在删除字符串之前检查字符串中是否存在子字符串(在我的例子中是空格),或者说全局使用 relace() 会更快;
用例:
a = ['452 04','45204','455 04','88804']
for i,e in enumerate(a):
if re.search(r"\s", e):
a[i] = e.replace(' ','')
也欢迎任何其他建议。
请您参考如下方法:
import re
def with_re_search():
a = ['452 04','45204','455 04','88804']
for i,e in enumerate(a):
if re.search(r"\s", e):
a[i] = e.replace(' ','')
def with_in():
a = ['452 04','45204','455 04','88804']
for i,e in enumerate(a):
if ' ' in e:
a[i] = e.replace(' ','')
def without_search():
a = ['452 04','45204','455 04','88804']
for i,e in enumerate(a):
a[i] = e.replace(' ','')
def with_translate():
a = ['452 04','45204','455 04','88804']
for i, e in enumerate(a):
a[i] = e.translate(None,'')
from timeit import timeit as t
n = 1000000
t('f()', setup='from __main__ import with_re_search as f', number=n) # 5.37417006493
t('f()', setup='from __main__ import with_in as f', number=n) # 1.04646992683
t('f()', setup='from __main__ import without_search as f', number=n) # 1.2475438118
t('f()', setup='from __main__ import with_translate as f', number=n) # 1.56214690208
使用 re.search 绝对比其他选项慢。
这是在 CPython 2.7.3、Ubuntu Linux 12.10 64 位中完成的。
更新:在 CPython 3.3.0(同一台机器)中。
t('f()', setup='from __main__ import with_re_search as f', number=n) # 24.345079875027295
t('f()', setup='from __main__ import with_in as f', number=n) # 1.1399168980424292
t('f()', setup='from __main__ import without_search as f', number=n) # 1.3967725560069084
注意 无法为 str.translate 计时,因为 str.translate在 Python 3 中不接受 deletechars 参数。
