duplicates

问题 I have got in one string like 800 adress emails. They are separated by semicolon. How should I do it to delete duplicates in that string? 回答1: Please update your question to show what you have already tried. It is very possible that your current code only needs a bit of tweaking. Below is a more general way to accomplish what you're after, but like I said, there may be an easier way to fix your current code and you won't really learn by copying and pasting code. Function RemoveDuplicates(rng

问题 I have a List of Key Value pairs in my project. I would like to search that List<KeyValuePair<String,object>> and find any duplicate keys and get both that key and value using a C# lambda expressions. Does anybody know how to do that? This is my Sample code list = List<KeyValuePair<string, Object>> I need to search this list and get any item(s) of KeyValuePair<string, Object> with the duplicate key(String). Any help would be greatly appreciated 回答1: IEnumerable<IGrouping<string, KeyValuePair

问题 I have a List of Key Value pairs in my project. I would like to search that List<KeyValuePair<String,object>> and find any duplicate keys and get both that key and value using a C# lambda expressions. Does anybody know how to do that? This is my Sample code list = List<KeyValuePair<string, Object>> I need to search this list and get any item(s) of KeyValuePair<string, Object> with the duplicate key(String). Any help would be greatly appreciated 回答1: IEnumerable<IGrouping<string, KeyValuePair

问题 Imagine that I've got the following DataFrame A | B | C | D ------------------------------- 2000-01-01 00:00:00 | 1 | 1 | 1 2000-01-01 00:04:30 | 1 | 2 | 2 2000-01-01 00:04:30 | 2 | 3 | 3 2000-01-02 00:00:00 | 1 | 4 | 4 And I want to drop rows where B are equal, and the values in A are "close". Say, withing five minutes of each other. So in this case the first two rows, but keep the last two. So, instead of doing df.dropna(subset=['A', 'B'], inplace=True, keep=False) , I'd like something that

问题 Imagine that I've got the following DataFrame A | B | C | D ------------------------------- 2000-01-01 00:00:00 | 1 | 1 | 1 2000-01-01 00:04:30 | 1 | 2 | 2 2000-01-01 00:04:30 | 2 | 3 | 3 2000-01-02 00:00:00 | 1 | 4 | 4 And I want to drop rows where B are equal, and the values in A are "close". Say, withing five minutes of each other. So in this case the first two rows, but keep the last two. So, instead of doing df.dropna(subset=['A', 'B'], inplace=True, keep=False) , I'd like something that

问题 This question already has answers here : Generating Unique Random Numbers in Java (21 answers) Closed 4 years ago . I have been banging my head for two days now trying to make sure the random generator method won't generate a duplicate. This I had to do with loops only without importing any libraries. I have come to this solution, will this code generate a duplicate on the long run? If yes please help. int[] vargu1 = new int[5]; for (int i = 0; i < vargu1.length; i++) { int numriSekret = (int

问题 I want to divide numbers into unique sorted digits. For example, the number can be 127425 and I would like 12457 as the result, meaning sorted and duplicate removed. I think the best is to explain with example: +---------+--------+ | Number | Result | +---------+--------+ | 127425 | 12457 | +---------+--------+ | 2784425 | 24578 | +---------+--------+ | 121 | 12 | +---------+--------+ | 22222 | 2 | +---------+--------+ | 9271 | 1279 | +---------+--------+ The longest result can be only

问题 I want to divide numbers into unique sorted digits. For example, the number can be 127425 and I would like 12457 as the result, meaning sorted and duplicate removed. I think the best is to explain with example: +---------+--------+ | Number | Result | +---------+--------+ | 127425 | 12457 | +---------+--------+ | 2784425 | 24578 | +---------+--------+ | 121 | 12 | +---------+--------+ | 22222 | 2 | +---------+--------+ | 9271 | 1279 | +---------+--------+ The longest result can be only

来源： https://stackoverflow.com/questions/63071923/remove-duplicate-rows-in-nested-list-data-frame

来源： https://stackoverflow.com/questions/35344452/remove-repeated-numbers-in-a-sequence