Python How to extract specified string within [ ] brackets in pandas dataframe and create a new column with boolean values -

i'm new programming , appreciate of insights!

i have data frame this.

df;

            info                price   0   [100:sailing]                $100 1   [150:boating, 100:sailing]   $200 2   [200:surfing]                $300 

i create new columns activity names based on information in info column , add 1 in new column if there corresponding name in info column. going dataframe below.

   price  sailing  boating  surfing 0   $100       1         0        0 1   $200       1         1        0 2   $300       0         0        1 

i tried code blow did not work..(eventhough approach works in other columns)

df1 = df.info.str.extract(r'(boating|sailing|surfing)',expand=false) df2 = pd.concat([df,pd.get_dummies(df1).astype(int)],axis=1) 

i have on 10 thousands of data idealy write code automatically extract specified string (like surfing) in info column, create new column activity name , return 1 or 0 shown above. thought maybe brackets in data or data type in dataframe causing problem, not sure how tackle this..

i assumed format of values in info column python list.

df1 = df['info'].str[1:-1].str.replace(' ', '').str.get_dummies(',') df1.rename(columns=lambda x: x.rsplit(':')[-1], inplace=true) df2 = pd.concat([df, df1.astype(int)], axis=1)  df2 out:                           info price  sailing  boating  surfing 0               [100:sailing]  $100        1        0        0 1  [150:boating, 100:sailing]  $200        1        1        0 2               [200:surfing]  $300        0        0        1