Bindings to Matplotlib; a Python plotting library.

Matplotlib is probably the most full featured plotting library out there. These bindings provide a quick, easy, and extensible way to use it in Haskell.

onscreen $ contourF (\a b -> sin (a*pi/180.0) + cos (b*pi/180.0)) (-100) 100 (-200) 200 10

Matplotlib for Haskell

Haskell bindings to Python's Matplotlib. It's high time that Haskell had a fully-fledged plotting library! Examples below.

Documentation is available on Hackage.

In GHCi:

:set -XExtendedDefaultRules
import Graphics.Matplotlib
onscreen $ contourF (\a b -> sin (a*pi/180.0) + cos (b*pi/180.0)) (-100) 100 (-200) 200 10

Or in a standalone file

{-# LANGUAGE ExtendedDefaultRules #-}

import Graphics.Matplotlib

main = onscreen $ contourF (\a b -> sin (a*pi/180.0) + cos (degreesRadians b)) (-100) 100 (-200) 200 10

We need -XExtendedDefaultRules to avoid having to manually having to specify certain types.

Installation

You will need several python libraries to run this code which can be installed on Ubuntu machines with the following command:

sudo apt-get install -y python3 python3-pip python3-matplotlib python3-numpy python3-tk python-mpltoolkits.basemap python3-scipy dvipng

If you're using conda

conda install -y matplotlib scipy tk

If you have instructions for other machines or OSes let me know. We require the python3 binary to be available somewhere in the PATH. We run with env python3.

Once you have the prerequisites you can install using the standard incantation

stack install matplotlib

If you use LaTeX markup you will need the requisite packages

sudo apt-get install -y texlive-full

Or with conda

conda install -y -c conda-forge texlive-core

Examples

Click on any of the examples below to go to the corresponding test that generates it. Depending on your matplotlib version default colors might be different.