'Looking to take values that are 'Not given' in a column, clip the info and create a new column just with the data that is 'Not given'
I've tried the below; however, haven't been successful. Do I have to convert these values Not given into NaN and then try to move? Would groupby be helpful here? I'm a bit new to python so still learning.
Rating is type object with a few numerical values and Not given.
df['not_given_rating'] = np.clip(df.loc[df['rating'] == "Not given"])
df['not_given_rating'] = df.loc[df['rating'] == "Not given"]
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