I have created a datatable frame as follows,
DT_EX = dt.Frame({'cid':[1,2,1,2,3,2,4,2,4,5],
'cust_life_cycle':['Lead','Active','Lead','Active','Inactive','Lead','Active','Lead','Inactive','Lead']})
Here I have three unique customer life cycles and each of these counts are found as
DT_EX[:, count(), by(f.cust_life_cycle)]
Along with it, I have five customer IDs and these counts are as
DT_EX[:, count(), by(f.cid)]
Now I would like to see how many of unique customer ID's existed per each of customer life cycle,
DT_EX[:, {'unique_cids':dt.unique(f.cid)}, by(f.cust_life_cycle)]
It should display as Lead customer has got 3 unique customer ID's such as (1,2,5), Active user has got 2 unique customer ID's (2,4) so on forth.
I couldn't get it as expected, Could you please let me know how to get it fixed?.
FYI: I have tried to reproduce the same on R data.table frame, its working.
DT_EX[, uniqueN(cid), by=cust_life_cycle]
There is now a nunique implementation :
DT_EX[:, f.cid.nunique(), 'cust_life_cycle']
| cust_life_cycle cid
| str32 int64
-- + --------------- -----
0 | Active 2
1 | Inactive 2
2 | Lead 3
[3 rows x 2 columns]