>我有一个数据帧，其中一列包含格式的JSON，其中一条记录看起来像 -
player_feedback
{'player': '1b87a117-09ef-41e2-8710-6bc144760a74',
'feedback': [{'answer': [{'id': '1-6gaincareerinfo', 'content': 'To gain career information'},
{'id': '1-5proveskills', 'content': 'Opportunity to prove skills by competing '},
{'id': '1-1diff', 'content': 'Try something different'}], 'question': 1},
{'answer': [{'id': '2-2skilldev', 'content': 'Skill development'}], 'question': 2},
{'answer': [{'id': '3-6exploit', 'content': 'Exploitation'},
{'id': '3-1forensics', 'content': 'Forensics'}], 'question': 3},
{'answer': 'verygood', 'question': 4},
{'answer': 'poor', 'question': 5}, ... ... ,
{'answer': 'verygood', 'question': 15}]}
以下是数据的前 5 行。 我想将此列转换为单独的列，例如 -
player Question 1 Question 2 ... Question 15
1b87a117-09ef-41e2-8710-6bc144760a74 To gain career information, Skill development verygood
Opportunity to prove skills by competing,
Try something different
我从——
df_survey_responses['player_feedback'].apply(ast.literal_eval).values.tolist()
但这只会让我在单独的字段中获得playerID，并在另一个字段中获得反馈。据我所知，JSONNormalize也会给我类似的结果。如何递归执行此操作以获得所需的结果，还是更好的方法？
谢谢！
您可以使用 json 扁平化器来喜欢这个：
def flatten_json(nested_json):
"""
Flatten json object with nested keys into a single level.
Args:
nested_json: A nested json object.
Returns:
The flattened json object if successful, None otherwise.
"""
out = {}
def flatten(x, name=''):
if type(x) is dict:
for a in x:
flatten(x[a], name + a + '_')
elif type(x) is list:
i = 0
for a in x:
flatten(a, name + str(i) + '_')
i += 1
else:
out[name[:-1]] = x
flatten(nested_json)
return out
它给出的数据帧如下所示：
0
player 34a8eb8a-056f-4568-88dc-8736056819a3
feedback_0_answer_0_id 1-5proveskills
feedback_0_answer_0_content Opportunity to prove skills by competing
feedback_0_question 1
feedback_1_answer_0_id 2-1networking
feedback_1_answer_0_content Networking
feedback_1_answer_1_id 2-2skilldev
feedback_1_answer_1_content Skill development
feedback_1_question 2
feedback_2_answer_0_id 3-5boottoroot
feedback_2_answer_0_content Boot2root
feedback_2_answer_1_id 3-6exploit
feedback_2_answer_1_content Exploitation
feedback_2_question 3
feedback_3_answer good
feedback_3_question 4
feedback_4_answer good
feedback_4_question 5
feedback_5_answer selfchose
feedback_5_question 6
feedback_6_answer pairs
feedback_6_question 7
feedback_7_answer_0_id 7-persistence
feedback_7_answer_0_content Persistence
feedback_7_question 8
feedback_8_answer social
feedback_8_question 9
feedback_9_answer training
feedback_9_question 10
feedback_10_answer yes
feedback_10_question 11
feedback_11_answer yes
feedback_11_question 12
feedback_12_answer yes
feedback_12_question 13
feedback_13_answer yes
feedback_13_question 14
feedback_14_answer verygood
feedback_14_question 15
feedback_15_answer yes
feedback_15_question 16
feedback_16_answer yes
feedback_16_question 17
feedback_17_answer It would be good to have more exploitation one...
feedback_17_question 18