merge

问题 var Arr1 = [1,3,4,5,6]; var Arr2 = [4,5,6,8,9,10]; I am trying to do merge these two arrays and output coming is [1,3,4,5,6,4,5,6] I have used $.merge(Arr1, Arr2); this piece to merge them. Using alert I can see the merged array like above. Now my question is how can I get the following output: [1,3,4,5,6,8,9,10] i.e. the elements should be unique as well as sorted in the same manner I have mentioned. Please help. 回答1: You can use Array.prototype.sort() to do a real numeric sort and use Array

问题 I've worked myself into a situation that is not making sense to me. I'll try to describe it as best I can. I have a development branch and I've merged master into it via git checkout develpment && git merge master . I didn't get any merge conflicts here. There is a specific commit that I'm interested in, let's say it's abcd123 . When I run git branch --contains abcd123 , it reports that both development and master contain abcd123 . When I do git log , it shows abcd123 in the list of commits,

问题 I've worked myself into a situation that is not making sense to me. I'll try to describe it as best I can. I have a development branch and I've merged master into it via git checkout develpment && git merge master . I didn't get any merge conflicts here. There is a specific commit that I'm interested in, let's say it's abcd123 . When I run git branch --contains abcd123 , it reports that both development and master contain abcd123 . When I do git log , it shows abcd123 in the list of commits,

问题 I have hundreds of large CSV files that I would like to merge into one. However, not all CSV files contain all columns. Therefore, I need to merge files based on column name, not column position. Just to be clear: in the merged CSV, values should be empty for a cell coming from a line which did not have the column of that cell. I cannot use the pandas module, because it makes me run out of memory. Is there a module that can do that, or some easy code? 回答1: The csv.DictReader and csv

问题 I have hundreds of large CSV files that I would like to merge into one. However, not all CSV files contain all columns. Therefore, I need to merge files based on column name, not column position. Just to be clear: in the merged CSV, values should be empty for a cell coming from a line which did not have the column of that cell. I cannot use the pandas module, because it makes me run out of memory. Is there a module that can do that, or some easy code? 回答1: The csv.DictReader and csv

问题 I have a branch called demo which I need to merge with master branch. I can get the desired result with following commands: git pull origin demo git checkout master git pull origin master git merge demo git push origin master My only concern is, if there are any merge issues , I want to tell git to overwrite changes in master branch without giving me merge prompt. So basically changes in demo branch should automatically overwrite changes in master branch. I looked around there are multiple

问题 Basic Problem I just deleted ALL the code from a file in my project and committed the change to my local git (on purpose). I did git pull upstream master to fetch and merge from upstream (so in theory that deleted code should be back). Git tells me everything is up to date. Everything is definitely NOT up to date -- all that deleted code is still deleted. Other Relevant Info I only have one branch called "master". I recently set up "master" to track upstream like so: Branch master set up to

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed last month . I've been looking at a lot of posts and haven't quite found what I'm looking for. I'm not sure how to go about taking the following sample data: host1 input nic1 ip1 ip2 PROT 30000 10 host1 input nic1 ip1 ip2 PROT 40000 10 host1 input nic1 ip1 ip2 PROT 50000 10 host1 input nic1 ip1

问题 I have file1 likes: 1 A aa 2 A bb 3 A cc 4 A dd 5 B xx 6 C yy 7 C zz And a file2: 1 A 11 2 B 22 3 C 33 And I would like to merge file1 and file 2 into a file3 based on the 2nd column, such that: 1 A aa 11 2 A bb 11 3 A cc 11 4 A dd 11 5 B xx 22 6 C yy 33 7 C zz 33 Which way is the simplest? Thank you. 回答1: Using pandas will save you a lot of time if you use Python. So if your DataFrames are df1 : 1 2 0 1 A aa 2 A bb 3 A cc 4 A dd 5 B xx 6 C yy 7 C zz and df2 : 1 2 0 1 A 11 2 B 22 3 C 33 then

问题 my studies project is to develop a neural network to recognize text on license plates. Therefore, I found the ReId-dataset at https://medusa.fit.vutbr.cz/traffic/research-topics/general-traffic-analysis/holistic-recognition-of-low-quality-license-plates-by-cnn-using-track-annotated-data-iwt4s-avss-2017/. This dataset contains a bunch of images of number plates as well as the text of the license plates and was used by Spanhel et al. for a similar approach as the one I have in mind. Example of