在数据框的整个列中应用正则表达式 [英] Applying Regex across entire column of a Dataframe

问题描述

我有一个包含 3 列的数据框:

I have a Dataframe with 3 columns:

id,name,team 
101,kevin, marketing
102,scott,admin\n
103,peter,finance\n

我正在尝试应用正则表达式函数，以便删除不必要的空格.我有删除这些空格的代码，但我无法在整个 Dataframe 中循环它.

I am trying to apply a regex function such that I remove the unnecessary spaces. I have got the code that removes these spaces how ever I am unable loop it through the entire Dataframe.

这是我迄今为止尝试过的:

This is what I have tried thus far:

df['team'] = re.sub(r'[\n\r]*','',df['team'])

但这会引发错误 AttributeError: 'Series' object has no attribute 're'

谁能建议我如何在整个 Dataframe df['team'] 列中循环这个正则表达式

Could anyone advice how could I loop this regex through the entire Dataframe df['team'] column

推荐答案

大功告成，有两种简单的方法可以做到:

You are almost there, there are two simple ways of doing this:

# option 1 - faster way
df['team'] =  [re.sub(r'[\n\r]*','', str(x)) for x in df['team']]

# option 2
df['team'] =  df['team'].apply(lambda x: re.sub(r'[\n\r]*','', str(x)))

这篇关于在数据框的整个列中应用正则表达式的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！