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How can I get the specific strings in column value

Time:12-18

what I want to do is delete certain parts of a string and take the only near of AcoS and insert it into a new column.

import pandas as pd


data = [{"Campaign" : "Sf l Spy l Branded l ACoS 20 l Manual NX"}]
df = pd.DataFrame(data)
df.insert(1,"targetAcos", 0)
df["targetAcos"] = df["Campaign"].str.replace(r' l ACoS \(.*)\l', r'\1', regex=True)

print(df["targetAcos"])

But I guess I am kinda bad at this, I couldn't make it correctly so I hope you guys can explain how can you do.

CodePudding user response:

I think the Pandas function you want to be using here is str.extract:

df["targetAcos"] = df["Campaign"].str.extract(r'\bl ACoS (\d ) l')

Or perhaps a more generic regex would be:

df["targetAcos"] = df["Campaign"].str.extract(r'\bACoS (\d )\b')
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