gnuplot4s

A well typed scala interface to gnuplot

Docs

API documentation is here

How to use in your project

As of 0.2.0, gnuplot4s is published via Sonatype, and so default resolvers will normally be sufficient. The gnuplot4s library is built for Scala 2.12 and 2.13.

libraryDependencies += "com.manyangled" %% "gnuplot4s" % "0.2.0"

The API for gnuplot4s 0.2.0 is identical to 0.1.0, with the exception that the cats-free dependency has been upgraded to 2.6.1, and it is no longer compiled for Scala 2.11.

Examples

scala> import com.manyangled.gnuplot4s._
import com.manyangled.gnuplot4s._

scala> val data = Array((0,0), (1,1), (2,2))
data: Array[(Int, Int)] = Array((0,0), (1,1), (2,2))

scala> val gnuplot = Session().block("data", data).plot(Plot().block("data").style(PlotStyle.Points)).term(Dumb())
gnuplot: com.manyangled.gnuplot4s.Session = Session(Map(data -> BlockRows(<function0>)),Dumb(None,None),Console,Options(None,None,None),Vector(Plot((0,1),Points,data)),/usr/bin/gnuplot)

scala> gnuplot.render

scala> 
                         
                                                                               
    2 +-+--------------+-----------------+----------------+--------------+-A   
      +                +                 +                +                +   
      |                                            $data using 0:1    A    |   
      |                                                                    |   
      |                                                                    |   
  1.5 +-+                                                                +-+   
      |                                                                    |   
      |                                                                    |   
      |                                                                    |   
    1 +-+                                A                               +-+   
      |                                                                    |   
      |                                                                    |   
      |                                                                    |   
      |                                                                    |   
  0.5 +-+                                                                +-+   
      |                                                                    |   
      |                                                                    |   
      |                                                                    |   
      +                +                 +                +                +   
    0 A-+--------------+-----------------+----------------+--------------+-+   
      0               0.5                1               1.5               2   

scala> val gnuplot = Session().block("data", data).plot(Plot().block("data").style(PlotStyle.LinesPoints)).term(Dumb())
gnuplot: com.manyangled.gnuplot4s.Session = Session(Map(data -> BlockRows(<function0>)),Dumb(None,None),Console,Options(None,None,None),Vector(Plot((0,1),LinesPoints,data)),/usr/bin/gnuplot)

scala> gnuplot.render

scala> 

                                                                               
    2 +-+--------------+-----------------+----------------+--------------+*A   
      +                +                 +                +           **** +   
      |                                            $data using 0:1****A*** |   
      |                                                       ****         |   
      |                                                   ****             |   
  1.5 +-+                                              ***               +-+   
      |                                            ****                    |   
      |                                        ****                        |   
      |                                    ****                            |   
    1 +-+                               *A*                              +-+   
      |                             ****                                   |   
      |                          ***                                       |   
      |                      ****                                          |   
      |                   ***                                              |   
  0.5 +-+             ****                                               +-+   
      |            ***                                                     |   
      |        ****                                                        |   
      |     ***                                                            |   
      + ****           +                 +                +                +   
    0 A*+--------------+-----------------+----------------+--------------+-+   
      0               0.5                1               1.5               2