merge

问题 breakApart() works fine, but I'd like to fill the empty cells with merged cell's data. var sheet = SpreadsheetApp.getActiveSheet(); var sheetRange = sheet.getRange(1, 1, sheet.getMaxRows(), sheet.getMaxColumns()); sheetRange.breakApart(); I got the value I need, but how can I get the cells to fill? var value = (cell.isPartOfMerge() ? cell.getMergedRanges()[0].getCell(1,1) : cell).getValue(); 回答1: If you already have the value, You can setValue() the desired value over the entire range and all

问题 We have two Git repositories. Repo 1. Commits: A, B, C. This repository was created from SVN history. Repo 2. Commits: D, E, F. This repository was created without SVN history, just by using the working copy (as of commit C) which became the commit D. In another words, the file trees of the commits C und D are the same. Now, we want to merge both repositories so we have the full history in one repository. Is there a way to "copy/rebase/something else" all the commits E..F onto C? 回答1: The

问题 I've been trying to merge two ts objects, the second one starts exactly one period after the next one. For example, take the following two time series ts1<-ts(c(1:12),star=c(2014,1),freq=12) ts2<-ts(c(13:24),star=c(2015,1),freq=12) As you can see, both of them match perfectly in order to make a single ts out of this two ts objects. I thought the logical answer would be the rbind() function. But it makes a matrix out of them, as follows... > rbind(ts1,ts2) [,1] [,2] [,3] [,4] [,5] [,6] [,7] [

问题 This question already has answers here : How to write the dataframes in a list to a single csv file (2 answers) Closed 4 years ago . I'm trying to use the Reduce function in R to use the merge function across multiple dataframes. The problem is, I would like to use the merge function with the argument all=T , and there seems to be nowhere to specify this in the higher-order Reduce function. So I'd like: a <- data.frame(id=c(1, 2, 3, 4), a=c('a', 'b', 'c', 'd')) b <- data.frame(id=c(1, 2, 5, 6

问题 This question already has answers here : How to write the dataframes in a list to a single csv file (2 answers) Closed 4 years ago . I'm trying to use the Reduce function in R to use the merge function across multiple dataframes. The problem is, I would like to use the merge function with the argument all=T , and there seems to be nowhere to specify this in the higher-order Reduce function. So I'd like: a <- data.frame(id=c(1, 2, 3, 4), a=c('a', 'b', 'c', 'd')) b <- data.frame(id=c(1, 2, 5, 6

问题 This question already has answers here : How to write the dataframes in a list to a single csv file (2 answers) Closed 4 years ago . I'm trying to use the Reduce function in R to use the merge function across multiple dataframes. The problem is, I would like to use the merge function with the argument all=T , and there seems to be nowhere to specify this in the higher-order Reduce function. So I'd like: a <- data.frame(id=c(1, 2, 3, 4), a=c('a', 'b', 'c', 'd')) b <- data.frame(id=c(1, 2, 5, 6

问题 I want a diff of all changes in a branch that is not merged to master yet. I tried: git diff master git diff branch..master git diff branch...master However, in each of these cases the diff contains content in master that has not been merged into my branch yet. Is there a way to do a diff between my branch and master that excludes changes in master that have not been merged into my branch yet? 回答1: git diff `git merge-base master branch`..branch Merge base is the point where branch diverged

问题 I have branch Master , branchA and branchB . Now I'm working in the branchA and I need to merge branchA with branchB and proceed my work in the branchA . All files are comitted in the branchA and branchB . What's the fast way to implement it? 回答1: If I understood your question, you want to merge branchB into branchA . To do so, first checkout branchA like below, git checkout branchA Then execute the below command to merge branchB into branchA : git merge branchB 回答2: Here's a clear picture:

问题 I have branch Master , branchA and branchB . Now I'm working in the branchA and I need to merge branchA with branchB and proceed my work in the branchA . All files are comitted in the branchA and branchB . What's the fast way to implement it? 回答1: If I understood your question, you want to merge branchB into branchA . To do so, first checkout branchA like below, git checkout branchA Then execute the below command to merge branchB into branchA : git merge branchB 回答2: Here's a clear picture:

问题 I have mydf1 <- data.frame(ID = c(1,2,3,4,5), color = c("red", NA, NA, NA, "green"), name = c("tom", "dick", "harry", "steve", "mike")) mydf2 <- data.frame(ID = c(1,2,99), color = c("red", "orange", "yellow"), name = c("tom", "dick", "Aaron")) I would like to update mydf1$color with the corresponding color from mydf2 for any rows that match on both ID and name. The desired output would be to update the color in row 2 to orange and leave the rest as is: ID color name 1 1 red tom 2 2 orange