JASeries : scala API for time numeric series operations.

Supports read / write CSV files or strings. Pivot-columns are automatically taken into account. CSV file format is automatically guessed. Chart generation is now supported !

The aim of this library is to make simple series summaries generation, using sampling and various kind of cells merging.

Processing very large CSV data doesn't afraid this library.

A standalone packaging, "jaseries.jar", is provided, for quick console or scripting usage. It embeds all dependencies, and comes with all scala libraries. Otherwise for library usage, just add the dependency and the repository to your sbt configuration file (build.sbt). Just run "java -jar jaseries.jar -usejavacp" to start the console.

API Scaladoc : http://www.janalyse.fr/scaladocs/janalyse-series

JAnalyse software maven repository : http://www.janalyse.fr/repository/

Current release : 1.1.1 (for scala 2.8.1, 2.8.2, 2.9.1, 2.9.2)

Declare dependency in SBT as follow : libraryDependencies += "fr.janalyse" %% "janalyse-series" % "1.1.1" % "compile"

Add JAnalyse repository in SBT as follow : resolvers += "JAnalyse Repository" at "http://www.janalyse.fr/repository/"

Usage example 1 : Google stock quote trend (just download "jaseries.jar" executable jar to test this simple script)

#!/bin/sh
exec java -jar jaseries.jar -nocompdaemon -usejavacp -savecompiled "$0" "$@"
!#
 
import fr.janalyse.series._
 
val allSeries = CSV2Series.fromURL("http://ichart.finance.yahoo.com/table.csv?s=GOOG")
val closeSeries = allSeries("Close")
 
println("GOOGLE stock summary")
println("Higher : "+closeSeries.max)
println("Lowest : "+closeSeries.min)
println("Week Trend : "+closeSeries.stat.linearApproximation.daySope*7)
println("Latest : "+closeSeries.last)

Which gives :

$ ./stock.scala 
GOOGLE stock summary
Higher : (07-11-06 00:00:00 -> 741,79)
Lowest : (04-09-03 00:00:00 -> 100,01)
Week Trend : 0.9271503465158119
Latest : (11-03-25 00:00:00 -> 579,74)

Usage example 2 : Google stock quote trend chart generation

#!/bin/sh
exec java -jar jaseries.jar -nocompdaemon -usejavacp -savecompiled "$0" "$@"
!#

import fr.janalyse.series.CSV2Series
import fr.janalyse.series.view.Chart

val allSeries = CSV2Series.fromURL("http://ichart.finance.yahoo.com/table.csv?s=GOOG")
val closeSeries = allSeries("Close").rename("Google stock value")    
Chart(closeSeries).toFile("googleStockTrend.jpg")

which gives :

Usage example 3 : Compute hitrate series from hitcount series

import fr.janalyse.series._
import fr.janalyse.tools.UnitTools._

val loadedSeries = CSV2Series.fromFile("samples/2.csv")
val hitcount = loadedSeries("www status 200 hit count")
val hitcountSampled = Series[AddCell]("www status 200 hit rate", "10m") <<< hitcount
val hitrate  = hitcountSampled * 1000 / "10m".toDuration

CSV2Series.toFile(hitrate, "hitrate.csv")

The generated series, gives you hitrate each 10 minutes period.

Use cases can be found on my blog, http://www.crosson.org/