Pandas Select Unique Values From Column
I was able to ingest a csv in jupyter notes by doing this : csvData= pd.read_csv('logfile.csv') My data looks like this: event_timestamp ip url 2018-01-10 00:00 111.111.111.111
Solution 1:
You need to select the column correctly then apply unique
csvData['ip'].unique().tolist()
Out[677]: ['111.111.111.111', '222.222.222.222']
Solution 2:
The reason why you are running into this problem is because pd.read_csv("logfile.csv").unique()
is not a valid attribute from DataFrame. What I suggest you do is since csvData comes out as a list, you can search for all ip's by csvData['ip']
then search for unique ip's with csvData['ip'].unique()
.
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