从 Pandas 列中删除时间戳

Question

I'm working with the following DataFrame column containing Date |TimeStamp | Name | Message Date |TimeStamp | Name | Message Date |TimeStamp | Name | Message as a string

59770        [08/10/18, 5:57:43 PM] Luke: Message
59771   [08/10/18, 5:57:48 PM] Luke: Message
59772     [08/10/18, 5:57:50 PM] Luke: Message

I'm trying to remove the timestamp from the column and my expected output is:

59770   Luke: Message
59771   Luke: Message
59772   Luke: Message

I tried using

import re
df.iloc[:,0] = list(map(lambda x : re.sub(".*\d:\d\d\s[a|p]m","", x)[12:],df.iloc[:,0]))

But since the length of each string is different this method makes makes it worse.

Please Advise.

Answer 1

You can use the extract string function. A couple of options depending on quite how you want to have the results.

df = pd.DataFrame({'text':['5:57:43 PM] Luke: Message',
                           '5:57:48 PM] Luke: Message',
                           '5:57:50 PM] Luke: Message']})

import re
import pandas as pd

df['text'].str.extract(r'\s*(.{10})](.*)')

            0               1
0  5:57:43 PM   Luke: Message
1  5:57:48 PM   Luke: Message
2  5:57:50 PM   Luke: Message

Or if you want the name and messages separate:

df['text'].str.extract(r'\s*(.{10})](.*):(.*)')

            0      1         2
0  5:57:43 PM   Luke   Message
1  5:57:48 PM   Luke   Message
2  5:57:50 PM   Luke   Message