merge

来源： https://stackoverflow.com/questions/47959420/how-to-create-spouse-variable

问题 I'm trying to merge 4 dataframes based on 2 columns, but keep track of which dataframe a column originated from. I'm running into an issue at tracking the columns. (see end of post of dput(dfs)) #df example (df1) Name Color Freq banana yellow 3 apple red 1 apple green 4 plum purple 8 #create list of dataframes list.df <- list(df1, df2, df3, df4) #merge dfs on column "Name" and "Color" combo.df <- Reduce(function(x,y) merge(x,y, by = c("Name", "Color"), all = TRUE, accumulate=FALSE, suffixes =

问题 I'm trying to merge 4 dataframes based on 2 columns, but keep track of which dataframe a column originated from. I'm running into an issue at tracking the columns. (see end of post of dput(dfs)) #df example (df1) Name Color Freq banana yellow 3 apple red 1 apple green 4 plum purple 8 #create list of dataframes list.df <- list(df1, df2, df3, df4) #merge dfs on column "Name" and "Color" combo.df <- Reduce(function(x,y) merge(x,y, by = c("Name", "Color"), all = TRUE, accumulate=FALSE, suffixes =

问题 I'm trying to merge 4 dataframes based on 2 columns, but keep track of which dataframe a column originated from. I'm running into an issue at tracking the columns. (see end of post of dput(dfs)) #df example (df1) Name Color Freq banana yellow 3 apple red 1 apple green 4 plum purple 8 #create list of dataframes list.df <- list(df1, df2, df3, df4) #merge dfs on column "Name" and "Color" combo.df <- Reduce(function(x,y) merge(x,y, by = c("Name", "Color"), all = TRUE, accumulate=FALSE, suffixes =

问题 How do I merge polygon features in a shapefile with many polygons? rbind and union just combine the rows of the shapefile features, they don't actually merge the polygons themselves. Desired result in example below: How do I get the below shapefile with duplicated ID_2 to merge to a single polygon in sptemp? Example below of GADM level 2 of Ethiopia has first two rows of the shapefile ID_2 column duplicated (value=1). I'd like sptemp with 79 features combining the first two rows that are the

问题 How can I merge two different dataframes, keeping all rows from each dataframe while filling in the blanks? DF1 Name Addr Num Parent Parent_Addr Matt 123H 8 James 543F Adam 213H 9 James 543F James 321H 10 Mom 654F Andrew 512F 10 Dad 665F Faith 555A 7 None 657F DF2 Name Parent Parent_Num Parent_Addr Matt James 10 543F Adam James 10 543F James Mom 12 654F None Ian 13 656F None None None 1234 Expected output Name Addr Num Parent Parent_Num Parent_Addr Matt 123H 8 James 10 543F Adam 213H 9 James

问题 I needed to search multiple cells for a specific value and when it is found it should be returned in new column. I got an answer here; Python: find string in multiple columns and return it in new column yet this line below return the first value found df['b'] = (df[cols].where(df[cols].stack().str.contains('b') .unstack(fill_value=False)).ffill(1).iloc[:,-1]) where cols df = df[['col1', 'col2', 'col3', 'col4']] I tried the other answers and they all gave me error ValueError: cannot reindex

问题 I'm trying to merge a subfolder of master branch of repository2 into master branch of repository1 , using the steps in this answer by @VonC - How do I merge a sub directory in git? I perform the first two steps with success (adding the repository2 remote, within the master branch of repository1 , then performing an 'empty' merge from repository2 to repository1 ). The structure of my repositories is like this: repository2/master DataLib MessagingLib.V2 .... files I want to merge into my

问题 I'm trying to merge a subfolder of master branch of repository2 into master branch of repository1 , using the steps in this answer by @VonC - How do I merge a sub directory in git? I perform the first two steps with success (adding the repository2 remote, within the master branch of repository1 , then performing an 'empty' merge from repository2 to repository1 ). The structure of my repositories is like this: repository2/master DataLib MessagingLib.V2 .... files I want to merge into my

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