duplicates

I have a dataframe where I would like to concatenate certain columns. My issue is that the text in these columns may or may not contain duplicate information. I would like to strip out the duplicates in order to retain only the relevant information. For example, if I had a data frame such as: Animal1 Animal2 Label 1 cat dog dolphin 19 2 dog cat cat 72 3 pilchard 26 koala 26 4 newt bat 81 bat 81 You can see that in row 2, 'cat' is contained in both columns 'Animal1' and 'Animal2'. In row 3, the number 26 is in both column 'Animal1' and 'Label'. Whereas in row 4, information that is in columns

I have a data frame with two columns. The first column defines subsets of the data. I want to find all values in the second column that only appear in one subset in the first column. For example, from: df=data.frame( data_subsets=rep(LETTERS[1:2],each=5), data_values=c(1,2,3,4,5,2,3,4,6,7)) data_subsets data_values A 1 A 2 A 3 A 4 A 5 B 2 B 3 B 4 B 6 B 7 I would want to extract the following data frame. data_subsets data_values A 1 A 5 B 6 B 7 I have been playing around with duplicated but I just can't seem to make it work. Any help is appreciated. There are a number of topics tackling similar

I have a dictionary in python d = {tags[0]: value, tags[1]: value, tags[2]: value, tags[3]: value, tags[4]: value} imagine that this dict is 10 times bigger, it has 50 keys and 50 values. Duplicates can be found in this tags but even then values are essential. How can I simply trimm it to recive new dict without duplicates of keys but with summ of values instead? d = {'cat': 5, 'dog': 9, 'cat': 4, 'parrot': 6, 'cat': 6} result d = {'cat': 15, 'dog': 9, 'parrot': 6} I'd like to improve Paul Seeb's answer: tps = [('cat',5),('dog',9),('cat',4),('parrot',6),('cat',6)] result = {} for k, v in tps:

I have the following table: T(ID primary key, A, B) I want to have pair (A, B) unique but I don't want to have constraint unique(A,B) on them because it will give error on insert. Instead I want MySQL to silently ignore such inserts. I can't use "insert on duplicate keys ignore" because I can't control client's queries. So, can I build such trigger? Or maybe there is some constraint that allows silent ignore? Edit: I dug around and I think I want something like SQLite's "Raise Ignore" statement. Before mysql 5.5. it wasn't possible to stop an insert inside a trigger. There where some ugly work

I have an unsorted array of integers where the value is ranging from Integer.MIN_VALUE to Integer.MAX_VALUE. There can be multiple duplicates of any integer in the array. I need to return an array with all duplicates removed and also maintain the order of elements. example: int[] input = {7,8,7,1,9,0,9,1,2,8} output should be {7,8,1,9,0,2} I know this problem can be solved using LinkedHashSet but I need a solution which doesn't involve significant buffer space. You can use java 8 Arrays stream.distinct() method to get distinct values from array and it will remain the input order only public

I am trying to save all of the contacts on a phone to the sdcard as a .vcf file (vCard). It works, but I have a problem. Every contact that has more than one phone number (a mobile and work number) are saved twice. And both of the numbers are in each duplicate contact, so they are correct, just duplicated. Can someone please tell me how to fix this problem? My code is: File delete=new File(Environment.getExternalStorageDirectory()+"/Contacts.vcf"); if (delete.exists()) { delete.delete(); } Cursor phones = ContactService.this.getContentResolver().query(ContactsContract.CommonDataKinds.Phone