semiMonthBegin
Syntax
semiMonthBegin(X, [dayOfMonth=15], [offset], [n=1])
Arguments
X is a scalar/vector of data type DATE, DATEHOUR, DATETIME, TIMESTAMP or NANOTIMESTAMP.
dayOfMonth (optional) is an integer between 2 and 27. The default value is 15.
offset (optional) is a scalar of the same data type as X. It must be no greater than the minimum value of X. The default value is the minimum value of X.
n (optional) is a positive integer. The default value is 1.
Details
Return the first day of the semi-month that X belongs to. Suppose X is the d-th day of the month:
-
If d < dayOfMonth: return the first day of the month.
-
If d >= dayOfMonth: return the dayOfMonth-th day of the month.
If parameter offset is specified, the result is updated every n semi-months. Parameter offset works only if parameter n>1.
Examples
semiMonthBegin(2012.06.12);
// output
2012.06.01
semiMonthBegin(2012.06.24);
// output
2012.06.15
semiMonthBegin(2012.06.15);
// output
2012.06.15
semiMonthBegin(2012.06.16, 16);
// output
2012.06.16
date=2016.04.07+(1..10)*7
time = take(09:30:00, 10);
sym = take(`MSFT,10)
price= 49.6 29.46 29.52 30.02 174.97 175.23 50.76 50.32 51.29 52.38
qty = 2200 1900 2100 3200 6800 5400 1300 2500 8800 4500
t1 = table(date, time, sym, qty, price);
t1;
date | time | sym | qty | price |
---|---|---|---|---|
2016.04.14 | 09:30:00 | MSFT | 2200 | 49.6 |
2016.04.21 | 09:30:00 | MSFT | 1900 | 29.46 |
2016.04.28 | 09:30:00 | MSFT | 2100 | 29.52 |
2016.05.05 | 09:30:00 | MSFT | 3200 | 30.02 |
2016.05.12 | 09:30:00 | MSFT | 6800 | 174.97 |
2016.05.19 | 09:30:00 | MSFT | 5400 | 175.23 |
2016.05.26 | 09:30:00 | MSFT | 1300 | 50.76 |
2016.06.02 | 09:30:00 | MSFT | 2500 | 50.32 |
2016.06.09 | 09:30:00 | MSFT | 8800 | 51.29 |
2016.06.16 | 09:30:00 | MSFT | 4500 | 52.38 |
select avg(price),sum(qty) from t1 group by semiMonthBegin(date);
semiMonthBegin_date | avg_price | sum_qty |
---|---|---|
2016.04.01 | 49.6 | 2200 |
2016.04.15 | 29.49 | 4000 |
2016.05.01 | 102.495 | 10000 |
2016.05.15 | 112.995 | 6700 |
2016.06.01 | 50.805 | 11300 |
2016.06.15 | 52.38 | 4500 |