windows event log message conversion to dictionary then to pandas columns
You can use yaml
, which add None
values if missing value
in dict
and then remove all None
pairs:
print (df) message0 {'a':'none','b':'2', ' token.', ' type 1'}import yamlprint (df.message.apply(yaml.load))0 {' token.': None, ' type 1': None, 'b': '2', ...Name: message, dtype: objectdf.message = df.message.apply(lambda x: {k: v for k, v in yaml.load(x).items() if v})print (df) message0 {'b': '2', 'a': 'none'}
With your data:
df = pd.DataFrame({'message':["{'subject':'none', 'security id':'s-1-5-12', 'account name':'myaccountname','account domain':'domain', 'logon id':'0x3e6', ' process information':'none', 'new process id':'0x1a53', 'new process name':'c:\windows\system32\ipconfig.exe', 'token elevation type':'%%1932', 'creator process id':'0x1b33','process command line':'none', ' token elevation type indicates the type of token that was assigned to the new process in accordance with user account control policy.', ' type 1 is a full token with no privileges removed or groups disabled. a full token is only used if user account control is disabled or if the user is the built-in administrator account or a service account.', ' type 2 is an elevated token with no privileges removed or groups disabled. an elevated token is used when user account control is enabled and the user chooses to start the program using run as administrator. an elevated token is also used when an application is configured to always require administrative privilege or to always require maimum privilege', ' and the user is a member of the administrators group.',' type 3 is a limited token with administrative privileges removed and administrative groups disabled. the limited token is used when user account control is enabled', ' the application does not require administrative privilege', ' and the user does not choose to start the program using run as administrator.'}"]})
import yamldf.message = df.message.apply(lambda x: {k: v for k, v in yaml.load(x).items() if v})df1 = pd.DataFrame(df.pop('message').values.tolist(), index=df.index)print (df1) process information account domain account name creator process id \0 none domain myaccountname 0x1b33 logon id new process id new process name \0 0x3e6 0x1a53 c:\windows\system32\ipconfig.exe process command line security id subject token elevation type 0 none s-1-5-12 none %%1932
EDIT:
import yamldf.message=df.message.str[0].apply(lambda x:{k:v for k,v in yaml.load('{'+x+'}').items() if v})df1 = pd.DataFrame(df.pop('message').values.tolist(), index=df.index)print (df1) process information account domain account name creator process id \0 none domain myaccountname 0x1b33 logon id new process id new process name \0 0x3e6 0x1a53 c:\windows\system32\ipconfig.exe process command line security id subject token elevation type 0 none s-1-5-12 none %%1932