Seven algorithms for importing exporting csv files without proc export import
Export CSV
a. dm "dexport have 'd:\csv\have.csv' replace";
b. ods csv
d. ods csv (with SAS labels as headers)
e. datastep
f. SAS ds2csv macro
https://tinyurl.com/y5xnhfbz
Import CSV
a. dm "dimport 'd:\csv\have.csv' havedm replace";
b. datastep and utl_optlen';
github
https://tinyurl.com/y5vb6vy4
https://github.com/rogerjdeangelis/utl-seven-algorithms-for-importing-exporting-csv-files-without-pr
SAS Forum
https://tinyurl.com/y53ws4sl
https://communities.sas.com/t5/SAS-Programming/ODS-csv-to-export-to-csv-file/m-p/577612
Ronein profile
https://communities.sas.com/t5/user/viewprofilepage/user-id/159549
* _
_____ ___ __ ___ _ __| |_
/ _ \ \/ / '_ \ / _ \| '__| __|
| __/> <| |_) | (_) | | | |_
\___/_/\_\ .__/ \___/|_| \__|
|_|
;
data have;
set sashelp.class(obs=5);
label name='First Name'
sex='Gender'
Age='Age of Person'
Height='Height of Person'
Weight='Weight of Person';
run;quit;
WORK.HAVE total obs=19
NAME SEX AGE HEIGHT WEIGHT
Alfred M 14 69.0 112.5
Alice F 13 56.5 84.0
Barbara F 13 65.3 98.0
Carol F 14 62.8 102.5
Henry M 14 63.5 102.5
* _ _ _
___ ___ | |_ _| |_(_) ___ _ __ ___
/ __|/ _ \| | | | | __| |/ _ \| '_ \/ __|
\__ \ (_) | | |_| | |_| | (_) | | | \__ \
|___/\___/|_|\__,_|\__|_|\___/|_| |_|___/
;
* _ _
__| |_ __ ___ _____ ___ __ ___ _ __| |_
/ _` | '_ ` _ \ / _ \ \/ / '_ \ / _ \| '__| __|
| (_| | | | | | | | __/> <| |_) | (_) | | | |_
\__,_|_| |_| |_| \___/_/\_\ .__/ \___/|_| \__|
|_|
;
dm "dexport have 'd:\csv\have.csv' replace";
NAME,SEX,AGE,HEIGHT,WEIGHT
Alfred,M,14,69,112.5
Alice,F,13,56.5,84
Barbara,F,13,65.3,98
Carol,F,14,62.8,102.5
Henry,M,14,63.5,102.5
* _
___ __| |___ ___ _____ __
/ _ \ / _` / __| / __/ __\ \ / /
| (_) | (_| \__ \ | (__\__ \\ V /
\___/ \__,_|___/ \___|___/ \_/
;
ODS CSV FILE="d:/csv/haveods.csv";
proc print data=have nolabel noobs;
run;
ODS CSV CLOSE;
"NAME","SEX","AGE","HEIGHT","WEIGHT"
"Alfred","M",14,69.0,112.5
"Alice","F",13,56.5,84.0
"Barbara","F",13,65.3,98.0
"Carol","F",14,62.8,102.5
"Henry","M",14,63.5,102.5
* _ _ _ _
___ __| |___ ___ _____ __ | | __ _| |__ ___| |
/ _ \ / _` / __| / __/ __\ \ / / | |/ _` | '_ \ / _ \ |
| (_) | (_| \__ \ | (__\__ \\ V / | | (_| | |_) | __/ |
\___/ \__,_|___/ \___|___/ \_/ |_|\__,_|_.__/ \___|_|
;
ODS CSV FILE="d:/csv/havelbl.csv";
proc print data=have label noobs;
run;
ODS CSV CLOSE;
"First Name","Gender","Age of Person","Height of Person","Weight of Person"
"Alfred","M",14,69.0,112.5
"Alice","F",13,56.5,84.0
"Barbara","F",13,65.3,98.0
"Carol","F",14,62.8,102.5
"Henry","M",14,63.5,102.5
* _ _ _
__| | __ _| |_ __ _ ___| |_ ___ _ __
/ _` |/ _` | __/ _` / __| __/ _ \ '_ \
