>>>> pats = ['abcdef', 'defgef', 'effwer']
>>>> reps = ['highway', 'news', 'monitor']
>>>> s = 'defgefabcdefyuuuu\n\n\n effwerbyuuuterrfr'
>>>> reduce(lambda x,y: x.replace(*y), zip(pats,reps), s)
The reduce() method fairly works well if you have it as a
dictionary as well:
>>> m = {'effwer': 'monitor', 'abcdef': 'highway', 'defgef': 'news'}
>>> s = 'defgefabcdefyuuuu\n\n\n effwerbyuuuterrfr'
>>> reduce(lambda x,y: x.replace(y, m[y]), m.keys(), s)
'newshighwayyuuuu\n\n\n monitorbyuuuterrfr'
One does get somewhat unpredictable results if one of the
replacements contains a target search pattern (or creates it in
the resulting string):
>>> s = 'onetwothree'
>>> m = {'one':'two', 'two':'three', 'three':'one'}
>>> reduce(lambda x,y: x.replace(y, m[y]), m.keys(),s)
'twothreetwo'
>>> m['three'] = 'four'
>>> m['four'] = 'two'
>>> reduce(lambda x,y: x.replace(y, m[y]), m.keys(),s)
'twothreefour'
Just a few more ideas...
-tkc
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