How to convert a string list to (object) list in Pandas?

I have the dictionary below in which the values are string type:

data = {'object_1':"['abc']",
'object_2':"['def']",
"object_3": "['xyz']",
"object_4": "['abc']"}

I want to convert the values of the dictionary from a string type to a list type. I tried to use literal_eval and eval() but without any success to get pure python lists:

Desired output:

data = {'object_1':['abc'],
'object_2':['def'],
"object_3": ['xyz'],
"object_4": ['abc']}

Thanks for any advice.

If I understood correctly, you want to convert the dict values from a string "['def']" to a list containing a string ['def'], right? If that is the case you can do it with regex logic.

import re 

data = {'object_1':"['abc']",
'object_2':"['def']",
"object_3": "['xyz']",
"object_4": "['abc']"}

exclude_brackets_quotes = lambda args: (args[0], [re.sub("[\[\]']", "", args[1])])

converted_data = dict(map(exclude_brackets_quotes, data.items()))
converted_data

This outputs

{'object_1': ['abc'],
 'object_2': ['def'],
 'object_3': ['xyz'],
 'object_4': ['abc']}

Try to use ast.literal_eval this way:

import ast

converted_data = {key: ast.literal_eval(value) for key, value in data.items()}

Another solution is to use strip like so:

converted_data = {key: [value.strip("[]'")] for key, value in data.items()}

saving the pandas file with different separator saved the day.