[英]Regex: How to capture words with spaces/hyphens excluding numbers?
I have a dataset that looks like this: 我有一个看起来像这样的数据集:
Column1
-------
abcd - efghi 1234
aasdas - asdas 54321
asda-asd 2344
aasdas(asd) 5234
I want to be able to pull everything out that will exclude a number so it will look like this: 我希望能够提取出排除数字的所有内容,因此它看起来像这样:
Column2
-------
abcd - efghi
aasdas - asdas
asda-asd
aasdas(asd)
This is my current regex: 这是我当前的正则表达式:
df['Column2'] = df['Column1'].str.extract('([A-Z]\w{0,})', expand=True)
But it only extracts out the first word that excludes parenthesis and hyphens. 但是它只会提取出不包括括号和连字符的第一个单词。 Any help will be appreciated...thank you!
任何帮助将不胜感激...谢谢!
Like using replace
喜欢使用
replace
df.Column1.str.replace('\d+','')
Out[775]:
0 abcd-efghi
1 aasdas-asdas
2 asda-asd
3 aasdas(asd)
Name: Column1, dtype: object
#df.Column1=df.Column1.str.replace('\d+','')
Just removing numbers will leave you with unwanted space characters. 仅删除数字会留下多余的空格字符。
This list comprehension removes all digits and keeps space characters, but removes them on the outside. 此列表理解将删除所有数字并保留空格字符,但在外部将其删除。
df['Column2'] = df['Column1'].apply(
lambda x: ''.join([i for i in x if not i.isdigit()]).strip())
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