我想提取一个字符串中包含的所有数字。正则表达式和isdigit()方法哪个更适合这个目的?
例子:
line = "hello 12 hi 89"
结果:
[12, 89]
我想提取一个字符串中包含的所有数字。正则表达式和isdigit()方法哪个更适合这个目的?
例子:
line = "hello 12 hi 89"
结果:
[12, 89]
当前回答
我发现的最干净的方法是:
>>> data = 'hs122 125 &55,58, 25'
>>> new_data = ''.join((ch if ch in '0123456789.-e' else ' ') for ch in data)
>>> numbers = [i for i in new_data.split()]
>>> print(numbers)
['122', '125', '55', '58', '25']
或:
>>> import re
>>> data = 'hs122 125 &55,58, 25'
>>> numbers = re.findall(r'\d+', data)
>>> print(numbers)
['122', '125', '55', '58', '25']
其他回答
line2 = "hello 12 hi 89" # this is the given string
temp1 = re.findall(r'\d+', line2) # find number of digits through regular expression
res2 = list(map(int, temp1))
print(res2)
可以使用findall表达式通过digit搜索字符串中的所有整数。
在第二步中,创建一个列表res2,并将string中找到的数字添加到该列表中。
这有点晚了,但是您也可以扩展正则表达式来考虑科学符号。
import re
# Format is [(<string>, <expected output>), ...]
ss = [("apple-12.34 ba33na fanc-14.23e-2yapple+45e5+67.56E+3",
['-12.34', '33', '-14.23e-2', '+45e5', '+67.56E+3']),
('hello X42 I\'m a Y-32.35 string Z30',
['42', '-32.35', '30']),
('he33llo 42 I\'m a 32 string -30',
['33', '42', '32', '-30']),
('h3110 23 cat 444.4 rabbit 11 2 dog',
['3110', '23', '444.4', '11', '2']),
('hello 12 hi 89',
['12', '89']),
('4',
['4']),
('I like 74,600 commas not,500',
['74,600', '500']),
('I like bad math 1+2=.001',
['1', '+2', '.001'])]
for s, r in ss:
rr = re.findall("[-+]?[.]?[\d]+(?:,\d\d\d)*[\.]?\d*(?:[eE][-+]?\d+)?", s)
if rr == r:
print('GOOD')
else:
print('WRONG', rr, 'should be', r)
给予一切美好!
此外,您还可以查看AWS Glue内置正则表达式
我将使用regexp:
>>> import re
>>> re.findall(r'\d+', "hello 42 I'm a 32 string 30")
['42', '32', '30']
这也匹配bla42bla中的42。如果你只想用单词边界(空格,句号,逗号)分隔数字,你可以使用\b:
>>> re.findall(r'\b\d+\b', "he33llo 42 I'm a 32 string 30")
['42', '32', '30']
以数字列表而不是字符串列表结束:
>>> [int(s) for s in re.findall(r'\b\d+\b', "he33llo 42 I'm a 32 string 30")]
[42, 32, 30]
注意:这对负整数不起作用
我发现的最干净的方法是:
>>> data = 'hs122 125 &55,58, 25'
>>> new_data = ''.join((ch if ch in '0123456789.-e' else ' ') for ch in data)
>>> numbers = [i for i in new_data.split()]
>>> print(numbers)
['122', '125', '55', '58', '25']
或:
>>> import re
>>> data = 'hs122 125 &55,58, 25'
>>> numbers = re.findall(r'\d+', data)
>>> print(numbers)
['122', '125', '55', '58', '25']
我找到的最佳选择如下。它将提取一个数字,并可以消除任何类型的字符。
def extract_nbr(input_str):
if input_str is None or input_str == '':
return 0
out_number = ''
for ele in input_str:
if ele.isdigit():
out_number += ele
return float(out_number)