merge

问题 because I did something really bad in the past, I have to insert an empty commit at beginning for a rebase. When doing the described steps of the solution (found here Insert a commit before the root commit in Git?) I struggle at the rebase command because of many merge-conflicts. Some are so complicated that it is almost impossible for me to solve them. Most of them have following structure: --A---B---C-- B changes file 'foo.txt' \ / D and E change file 'file.txt' D---E git rebase tries to

问题 Using this script I have created a specific folder for each csv file and then saved all my further analysis results in this folder. The name of the folder and csv file are same. The csv files are stored in the main/master directory. Now, I have created a csv file in each of these folders which contains a list of all the fitted values. I would now like to do the following: Set the working directory to the particular filename Read fitted values file Add a row/column stating the name of the site

问题 I investigated and stripped down my previous question (Is there a way to avoid conversion from YUV to BGR?). I want to overlay few images (format is YUV) on the resulting, bigger image (think about it like it is a canvas) and send it via network library (OPAL) forward without converting it to to BGR. Here is the code: Mat tYUV; Mat tClonedYUV; Mat tBGR; Mat tMergedFrame; int tMergedFrameWidth = 1000; int tMergedFrameHeight = 800; int tMergedFrameHalfWidth = tMergedFrameWidth / 2; tYUV = Mat

问题 Is there a good way to concatenate a list of DataFrames where the columns are not regular between DataFrames? The desired outcome is to match up all columns that are a match but to keep the ones that have no match off to the side. The reason you would want to keep the unmatched columns is because while there may not be a match on a given column between the 1st and 2nd dataframes in the list there may be a match between the 1st and 3rd. Thus discarding prematurely on the first lack of match

问题 Is there a good way to concatenate a list of DataFrames where the columns are not regular between DataFrames? The desired outcome is to match up all columns that are a match but to keep the ones that have no match off to the side. The reason you would want to keep the unmatched columns is because while there may not be a match on a given column between the 1st and 2nd dataframes in the list there may be a match between the 1st and 3rd. Thus discarding prematurely on the first lack of match

问题 I have a concatenated pandas dataframe from 4 dataframes like this: In [121]: all Out[121]: E H N S 102P Y NaN NaN NaN 103R Y NaN NaN NaN 102P NaN NaN Y NaN 103R NaN NaN Y NaN 109F NaN NaN Y NaN 103R NaN Y NaN NaN 109F NaN Y NaN NaN 102P NaN NaN NaN Y 103R NaN NaN NaN Y 109F NaN NaN NaN Y I want to consolidate this into a dataframe like this: E H N S 102P Y NAN Y Y 103R Y Y Y Y 109F NAN Y Y Y How can I merge them based on all.index? 回答1: Do a groupby on the index (I presume from the data you

问题 So I'm not sure what it's called, but I need to figure out how best to do an update that may involve insert, update, and delete operations. Here's the situation: My application has POJO's that are stored in the database. These objects may include lists of other objects that are also stored in the database. For example, a Bag object might have a list of Item objects. I want to be able to update the Bag. However, there are 3 possible situations: All the Items in the Bag are already in the

问题 So I'm not sure what it's called, but I need to figure out how best to do an update that may involve insert, update, and delete operations. Here's the situation: My application has POJO's that are stored in the database. These objects may include lists of other objects that are also stored in the database. For example, a Bag object might have a list of Item objects. I want to be able to update the Bag. However, there are 3 possible situations: All the Items in the Bag are already in the

问题 I would like to show outcome of these 2 queries in one table. SELECT {[Measures].[Udzial Wieznia w Aktywnosci Count]} ON COLUMNS, {[Aktywnosc].[Id Wiezienia].Members} ON ROWS FROM [Wiezienia HD2] WHERE [Udzial Wieznia w Aktywnosci].[Id Ucieczki].[2] : [Udzial Wieznia w Aktywnosci].[Id Ucieczki].[101] and SELECT {[Measures].[Udzial Wieznia w Aktywnosci Count]} ON COLUMNS, {[Aktywnosc].[Id Wiezienia].Members} ON ROWS FROM [Wiezienia HD2] First one shows how many escapes from jail there were in

问题 I would like to show outcome of these 2 queries in one table. SELECT {[Measures].[Udzial Wieznia w Aktywnosci Count]} ON COLUMNS, {[Aktywnosc].[Id Wiezienia].Members} ON ROWS FROM [Wiezienia HD2] WHERE [Udzial Wieznia w Aktywnosci].[Id Ucieczki].[2] : [Udzial Wieznia w Aktywnosci].[Id Ucieczki].[101] and SELECT {[Measures].[Udzial Wieznia w Aktywnosci Count]} ON COLUMNS, {[Aktywnosc].[Id Wiezienia].Members} ON ROWS FROM [Wiezienia HD2] First one shows how many escapes from jail there were in