Learning Jupyter

Scala array operations

Scala does not have pandas, but we can emulate some of that logic with our own coding. We will use the same Titanic dataset used in Chapter 2 , Jupyter Python Scripting, from http://www.kaggle.com/c/titanic-gettingStarted/download/train.csv, which we have downloaded in our local space.

We can then use similar coding as was used in Chapter 2 , Jupyter Python Scripting, on pandas:

import scala.io.Source;
val filename = "train.csv"
//PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,
      Parch,Ticket,Fare,Cabin,Embarked
//1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S
var males = 0
var females = 0
var males_survived = 0
var females_survived = 0
for (line <- Source.fromFile(filename).getLines) {
 var cols = line.split(",").map(_.trim); ...