Extract information from a list of dictionaries

Question

I have a list of dictionaries:

movies['genres'].head()

where each line looks like:

   0     [{'id': 16, 'name': 'Animation'}, {'id': 35, 'name': 'Comedy'}, {'id': 10751, 'name': 'Family'}]
1    [{'id': 12, 'name': 'Adventure'}, {'id': 14, 'name': 'Fantasy'}, {'id': 10751, 'name': 'Family'}]
2                                     [{'id': 10749, 'name': 'Romance'}, {'id': 35, 'name': 'Comedy'}]
3        [{'id': 35, 'name': 'Comedy'}, {'id': 18, 'name': 'Drama'}, {'id': 10749, 'name': 'Romance'}]
4                                                                       [{'id': 35, 'name': 'Comedy'}]
Name: genres, dtype: object  

     

I would like to save it in a data frame where one column is 'id' and the rows are the id values and another column 'name' where the rows are the name values. I tried with:

pd.DataFrame(movies['genres'])

However when I ran it I obtained:

        genres
0   [{'id': 16, 'name': 'Animation'}, {'id': 35, 'name': 'Comedy'}, {'id': 10751, 'name': 'Family'}]
1   [{'id': 12, 'name': 'Adventure'}, {'id': 14, 'name': 'Fantasy'}, {'id': 10751, 'name': 'Family'}]
2   [{'id': 10749, 'name': 'Romance'}, {'id': 35, 'name': 'Comedy'}]

Could you help me? Regards

Answer 1

You should use the command .from_dict() as described here

df = pd.DataFrame.from_dict(movies["genres"])