英文:
Creating a new column by parsing json column
问题
我想要为“Type”创建一个新列来存储值 - "webfile"，"app" 等。我运行了下面的代码：
df_test["new_col"]=df_test['Vals'].apply(lambda x: x['Type'] if 'Type' in x else None)
但是出现了错误：
TypeError: list indices must be integers or slices, not str
有人可以帮忙吗？
英文:
I have dataframe with one json (Vals) column:
Identity Vals
2fc9d38d-0fe4-c7be {"$id":"2","Address":"22.44","Location":{"Code":"TN"},"Asset":false,"Roles":["A"],"Type":"webfile"}
abd77d57ac29 {"$id":"3","Address":"40.1","Location":{"Code":"SS"},"Asset":false,"Roles":["Attacker"],"Type":"webfile"}
c7be-4a37 {"$id":"4","AppId":11161,"SaasId":11161,"Name":"Office 365","InstanceId":0,"Type":"app"}
916a-8051-8fd1721385ae {"$id":"3","Address":"213.85","Asset":false,"Roles":["tm"],"Type":"webfile"}
8051-8fd1721385ae {"$id":"4","Address":"198.137","Asset":false,"Roles":["Contextual"],"Type":"webfile"}
8fd1721385ae {"$id":"5","AppId":26324,"sId":26324,"Name":"MB","InstanceId":0,"Type":"app"}
58a51721385ae {"$id":"6","Address":".225.0","Asset":false,"Roles":["Contextual"],"Type":"webfile"}
964fb17e-a352-dbd4-d5b7-374172d811aa {"$id":"2","Name":"AD561-SA","DisplayName":"AD561-SA","Type":"account"}
I want to create a new column for "Type" to hold values - "webfile","app" etc. Ran the code below :
df_test["new_col"]=df_test['Vals'].apply(lambda x: x['Type'] if 'Type' in x else None)
But getting error
TypeError: list indices must be integers or slices, not str
Can someone help ?
答案1
得分: 3
import json
df_test['Type'] = pd.json_normalize(df_test['Vals'].apply(json.loads))['Type']
输出:
>>> df_test[['Identity', 'Type']]
Identity Type
0 2fc9d38d-0fe4-c7be webfile
1 abd77d57ac29 webfile
2 c7be-4a37 app
3 916a-8051-8fd1721385ae webfile
4 8051-8fd1721385ae webfile
5 8fd1721385ae app
6 58a51721385ae webfile
7 964fb17e-a352-dbd4-d5b7-374172d811aa account
英文:
As your Vals column contains JSON string, you have to decode first before extract Type field:
import json
df_test['Type'] = pd.json_normalize(df_test['Vals'].apply(json.loads))['Type']
Output:
>>> df_test[['Identity', 'Type']]
Identity Type
0 2fc9d38d-0fe4-c7be webfile
1 abd77d57ac29 webfile
2 c7be-4a37 app
3 916a-8051-8fd1721385ae webfile
4 8051-8fd1721385ae webfile
5 8fd1721385ae app
6 58a51721385ae webfile
7 964fb17e-a352-dbd4-d5b7-374172d811aa account
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