Scala removing IF Else statement and write in a functional way

Let's say I have the following tuple

             (colType, colDocV)

Where colType is a boolean and colDocV is a String Depending on those two values, I will apply some chunk of code that applies transformations to a Dataframe.

Now, this code works. However, I am not convinced this is the proper way to write functional programming code. I don't know which of these 3 approaches will improve the quality of the code and remove all if-if else-else : Should I apply some kind of design pattern and which one? Should I use some kind of pattern matching? Should I use some anonymous function?

     if (colDocV) {
          val newCol = udf(UDFHashCode.udfHashCode).apply(col(columnName))
          dataframe.withColumn(columnName, newCol)
        } else if (colType.contains("string") || colType.contains("text")) {
          val newCol = udf(Entropy.stringEntropyFunc).apply(col(columnName)).cast(DoubleType)
          dataframe.withColumn(columnName, newCol)
        } else if (colType.contains("date")) {
          val newCol = udf(DateUtils.getTimeAsDoubleFunc).apply(col(columnName)).cast(DoubleType)
          dataframe.withColumn(columnName, newCol)
        } else if (colType.contains("long")) {
          dataframe.withColumn(columnName, dataframe(columnName).cast(DoubleType) )
        } else {
          dataframe.drop(columnName) //Dropping column that cannot be processed
        }