duplicates

问题 I have a big dataframe with columns such as: ID, time, OS, IP Each row of that dataframe corresponds to one entry. Within that dataframe for some IDs several entries (rows) exist. I would like to get rid of those multiple rows (obviously the other attributes will differ for the same ID). Or put different: I only want one single entry (row) for each ID. When I use unique on the ID column, I only receive the levels (or each unique ID), but I want to keep the other attributes as well. I have

问题 I have following array where I am trying to merge the elements which has shelf and weight value as duplicate and sum the value of piece key. Array ( [0] => Array ( [shelf] => Left [weight] => 10.000 [piece] => 1 ) [1] => Array ( [shelf] => Right [weight] => 04.000 [piece] => 12 ) [2] => Array ( [shelf] => Right [weight] => 04.000 [piece] => 4 ) [3] => Array ( [shelf] => Right [weight] => 07.000 [piece] => 8 ) ) Currently I am getting following desired output with help of following SQL

问题 I have an issue with my TableView and its items. I have created a small Dialog window to display warnings about my app, and inside the Dialog I have a TableView which displays the name of the warning and some information about it upon clicking on a button. I have created a WarningUtil class ( Singleton pattern) just to open / close the Dialog . The relevant code follows. The constructor of the WarningUtil class (called once only) : private WarningUtil(RootCtrl rootCtrl) { this.rootCtrl =

问题 I have this code that works great and does what I want, however it does it in linear form which is way to slow for the size of my data files so I want to convert it to Log. I tried this code and many others posted here but still no luck at getting it to work. I will post both sets of code and give examples of what I expect. import pandas import fileinput '''This code runs fine and does what I expect removing duplicates from big file that are in small file, however it is a linear function.'''

问题 I need a little bit of homework help. I have to write a function that combines several dictionaries into new dictionary. If a key appears more than once; the values corresponding to that key in the new dictionary should be a unique list. As an example this is what I have so far: f = {'a': 'apple', 'c': 'cat', 'b': 'bat', 'd': 'dog'} g = {'c': 'car', 'b': 'bat', 'e': 'elephant'} h = {'b': 'boy', 'd': 'deer'} r = {'a': 'adam'} def merge(*d): newdicts={} for dict in d: for k in dict.items(): if

问题 This question already has answers here : Java Scanner class reading strings (5 answers) Closed 5 years ago . I got the following code: int nnames; String names[]; System.out.print("How many names are you going to save: "); Scanner in = new Scanner(System.in); nnames = in.nextInt(); names = new String[nnames]; for (int i = 0; i < names.length; i++){ System.out.print("Type a name: "); names[i] = in.next(); } System.out.println(names[0]); When I run this code, the scanner will only pick up the

问题 This question already has answers here : Java Scanner class reading strings (5 answers) Closed 5 years ago . I got the following code: int nnames; String names[]; System.out.print("How many names are you going to save: "); Scanner in = new Scanner(System.in); nnames = in.nextInt(); names = new String[nnames]; for (int i = 0; i < names.length; i++){ System.out.print("Type a name: "); names[i] = in.next(); } System.out.println(names[0]); When I run this code, the scanner will only pick up the

问题 I have a data frame in R that is supposed to have duplicates. However, there are some duplicates that I would need to remove. In particular, I only want to remove row-adjacent duplicates, but keep the rest. For example, suppose I had the data frame: df = data.frame(x = c("A", "B", "C", "A", "B", "C", "A", "B", "B", "C"), y = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)) This results in the following data frame x y A 1 B 2 C 3 A 4 B 5 C 6 A 7 B 8 B 9 C 10 In this case, I expect there to be repeating "A, B

问题 I have a data frame in R that is supposed to have duplicates. However, there are some duplicates that I would need to remove. In particular, I only want to remove row-adjacent duplicates, but keep the rest. For example, suppose I had the data frame: df = data.frame(x = c("A", "B", "C", "A", "B", "C", "A", "B", "B", "C"), y = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)) This results in the following data frame x y A 1 B 2 C 3 A 4 B 5 C 6 A 7 B 8 B 9 C 10 In this case, I expect there to be repeating "A, B

问题 This question already has answers here : How do I remove repeated elements from ArrayList? (38 answers) Closed 6 years ago . I have a very lengthy ArrayList comprised of objects some of them however, are undoubtedly duplicates. What is the best way of finding and removing these duplicates. Note: I have written a boolean-returning compareObjects() method. 回答1: Example List<Item> result = new ArrayList<Item>(); Set<String> titles = new HashSet<String>(); for( Item item : originalList ) { if(