4
votes

I have some entries from users and how many interactions this user had on my website...

I have 340k rows and 70+ columns, and I want to use Vaex, but I'm having problems to do simple things like to drop duplicates.

Could someone help me on how to do it?

import pandas as pd

df = pd.DataFrame({'user': ['Bob', 'Bob', 'Alice', 'Alice', 'Alice', "Ralph", "Ralph"], 
                   'date': ['2013-12-05', '2014-02-05', '2013-11-07', '2014-04-22', '2014-04-30',  '2014-04-20', '2014-05-29'],
                   'interaction_num': ['1', '2', '1', '2', '3', '1','2']})

I want to have the same result of the pandas.drop_duplicates(keep="last") function

df.drop_duplicates('user', keep='last', inplace=True)

the expected result using Vaex should be:

    user    date    interaction_num
1   Bob     2014-02-05  2
4   Alice   2014-04-30  3
6   Ralph   2014-05-29  2
1

1 Answers

0
votes

Duplicate question

It seems there is none yet, but we should expect this functionality at some point.

In the meantime, there is an attempt from the creator of vaex