Get a Comma Delimited String from Rows

Transform rows to comma delimited string by groups of n records

So you can use a modified row number (divided by 2) to group your data into blocks of 2 rows, and then you can use string_agg().

You do need a way to order the rows though (if you want consistent results), I have assumed NTID will work, but you may have a better column to order by.

declare @Test table (ID int, [NAME] varchar(32), ZIP varchar(12), NTID varchar(2));

insert into @Test (ID, [NAME], ZIP, NTID)
values
(1, 'Juan', '123', 'H1'),
(1, 'Juan', '123', 'H2'),
(2, 'John', '456', 'H3'),
(2, 'John', '456', 'H4'),
(2, 'John', '456', 'H5');

with cte as (
    select *
      , (row_number() over (partition by ID order by NTID) - 1) / 2 rn
    from @Test
)
select ID, [NAME], string_agg(NTID,',')
from cte
group by ID, [NAME], rn;

db<>fiddle here

Note: If you supply the DDL+DML as part of your question you make it much easier to answer.

How can I get comma delimited values into new row in BigQuery?

Try this one:

with mytable as (
    select "X" as model, "1,34,60,1000" as alarm union all 
    select "Y", "2,4,5,900,1000" union all 
    select "Z", "1"
)
select model, newalarm
from mytable, unnest(split(alarm)) as newalarm

How to concatenate text from multiple rows into a single text string in SQL Server

If you are on SQL Server 2017 or Azure, see Mathieu Renda answer.

I had a similar issue when I was trying to join two tables with one-to-many relationships. In SQL 2005 I found that XML PATH method can handle the concatenation of the rows very easily.

If there is a table called STUDENTS

SubjectID       StudentName
----------      -------------
1               Mary
1               John
1               Sam
2               Alaina
2               Edward

Result I expected was:

SubjectID       StudentName
----------      -------------
1               Mary, John, Sam
2               Alaina, Edward

I used the following T-SQL:

SELECT Main.SubjectID,
       LEFT(Main.Students,Len(Main.Students)-1) As "Students"
FROM
    (
        SELECT DISTINCT ST2.SubjectID, 
            (
                SELECT ST1.StudentName + ',' AS [text()]
                FROM dbo.Students ST1
                WHERE ST1.SubjectID = ST2.SubjectID
                ORDER BY ST1.SubjectID
                FOR XML PATH (''), TYPE
            ).value('text()[1]','nvarchar(max)') [Students]
        FROM dbo.Students ST2
    ) [Main]

You can do the same thing in a more compact way if you can concat the commas at the beginning and use substring to skip the first one so you don't need to do a sub-query:

SELECT DISTINCT ST2.SubjectID, 
    SUBSTRING(
        (
            SELECT ','+ST1.StudentName  AS [text()]
            FROM dbo.Students ST1
            WHERE ST1.SubjectID = ST2.SubjectID
            ORDER BY ST1.SubjectID
            FOR XML PATH (''), TYPE
        ).value('text()[1]','nvarchar(max)'), 2, 1000) [Students]
FROM dbo.Students ST2

How to turn a pandas dataframe row into a comma separated string

You could use pandas.DataFrame.to_string with some optional arguments set to False and then split on newline characters to get a list of your strings. This feels a little dirty though.

x = df3.to_string(header=False,
                  index=False,
                  index_names=False).split('\n')
vals = [','.join(ele.split()) for ele in x]
print(vals)

Outputs:

['1.221365,0.923175,-1.286149,-0.153414,-0.005078', '-0.231824,-1.131186,0.853728,0.160349,1.000170', '-0.147145,0.310587,-0.388535,0.957730,-0.185315', '-1.658463,-1.114204,0.760424,-1.504126,0.206909', '-0.734571,0.908569,-0.698583,-0.692417,-0.768087', '0.000029,0.204140,-0.483123,-1.064851,-0.835931', '-0.108869,0.426260,0.107286,-1.184402,0.434607', '-0.692160,-0.376433,0.567188,-0.171867,-0.822502', '-0.564726,-1.084698,-1.065283,-2.335092,-0.083357', '-1.429049,0.790535,-0.547701,-0.684346,2.048081']

Convert multiple rows into a single comma separated string without XML

#standardSQL
select id, string_agg(food) as foods
from `project.dataset.table`
group by id

Convert multiple rows into one with comma as separator

This should work for you. Tested all the way back to SQL 2000.

create table #user (username varchar(25))

insert into #user (username) values ('Paul')
insert into #user (username) values ('John')
insert into #user (username) values ('Mary')

declare @tmp varchar(250)
SET @tmp = ''
select @tmp = @tmp + username + ', ' from #user

select SUBSTRING(@tmp, 0, LEN(@tmp))

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