Find and delete above a certain line in text file

[snippsat]

Is it better to make a column of strings and then convert to datetime? I assumed that is what happens here:

I could have done it one step,which would have saved me a line.
Looking at it again so is your post #8 fine,just grab a datetime object and use it filtering is good👍
I was more thinking about post #2 where you did use datetime from standard library.

So update make code to use one step and as a example doing it the other way around dropping DateTime if want the original split in Date and Time.

import pandas as pd
from io import StringIO

data = """\
3/8/22, 4:06 PM, String Value
3/8/22, 4:12 PM, String Value
3/8/22, 4:12 PM, String Value
3/8/22, 4:13 PM, String Value
3/8/22, 4:14 PM, String Value
3/8/22, 4:14 PM, String Value
3/8/22, 4:15 PM, String Value
3/8/22, 4:15 PM, String Value
3/8/22, 4:15 PM, String Value
3/8/22, 4:15 PM, String Value
3/8/22, 4:17 PM, String Value
3/8/22, 4:17 PM, String Value"""

df = pd.read_csv(StringIO(data), sep=",", names=["Date", "Time", "Comment"])
df['DateTime'] = pd.to_datetime(df["Date"] + df["Time"])
mask = (df['DateTime'] > '2022-03-08 16:06:00') & (df['DateTime'] >= '2022-03-08 16:15:00')
df_new = df.loc[mask]
df_new = df_new.drop(columns=['DateTime'])
print(df_new)

Output:
      Date      Time        Comment
6   3/8/22   4:15 PM   String Value
7   3/8/22   4:15 PM   String Value
8   3/8/22   4:15 PM   String Value
9   3/8/22   4:15 PM   String Value
10  3/8/22   4:17 PM   String Value
11  3/8/22   4:17 PM   String Value