I don’t know if this helps but here’s something I created in 5 minutes yesterday. Once you have the data you can convert to e.g. frames with all the help that types can give. I once used frames on a file with 10,000 columns and it worked (probably I shouldn’t have done this). Also an option is in Chris Done’s blog: https://www.fpcomplete.com/blog/2016/09/data-haskell PS My script below will fail if I have missing data but then I can use something better than read.

{-# OPTIONS_GHC -Wall #-}

import qualified Data.Vector as V import qualified Data.ByteString.Lazy as BL import qualified Data.ByteString.Lazy.Char8 as BLC import Data.Csv import Data.List import Plots import Diagrams.Prelude import Diagrams.Backend.Rasterific

main :: IO () main = do evalsCsv <- BLC.readFile "/Users/dom/.local/share/simwork/data/Models/Lorenz.csv" let records :: Either String (V.Vector (V.Vector BL.ByteString)) records = decode NoHeader $ BLC.unlines $ BLC.lines evalsCsv case records of Left err -> putStrLn err Right evals -> do let hdrs :: V.Vector String hdrs = V.map BLC.unpack $ V.head evals let zss :: [[Double]] zss = map (map read) $ map (map BLC.unpack) $ transpose $ V.toList $ V.map V.toList $ V.drop 1 evals renderRasterific "diagrams/lorenz.png" (dims2D 500.0 500.0) (renderAxis $ jSaxis (zss!!0) (zss!!1)) renderRasterific "diagrams/lorenz1.png" (dims2D 500.0 500.0) (renderAxis $ jSaxis (zss!!0) (zss!!2)) renderRasterific "diagrams/lorenz2.png" (dims2D 500.0 500.0) (renderAxis $ jSaxis (zss!!0) (zss!!3)) renderRasterific "diagrams/lorenz3.png" (dims2D 500.0 500.0) (renderAxis $ jSaxis (zss!!1) (zss!!2)) renderRasterific "diagrams/lorenz4.png" (dims2D 500.0 500.0) (renderAxis $ jSaxis (zss!!1) (zss!!3)) renderRasterific "diagrams/lorenz5.png" (dims2D 500.0 500.0) (renderAxis $ jSaxis (zss!!2) (zss!!3))

jSaxis :: [Double] -> [Double] -> Axis B V2 Double jSaxis ts xs = r2Axis &~ do linePlot' $ zip ts xs

Dominic Steinitz dominic@steinitz.org http://idontgetoutmuch.wordpress.com