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How to get rid of duplicates in group concat?
Then we do the same group_concat as you have done before and use in the last step the REPLACE function to eliminate double blanks. You can use ‘distinct’ in a group_concat () to remove duplicates. Say for example you have insurance policies with multiple owners.
Is there a way to do the group _ concat line?
Is there a way to do the GROUP_CONCAT line so that I get duplicate surnames only shown once eg SELECT GROUP_CONCAT ( CONCAT_WS ( ‘ ‘, title , forname_1 , forename_2, surname ) SEPARATOR ‘ & ‘ ) AS Salutation, addresses.the_address FROM people JOIN addresses ON addresses.address_id = people.address_id GROUP BY people_address_id
How to concatenate two DataFrames without duplicates?
The simplest way is to just do the concatenation, and then dedupe. The reset_index(drop=True) is to fix up the index after the concat() and drop_duplicates(). Without it you will have an index of [0,1,0] instead of [0,1,2]. This could cause problems for further operations on this dataframe down the road if it isn’t reset right away.
How to do group concat in MySQL distinct?
I am doing SELECT GROUP_CONCAT (categories SEPARATOR ‘ ‘) FROM table. Sample data below: However, I am getting test1 test2 test3 test4 test1 test3 back and I would like to get test1 test2 test3 test4 back.
Is it bad to use group concat in MySQL?
I use a MySQL select query that gets the names and address of people for address labels. More than one person may live at the same address so I do a GROUP CONCAT to combine their names along with one address. which is bad as the surname is the same yet it gets repeated.
How are duplicates removed from for XML Path?
This time around, I wanted to talk about a couple of additional facets of this problem that we can accomplish easily with the FOR XML PATH approach: ordering the list, and removing duplicates. There are a few ways that I have seen people want the comma-separated list to be ordered.