matplotlib: 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 (degreesRadians a) + cos (degreesRadians b)) (-100) 100 (-200) 200 10
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Downloads
- matplotlib-0.6.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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Candidates
| Versions [RSS] | 0.1.0.0, 0.1.1.0, 0.1.2.1, 0.2.0, 0.2.1, 0.3.0, 0.4.0, 0.4.1, 0.4.3, 0.4.4, 0.4.5, 0.5.0, 0.6.0, 0.7.0, 0.7.1, 0.7.2, 0.7.3, 0.7.4, 0.7.5, 0.7.6, 0.7.7 |
|---|---|
| Dependencies | aeson, base (>=4.7 && <5), bytestring, containers, deepseq, filepath, process, split, temporary [details] |
| License | BSD-3-Clause |
| Copyright | 2017 Andrei Barbu |
| Author | Andrei Barbu |
| Maintainer | andrei@0xab.com |
| Category | Graphics |
| Home page | https://github.com/abarbu/matplotlib-haskell |
| Source repo | head: git clone https://github.com/abarbu/matplotlib-haskell |
| Uploaded | by AndreiBarbu at 2017-10-13T07:52:39Z |
| Distributions | LTSHaskell:0.7.7, NixOS:0.7.7, Stackage:0.7.7 |
| Reverse Dependencies | 1 direct, 0 indirect [details] |
| Downloads | 12783 total (127 in the last 30 days) |
| Rating | 2.25 (votes: 2) [estimated by Bayesian average] |
| Your Rating | |
| Status | Docs available [build log] Last success reported on 2017-10-13 [all 1 reports] |
Readme for matplotlib-0.6.0
[back to package description]Matplotlib
Haskell bindings to Python's Matplotlib. It's high time that Haskell had a fully-fledged plotting library!
Documentation is available on Hackage. For more examples see the tests.
{-# LANGUAGE ExtendedDefaultRules #-}
import Graphics.Matplotlib
degreesRadians a = a * pi / 180.0
main :: IO ()
main = do
Right _ <- onscreen $ contourF (\a b -> sin (degreesRadians a) + cos (degreesRadians b)) (-100) 100 (-200) 200 10
return ()
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-pip python3-matplotlib python3-numpy python-mpltoolkits.basemap
If you have instructions for other machines or OSes let me know. We require
/usr/bin/python3 to be available; the path isn't configurable right now.
Once you have the prerequisites you can install using the standard incantation
cabal install matplotlib
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.
