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Scala for Data Science

You're reading from  Scala for Data Science

Product type Book
Published in Jan 2016
Publisher
ISBN-13 9781785281372
Pages 416 pages
Edition 1st Edition
Languages
Author (1):
Pascal Bugnion Pascal Bugnion
Profile icon Pascal Bugnion

Table of Contents (22) Chapters

Scala for Data Science
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Scala and Data Science 2. Manipulating Data with Breeze 3. Plotting with breeze-viz 4. Parallel Collections and Futures 5. Scala and SQL through JDBC 6. Slick – A Functional Interface for SQL 7. Web APIs 8. Scala and MongoDB 9. Concurrency with Akka 10. Distributed Batch Processing with Spark 11. Spark SQL and DataFrames 12. Distributed Machine Learning with MLlib 13. Web APIs with Play 14. Visualization with D3 and the Play Framework Pattern Matching and Extractors Index

Extracting sequences


The previous section explains extraction from case classes, and how to write custom extractors, but it does not explain how extraction works on sequences:

scala> val Array(a, b) = Array(1, 2)
a: Int = 1
b: Int = 2

Rather than relying on an unapply method, sequences rely on an unapplySeq method defined in the companion object. This is expected to return an Option[Seq[A]]:

scala> Array.unapplySeq(Array(1, 2))
Option[IndexedSeq[Int]] = Some(Vector(1, 2))

Let's write an example. We will write an extractor for Breeze vectors (which do not currently support pattern matching). To avoid clashing with the DenseVector companion object, we will write our unapplySeq in a separate object, called DV. All our unapplySeq method needs to do is convert its argument to a Scala Vector instance. To avoid muddying the concepts with generics, we will write this implementation for [Double] vectors only:

scala> import breeze.linalg._
import breeze.linalg._

scala> object DV {
  // Just need to convert to a Scala vector.
  def unapplySeq(v:DenseVector[Double]) = Some(v.toScalaVector)
}
defined object DV

Let's try our new extractor implementation:

scala> val vec = DenseVector(1.0, 2.0, 3.0)
vec: breeze.linalg.DenseVector[Double] = DenseVector(1.0, 2.0, 3.0)

scala> val DV(x, y, z) = vec
x: Double = 1.0
y: Double = 2.0
z: Double = 3.0
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