document, it parses the document again from the beginning and gives the new encoding a try. The only exception is if you explicitly specified an encoding, and that encoding actually worked: then it will ignore any encoding it finds in the document. An encoding sniffed by looking at the first few bytes of the file. If an encoding is detected at this stage, it will be one of the UTF-* encodings, EBCDIC, or ASCII. An encoding sniffed by the chardet library, if you have it installed. UTF-8 Windows-1252
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