nested dictionary find specific values from keys

How to get a value using keys in a nested dictionary in a specific context. Like as follows:

The nested dictionary is something like:

my_dict = { 'name': {0: 'alisa',1: 'monica',2: 'jessica'},
            'location': {0: 'america',1: 'canada',2: 'korea'},
            'age': {0: '22',1: '23',2: '24'}}

If the list is given with the values [0], [1], and [1], then the output has to be shown as ‘alisa’, ‘canada’ and ’23’.

Answer

You can zip the dictionary values and the list of keys to form the list:

my_dict = { 'name': {0: 'alisa',1: 'monica',2: 'jessica'},
            'location': {0: 'america',1: 'canada',2: 'korea'},
            'age': {0: '22',1: '23',2: '24'}}

keys   = [0,1,1]
result = [d[k] for d,k in zip(my_dict.values(),keys)]
# ['alisa', 'canada', '23']

Note that [0][1][1] is not a valid Python data structure. If you are receiving this as a string, you will need to convert it to a list of numbers (e.g. keys = map(int,string[1:-1].split("][")) )