Reputation: 1663
I have the following two tables:
t1:([]sym:`AAPL`GOOG; histo_dates1:(2000.01.01+til 10;2000.01.01+til 10);histo_values1:(til 10;5+til 10));
t2:([]sym:`AAPL`GOOG; histo_dates2:(2000.01.05+til 5;2000.01.06+til 4);histo_values2:(til 5; 2+til 4));
What I want is to sum the histo_values
of each symbol across the histo_dates
, such that the resulting table would look like this:
t:([]sym:`AAPL`GOOG; histo_dates:(2000.01.01+til 10;2000.01.01+til 10);histo_values:(0 1 2 3 4 6 8 10 12 9;5 6 7 8 9 12 14 16 18 14))
So the resulting dates histo_dates
should be the union of histo_dates1
and histo_dates2
, and histo_values
should be the sum of histo_values1
and histo_values2
across dates.
EDIT:
I insist on the union of the dates, as I want the resulting histo_dates
to be the union of both histo_dates1
and histo_dates2
.
Upvotes: 2
Views: 141
Reputation: 393
Another possible way using functional amend
//Column join the histo_dates* columns and get the distinct dates - drop idx
//Using a functional apply use the idx to determine which values to plus
//Join the two tables using sym as the key - Find the idx of common dates
(enlist `idx) _select sym,histo_dates:distinct each (histo_dates1,'histo_dates2),
histovalues:{@[x;z;+;y]}'[histo_values1;histo_values2;idx],idx from
update idx:(where each histo_dates1 in' histo_dates2) from ((1!t1) uj 1!t2)
One possible problem with this is that to get the idx, it depends on the date columns being sorted which is usually the case.
Upvotes: 0
Reputation: 296
There are a few ways. One would be to ungroup to remove nesting, join the tables, aggregate on sym/date and then regroup on sym:
q)0!select histo_dates:histo_dates1, histo_values:histo_values1 by sym from select sum histo_values1 by sym, histo_dates1 from ungroup[t1],cols[t1]xcol ungroup[t2]
sym histo_dates histo_values
-------------------------------------------------------------------------------------------------------------------------------------------
AAPL 2000.01.01 2000.01.02 2000.01.03 2000.01.04 2000.01.05 2000.01.06 2000.01.07 2000.01.08 2000.01.09 2000.01.10 0 1 2 3 4 6 8 10 12 9
GOOG 2000.01.01 2000.01.02 2000.01.03 2000.01.04 2000.01.05 2000.01.06 2000.01.07 2000.01.08 2000.01.09 2000.01.10 5 6 7 8 9 12 14 16 18 14
A possibly faster way would be to make each row a dictionary and then key the tables on sym and add them:
q)select sym:s, histo_dates:key each v, histo_values:value each v from (1!select s, d!'v from `s`d`v xcol t1)+(1!select s, d!'v from `s`d`v xcol t2)
sym histo_dates histo_values
-------------------------------------------------------------------------------------------------------------------------------------------
AAPL 2000.01.01 2000.01.02 2000.01.03 2000.01.04 2000.01.05 2000.01.06 2000.01.07 2000.01.08 2000.01.09 2000.01.10 0 1 2 3 4 6 8 10 12 9
GOOG 2000.01.01 2000.01.02 2000.01.03 2000.01.04 2000.01.05 2000.01.06 2000.01.07 2000.01.08 2000.01.09 2000.01.10 5 6 7 8 9 12 14 16 18 14
Another option would be to use a plus join pj
:
q)0!`sym xgroup 0!pj[ungroup `sym`histo_dates`histo_values xcol t1;2!ungroup `sym`histo_dates`histo_values xcol t2]
sym histo_dates histo_values
-------------------------------------------------------------------------------------------------------------------------------------------
AAPL 2000.01.01 2000.01.02 2000.01.03 2000.01.04 2000.01.05 2000.01.06 2000.01.07 2000.01.08 2000.01.09 2000.01.10 0 1 2 3 4 6 8 10 12 9
GOOG 2000.01.01 2000.01.02 2000.01.03 2000.01.04 2000.01.05 2000.01.06 2000.01.07 2000.01.08 2000.01.09 2000.01.10 5 6 7 8 9 12 14 16 18 14
See here for more on plus joins: https://code.kx.com/v2/ref/pj/
EDIT: To explicitly make sure the result has the union of the dates, you could use a union join:
q)0!`sym xgroup select sym,histo_dates,histo_values:hv1+hv2 from 0^uj[2!ungroup `sym`histo_dates`hv1 xcol t1;2!ungroup `sym`histo_dates`hv2 xcol t2]
sym histo_dates histo_values
-------------------------------------------------------------------------------------------------------------------------------------------
AAPL 2000.01.01 2000.01.02 2000.01.03 2000.01.04 2000.01.05 2000.01.06 2000.01.07 2000.01.08 2000.01.09 2000.01.10 0 1 2 3 4 6 8 10 12 9
GOOG 2000.01.01 2000.01.02 2000.01.03 2000.01.04 2000.01.05 2000.01.06 2000.01.07 2000.01.08 2000.01.09 2000.01.10 5 6 7 8 9 12 14 16 18 14
Upvotes: 4
Reputation: 1697
another way:
// rename the columns to be common names, ungroup the tables, and place the key on `sym and `histo_dates
q){2!ungroup `sym`histo_dates`histo_values xcol x} each (t1;t2)
// add them together (or use pj in place of +), group on `sym
`sym xgroup (+) . {2!ungroup `sym`histo_dates`histo_values xcol x} each (t1;t2)
// and to test this matches t, remove the key from the resulting table
q)t~0!`sym xgroup (+) . {2!ungroup `sym`histo_dates`histo_values xcol x} each (t1;t2)
1b
Upvotes: 0