I am trying to export a dataset in my Library/Work. It shows normal in SAS. However when I export the data as CSV or txt file (either from right click -> export, or use SAS code), the last few column names were missing (showing empty in CSV), while the values were kept. The column names missing are all in the format of "Log_xxx" but some the same-format columns were exported correctly. There're around 4000+ columns in my dataset.
The code I've tried is like:
proc export data=logdata
outfile="path.csv"
dbms=csv
replace;
run;
I've exported many datasets before, but it's the first time I have this kind of problem. I've tried to restart SAS and it's still not working.
I simply wanted to export the whole dataset completely with all column names and values.
Do you have any ideas?
I don't think it is PROC EXPORT that is the issue. You have to tell SAS that you want to write lines that are longer then 32,767 bytes (the default setting for the LRECL option).
This code works:
data test;
array longname [3500] ;
run;
filename csv temp lrecl=1000000 ;
proc export data=test dbms=csv file=csv ;
run;
So change your code to set the LRECL long enough for all of the variable names.
filename csv "path.csv" lrecl=1000000 ;
proc export data=logdata
outfile=csv
dbms=csv
replace
;
run;
Based on this post, your header is likely exceeding 32k characters, which causes the issues.
Solution is to manually create the file without proc export, or proc export to XLSX doesn't appear to have the issue.
*Create demo data;
data class;
set sashelp.class;
label age='Age, Years' weight = 'Weight(lbs)' height='Height, inches';
run;
proc sql noprint;
create table temp as
select name as _name_, label as _label_
from dictionary.columns
where libname="WORK" and upcase(memname)="CLASS";
select nliteral(name) into :varList separated by ' '
from dictionary.columns
where libname="WORK" and upcase(memname)="CLASS";
quit;
data _null_;
file "&sasforum.\datasets\TwoLinesHeader.csv" dsd lrecl = 40000;
set class;
if _n_ = 1 then do;
do until(eof);
set temp end=eof;
put _name_ #;
end;
put;
end;
put (&varList) (:);
run;
Related
I noticed in the SAS log that when I call a proc export data=mydata outfile="csv.csv" dbms=csv replace; run;, I get a generated internal set which declares a comma data format: comma20.3.
138 format YEAR best12. ;
145 format RATE_SPREAD comma20.3 ;
How can I get proc export not to do this, and to export without comma separators? Eg 9000 instead of 9,000?
Unfortunately PROC EXPORT does not support the FORMAT statement.
You could make a view to the original data with the format removed and export that.
data for_export / view=for_export;
set mydata;
format rate_spread ;
run;
proc export data=for_export outfile="csv.csv" dbms=csv replace;
run;
But you really don't need to use PROC EXPORT to write a CSV file. A data step works just as well. You might have to do a little work to add the header row.
proc transpose data=mydata(obs=0) out=names ;
var _all_;
run;
data _null_;
file "csv.csv" dsd ;
set names;
put _name_ #;
run;
data _null_;
file "csv.csv" dsd mod ;
set mydata;
put (_all_) (+0);
format rate_spread ;
run;
I'm wondering if it's possible to save the query results to csv? Without creating views.
I have a large table but need only 2 columns from there to process with python then. Maybe someone can help with it?
Here are three ways
ODS
SQL query can be output to an ODS CSV destination. This approach encompasses the widest possibilities of querying.
ods csv file='c:\temp\query-results.csv';
proc sql;
select name, age
from sashelp.class
where name like 'J%'
;
quit;
ods csv close;
EXPORT Procedure
Where clause can be applied using kept columns of 'a large table' (data=)
proc export
data = sashelp.class(
keep=name age
where = (
name like 'J%'
)
)
replace
file = 'c:\temp\class-subset.csv'
dbms = csv
;
run;
DATA _null_
Where statement can be applied using any columns of 'a large table' (SET). The PUT statement manages which columns are output.
data _null_;
set sashelp.class;
where name like 'J%';
file 'c:\temp\subset-per-datastep.csv' dlm=',' dsd;
if _n_ = 1 then put 'name,age';
put name age;
run;
I think you can use ods to create file with results, for example:
ods csv file="C:\test.csv" options(delimiter=';');
proc sql;
select * from sashelp.class;
quit;
ods csv close;
I need to export a data set from SAS to Excel 2013 as a .csv file. However, I need the file name to be dynamic. In this instance, I need it to appear as:
in_C000000_013117_65201.csv
where the string, "in_C000000_" will remain constant, the string "013117_" will be the current day's date, and the string "65201" will be the row count of the data set itself.
Any help that you can provide would be much appreciated!
Thanks!
