I have a dataset like this:
DATA tmp;
INPUT
identifier $
d0101 d0102 d0103 d0104 d0105 d0106
d0107 d0108 d0109 d0110 d0111 d0112
;
DATALINES;
a 1 2 3 4 5 6 7 8 9 10 11 12
b 4 5 7 4 5 6 7 6 9 10 3 12
c 5 2 3 5 5 4 7 8 3 1 1 2
;
RUN;
And I'm trying to create a dataset like this:
DATA tmp;
INPUT
identifier $ day value
;
DATALINES;
a '01JAN2018'd 1
a '02JAN2018'd 2
a '03JAN2018'd 3
a '04JAN2018'd 4
a '05JAN2018'd 5
a '06JAN2018'd 6
a '07JAN2018'd 7
a '08JAN2018'd 8
a '09JAN2018'd 9
a '10JAN2018'd 10
a '11JAN2018'd 11
a '12JAN2018'd 12
b '01JAN2018'd 4
b '02JAN2018'd 5
b '03JAN2018'd 7
...
;
RUN;
I know the syntax for "melting" a dataset like this - I have completed a similar macro for columns that represent a particular value in each of the twelve months in a year.
What I'm struggling with is how to iterate through all days year-to-date (the assumption is that the have
dataset has all days YTD as columns).
I'm used to Python, so something I might do there would be:
>>> import datetime
>>>
>>> def dates_ytd():
... end_date = datetime.date.today()
... start_date = datetime.date(end_date.year, 1, 1)
... diff = (end_date - start_date).days
... for x in range(0, diff + 1):
... yield end_date - datetime.timedelta(days=x)
...
>>> def create_date_column(dt):
... day, month = dt.day, dt.month
... day_fmt = '{}{}'.format('0' if day < 10 else '', day)
... month_fmt = '{}{}'.format('0' if month < 10 else '', month)
... return 'd{}{}'.format(month_fmt, day_fmt)
...
>>> result = [create_date_column(dt) for dt in dates_ytd()]
>>>
>>> result[:5]
['d1031', 'd1030', 'd1029', 'd1028', 'd1027']
>>> result[-5:]
['d0105', 'd0104', 'd0103', 'd0102', 'd0101']
Here is my SAS attempt:
%MACRO ITER_DATES_YTD();
DATA _NULL_;
%DO v_date = '01012018'd %TO TODAY();
%PUT d&v_date.;
* Will do "melting" logic here";
%END
%MEND ITER_DATES_YTD;
When I run this, using %ITER_DATES_YTD();
, nothing is even printed to my log. What am I missing here? I basically want to iterate through "YTD" columns, like these d0101
, d0102
, d0103
, ...
.