Welcome to the first lesson of our course on Parsing Table Data in Scala. In this lesson, we will explore the concepts of reading and processing table-like data from a text file using Scala. This skill is fundamental for data analysis, report generation, and many other applications that require structured data manipulation in software development. By the end of this lesson, you'll learn how to parse a 2D table from a file and represent it using Scala collections.
Imagine you have a file named students_marks.txt
with the following content:
Plain text15 4 5 5 23 2 3 4 34 4 3 5 43 4 5 4
This file represents a 2D table where each row corresponds to a student's marks across four subjects. In Scala, you can use a sequence of integer arrays to store and manipulate this data.
To start, we leverage Scala's os-lib
library to read all lines from a file. This process lets us retrieve the data line by line into a sequence of strings.
Scala1// Define the path to the input file 2val filePath = os.pwd / "students_marks.txt" 3 4// Read all lines from the file into a sequence 5val lines = os.read.lines(filePath)
Here, os.read.lines(filePath)
opens the file and reads its contents into a sequence of strings, with each element representing a line from the file.
Once we have the file lines in a sequence, the next step is to convert these lines into a format that's easier to work with, such as a sequence of arrays of integers. We achieve this using Scala's map
function:
-
Split each line into numbers: Each line is a string where numbers are separated by spaces. We split each line using
split(" ")
, which produces an array of strings. -
Convert the number strings to integers: For each split portion, we convert it to an integer using
toInt
. This process transforms the string representations of numbers into actual integers.
Here's how you convert lines into arrays of integers and collect them into a sequence of arrays:
Scala1// Parse the lines into a sequence of integer arrays (table data) 2val data = lines.map { line => 3// Split the line into tokens by spaces 4val tokens = line.split(" ") 5// Convert tokens to integers 6tokens.map(_.toInt) 7}
Using Scala's collection methods, we efficiently split each line, convert the tokens into integers, and compile the results into a sequence of arrays.
Finally, to ensure we've parsed the data correctly, we can print the 2D sequence:
Scala1// Iterate over each row in the data 2data.foreach { row => 3 // Convert row elements to a single space-separated string and print it 4 println(row.mkString(" ")) 5}
In this code, mkString(" ")
concatenates elements of each row into a single string, separated by spaces, and println
is used to output them.
The expected output of the parsed table data should match the original file content:
Plain text15 4 5 5 23 2 3 4 34 4 3 5 43 4 5 4
Here is how the complete code looks like, bringing together all the steps we've discussed:
Scala1import os._ 2 3@main def main() = 4 // Define the path to the input file 5 val filePath = os.pwd / "students_marks.txt" 6 7 // Read all lines from the file into a sequence 8 val lines = os.read.lines(filePath) 9 10 // Parse the lines into a sequence of integer arrays (table data) 11 val data = lines.map { line => 12 // Split the line into tokens by spaces 13 val tokens = line.split(" ") 14 // Convert tokens to integers 15 tokens.map(_.toInt) 16 } 17 18 // Iterate over each row in the data 19 data.foreach { row => 20 // Convert row elements to a single space-separated string and print it 21 println(row.mkString(" ")) 22 }
This complete code includes reading the file, parsing the data into a structured form, and printing it.
In this lesson, we discussed how to parse table data from a file in Scala using the os-lib
library for file input and Scala's collection methods for data parsing. Understanding file input and organizing data into structured forms like arrays is essential for many real-world programming tasks.
You're now prepared to tackle practice exercises. These exercises will reinforce your new knowledge by allowing you to apply similar techniques to other file formats and sizes, enhancing your skills in structured data manipulation with Scala. Enjoy the hands-on experience, and see you in the next lesson!