Given the following List:
val l = List(List(1, 2, 3), List(4, 5), List(6, 7, 8))
If I try to transpose it, Scala will throw the following e
This is probably the cleanest:
def transpose[T](l: List[List[T]]): List[List[T]] =
l.flatMap(_.headOption) match {
case Nil => Nil
case head => head :: transpose(l.map(_.drop(1)))
}
or a modified version that is even more efficient:
def transpose[T](l: List[List[T]]): List[List[T]] =
l.flatMap(_.headOption) match {
case Nil => Nil
case head => head :: transpose(l.collect { case _ :: tail => tail })
}
How about this:
scala> def transpose[A](xs: List[List[A]]): List[List[A]] = xs.filter(_.nonEmpty) match {
| case Nil => Nil
| case ys: List[List[A]] => ys.map{ _.head }::transpose(ys.map{ _.tail })
| }
warning: there were unchecked warnings; re-run with -unchecked for details
transpose: [A](xs: List[List[A]])List[List[A]]
scala> val ls = List(List(1, 2, 3), List(4, 5), List(6, 7, 8))
ls: List[List[Int]] = List(List(1, 2, 3), List(4, 5), List(6, 7, 8))
scala> transpose(ls)
res0: List[List[Int]] = List(List(1, 4, 6), List(2, 5, 7), List(3, 8))
scala> val xs = List(List(1,2,3), List(4,5,99,100), List(6,7,8))
xs: List[List[Int]] = List(List(1, 2, 3), List(4, 5, 99, 100), List(6, 7, 8))
scala> transpose(xs)
res1: List[List[Int]] = List(List(1, 4, 6), List(2, 5, 7), List(3, 99, 8), List(100))
How about this one-liner using the Scala's standard Api:
((l map (_.toArray)) toArray).transpose map (_.toList) toList
This gets the job done and is O(N*M)
, where N
is the length of the wrapper list and M
is the length of the longest list inside the wrapper list.
I suspect the reason transpose is not defined on a "non-rectangular" list of lists is because mathematically the transpose operation is well-defined only on "rectangular structures". A desirable property of a transpose operation is that transpose( transpose(x) ) == x. This is not the case in your generalization of the transpose operation on non-rectangular list of lists.
Also, take a look at my post on Transposing arbitrary collection-of-collections in Scala and think about doing it for non-rectangular collections-of-collections. You will end up with mathematically inconsistent definitions, leave alone implementations.
I do agree that idiosyncratic "transpose" operations are often useful, but I also think that they should not be made available in standard libraries because of potential confusion regarding their precise definitions.
I don't know of (and can't imagine - isn't this is a bit odd?! [see discussion in comments]) a library function, but I can polish the code a little:
scala> def transpose(x: List[List[Int]]): List[List[Int]] = {
| val b = new ListBuffer[List[Int]]
| var y = x filter (!_.isEmpty)
| while (!y.isEmpty) {
| b += y map (_.head)
| y = y map (_.tail) filter (!_.isEmpty)
| }
| b.toList
| }