例如,给定以下数据结构
v1 = c("DL1", "", "DL3", "DL4", "")
v2 = c("DL1", "DL2", "DL3", "","DL5")
v3 = c("DL1", "DL2", "DL3", "","DL5")
v4 = c( "", "", "DL3", "","DL5")
v5 = c( "", "", "", "","DL5")
data1 = rbind(v1,v2,v3,v4,v5)
我要生成
vt1 = c("DL1", "DL3", "DL4", "","")
vt2 = c("DL1", "DL2", "DL3", "DL5","")
vt3 = c("DL1", "DL2", "DL3", "DL5","")
vt4 = c("DL3", "" , "", "","")
vt5 = c("DL5", "" , "", "","")
data2 = rbind(vt1,vt2,vt3,vt4,vt5)
答案 0 :(得分:1)
可能的解决方法是这个。
// Easy to use
context.BulkSaveChanges();
// Easy to customize
context.BulkSaveChanges(bulk => bulk.BatchSize = 100);
// Perform Bulk Operations
context.BulkDelete(customers);
context.BulkInsert(customers);
context.BulkUpdate(customers);
// Customize Bulk Operations
context.BulkInsert(customers, options => {
options => options.IncludeGraph = true;
});
context.BulkMerge(customers, options => {
options.ColumnPrimaryKeyExpression =
customer => customer.Code;
});
要获取行名:
m <- data.frame(t(rbind(v1,v2,v3,v4,v5)), stringsAsFactors=FALSE)
mx <- t(sapply(m, function(x) {
s <- x[x != ""]
e <- 5 - length(s)
return(c(s, rep("", e)))
}))
生产
rownames(mx) <- gsub("v", "vt", rownames(mx))