I'm trying to modify a number of datasets (their names follow a certain order, like data_AXPM061203900_20120104 , data_AXPM061203900_20120105, data_AXPA061204100_20120103, data_AXPA061204100_20120104) under work library. For example, I want to delete variable "price=0" in all datasets.
I am using the following to create a table to identify the datasets:
proc sql ;
create table data.mytables as
select *
from dictionary.tables
where libname = 'WORK'
order by memname ;
quit ;
For the next step, I'm trying to use a macro:
%macro test;
proc sql ;
select count(memname) into: obs from data.mytables;
%let obs=&obs.;
select catx("_", "data", substr(memname, 6, 13), substr(memname,20,27))
into :setname1-:setname&obs.
from data.mytables;
quit;
%do i=1 %to &obs.;
data &&setname&i
set &&setname&i
if bid_price= '.' then delete;
%end;
%mend test;
However, it completely failed. Could anyone give me some suggestions? I'm really not good at macros. Errors include:
56: LINE and COLUMN cannot be determined.
ERROR 56-185: SET is not allowed in the DATA statement when option DATASTMTCHK=COREKEYWORDS. Check for a missing semicolon in
the DATA statement, or use DATASTMTCHK=NONE.
You are missing semicolons on the DATA statement and SET statement, and should probably add a RUN statement. Suggest you try:
%do i=1 %to &obs.;
data &&setname&i ;
set &&setname&i ;
if bid_price= '.' then delete;
run;
%end;
Note that the DELETE statement is deleting records, not deleting variables. The code above expects that bid_price is a character variable, and that you want to delete records when the value is '.'.
Related
I need to loop through some date format like 'yyyy-mm-dd' in SAS Macro since my main query body uses Teradata SQL Pass-Thru however my code below is not working where %let wk_first_dt is not picking up 'yyyy-mm-dd' format. The error says
%MACRO DO_APPEND;
%let first_dt_list = '2020-03-11' '2020-03-18';
%local i wk_first_dt;
%do i=1 %to %sysfunc(countw(&first_dt_list));
%let wk_first_dt = %scan(&first_dt_list, &i);
...
proc sql
...
where BILL_DT >= Date &wk_first_dt
AND SL_INVC.BILL_DT <= (Date &wk_first_dt + 7)
...
quit;
...
%END;
%MEND;
%DO_APPEND;
ERROR: Literal contains unmatched quote.
ERROR: The macro DO_APPEND will stop executing.
Did a lot of research and I believe the issue was due to the single quotes in this format 'yyyy-mm-dd' since there is special treatment dealing with single quotes in SAS Macro. however the most popular recommendations like
%let first_dt_list = %str(%')yyyy-mm-dd.%str(%')
won't work in my case. Please kindly point me to the right direction. Thanks in advance!
Btw, in the code above, if I change %scan(&first_dt_list, &i) to '2020-03-11', the whole Macro works - but i just need to loop through multiple dates. This makes me believe once 'yyyy-mm-dd' is passed to %let wk_first_dt, the issue would be fixed.
Your %SCAN() function call is wrong.
75 %let list = '2020-03-11' '2020-03-18';
76 %put %qscan(&list,1);
'2020
Since you didn't tell %SCAN() what delimiter to use it used ANY of the default set of delimiters, which includes the hyphen.
Try telling it that only space should be used as the delimiter.
