I have a unicode string with accented latin chars e.g.
n=unicode(\'Wikipédia, le projet d’encyclopédie\',\'utf-8\')
I want to convert it to
Maketrans (and translate) then convert to ascii:
intab = u'áéí' # extend as needed
outtab = u'aei' # as well as this one
table = maketrans(intab, outtab)
text = translate(u"Wikipédia, le projet d’encyclopédie", table)
try:
temp = unicode(text, "utf-8")
fixed = unicodedata.normalize('NFKD', temp).encode('ASCII', action)
return fixed
except Exception, errorInfo:
print errorInfo
print "Unable to convert the Unicode characters to xml character entities"
raise errorInfo
(from here)
Package unihandecode is
US-ASCII transliterations of Unicode text.
an improved version of Python unidecode, that is Python port of Text::Unidecode Perl module by Sean M. Burke .
pip install Unihandecode
then in python
import unihandecode
print(unihandecode.unidecode(u'Wikipédia, le projet d’encyclopédie'))
prints Wikipedia, le projet d'encyclopedie
.
Without measuring, I would expect that the .translate method of Unicode strings is the fastest solution. You should definitely make your own measurements, though.
So here are three approaches, more or less as given or suggested in other answers:
# -*- coding: utf-8 -*-
import codecs
import unicodedata
x = u"Wikipédia, le projet d’encyclopédie"
xtd = {ord(u'’'): u"'", ord(u'é'): u'e', }
def asciify(error):
return xtd[ord(error.object[error.start])], error.end
codecs.register_error('asciify', asciify)
def ae():
return x.encode('ascii', 'asciify')
def ud():
return unicodedata.normalize('NFKD', x).encode('ASCII', 'ignore')
def tr():
return x.translate(xtd)
if __name__ == '__main__':
print 'or:', x
print 'ae:', ae()
print 'ud:', ud()
print 'tr:', tr()
Run as main, this emits:
or: Wikipédia, le projet d’encyclopédie
ae: Wikipedia, le projet d'encyclopedie
ud: Wikipedia, le projet dencyclopedie
tr: Wikipedia, le projet d'encyclopedie
showing clearly that the unicodedata-based approach, while it does have the convenience of not needing a translation map xtd
, can't translate all characters properly in an automated fashion (it works for accented letters but not for the reverse-apostrophe), so it would also need some auxiliary step to deal explicitly with those (no doubt before what's now its body).
Performance is also interesting. On my laptop with Mac OS X 10.5 and system Python 2.5, quite repeatably:
$ python -mtimeit -s'import a' 'a.ae()'
100000 loops, best of 3: 7.5 usec per loop
$ python -mtimeit -s'import a' 'a.ud()'
100000 loops, best of 3: 3.66 usec per loop
$ python -mtimeit -s'import a' 'a.tr()'
10000 loops, best of 3: 21.4 usec per loop
translate
is surprisingly slow (relative to the other approaches). I believe the issue is that the dict is looked into for every character in the translate
case (and most are not there), but only for those few characters that ARE there with the asciify
approach.
So for completeness here's "beefed-up unicodedata" approach:
specstd = {ord(u'’'): u"'", }
def specials(error):
return specstd.get(ord(error.object[error.start]), u''), error.end
codecs.register_error('specials', specials)
def bu():
return unicodedata.normalize('NFKD', x).encode('ASCII', 'specials')
this gives the right output, BUT:
$ python -mtimeit -s'import a' 'a.bu()'
100000 loops, best of 3: 10.7 usec per loop
...speed isn't all that good any more. So, if speed matters, it's no doubt worth the trouble of making a complete xtd
translation dict and using the asciify
approach. When a few extra microseconds per translation are no big deal, one might want to consider the bu
approach simply for its convenience (only needs a translation dict for, hopefully few, special characters that don't translate correctly with the underlying unicodedata idea).
The awesome unidecode module does this for you:
>>> import unidecode
>>> n = unicode('Wikipédia, le projet d’encyclopédie','utf-8')
>>> unidecode.unidecode(n)
"Wikipedia, le projet d'encyclopedie"
The "correct" way to do this is to register your own error handler for unicode encoding/decoding, and in that error handler provide the replacements from è to e and ö to o, etc.
Like so:
# -*- coding: UTF-8 -*-
import codecs
map = {u'é': u'e',
u'’': u"'",
# ETC
}
def asciify(error):
return map[error.object[error.start]], error.end
codecs.register_error('asciify', asciify)
test = u'Wikipédia, le projet d’encyclopédie'
print test.encode('ascii', 'asciify')
You might also find something in IBM's ICU library and it's Python bindings PyICU, though, it might be less work.