dataset

问题 I'm kind of new to C# and am trying out the convenient looking adaper-dataset combo with local database. while I was amazed at how easy and useful it was I stumbled upon an issue: Whenever I try to fill the Item table with the adapter I get Invalid object name SQLexception, I use the same Dataset for all my tables, dsOns.Users / dsOns.Items. The problem is, the users adapter does recognize and successfully works with Users database(dbo.Users) while the items adapter cannot find the table(dbo

问题 I have a dataset myDF in R with a the variables L1,L2,L3,L4. How can I get the number of observations in L2, L3, and L4 that area greater than 0? I would like to use the subset function, I'm just not sure how Thanks! L1 L2 L3 L4 1 1 0 2 2 1 4 1 3 1 3 1 2 2 1 1 I would like to be able to create a function that would be able to tally up the number of rows in columns L2, L3, and L4 greater than 0. 回答1: We can use colSums(myDF[c("L2", "L3", "L4")] > 0) 回答2: I don't think colSums will give you the

问题 I have a dataset myDF in R with a the variables L1,L2,L3,L4. How can I get the number of observations in L2, L3, and L4 that area greater than 0? I would like to use the subset function, I'm just not sure how Thanks! L1 L2 L3 L4 1 1 0 2 2 1 4 1 3 1 3 1 2 2 1 1 I would like to be able to create a function that would be able to tally up the number of rows in columns L2, L3, and L4 greater than 0. 回答1: We can use colSums(myDF[c("L2", "L3", "L4")] > 0) 回答2: I don't think colSums will give you the

问题 In my plot, I'm trying to display the average delay time from 6 airports for each of the 5 dates. Here is the code I have so far: F = dataset('xlsfile','Lab2_Delta'); DATES = {'11/26/2013','11/27/2013','11/28/20113','11/29/2013','11/30/2013'}; ORIGINS = {'CVG','ORD','ATL','LAX','MIA','DFW'}; for Index = 1:6 for Index2 = 1:5 Origin_Index = find(strcmp(F.Origin,ORIGINS(Index))); Date_Index = find(strcmp(F.Date,DATES(Index2))); Temps(Index2,Index) = mean(F.Delay(Date_Index)); end end bar(1:5

问题 In my plot, I'm trying to display the average delay time from 6 airports for each of the 5 dates. Here is the code I have so far: F = dataset('xlsfile','Lab2_Delta'); DATES = {'11/26/2013','11/27/2013','11/28/20113','11/29/2013','11/30/2013'}; ORIGINS = {'CVG','ORD','ATL','LAX','MIA','DFW'}; for Index = 1:6 for Index2 = 1:5 Origin_Index = find(strcmp(F.Origin,ORIGINS(Index))); Date_Index = find(strcmp(F.Date,DATES(Index2))); Temps(Index2,Index) = mean(F.Delay(Date_Index)); end end bar(1:5

问题 I have a dataset dt and I want to replace the NA values with the mode of each attribute based on the id as follow: Before: id att 1 v 1 v 1 NA 1 c 2 c 2 v 2 NA 2 c The outcome I am looking for is: id att 1 v 1 v 1 v 1 c 2 c 2 v 2 c 2 c I have done some attempts for example I found another similar question which wanted to replace the NA with mean (which has a built in function), therefore I tried to adjust the code as follow: for (i in 1:dim(dt)[1]) { if (is.na(dt$att[i])) { att_mode <- # I am

问题 I have a dataset dt and I want to replace the NA values with the mode of each attribute based on the id as follow: Before: id att 1 v 1 v 1 NA 1 c 2 c 2 v 2 NA 2 c The outcome I am looking for is: id att 1 v 1 v 1 v 1 c 2 c 2 v 2 c 2 c I have done some attempts for example I found another similar question which wanted to replace the NA with mean (which has a built in function), therefore I tried to adjust the code as follow: for (i in 1:dim(dt)[1]) { if (is.na(dt$att[i])) { att_mode <- # I am

问题 I have a dataset dt and I want to replace the NA values with the mode of each attribute based on the id as follow: Before: id att 1 v 1 v 1 NA 1 c 2 c 2 v 2 NA 2 c The outcome I am looking for is: id att 1 v 1 v 1 v 1 c 2 c 2 v 2 c 2 c I have done some attempts for example I found another similar question which wanted to replace the NA with mean (which has a built in function), therefore I tried to adjust the code as follow: for (i in 1:dim(dt)[1]) { if (is.na(dt$att[i])) { att_mode <- # I am

问题 How can one get an R dataset with blanks in its name, such as 'BJsales.lead (BJsales)' in package "datasets" ? pkg = "datasets" cat( "Summary of all the datasets in package", pkg, "--\n" ) d = data( package=pkg ) $results # "Package" "LibPath" "Item" "Title" names = d[ , "Item" ] titles = d[ , "Title" ] # sum( duplicated( names )) ?? for( j in 1:len(names) ){ name = names[[j]] cat( name, ":\n" ) data( list=name ) x = get( name ) # <-- Error if blank in name m = paste( dim( as.matrix( x )),

问题 I am new to pytorch. I am trying to create a DataLoader for a dataset of images where each image got a corresponding ground truth (same name): root: --->RGB: ------>img1.png ------>img2.png ------>... ------>imgN.png --->GT: ------>img1.png ------>img2.png ------>... ------>imgN.png When I use the path for root folder (that contains RGB and GT folders) as input for the torchvision.datasets.ImageFolder it reads all of the images as if they were all intended for input (classified as RGB and GT)