duplicates

问题 I have an array of arrays - information about selection in Excel using VSTO, where each element means start and end selection position. For example, int[][] selection = { new int[] { 1 }, // column A new int[] { 6 }, // column F new int[] { 6 }, // column F new int[] { 8, 9 } // columns H:I new int[] { 8, 9 } // columns H:I new int[] { 12, 15 } // columns L:O }; Could you please help me to find a way, maybe using LINQ or Extension methods, to remove duplicated elements? I mean: F and F , H:I

问题 How do i suppress duplicate entries in both classical (write) and ALV report? I was given a task to write a simple report with this criteria. I tried to google but could not succeed with any of their solutions and need help. Below is the expected result. original report: -------------------------------------- |Sales Org | Dist.Channel | Division | -------------------------------------- |1000 |10 |00 | |1000 |10 |00 | |1000 |10 |00 | |1020 |22 |00 | |1020 |22 |00 | ----------------------------

问题 In some special cases you will need a list of textboxes (to deal with n - n associations) whose id is not know before runtime. Something like this : http://screencast.com/t/YjIxNjUyNmU In that particular sample I'm looking to associate a count to some of my 'templates'. in ASP.Net MVC 1 I coded a Dictionary ModelBinder to have a clean and intuitive HTML. It allowed things like this : // loop on the templates foreach(ITemplate template in templates) { // get the value as text int val; content

问题 Here is my XML file: it contains a duplicated element <houseNum>0</houseNum> . <?xml version="1.0" encoding="utf-8"?> <ArrayOfHouse> <XmlForm> <houseNum>0</houseNum> <plan1> <coord> <X> 1.2 </X> <Y> 2.1 </Y> <Z> 3.0 </Z> </coord> <color> <R> 255 </R> <G> 0 </G> <B> 0 </B> </color> </plan1> <plan2> <coord> <X> 21.2 </X> <Y> 22.1 </Y> <Z> 31.0 </Z> </coord> <color> <R> 255 </R> <G> 0 </G> <B> 0 </B> </color> </plan2> </XmlForm> <XmlForm> <houseNum>0</houseNum> <plan1> <coord> <X> 1.2 </X> <Y> 2

问题 I have a txt file with 12 columns. Some lines are duplicated and some are not. As an example i copied to first 4 columns of my data. 0 0 chr12 48548073 0 0 chr13 80612840 2 0 chrX 4000600 2 0 chrX 31882528 3 0 chrX 3468481 4 0 chrX 31882726 4 0 chr3 75007624 Based on the first column, you can see that some there are duplicates except entry '3'. I would like to print the only single entries, in this case '3'. The output will be 3 0 chrX 3468481 IS there a quick way of doing this with awk or

问题 I am new to R programming and I need a help to delete the entire row based on the value of a single column. I want to delete the row, if a value in a single column is equal to the previous row value. The following is my data, x.id x.timestamp x.count 71 1 1435114605 61 72 1 1435114606 61 73 1 1435114659 61 74 1 1435114719 62 75 1 1435114726 62 76 1 1435114780 62 77 1 1435155998 62 78 1 1435156059 62 79 1 1435156076 62 80 1 1435156119 62 Here I want to delete the rows based on the x$x.count

问题 I have a table of venues where each can have many offers. I have a form which adds offers to venues from the venues edit page. Once I submit the form the newly created offer is shown as a partial but instead of the form clearing to allow another offer to be entered, another form is created. So if I enter 5 offers I have 6 add new offer forms, 5 of them with the details entered into the saved ones. My code looks like this: venue model class Venue < ActiveRecord::Base has_many :offers accepts

问题 I'm using the following query to return all duplicate records with the same first and last name. The trick is that the contact_id, has to be in descending order. The query returns the contacts as expected, but it is just SO SLOW! Takes about 6-8 seconds when checking around 30,000 records. I have the contact_firstName, contact_lastName, contact_client_id, and contact_id all indexed in the database. Any ideas what I could do to try and speed this up a bit? Thanks for your help :) SELECT z

问题 Using the example here Drop all duplicate rows in Python Pandas Lets say I don't want to drop the duplicates but change the value of the data in one of the columns in the subset. So as per the example, if we use subset=['A','C'] to identify duplicates then I want to change row 1 column 'A' from foo to foo1. I have a complicated way of doing this but there must be a more simple way that takes advantage of vectorization/built-in features. Original df: A B C 0 foo 0 A 1 foo 1 A 2 foo 1 B 3 bar 1

问题 I have a table transcription which contains passages of transcribed text and their citations with columns: text, transcription_id(PK), t_notes, citation and the second table town_transcription being the relationship table that links places (from another table) referenced in the text to that transcription record. This table has the columns: town_id(FK), transcription_id(FK), confidence_interval Many of these passages of text reference multiple towns, but stupidly I just duplicated records and