Asked this in SE but maybe this is too data-oriented so trying to post it here. I am trying to find the analog to the SQL function STRING_AGG so that I can concatenate across columns and rows of a table (or dataframe).
Here is an example of what I am trying to achieve:
With SQL I can easily group by the ID_No and also specify the order by via the RUN_No. The syntax for achieving what I want would be:
SELECT ID_NO, STRING_AGG(CONCAT('(', RUN_No, ') ', Start, ' to ', Stop)) WITHIN GROUP (ORDER BY RUN_No ASC) AS "Sequence" FROM X_TBL GROUP BY ID_NO
So what would be the way to achieve the same grouping, concatenating and ordering in Python? I do have my data stored as a dataframe. I am able to concatenate across columns using the following code, but then wasn't sure how to group by the "ID_No", or concatenate across the rows within each ID_No.
sample['Merge'] = sample['Start'].map(str) + ", " + sample['Stop']