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']

# Function: OpenRead(file)

# A text file can be encoded using:
#   (1) The default operating system code page, Or
#   (2) utf8 with a BOM header
#
#  If a text file is encoded with utf8, and does not have a BOM header,
#  the user can manually add a BOM header to the text file
#  using a text editor such as notepad++, and rerun the python script,
#  otherwise the file is read as a codepage file with the 
#  invalid codepage characters removed

import sys
if int(sys.version[0]) != 3:
    print('Aborted: Python 3.x required')
    sys.exit(1)

def bomType(file):
    """
    returns file encoding string for open() function

    EXAMPLE:
        bom = bomtype(file)
        open(file, encoding=bom, errors='ignore')
    """

    f = open(file, 'rb')
    b = f.read(4)
    f.close()

    if (b[0:3] == b'\xef\xbb\xbf'):
        return "utf8"

    # Python automatically detects endianess if utf-16 bom is present
    # write endianess generally determined by endianess of CPU
    if ((b[0:2] == b'\xfe\xff') or (b[0:2] == b'\xff\xfe')):
        return "utf16"

    if ((b[0:5] == b'\xfe\xff\x00\x00') 
              or (b[0:5] == b'\x00\x00\xff\xfe')):
        return "utf32"

    # If BOM is not provided, then assume its the codepage
    #     used by your operating system
    return "cp1252"
    # For the United States its: cp1252


def OpenRead(file):
    bom = bomType(file)
    return open(file, 'r', encoding=bom, errors='ignore')


#######################
# Testing it
#######################
fout = open("myfile1.txt", "w", encoding="cp1252")
fout.write("* hi there (cp1252)")
fout.close()

fout = open("myfile2.txt", "w", encoding="utf8")
fout.write("\u2022 hi there (utf8)")
fout.close()

# this case is still treated like codepage cp1252
#   (User responsible for making sure that all utf8 files
#   have a BOM header)
fout = open("badboy.txt", "wb")
fout.write(b"hi there.  barf(\x81\x8D\x90\x9D)")
fout.close()

# Read Example file with Bom Detection
fin = OpenRead("myfile1.txt")
L = fin.readline()
print(L)
fin.close()

# Read Example file with Bom Detection
fin = OpenRead("myfile2.txt")
L =fin.readline() 
print(L) #requires QtConsole to view, Cmd.exe is cp1252
fin.close()

# Read CP1252 with a few undefined chars without barfing
fin = OpenRead("badboy.txt")
L =fin.readline() 
print(L)
fin.close()

# Check that bad characters are still in badboy codepage file
fin = open("badboy.txt", "rb")
fin.read(20)
fin.close()

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。

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)

一些编码策略，请取消评论品味:

#!/bin/bash
#
tmpfile=$1
echo '-- info about file file ........'
file -i $tmpfile
enca -g $tmpfile
echo 'recoding ........'
#iconv -f iso-8859-2 -t utf-8 back_test.xml > $tmpfile
#enca -x utf-8 $tmpfile
#enca -g $tmpfile
recode CP1250..UTF-8 $tmpfile

您可能希望通过以循环的形式打开并读取文件来检查编码…但是你可能需要先检查文件大小:

# PYTHON
encodings = ['utf-8', 'windows-1250', 'windows-1252'] # add more
for e in encodings:
    try:
        fh = codecs.open('file.txt', 'r', encoding=e)
        fh.readlines()
        fh.seek(0)
    except UnicodeDecodeError:
        print('got unicode error with %s , trying different encoding' % e)
    else:
        print('opening the file with encoding:  %s ' % e)
        break

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']