groupby(iterable[, keyfunc]) -> create an iterator which returns
(key, sub-iterator) grouped by each value of key(value).
Docstring:
S.isalpha() -> bool
Return True if all characters in S are alphabetic
and there is at least one character in S, False otherwise.
In [1]: from itertools import groupby
In [2]: s = "125A12C15"
In [3]: [''.join(g) for _, g in groupby(s, str.isalpha)]
Out[3]: ['125', 'A', '12', 'C', '15']
In [4]: import re
In [5]: re.findall('\d+|\D+', s)
Out[5]: ['125', 'A', '12', 'C', '15']
In [6]: re.split('(\d+)', s) # note that you may have to filter out the empty
# strings at the start/end if using re.split
Out[6]: ['', '125', 'A', '12', 'C', '15', '']
In [7]: re.split('(\D+)', s)
Out[7]: ['125', 'A', '12', 'C', '15']
至于性能,使用regex可能更快:
In [8]: %timeit re.findall('\d+|\D+', s*1000)
100 loops, best of 3: 2.15 ms per loop
In [9]: %timeit [''.join(g) for _, g in groupby(s*1000, str.isalpha)]
100 loops, best of 3: 8.5 ms per loop
In [10]: %timeit re.split('(\d+)', s*1000)
1000 loops, best of 3: 1.43 ms per loop
将^{} 与^{} 方法一起使用:
或者可能来自regular expressions module的
re.findall
或re.split
:至于性能,使用regex可能更快:
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