How to split a column from a DataFrame?

Question

I am trying to split a column from a Data frame. I know this can be easily achieved using str.split(), but when I split it should return 7 columns, but it only return the first column.

This is the column I am trying to split:

print(df1['Genres'])

 0                                          ['Drama']
 1                                 ['Crime', 'Drama']
 2                                 ['Crime', 'Drama']
 3           ['Action', 'Crime', 'Drama', 'Thriller']
 4                                 ['Crime', 'Drama']
                           ...                 

And this is my code so far:

df1 = pd.DataFrame(pd.read_csv('Dataset01.csv'))

df1['Genres'] = df1['Genres'].map(lambda x: x.lstrip("["))
df1['Genres'] = df1['Genres'].map(lambda x: x.rstrip("]"))
df1['Genres'] = df1['Genres'].str.replace("'", '')

df1['Genres'] = df1['Genres'].str.split(",", expand=True)

df1 

I only get the column with the first values:

print(df1['Genres'])

0          Drama
1          Crime
2          Crime
3         Action
4          Crime
         ...   

This is how the DataFrame looks like after I run the code: DataFrame

As you can see it only returns one column

Is there something else I can do to split the columns? Or is there something I can do to fix that?

Thanks

Answer 1

Try with ast.literal_eval then explode

import ast 
df1['Genres'].map(ast.literal_eval).explode()