merge

问题 This is occurring on visual studio 2019 community v 16.8.1 on a windows 10 PC. I need help trying to find the cause for this error that happens at the end of publishing an asp.net 4.7 web project during the merge assemblies step. "An error occurred when merging assemblies: Object reference not set to an instance of an object. " The merge line looks like "D:\Repo\project\packages\Microsoft.AspNet.Merge.5.0.0-beta2\tools\net40\aspnet_merge.exe" "D:\Repo\project\obj\Release\AspnetCompileMerge

问题 I'm rewriting a big project with SpringBoot 2.2.6 and I'm run into a problem. In the old project (pure ejb ) when a complex entity is updated, the code build entity from DTO's as follows: public Entity dtoToEntity(DTO dto) { Entity entity = new Entity(); entity.setId(dto.getID()); // ecc... // ecc... entity.setSubEntity(dto.getSubEntity() != null ? new SubEntity(dto.getSubEntity().getId() : null); // and so on } The important section is that related to subentity! After made a mapping like

问题 I am working in R using data frame containing quantities of items (which are non-negative integers). Here is an example of two data frames called BASKET1 and BASKET2 . In both cases, an item appears in the data frame only if it has a quantity of at least one. Items appear in each data frame in alphabetical order. BASKET1 Vegetable Quantity 1 Carrots 3 2 Cucumbers 2 3 Parsnips 5 4 Celery 1 5 Onions 12 BASKET2 Vegetable Quantity 1 Carrots 10 2 Onions 6 3 Rhubarb 2 I am trying to create a

问题 I am working in R using data frame containing quantities of items (which are non-negative integers). Here is an example of two data frames called BASKET1 and BASKET2 . In both cases, an item appears in the data frame only if it has a quantity of at least one. Items appear in each data frame in alphabetical order. BASKET1 Vegetable Quantity 1 Carrots 3 2 Cucumbers 2 3 Parsnips 5 4 Celery 1 5 Onions 12 BASKET2 Vegetable Quantity 1 Carrots 10 2 Onions 6 3 Rhubarb 2 I am trying to create a

问题 This formula: =FILTER(SORT(UNIQUE(flatten(C3:H14));1;1); SORT(UNIQUE(flatten(C3:H14));1;1)<>"") Merges all values in C3:H14 into a single column then removes duplicates and sorts the result in ascending order. It is possible to compare the result with a second list and then leave only the values that never repeat? Like, First Range A B Orange Grapes Apple Carrot Flattened Range (A + B) C Apple Carrot Grapes Orange Comparison range D Apple Banana Carrot Grapes Orange Peach So the final result

问题 This formula: =FILTER(SORT(UNIQUE(flatten(C3:H14));1;1); SORT(UNIQUE(flatten(C3:H14));1;1)<>"") Merges all values in C3:H14 into a single column then removes duplicates and sorts the result in ascending order. It is possible to compare the result with a second list and then leave only the values that never repeat? Like, First Range A B Orange Grapes Apple Carrot Flattened Range (A + B) C Apple Carrot Grapes Orange Comparison range D Apple Banana Carrot Grapes Orange Peach So the final result

问题 I have two dataframes in R named house and candidates. house House Region Military_Strength 1 Stark The North 20000 2 Targaryen Slaver's Bay 110000 3 Lannister The Westerlands 60000 4 Baratheon The Stormlands 40000 5 Tyrell The Reach 30000 candidates House Name Region 1 Lannister Jamie Lannister Westros 2 Stark Robb Stark North 3 Stark Arya Stark Westros 4 Lannister Cersi Lannister Westros 5 Targaryen Daenerys Targaryen Mereene 6 Baratheon Robert Baratheon Westros 7 Mormont Jorah Mormont

问题 I have two list of dataframes, like: names1 <- c("1", "2") mydf1 <- data.frame(V1=c(1:2), V2=rep("A",2)) mydf2 <- data.frame(V1=c(1:3), V2=rep("B",3)) list1 <- list(mydf1,mydf2) names2 <- c("1","1","2") mydf4 <- data.frame(V1=c(1:3), V2=rep("BB",3)) mydf5 <- data.frame(V1=c(1:3), V2=rep("CC",3)) mydf6 <- data.frame(V1=c(1:3), V2=rep("DD",3)) list2 <- list(mydf4,mydf5,mydf6) names(list1) <- names1 names(list2) <- names2 and I want combine into lists by equal names. I want something like that:

问题 I have these two pandas dataframes I created and cleaned from online data, and I was trying to merge them based on their dates, which are all by month. However, the first dataset has its days on the last day of the month, whether the second dataset is based on the first day of the month. # data1 0 1987-01-01 63.752 1 1987-02-01 64.152 2 1987-03-01 64.488 3 1987-04-01 64.995 # data2 0 1987-01-31 1115.10 1 1987-02-30 1095.63 2 1987-03-30 1036.19 3 1987-04-30 1057.08 I would normally merge them

问题 How to combine duplicate rows in pandas, filling in missing values? In the example below, some rows have missing values in the c1 column, but the c2 column has duplicates that can be used as an index to look up and fill in those missing values. the input data looks like this: c1 c2 id 0 10.0 a 1 NaN b 2 30.0 c 3 10.0 a 4 20.0 b 5 NaN c desired output: c1 c2 0 10 a 1 20 b 2 30 c But how to do this? Here is the code to generate the example data: import pandas as pd df = pd.DataFrame({ 'c1': [10