It seems there is still a pending question in the thread: How to do it globally (i.e. for all branches) ? For the records, we can use the following: git config –add merge.ff false …to make it apply to all branches in the current repository. To make it apply to all branches in all repositories … Read more
Zero’s answer is basically a reduce operation. If I had more than a handful of dataframes, I’d put them in a list like this (generated via list comprehensions or loops or whatnot): dfs = [df0, df1, df2, …, dfN] Assuming they have a common column, like name in your example, I’d do the following: import … Read more
KDiff3 open source, cross platform Same interface for Linux and Windows, very smart algorithm for solving conflicts, regular expressions for automatically solving conflicts, integrate with ClearCase, SVN, Git, MS Visual Studio, editable merged file, compare directories Its keyboard-navigation is great: ctrl-arrows to navigate the diffs, ctrl-1, 2, 3 to do the merging. Also, see https://stackoverflow.com/a/2434482/42473
The MERGE statement merges data between two tables. Using DUAL allows us to use this command. Note that this is not protected against concurrent access. create or replace procedure ups(xa number) as begin merge into mergetest m using dual on (a = xa) when not matched then insert (a,b) values (xa,1) when matched then update … Read more
Another question asked specifically how to perform multiple left joins using dplyr in R . The question was marked as a duplicate of this one so I answer here, using the 3 sample data frames below: x <- data.frame(i = c(“a”,”b”,”c”), j = 1:3, stringsAsFactors=FALSE) y <- data.frame(i = c(“b”,”c”,”d”), k = 4:6, stringsAsFactors=FALSE) z … Read more
I usually do this using zip: >>> df = pd.DataFrame([[i] for i in range(10)], columns=[‘num’]) >>> df num 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 >>> def powers(x): >>> return x, x**2, x**3, x**4, x**5, x**6 >>> df[‘p1’], df[‘p2’], df[‘p3’], df[‘p4’], df[‘p5’], … Read more
Both rebase (and cherry-pick) and merge have their advantages and disadvantages. I argue for merge here, but it’s worth understanding both. (Look here for an alternate, well-argued answer enumerating cases where rebase is preferred.) merge is preferred over cherry-pick and rebase for a couple of reasons. Robustness. The SHA1 identifier of a commit identifies it … Read more
First, checkout to your Branch3: git checkout Branch3 Then merge the Branch1: git merge Branch1 And if you want the updated commits of Branch1 on Branch2, you are probaly looking for git rebase git checkout Branch2 git rebase Branch1 This will update your Branch2 with the latest updates of Branch1.
Here’s a good workaround. Use the Edit button when viewing the PR in GitHub to change the base branch to something other than master. Then switch it back to master and it will now correctly show only the changes from the most recent commits.
In Python 2: >>> list_a = [1, 2, 3, 4] >>> list_b = [5, 6, 7, 8] >>> zip(list_a, list_b) [(1, 5), (2, 6), (3, 7), (4, 8)] In Python 3: >>> list_a = [1, 2, 3, 4] >>> list_b = [5, 6, 7, 8] >>> list(zip(list_a, list_b)) [(1, 5), (2, 6), (3, 7), (4, … Read more