merge

问题 I am trying to simulate the example on three-way merge process in git given here, Below is the figure provided explaining three-way merge. To understand this, I have created a file testfile under my git project directory and made changes as below: Commit C0 echo 'Commit #0 - master branch' >> testfile git add testfile git commit -m 'commit 0' Commit C1 echo 'Commit #1 - master branch' >> testfile git commit -a -m 'commit 1' Commit C2 echo 'Commit #2 - master branch' >> testfile git commit -a

问题 I am getting data from three different queries via Api. I want data to be merged without the duplicate data. This is my function where i am merging the data: getStaffCount(data) { if (data == null || data.results === null ) return []; else return data.results.StaffCount.map(m => ({ Name: m.Name, Accounts: m.Accounts })). concat(data.results.RepProviderAccount.map(m => ({ Name: m.Name, Accnt: m.Accnt }))). concat( data.results.ProviderAccount.map(m => ({ Name: m.Name, Account: m.Account })));

问题 I have a main dataframe(main_df) like: A B X Y Id1 0 cat cat1 catabc 0.1 uuid01 1 cat cat1 catxyz 0.4 uuid02 2 cat cat2 catpqr 0.5 uuid01 3 dog dog1 dogxyz 0.3 uuid03 4 dog dog2 dogpqr 0.2 uuid02 5 dog dog2 dogabc 0.8 uuid01 And another dataframe(map_df) which will help in mapping: A B X Y Id2 0 cat cat1 catxyz 0.4 nx01 1 cat cat1 NaN NaN nx02 2 cat NaN NaN NaN nx03 3 dog dog1 dogxyz NaN nx04 4 dog NaN NaN NaN nx05 The priority of mapping for columns will be in the order: ['A', 'B', 'X', 'Y']

问题 I have a main dataframe(main_df) like: A B X Y Id1 0 cat cat1 catabc 0.1 uuid01 1 cat cat1 catxyz 0.4 uuid02 2 cat cat2 catpqr 0.5 uuid01 3 dog dog1 dogxyz 0.3 uuid03 4 dog dog2 dogpqr 0.2 uuid02 5 dog dog2 dogabc 0.8 uuid01 And another dataframe(map_df) which will help in mapping: A B X Y Id2 0 cat cat1 catxyz 0.4 nx01 1 cat cat1 NaN NaN nx02 2 cat NaN NaN NaN nx03 3 dog dog1 dogxyz NaN nx04 4 dog NaN NaN NaN nx05 The priority of mapping for columns will be in the order: ['A', 'B', 'X', 'Y']

问题 I am trying to merge an item into an existing list in SharePoint Online, but receive the following error: "The type SP.ListItemEntityCollection does not support HTTP PATCH method." My configuration is as stated in Microsoft documentation. https://msdn.microsoft.com/en-us/library/office/jj164022.aspx Is there a problem with the permissions for this type of item in the list? How can I modify that? I have seen no references to different types, or resolving this issue. 回答1: This error usually

问题 I am trying to merge an item into an existing list in SharePoint Online, but receive the following error: "The type SP.ListItemEntityCollection does not support HTTP PATCH method." My configuration is as stated in Microsoft documentation. https://msdn.microsoft.com/en-us/library/office/jj164022.aspx Is there a problem with the permissions for this type of item in the list? How can I modify that? I have seen no references to different types, or resolving this issue. 回答1: This error usually

问题 I have two lists, list1 and list2 . Here len(list2) << len(list1) . Now I want to merge both of the lists such that every nth element of final list is from list2 and the others from list1 . For example: list1 = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'] list2 = ['x', 'y'] n = 3 Now the final list should be: ['a', 'b', 'x', 'c', 'd', 'y', 'e', 'f', 'g', 'h'] What is the most Pythonic way to achieve this? I want to add all elements of list2 to the final list, final list should include all

问题 I'm in the middle of resolving conflicts for a git merge, but I want to get back to a clean state temporarily without losing the work I've already done on the merge. If I try to git stash, I get errors for each file for which a conflict has not yet been resolved: "needs merge". Is there a good way to save the merge-in-progress? The only idea that I have is to clone the repo into a different folder, but that seems excessive. 回答1: You could use the git worktree command to add a new worktree in

问题 I have two pandas dataframes df1 = DataFrame([[0,123,321],[0,1543,432]], columns=['A', 'B','C']) df2 = DataFrame([[1,124],[1,1544]], columns=['A', 'C']) I want to merge these so that the new dataframe would look like below A | B | C 0 123 321 0 1543 432 1 null 124 1 null 1544 I have tried using append and concat but nothing seems to work. Any help would be much appreciated. 回答1: from doc-ref ref try: df1.append(df2, ignore_index=True) sample output: A B C 0 0 123 321 1 0 1543 432 2 1 NaN 124

问题 When creating a merge request in gitlab I often get a message: Request to merge branch-A into develop ([x] commits behind) what does gitlab want to tell me? should I worry or do I need to fix something (what)? 回答1: After some time a merge request is open in a project it is normal that the version of the branch you are trying to merge into becomes outdated due to other people merging their own changes to it. Gitlab helps you by showing how much the version of the branch you updated is behind