https://github.com/dakside/dcsv

Dakside CSV is a light weight library for CSV data manipulation.
https://github.com/dakside/dcsv

csv gpl java library lightweight

Last synced: 3 months ago
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Dakside CSV is a light weight library for CSV data manipulation.

• Host: GitHub
• URL: https://github.com/dakside/dcsv
• Owner: dakside
• License: gpl-3.0
• Created: 2015-04-29T13:50:50.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2018-09-07T07:53:38.000Z (over 6 years ago)
• Last Synced: 2023-02-28T16:52:59.867Z (almost 2 years ago)
• Topics: csv, gpl, java, library, lightweight
• Size: 12.7 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# dcsv

Dakside CSV is a light weight library for CSV data manipulation.

## Introduction

Dakside.CSV is a lightweight yet powerful library for process CSV file. Main features of dCSV are:

1. Thread-safe of write & read CSV file from/to streams, readers, and files.

2. Fast learning curve (CSV library is very easy to use).

3. Small size (7KB in total)

## Examples

Reading CSV data is very easy:

``` java

import dakside.csv.*;

public class Example2 {

  public static void main(String[] args) {

    CSVFile csv = CSVFileReader.parseFile("/home/someone/sample.csv");

  }

} 

```

Writing content to CSV file:

``` java

import dakside.csv.CSVFile;

import dakside.csv.CSVFileWriter;

import java.util.Date;

public class ExampleSimple {

  public static void main(String[] args) {

    CSVFile csvData = new CSVFile();

    //add some data

    csvData.newLine().add("Name").add("Salary").add("Birthday"); //line 1

    csvData.newLine().add("Boo").add(4300).add(new Date(86, 4, 23)); //line 2

    csvData.newLine().add("Joe").add(6800.5).add(new Date(84, 9, 27)); //line 3

    //Create a writer to write CSV data

    CSVFileWriter writer = new CSVFileWriter("/home/someone/employees.csv");

    //Write csvData to file

    writer.writeFile(csvData);

    //Close file (auto save)

    writer.close();

  }

} 

```

and here is the results.

```File: employees.csv

Name,Salary,Birthday

Boo,4300,Fri May 23 00:00:00 SGT 1986

Joe,6800.5,Sat Oct 27 00:00:00 SGT 1984 

```