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'

这个网站有python代码识别ascii，编码bom和utf8 no bom: https://unicodebook.readthedocs.io/guess_encoding.html。将文件读入字节数组(data): http://www.codecodex.com/wiki/Read_a_file_into_a_byte_array。举个例子。我在osx。

#!/usr/bin/python                                                                                                  

import sys

def isUTF8(data):
    try:
        decoded = data.decode('UTF-8')
    except UnicodeDecodeError:
        return False
    else:
        for ch in decoded:
            if 0xD800 <= ord(ch) <= 0xDFFF:
                return False
        return True

def get_bytes_from_file(filename):
    return open(filename, "rb").read()

filename = sys.argv[1]
data = get_bytes_from_file(filename)
result = isUTF8(data)
print(result)


PS /Users/js> ./isutf8.py hi.txt                                                                                     
True

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。

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)

你可以使用' python-magic package，它不会将整个文件加载到内存中:

import magic


def detect(
    file_path,
):
    return magic.Magic(
        mime_encoding=True,
    ).from_file(file_path)

输出是编码名称，例如:

iso - 8859 - 1 us - ascii utf - 8

下面是一个读取并接受一个chardet编码预测的例子，如果它很大，则从文件中读取n_lines。

Chardet还提供了它的编码预测的概率(即置信度)(还没有看到他们是如何提出的)，它与Chardet .predict()的预测一起返回，所以如果你喜欢，你可以以某种方式使用它。

import chardet
from pathlib import Path

def predict_encoding(file_path: Path, n_lines: int=20) -> str:
    '''Predict a file's encoding using chardet'''

    # Open the file as binary data
    with Path(file_path).open('rb') as f:
        # Join binary lines for specified number of lines
        rawdata = b''.join([f.readline() for _ in range(n_lines)])

    return chardet.detect(rawdata)['encoding']