XYVariableData.scala

 def createColumnNamesList(): List[String] =
    {
      val columnsToAdd = new ListBuffer[String]
      val tmpXCol = mappedVar.get("X") match {
        case Some(x: String) ⇒ x
        case _ ⇒ ""
      }
      if (tmpXCol != "") {
        columnsToAdd += tmpXCol
      }
      val tmpYCol = mappedVar.get("Y") match {
        case Some(x: String) ⇒ x
        case _ ⇒ ""
      }
      if (tmpYCol != "") {
        columnsToAdd += tmpYCol
      }
      val tmpColumnsToAdd = new ListBuffer[String]
      if (listFiltre.size > 0) {
        listFiltre.foreach { v ⇒
          v
          tmpColumnsToAdd += v.name.toString
        }
        tmpColumnsToAdd.distinct.foreach { v ⇒
          v
          columnsToAdd += v
        }
      }
      return columnsToAdd.toList
    }

  def createFiltredColumnMap(): Map[String, Array[Double]] = {
    val columnsList = createColumnNamesList()
    println("columnsList : " + columnsList.mkString(","))
    val filtredColumnMap = mutable.Map[String, Array[Double]]()
    columnsList.foreach {
      colname ⇒
        colname
        println("colname : " + colname.toString)
        val colVariable = getVariableFromColumn(colname.toString)
        println("colVariable : " + colVariable.toString)
        val colValue = get[Array[Double]](colVariable) match {
          case Some(i: Array[Double]) ⇒ i
          case None ⇒ throw new UserBadDataError("column type not equal ")
        }
        println("colValue : " + colValue.toString)
        filtredColumnMap.put(colname, colValue)
    }
    return filtredColumnMap.toMap // Map[nomColonne -> [val1, val2, val3 ...]
  }