Python将字符串转换为忽略特殊字符的列表

Question

I am having a string as :-

'Current Weather\n\t\n\n\t\t12:36 AM\n\t\n\n\n\n\t\t\t22°\n\t\t\n\n\t\t\t\tC\n\t\t\t\n\n\n\t\tRealFeel®\n\t\t20°\n\t\n\n\t\tMostly clear'

I want to convert it into a list as :-

['Current Weather','12:36 AM','22°','C','RealFeel®','20°','Mostly clear']

Is there any python module or function with which I can do so?

Answer 1

You can use re.split :

import re

s = 'Current Weather\n\t\n.....t\tMostly clear'
re.split(r'[\n\t]+', s)

Output:

['Current Weather', '12:36 AM', '22°', 'C', 'RealFeel®', '20°', 'Mostly clear']

Answer 2

Why is everybody using re ? This library is very slow.You can just use str.split ,if you use it with arguments,you will have to do the str.isspace by hand,but it's still pretty fast,this is the code:

>>> [i.strip() for i in s.split('\n\t') if not i.isspace()]
['Current Weather', '12:36 AM', '22°', 'C', 'RealFeel®', '20°', 'Mostly clear']

Benchmarks:

>>> timeit.timeit(r"re.split(r'[\n\t]+', s)",r"""
import re
s = 'Current Weather\n\t\n\n\t\t12:36 AM\n\t\n\n\n\n\t\t\t22°\n\t\t\n\n\t\t\t\tC\n\t\t\t\n\n\n\t\tRealFeel®\n\t\t20°\n\t\n\n\t\tMostly clear'
""")
2.8587728
timeit.timeit(r"[i.strip() for i in s.split('\n\t') if not i.isspace()]",r"""import re

s = 'Current Weather\n\t\n\n\t\t12:36 AM\n\t\n\n\n\n\t\t\t22°\n\t\t\n\n\t\t\t\tC\n\t\t\t\n\n\n\t\tRealFeel®\n\t\t20°\n\t\n\n\t\tMostly clear'
""")
1.8853902

Answer 3

Without regex:

[x.strip() for x in st.splitlines() if x.strip()!= '']

---

output:

['Current Weather', '12:36 AM', '22°', 'C', 'RealFeel®', '20°', 'Mostly clear']

Answer 4

You could use Python regex. Here is an example:

import re
def sentance_to_list(sentence):
ls=re.split(r'["\t|\n"]\s*', sentence)   # split \t or \n
return ls

strr='Current Weather\n\t\n\n\t\t12:36 AM\n\t\n\n\n\n\t\t\t22°\n\t\t\n\n\t\t\t\tC\n\t\t\t\n\n\n\t\tRealFeel®\n\t\t20°\n\t\n\n\t\tMostly clear'
newstrr=sentance_to_list(strr)
print(newstrr) 

output:

['Current Weather', '12:36 AM', '22°', 'C', 'RealFeel®', '20°', 'Mostly clear']

You could read more on re https://docs.python.org/3/library/re.html