| (_| | (_| | || (_| \__ \ || __/ |_) |
\__,_|\__,_|\__\__,_|___/\__\___| .__/
|_|
;
data _null_;
file "d:/csv/havesd1.csv";
set have;
if _n_=1 then put "%varlist(have,od=%str(,))";
put (_all_) ( $ +(-1) ",");
run;quit;
NAME,SEX,AGE,HEIGHT,WEIGHT
Alfred,M,14,69,112.5
Alice,F,13,56.5,84
Barbara,F,13,65.3,98
Carol,F,14,62.8,102.5
Henry,M,14,63.5,102.5
* _ ____
__| |___|___ \ ___ _____ __
/ _` / __| __) / __/ __\ \ / /
| (_| \__ \/ __/ (__\__ \\ V /
\__,_|___/_____\___|___/ \_/
;
Comment by
Bartosz Jablonski
yabwon@gmail.com
SAS D0c
https://tinyurl.com/y5xnhfbz
https://documentation.sas.com/?docsetId=lebaseutilref&docsetTarget=n0yo3bszlrh0byn1j4fxh4ndei8u.htm&
%ds2csv (data=sashelp.class, runmode=b, csvfile=d:\csv\havemac.csv);
"NAME","SEX","AGE","HEIGHT","WEIGHT"
"Alfred","M","14","69","112.5"
"Alice","F","13","56.5","84"
"Barbara","F","13","65.3","98"
"Carol","F","14","62.8","102.5"
"Henry","M","14","63.5","102.5"
*_ _
(_)_ __ ___ _ __ ___ _ __| |_
| | '_ ` _ \| '_ \ / _ \| '__| __|
| | | | | | | |_) | (_) | | | |_
|_|_| |_| |_| .__/ \___/|_| \__|
|_|
;
* _ _ _
__| |_ __ ___ (_)_ __ ___ _ __ ___ _ __| |_
/ _` | '_ ` _ \ | | '_ ` _ \| '_ \ / _ \| '__| __|
| (_| | | | | | | | | | | | | | |_) | (_) | | | |_
\__,_|_| |_| |_| |_|_| |_| |_| .__/ \___/|_| \__|
|_|
;
dm "dimport 'd:\csv\have.csv' havedm replace";
WORK.HAVIMP total obs=5
NAME SEX AGE HEIGHT WEIGHT
Alfred M 14 69 112.5
Alice F 13 56.5 84
Barbara F 13 65.3 98
Carol F 14 62.8 102.5
Henry M 14 63.5 102.5
* _ _ _
__| | __ _| |_ __ _ ___| |_ ___ _ __
/ _` |/ _` | __/ _` / __| __/ _ \ '_ \
| (_| | (_| | || (_| \__ \ || __/ |_) |
\__,_|\__,_|\__\__,_|___/\__\___| .__/
|_|
;
data havImp;
if _n_=0 then do; %let rc=%sysfunc(dosubl('
data null;
infile "d:/csv/havesd1.csv";
input;
call symputx('nams',translate(_infile_," ",","));
stop;
run;quit;
'));
end;
informat &nams $4096.;
infile "d:/csv/havesd1.csv" delimiter=',' firstobs=2;
input &nams;
run;quit;
WORK.HAVIMP total obs=5
NAME SEX AGE HEIGHT WEIGHT
Alfred M 14 69 112.5
Alice F 13 56.5 84
Barbara F 13 65.3 98
Carol F 14 62.8 102.5
Henry M 14 63.5 102.5
Variables in Creation Order
# Variable Type Len Informat
1 NAME Char 4096 $4096.
2 SEX Char 4096 $4096.
3 AGE Char 4096 $4096.
4 HEIGHT Char 4096 $4096.
5 WEIGHT Char 4096 $4096.
* optimize lengths;
%utl_optlen(inp=HAVIMP,out=HAVIMP);
Variables in Creation Order
# Variable Type Len
1 NAME Char 7
2 SEX Char 1
3 AGE Char 2
4 HEIGHT Char 4
5 WEIGHT Char 5
-
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Six algorithms for importing exporting to csv files without proc export
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