%do i=1 %to %sysfunc(countw(&first_dt_list, %str( )));
%let wk_first_dt = %scan(&first_dt_list, &i,%str( ));
I have a bunch of character variables which I need to sort out from a large dataset. The unwanted variables all have entries that are the same or are all missing (meaning I want to drop these from the dataset before processing the data further). The data sets are very large so this cannot be done manually, and I will be doing it a lot of times so I am trying to create a macro which will do just this. I have created a list macro variable with all character variables using the following code (The data for my part is different but I use the same sort of code):
data test;
input Obs ID Age;
datalines;
1 2 3
2 2 1
3 2 2
4 3 1
5 3 2
6 3 3
7 4 1
8 4 2
run;
proc contents
data = test
noprint
out = test_info(keep=name);
run;
proc sql noprint;
select name into : testvarlist separated by ' ' from test_info;
quit;
My idea is then to just use a data step to drop this list of variables from the original dataset. Now, the problem is that I need to loop over each variable, and determine if the observations for that variable are all the same or not. My idea is to create a macro that loops over all variables, and for each variable counts the occurrences of the entries. Since the length of this table is equal to the number of unique entries I know that the variable should be dropped if the table is of length 1. My attempt so far is the following code:
%macro ListScanner (org_list);
%local i next_name name_list;
%let name_list = &org_list;
%let i=1;
%do %while (%scan(&name_list, &i) ne );
%let next_name = %scan(&name_list, &i);
%put &next_name;
proc sql;
create table char_occurrences as
select &next_name, count(*) as numberofoccurrences
from &name_list group by &next_name;
select count(*) as countrec from char_occurrences;
quit;
%if countrec = 1 %then %do;
proc sql;
delete &next_name from &org_list;
quit;
%end;
%let i = %eval(&i + 1);
%end;
%mend;
%ListScanner(org_list = &testvarlist);
Though I get syntax errors, and with my real data I get other kinds of problems with not being able to read the data correctly but I am taking one step at a time. I am thinking that I might overcomplicate things so if anyone has an easier solution or can see what might be wrong to I would be very grateful.
There are many ways to do this posted around.
But let's just look at the issues you are having.
First for looping through your space delimited list of names it is easier to let the %do loop increment the index variable for you. Use the countw() function to find the upper bound.
%do i=1 %to %sysfunc(countw(&name_list,%str( )));
%let next_name = %scan(&name_list,&i,%str( ));
...
%end;
Second where is your input dataset in your SQL code? Add another parameter to your macro definition. Where to you want to write the dataset without the empty columns? So perhaps another parameter.
%macro ListScanner (dsname , out, name_list);
%local i next_name sep drop_list ;
Third you can use a single query to count all of variables at once. Just use count( distinct xxxx ) instead of group by.
proc sql noprint;
create table counts as
select
%let sep=;
%do i=1 %to %sysfunc(countw(&name_list,%str( )));
%let next_name = %scan(&name_list,&i,%str( ));
&sep. count(distinct &next_name) as &next_name
%let sep=,;
%end;
from &dsname
;
quit;
So this will get a dataset with one observation. You can use PROC TRANSPOSE to turn it into one observation per variable instead.
proc transpose data=counts out=counts_tall ;
var _all_;
run;
Now you can just query that table to find the names of the columns with 0 non-missing values.
proc sql noprint ;
select _name_ into :drop_list separated by ' '
from counts_tall
where col1=0
;
quit;
Now you can use the new DROP_LIST macro variable.
data &out ;
set &dsname ;
drop &drop_list;
run;
So now all that is left is to clean up after your self.
proc delete data=counts counts_tall ;
run;
%mend;
As far as your specific initial question, this is fairly straightforward. Assuming &testvarlist is your macro variable containing the variables you are interested in, and creating some test data in have:
%let testvarlist=x y z;
data have;
call streaminit(7);
do id = 1 to 1e6;
x = floor(rand('Uniform')*10);
y = floor(rand('Uniform')*10);
z = floor(rand('Uniform')*10);
if x=0 and y=4 and z=7 then call missing(of x y z);
output;
end;
run;
data want fordel;
set have;
if min(of &testvarlist.) = max(of &testvarlist.)
and (cmiss(of &testvarlist.)=0 or missing(min(of &testvarlist.)))
then output fordel;
else output want;
run;
This isn't particularly inefficient, but there are certainly better ways to do this, as referenced in comments.
I am creating multiple datasets named "Taxes&i.(&i notes each new dataset according to the counter I. ) I then append all of the tables at the end with the table " want". When I finish going through the first macro loop i would like to go through another loop that changes the dates. So the line
"DATE BETWEEN '14Feb2016:0:0:0'dt AND '16Feb2016:0:0:0'dt);
would look like
date between 'date1' and 'date2';
I don't know how to create that loop though, so it goes back into the first loop. Then that loop finishes and it goes into the second loop changes the dates and back into the first loop finishes...into the second loop.
Also there may be a way to make this less bulky and some how when the first loop is done executing maybe the dates can automatically increase by one day without them being declared. That will work also. I am just not sure which is best and possible.
