Answers for "how to turn a column of values into their own column in pandas"

dataframe change column value

df["column1"].replace({"a": "x", "b": "y"}, inplace=True)

How to Create new dataframe columns from existing column

new_df = df.filter(like='n_') 
           .replace(0., np.inf) 
           .apply(lambda x: sorted(x), axis=1, result_type='expand') 
           .replace(np.inf, 0.0)

new_df.columns = ['new_1', 'new_2', 'new_3']

out = pd.concat([df, new_df], axis=1)