duplicates

Pandas find Duplicates in cross values

自古美人都是妖i 提交于 2019-12-01 18:04:44
I have a dataframe and want to eliminate duplicate rows, that have same values, but in different columns: df = pd.DataFrame(columns=['a','b','c','d'], index=['1','2','3']) df.loc['1'] = pd.Series({'a':'x','b':'y','c':'e','d':'f'}) df.loc['2'] = pd.Series({'a':'e','b':'f','c':'x','d':'y'}) df.loc['3'] = pd.Series({'a':'w','b':'v','c':'s','d':'t'}) df Out[8]: a b c d 1 x y e f 2 e f x y 3 w v s t Rows [1],[2] have the values {x,y,e,f}, but they are arranged in a cross - i.e. if you would exchange columns c,d with a,b in row [2] you would have a duplicate. I want to drop these lines and only keep

Find the most repeated row in a matrix

醉酒当歌 提交于 2019-12-01 17:45:50
I have about 10000 replicates of a sample in a matrix. My matrix has 1000 rows and 6 columns. Numbers in the columns range from 0:58 depending on the sample. actual.prob <- c(.14, .14, .16, .13, .19, .24) million.rep <- replicate(10000, sample(1:6, 58, replace= T, actual.prob)) new.matrix <- matrix(nrow= 10000, ncol=6) for(i in 1:10000){ new.matrix[i,] <- as.vector(table(factor(million.rep[,i], levels=1:6))) } new.matrix[1:10,] [,1] [,2] [,3] [,4] [,5] [,6] [1,] 3 7 11 11 11 15 [2,] 7 6 12 5 19 9 [3,] 12 7 6 8 11 14 [4,] 6 7 16 6 11 12 [5,] 5 9 12 5 14 13 [6,] 9 4 14 7 10 14 [7,] 6 9 9 6 15 13

Delete duplicate elements from Array in Javascript [duplicate]

落爺英雄遲暮 提交于 2019-12-01 17:14:49
问题 This question already has answers here : How to get distinct values from an array of objects in JavaScript? (42 answers) Get all unique values in a JavaScript array (remove duplicates) (82 answers) Closed 3 years ago . I have array with obejcts email and Id so I want delete duplicate elements who have similar ID's. Example: var newarray=[ { Email:"test1@gmail.com", ID:"A" }, { Email:"test2@gmail.com", ID:"B" }, { Email:"test3@gmail.com", ID:"A" }, { Email:"test4@gmail.com", ID:"C" }, { Email:

Oracle 'INSERT ALL' ignore duplicates

依然范特西╮ 提交于 2019-12-01 17:10:34
I have a database table with a unique constraint on it (unique (DADSNBR, DAROLEID) pair). I am going to be inserting multiple values into this table simultaneously, so I'd like to get it done using one query - I'm assuming this would be the faster way. My query is thus: INSERT ALL INTO ACCESS (DADSNBR, DAROLEID) VALUES (68, 1) INTO ACCESS (DADSNBR, DAROLEID) VALUES (68, 2) INTO ACCESS (DADSNBR, DAROLEID) VALUES (68, 3) INTO ACCESS (DADSNBR, DAROLEID) VALUES (68, 4) SELECT 1 FROM DUAL Since there are some entries within the statement that are duplicates of those already in the database, the

HashSet allows duplicates

生来就可爱ヽ(ⅴ<●) 提交于 2019-12-01 15:47:28
问题 I can't seem to get a HashSet instance to work as expected. The code I used is as follows: import testing.Subclass; import java.util.HashSet; public class tester { public static void main(String[] args) throws Exception { HashSet<Subclass> set = new HashSet<Subclass>(); set.add(new Subclass("007812")); set.add(new Subclass("007813")); System.out.println("Set size " + set.size()); set.add(new Subclass("007812")); System.out.println("Set size " + set.size()); for(Subclass sub : set) { System

Replacing a HashSet Java member

不问归期 提交于 2019-12-01 15:40:38
I have Set of that structure. I do not have duplicates but when I call: set.add(element) -> and there is already exact element I would like the old to be replaced. import java.io.*; public class WordInfo implements Serializable { File plik; Integer wystapienia; public WordInfo(File plik, Integer wystapienia) { this.plik = plik; this.wystapienia = wystapienia; } public String toString() { // if (plik.getAbsolutePath().contains("src") && wystapienia != 0) return plik.getAbsolutePath() + "\tWYSTAPIEN " + wystapienia; // return ""; } @Override public boolean equals(Object obj) { if(this == obj)

Is a python dict comprehension always “last wins” if there are duplicate keys

筅森魡賤 提交于 2019-12-01 15:32:45
问题 If I create a python dictionary with a dict comprehension, but there are duplicate keys, am I guaranteed that the last item will the the one that ends up in the final dictionary? It's not clear to me from looking at https://www.python.org/dev/peps/pep-0274/? new_dict = {k:v for k,v in [(1,100),(2,200),(3,300),(1,111)]} new_dict[1] #is this guaranteed to be 111, rather than 100? 回答1: Last item wins. The best documentation I can find for this is in the Python 3 language reference, section 6.2.7

Swift: How can I remove duplicates from an array of doubles?

回眸只為那壹抹淺笑 提交于 2019-12-01 14:52:23
I have an array of values like [0.75, 0.0050000000000000001, 0.0050000000000000001, 0.0050000000000000001, 0.0050000000000000001, 0.0050000000000000001, 0.0040000000000000001, ...] and I need to remove the duplicates. I only want to focus on the first 3 digits after the decimal point. How do I do this? You can use NumberFormatter to fix the minimum and maximum fraction digits and use a set to filter the duplicate elements: let array = [0.75, 0.0050000000000000001, 0.0050000000000000001, 0.0050000000000000001, 0.0050000000000000001, 0.0050000000000000001, 0.0040000000000000001] let

Removing duplicate values within a comma separated list in PHP

早过忘川 提交于 2019-12-01 13:50:53
问题 How can I remove duplicate values within a comma separated list in PHP? I have 2 versions of a customer questionnaire - one is more detailed than the other - and in one they are asked the items they like and in the other they are asked to specify the items they like in ranked order. In this particular example, one of the columns ('items_like') may contain several values in a comma separated list. There are two other scenarios where each of the columns may contain several values in a comma

Removing duplicate values within a comma separated list in PHP

做~自己de王妃 提交于 2019-12-01 13:50:30
How can I remove duplicate values within a comma separated list in PHP? I have 2 versions of a customer questionnaire - one is more detailed than the other - and in one they are asked the items they like and in the other they are asked to specify the items they like in ranked order. In this particular example, one of the columns ('items_like') may contain several values in a comma separated list. There are two other scenarios where each of the columns may contain several values in a comma separated list. In order to display a list of all the items a customer likes, I am concatenating the 4