filter

Returns DataFrame with rows that satisfy row condition

df.filter { age > 18 && name.firstName.startsWith("A") }

val age by column<Int>()
val name by columnGroup()
val firstName by name.column<String>()

df.filter { age() > 18 && firstName().startsWith("A") }
// or
df.filter { it[age] > 18 && it[firstName].startsWith("A") }

df.filter { "age"<Int>() > 18 && "name"["firstName"]<String>().startsWith("A") }

filterBy

Returns DataFrame with rows that have value true in given column of type Boolean.

df.filterBy { isHappy }

val isHappy by column<Boolean>()
df.filterBy { isHappy }

df.filterBy("isHappy")

Last modified: 14 January 2025