Scala filter on two conditions
Using slightly less concise lambda syntax: mystuff = mystuff.filter(x => (x.isX && x.name == “xyz”)) You can find more detail on Scala anonymous function syntax here.
multiple-conditions
LINQ Joining in C# with multiple conditions
As far as I know you can only join this way: var query = from obj_i in set1 join obj_j in set2 on new { JoinProperty1 = obj_i.SomeField1, JoinProperty2 = obj_i.SomeField2, JoinProperty3 = obj_i.SomeField3, JoinProperty4 = obj_i.SomeField4 } equals new { JoinProperty1 = obj_j.SomeOtherField1, JoinProperty2 = obj_j.SomeOtherField2, JoinProperty3 = obj_j.SomeOtherField3, JoinProperty4 = obj_j.SomeOtherField4 } The … Read more
What is better: multiple “if” statements or one “if” with multiple conditions?
One golden rule I follow is to “Avoid Nesting” as much as I can. But if it is at the cost of making my single if condition too complex, I don’t mind nesting it out. Besides you’re using the short-circuit && operator. So if the boolean is false, it won’t even try matching! So, if … Read more
Filter multiple values on a string column in dplyr
You need %in% instead of ==: library(dplyr) target <- c(“Tom”, “Lynn”) filter(dat, name %in% target) # equivalently, dat %>% filter(name %in% target) Produces days name 1 88 Lynn 2 11 Tom 3 1 Tom 4 222 Lynn 5 2 Lynn To understand why, consider what happens here: dat$name == target # [1] FALSE FALSE FALSE … Read more