WebI am able to remove the duplicate rows based on one column by this command, dat [c (T, diff (dat$X) != 0), ] or dat [c (T, diff (dat$Y) != 0), ] But I want to remove the duplicates only when both the columns have the same previous value. I can't use unique here because the same data would occur later on. WebDec 6, 2024 · I need to delete duplicated rows based on combination of two columns (person1 and person2 columns) which have strings. For example person1: ryan and person2: delta or person 1: delta and person2: ryan is same and provides the same value in messages column. Need to drop one of these two rows. Return the non duplicated rows …
Remove duplicates based on multiple columns - Power BI
WebDec 11, 2024 · A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. WebJan 21, 2024 · The Remove Duplicate rows feature in Power Query also works across multiple columns. You just need to select the columns that need to be distinct. For example, choosing "PO" and "Decision" or choosing, "PO", "Decision" and "Date". Please note that Power Query will keep the First Distinct result instead of Group By. crkb4-15
python - Remove duplicates from dataframe, based on two columns …
Web2) To Delete the record use Delete query instead of Select and change Where Clause to rn > 1. Sample SQL FIDDLE. WITH cte AS ( SELECT*, row_number() OVER(PARTITION BY ARDivisionNo, CustomerNo ORDER BY ShipToCode desc) AS [rn] FROM t ) Delete from cte WHERE [rn] > 1; select * from t; ... Drop duplicates based on Two distinct column … WebSELECT PosId, OrgId FROM PosOrg GROUP BY PosId, OrgId HAVING COUNT (*) > 1 but now I want to delete the duplicate rows so the above query ends of returning zero rows. I don't care which of the rows that I delete (just as long as only one rows remains based on the uniqueness of those two columns. WebMar 26, 2024 · I would like to remove duplicate rows based on >1 column using dplyr / tidyverse Example library (dplyr) df <- data.frame (a=c (1,1,1,2,2,2), b=c (1,2,1,2,1,2), stringsAsFactors = F) I thought this would return rows 3 and 6, but it returns 0 rows. df %>% filter (duplicated (a, b)) # [1] a b # <0 rows> (or 0-length row.names) crkb3-6