merge

Merge multiple dataframes based on a common column [duplicate]

谁都会走 提交于 2020-07-18 09:22:05
问题 This question already has answers here : Pandas Merging 101 (2 answers) Closed 2 years ago . I have Three dataframes. All of them have a common column and I need to merge them based on the common column without missing any data Input >>>df1 0 Col1 Col2 Col3 1 data1 3 4 2 data2 4 3 3 data3 2 3 4 data4 2 4 5 data5 1 4 >>>df2 0 Col1 Col4 Col5 1 data1 7 4 2 data2 6 9 3 data3 1 4 >>>df3 0 Col1 Col6 Col7 1 data2 5 8 2 data3 2 7 3 data5 5 3 Expected Output >>>df 0 Col1 Col2 Col3 Col4 Col5 Col6 Col7

Mapping a dataframe based on the columns from other dataframe

随声附和 提交于 2020-07-14 07:05:26
问题 I have two DataFrames . One looks like this: df1.head() #CHR Start End Name chr1 141474 173862 SAP chr1 745489 753092 ARB chr1 762988 794826 SAS chr1 1634175 1669127 ETH chr1 2281853 2284259 BRB And the second DataFrame looks as follows: df2.head() #chr start end chr1 141477 173860 chr1 745500 753000 chr16 56228385 56229180 chr11 101785507 101786117 chr7 101961796 101962267 I am looking to map the first three columns from two DataFrames and create a new DataFrame , df3 . For example, if #chr

Writing word documents with the officer package: How to combine several rdocx objects?

落爺英雄遲暮 提交于 2020-07-10 03:25:12
问题 I have several rdocx data objects created with the officer package in R. I want to combine these rdocx objects into only one rdocx object. Consider the following example: library("officer") # Create two rdocx data objects doc1 <- read_docx() doc1 <- doc1 %>% body_add_par("doc1_aaa", style = "Normal") %>% body_add_par("doc1_bbb", style = "Normal") %>% body_add_par("doc1_ccc", style = "Normal") doc2 <- read_docx() doc2 <- doc2 %>% body_add_par("doc2_aaa", style = "Normal") %>% body_add_par(

Joining multiple dataframes together and making sure the right numbers go to the same column

梦想的初衷 提交于 2020-07-09 14:42:09
问题 I have a few dataframes that all have a "Dirty Price" and "Factor" that I want to have in the same column. When I try to do this what happens when I join the second dataframe together then pandas creates a new "Dirty Price_x" and "Factor_x" but I don't want new columns I want them to me merged into the same column that match the criteria I specify. This is what I did: df = df.merge(gs[['CUSIP', 'temp_Counterparty','Dirty Price','Factor']], how = 'left', on = ['CUSIP', 'temp_Counterparty']) df

How to revert multiple merges in Git [duplicate]

半世苍凉 提交于 2020-07-08 22:49:27
问题 This question already has answers here : How do I revert a Git repository to a previous commit? (41 answers) Revert to a commit by a SHA hash in Git? [duplicate] (9 answers) Closed last year . I need to revert a branch to a previous point. As you can see in the following picture the branch has multiple commits and merges done. I need to revert this to the "fixing" commit. So i tried: git revert --no-commit fixingHashCode..HEAD but the it throws an error: error: commit fixingHashCode is a

how to merge strings that have certain number of substrings in common to produce some groups in a data frame in Python

不想你离开。 提交于 2020-07-07 11:12:27
问题 I asked a question like this. But that is a simple one. Which has been resolved. how to merge strings that have substrings in common to produce some groups in a data frame in Python. But here, I have an advanced version of the similar question: I have a sample data: a=pd.DataFrame({'ACTIVITY':['b,c','a','a,c,d,e','f,g,h,i','j,k,l','k,l,m']}) What I want to do is merge some strings if they have sub strings in common. So, in this example, the strings 'b,c','a','a,c,d,e' should be merged

how to merge strings that have certain number of substrings in common to produce some groups in a data frame in Python

江枫思渺然 提交于 2020-07-07 11:09:39
问题 I asked a question like this. But that is a simple one. Which has been resolved. how to merge strings that have substrings in common to produce some groups in a data frame in Python. But here, I have an advanced version of the similar question: I have a sample data: a=pd.DataFrame({'ACTIVITY':['b,c','a','a,c,d,e','f,g,h,i','j,k,l','k,l,m']}) What I want to do is merge some strings if they have sub strings in common. So, in this example, the strings 'b,c','a','a,c,d,e' should be merged

how to merge strings that have substrings in common to produce some groups in a data frame in Python

与世无争的帅哥 提交于 2020-07-07 06:59:49
问题 I have a sample data: a=pd.DataFrame({'ACTIVITY':['b,c','a','a,c,d,e','f,g,h,i','j,k,l','k,l,m']}) What I want to do is merge some strings if they have sub strings in common. So, in this example, the strings 'b,c','a','a,c,d,e' should be merged together because they can be linked to each other. 'j,k,l' and 'k,l,m' should be in one group. In the end, I hope I can have something like: group 'b,c', 0 'a', 0 'a,c,d,e', 0 'f,g,h,i', 1 'j,k,l', 2 'k,l,m' 2 So, I can have three groups and there is

A separate commit for conflict resolution with git merge

那年仲夏 提交于 2020-07-06 07:48:27
问题 I'm trying to merge a big topic branch into the master, but I want a separate commit that shows how the conflict resolution happened. The goal is to have one commit that shows "these files conflicted and how they conflicted" and the next commit would show "this is how the conflicts were resolved". I.e. the first commit would contain the conflict markers . The reason for this is that the big topic branch has been reviewed and tested, as has the master branch. Of the merge, we want to review

A separate commit for conflict resolution with git merge

丶灬走出姿态 提交于 2020-07-06 07:46:18
问题 I'm trying to merge a big topic branch into the master, but I want a separate commit that shows how the conflict resolution happened. The goal is to have one commit that shows "these files conflicted and how they conflicted" and the next commit would show "this is how the conflicts were resolved". I.e. the first commit would contain the conflict markers . The reason for this is that the big topic branch has been reviewed and tested, as has the master branch. Of the merge, we want to review