Suppose I am reading a file containing 3 comma separated numbers. The file was saved with with an unknown encoding, so far I am dealing with ANSI and UTF-8. If the file was in UTF-8 and it had 1 row with values 115,113,12 then:
with open(file) as f:
a,b,c=map(int,f.readline().split(','))
would throw this:
invalid literal for int() with base 10: '\xef\xbb\xbf115'
The first number is always mangled with these '\xef\xbb\xbf' characters. For the rest 2 numbers the conversion works fine. If I manually replace '\xef\xbb\xbf' with '' and then do the int conversion it will work.
Is there a better way of doing this for any type of encoded file?
import codecs
with codecs.open(file, "r", "utf-8-sig") as f:
a, b, c= map(int, f.readline().split(","))
This works in Python 2.6.4. The codecs.open
call opens the file and returns data as unicode, decoding from UTF-8 and ignoring the initial BOM.
What you're seeing is a UTF-8 encoded BOM, or "Byte Order Mark". The BOM is not usually used for UTF-8 files, so the best way to handle it might be to open the file with a UTF-8 codec, and skip over the U+FEFF
character if present.
来源:https://stackoverflow.com/questions/2359832/dealing-with-utf-8-numbers-in-python