Here's a modified macro I wrote in the past that does almost exactly what you're asking for. If you want to replace sysdate with a date in your desired format, that's easy to do as well:
%let path = [[desired destination]];
%macro exporter(dataset);
proc sql noprint;
select count(*) into: obs
from &dataset.;
quit;
data temp;
format date mmddyy6.;
date = today();
run;
proc sql noprint;
select date format mmddyy6. into: date_formatted
from temp;
quit;
proc export data = &dataset.
file = "&path.in_C000000_&date_formatted._%sysfunc(compress(&obs.)).csv"
dbms = csv replace;
run;
%mend exporter;
%exporter(your_dataset_here);
Produces datasets in the format: in_C000000_020117_50000.csv
I'm trying to export the column names of a sas data to a xlsx file but need the data to be copied starting in the 2nd row of the excel file. What I have right now:
PROC EXPORT DATA= mylib.test
outfile = "exceltobemodified.xlsx"
dbms = excel replace;
sheet = "test1";
range = "test1$A2:BE2000";
run;
However, I get an error indicating that the RANGE statement is not supported and is ignored in Export procedure
Any suggestions?
Try the data set option FIRSTOBS.
PROC EXPORT DATA= mylib.test (firstobs=2)
outfile = "exceltobemodified.xlsx"
dbms = excel replace;
run;
Edit: If by"starting in the 2nd row" you mean to output the data without the variable names, then you have to use PUTNAMES=NO;
PROC EXPORT DATA= mylib.test
outfile = "exceltobemodified.xlsx"
dbms = excel replace;
PUTNAMES=NO;
run;
Load your table with a blank row as first row. Try writing the table to excel file then. It should work.
Proc sql
insert into test
values('',.,'')
quit;
Proc sort data=test;
by _all_;
run;
Options missing='';
proc export data=test outfile='/home/libname/new.xlsx'
dbms=excel replace;
putnames=no;
run;
I'm working with a rather large several dataset that are provided to me as a CSV files. When I attempt to import one of the files the data will come in fine but, the number of variables in the file is too large for SAS, so it stops reading the variable names and starts assigning them sequential numbers. In order to maintain the variable names off of the data set I read in the file with the data row starting on 1 so it did not read the first row as variable names -
proc import file="X:\xxx\xxx\xxx\Extract\Live\Live.xlsx" out=raw_names dbms=xlsx replace;
SHEET="live";
GETNAMES=no;
DATAROW=1;
run;
I then run a macro to start breaking down the dataset and rename the variables based on the first observations in each variable -
%macro raw_sas_datasets(lib,output,start,end);
data raw_names2;
raw_names;
if _n_ ne 1 then delete;
keep A -- E &start. -- &end.;
run;
proc transpose data=raw_names2 out=raw_names2;
var A -- &end.;
run;
data raw_names2;
set raw_names2;
col1=compress(col1);
run;
data raw_values;
set raw;
keep A -- E &start. -- &end.;
run;
%macro rename(old,new);
data raw_values;
set raw_values;
rename &old.=&new.;
run;
%mend rename;
data _null_;
set raw_names2;
call execute('%rename('||_name_||","||col1||")");
run;
%macro freq(var);
proc freq data=raw_values noprint;
tables &var. / out=&var.;
run;
%mend freq;
data raw_names3;
set raw_names2;
if _n_ < 6 then delete;
run;
data _null_;
set raw_names3;
call execute('%freq('||col1||")");
run;
proc sort data=raw_values;
by StudySubjectID;
run;
data &lib..&output.;
set raw_values;
run;
%mend raw_sas_datasets;
The problem I'm running into is that the variable names are now all set properly and the data is lined up correctly, but the labels are still the original SAS assigned sequential numbers. Is there any way to set all of the labels equal to the variable names?
If you just want to remove the variable labels (at which point they default to the variable name), that's easy. From the SAS Documentation:
proc datasets lib=&lib.;
modify &output.;
attrib _all_ label=' ';
run;
I suspect you have a simpler solution than the above, though.
The actual renaming step needs to be done differently. Right now it's rewriting the entire dataset over and over again - for a lot of variables that is a terrible idea. Get your rename statements all into one datastep, or into a PROC DATASETS, or something else. Look up 'list processing SAS' for details on how to do that; on this site or on google you will find lots of solutions.
You likely can get SAS to read in the whole first line. The number of variables isn't the problem; it is probably the length of the line. There's another question that I'll find if I can on this site from a few months ago that deals with this exact problem.
My preferred option is not to use PROC IMPORT for CSVs anyway; I would suggest writing a metadata table that stores the variable names and the length/types for the variables, then using that to write import code. A little more work at first, but only has to be done once per study and you guarantee PROC IMPORT isn't making silly decisions for you.
In the library sashelp is a table vcolumn. vcolumn contains all the names of your variables for each library by table. You could write a macro that puts all your variable names into macro variables and then from there set the label.
Here's some code that I put together (not very pretty) but it does what you're looking for:
data test.label_var;
x=1;
y=1;
label x = 'xx';
label y = 'yy';
run;
proc sql noprint;
select count(*) into: cnt
from sashelp.vcolumn
where memname = 'LABEL_VAR';quit;
%let cnt = &cnt;
proc sql noprint;
select name into: name1 - :name&cnt
from sashelp.vcolumn
where memname = 'LABEL_VAR';quit;
%macro test;
%do i = 1 %to &cnt;
proc datasets library=test nolist;
modify label_var;
label &&name&i=&&name&i;
quit;
%end;
%mend test;
%test;