Universal Encoding Detector

docs/how-it-works.html
参考：

Basic usage

The easiest way to use the Universal Encoding Detector library is with the detect function.

Example: Using the detect function

The detect function takes one argument, a non-Unicode string. It returns a dictionary containing the auto-detected character encoding and a confidence level from 0 to 1.

>>> import urllib
>>> rawdata = urllib.urlopen('').read()
>>> import chardet
>>> chardet.detect(rawdata)
{'encoding': 'EUC-JP', 'confidence': 0.99}

Advanced usage

If you’re dealing with a large amount of text, you can call the Universal Encoding Detector library incrementally, and it will stop as soon as it is confident enough to report its results.

Create a UniversalDetector object, then call its feed method repeatedly with each block of text. If the detector reaches a minimum threshold of confidence, it will set detector.done to True.

Once you’ve exhausted the source text, call detector.close(), which will do some final calculations in case the detector didn’t hit its minimum confidence threshold earlier. Then detector.result will be a dictionary containing the auto-detected character encoding and confidence level (the same as ).

Example: Detecting encoding incrementally

import urllib
from chardet.universaldetector import UniversalDetector

usock = urllib.urlopen('')
detector = UniversalDetector()
for line in usock.readlines():
    detector.feed(line)
    if detector.done: break
detector.close()
usock.close()
print detector.result

{'encoding': 'EUC-JP', 'confidence': 0.99}

If you want to detect the encoding of multiple texts (such as separate files), you can re-use a single UniversalDetector object. Just call detector.reset() at the start of each file, call detector.feed as many times as you like, and then call detector.close() and check the detector.result dictionary for the file’s results.

Example: Detecting encodings of multiple files

import glob
from charset.universaldetector import UniversalDetector

detector = UniversalDetector()
for filename in glob.glob('*.xml'):
    print filename.ljust(60),
    detector.reset()
    for line in file(filename, 'rb'):
        detector.feed(line)
        if detector.done: break
    detector.close()
    print detector.result