duplicates

This question already has an answer here: duplicates in multiple columns 2 answers I would like to delete duplicate rows based in two collumns, instead just one. My input df : RAW.PVAL GR allrl Bak 0.05 fr EN1 B12 0.05 fg EN1 B11 0.45 fr EN2 B10 0.35 fg EN2 B066 My output: RAW.PVAL GR allrl Bak 0.05 fr EN1 B12 0.45 fg EN2 B10 0.35 fg EN2 B066 I had tried df<- subset(df, !duplicated(allrl, RAW.PVAL)) , but I do not work to delete rows with this two columns simultaneously duplicated. Thank you! If you want to use subset , you could try: subset(df, !duplicated(subset(df, select=c(allrl, RAW.PVAL)

mylist = [[1,2],[4,5],[3,4],[4,3],[2,1],[1,2]] I want to remove duplicate items, duplicated items can be reversed. The result should be : mylist = [[1,2],[4,5],[3,4]] How do I achieve this in Python? If the Order Matters you can always use OrderedDict >>> unq_lst = OrderedDict() >>> for e in lst: unq_lst.setdefault(frozenset(e),[]).append(e) >>> map(list, unq_lst.keys()) [[1, 2], [4, 5], [3, 4]] lst=[[1,2],[4,5],[3,4],[4,3],[2,1],[1,2]] fset = set(frozenset(x) for x in lst) lst = [list(x) for x in fset] This won't preserve order from your original list, nor will it preserve order of your

I'd like to get the first row only from a data.table, grouped by multiple columns. This is straightforward with a single column, e.g.: (dt <- data.table(x = c(1, 1, 1, 2), y = c(1, 1, 2, 2), z = c(1, 2, 1, 2))) # x y z # |1: 1 1 1 # |2: 1 1 2 # |3: 1 2 1 # |4: 2 2 2 dt[!duplicated(x)] # Remove rows 2-3 # x y z # |1: 1 1 1 # |2: 2 2 2 But none of these approaches work when trying to remove based on two columns; i.e. in this case removing only row 2: dt[!duplicated(x, y)] # Keeps only original data set # x y z # |1: 1 1 1 # |2: 1 1 2 # |3: 1 2 1 # |4: 2 2 2 dt[!duplicated(list(x, y))] # Same as

Grouping elements in array by multiple properties is the closest match to my question as it indeed groups objects by multiple keys in an array. Problem is this solution doesn't sum up the properties value then remove the duplicates, it instead nests all the duplicates in a two-dimensional arrays. Expected behavior I have an array of objects which must be grouped by shape and color . var arr = [ {shape: 'square', color: 'red', used: 1, instances: 1}, {shape: 'square', color: 'red', used: 2, instances: 1}, {shape: 'circle', color: 'blue', used: 0, instances: 0}, {shape: 'square', color: 'blue',

I have data that looks like this: vector = c("hello I like to code hello","Coding is fun", "fun fun fun") I want to remove duplicate words (space delimited) i.e. the output should look like vector_cleaned [1] "hello I like to code" [2] "coding is fun" [3] "fun" Split it up ( strsplit on spaces), use unique (in lapply ), and paste it back together: vapply(lapply(strsplit(vector, " "), unique), paste, character(1L), collapse = " ") # [1] "hello i like to code" "coding is fun" "fun" ## OR vapply(strsplit(vector, " "), function(x) paste(unique(x), collapse = " "), character(1L)) Update based on

I inserted between two tables fields A,B,C,D, believing I had created a Unique Index on A,B,C,D to prevent duplicates. However I somehow simply made a normal index on those. So duplicates got inserted. It is 20 million record table. If I change my existing index from normal to unique or simply a add a new unique index for A,B,C,D will the duplicates be removed or will adding fail since unique records exist? I'd test it yet it is 30 mil records and I neither wish to mess the table up or duplicate it. Paul Spiegel If you have duplicates in your table and you use ALTER TABLE mytable ADD UNIQUE

After some issues with our hosting, we decided to move our Git repository to GitHub. So I cloned the repository and tried pushing that to GitHub. However, I stumbled upon some errors we have never encountered before: C:\repositories\appName [master]> git push -u origin master Counting objects: 54483, done. Delta compression using up to 2 threads. Compressing objects: 100% (18430/18430), done. error: object 9eac1e639bbf890f4d1d52e04c32d72d5c29082e:contains duplicate file entries fatal: Error in object fatal: sha1 file '<stdout>' write error: Invalid arguments error: failed to push some refs to

I have an array of objects as follows within my server side JS: [ { "Company": "IBM" }, { "Person": "ACORD LOMA" }, { "Company": "IBM" }, { "Company": "MSFT" }, { "Place": "New York" } ] I need to iterate through this structure, detect any duplicates and then create a count of a duplicate is found along side each value. Both of the values must match to qualify as a duplicate e.g. "Company": "IBM" is not a match for "Company": "MSFT". I have the options of changing the inbound array of objects if needed. I would like the output to be an object, but am really struggling to get this to work. EDIT