%macro loop(list1, list2);
%let n=%sysfunc(countw(&list1, %str('')));
%do i=1 %to &n;
%let O_list1 = %scan(&list1, &i, %str('');
%let O_list2 = %scan(&list2, &i, %str('');
/* another macro here called date_loop(date1, date2); */
proc sql;
create table taxes&i;
select t1.tax_info
FROM work.taxes&1 as t1
WHERE (t1.O_LIST1 = &O_List2) AND
(DATE BETWEEN '14Feb2016:0:0:0'dt AND '16Feb2016:0:0:0'dt);
%end;
%mend;
run;
%list('1' '2', '3' '4') /*( this is "O_List1", "O_List2") */
data want;
set abc.taxes: ;
run;
Thanks for help!
I have lots of tables which I would like to sort with Proc Sort. (The names of the tables are written in a text file.) To avoid repeating the same code all over again I have tried creating a macro that would import the text file, create an array consisting of those table names and finally sort all the tables. However, I came across a few problems. In Python, I would easily be able to loop through an array. But in SAS, I am not sure how to do it.
%MACRO SORT_TABLES();
PROC IMPORT
DATAFILE = 'TABLES_LIST.txt'
OUT = WORK.TABLES_LIST (RENAME = VAR1 = TABLE_NAME)
DBMS = TAB
REPLACE;
GETNAMES = NO;
QUIT;
/* GET THE LIST OF TABLE NAMES: */
PROC SQL NOPRINT;
SELECT
DISTINCT TABLE_NAME
INTO :TABLEVAR1 - :TABLEVAR&SYSMAXLONG
FROM
WORK.TABLES_LIST;
QUIT;
DATA _NULL_;
ARRAY TABLE_NAMES $ &TABLEVAR1 - &TABLEVAR&SYSMAXLONG;
RUN;
%DO %OVER TABLE_NAMES
PROC SORT
DATA = &TABLEVAR1 /* how can I iterate here???? */
OUT = 'WORK.'||&TABLEVAR1;
BY A B C;
QUIT;
%END;
%MEND;
Just use an iterative %DO loop to loop over your "array" of macro variables.
proc sql noprint ;
select distinct table_name
into :tablevar1 -
from table_list
;
quit;
%do i=1 %to &sqlobs ;
proc sort data=&&tablevar&i ; by _all_ ; run;
%end;
But you don't need a macro for this. There are easier ways to generate code.
filename code temp;
data _null_;
set table_list ;
put 'PROC SORT DATA = ' table_name '; BY _all_; run;' ;
run;
%include code / source2 ;
I have over 200k small datasets with the same variables (n<1000 and usually n<100) that I want to concatenate into a master dataset. I have tried using a macro that uses a data step to just iterate through all of the new datasets and concatenate with the master with "set master new:", but this is taking a really long time. Also, if I try to run at the same time, the call execute data step says that I am out of memory on a huge server box. For reference, all of the small datasets together are just over 5 Gigs. Any suggestions would be greatly appreciated. Here is what I have so far:
%macro catDat(name, nbr) ;
/*call in new dataset */
data new ;
set libin.&name ;
run ;
/* reorder names */
proc sql noprint;
create table new as
select var1, var2, var3
from new;
quit;
%if &nbr = 1 %then %do ;
data master;
set new;
run;
%end;
%if &nbr > 1 %then %do ;
data master;
set master new ;
run;
%end ;
%mend;
/* concatenate datasets */
data runthis ;
set datasetNames ;
call execute('%catdat('||datasetname||','||_n_||')');
run;
Resolved: see Bob's comments below.
Try using PROC APPEND instead of your "new" dataset; that will be much, much faster:
%macro DOIT;
proc sql noprint;
select count(*) into : num_recs
from datasetNames;
quit;
%do i=1 %to &num_recs;
data _null_;
i = &i;
set datasetNames point=i;
call symput('ds_name',datasetname);
stop;
run; /* UPDATE: added this line */
%if &i = 1 %then %do;
/* Initialize MASTER with variables in the order you wish */
data master(keep=var1 var2 var3);
retain var1 var2 var3;
set libin.&ds_name;
stop;
run;
%end;
proc append base=master data=libin.&ds_name(keep=var1 var2 var3);
run;
%end;
%mend DOIT;
PROC APPEND will add each dataset into your new "master" without rebuilding it each time as you are doing now.
This also avoids using CALL EXECUTE, removing that memory issue you were running into (caused by generating so much code into the execution stack).