----------------------------------------------------------------------------- -- | -- Module : Graphics.Rendering.Chart.Axis.Floating -- Copyright : (c) Tim Docker 2010, 2014 -- License : BSD-style (see chart/COPYRIGHT) -- -- Calculate and render floating value axes -- including doubles with linear, log, and percentage scaling. -- {-# LANGUAGE GeneralizedNewtypeDeriving #-} {-# LANGUAGE TemplateHaskell #-} module Graphics.Rendering.Chart.Axis.Floating( Percent(..), LinearAxisParams(..), LogValue(..), LogAxisParams(..), scaledAxis, autoScaledAxis, autoScaledLogAxis, autoSteps, la_labelf, la_nLabels, la_nTicks, loga_labelf ) where import Data.List(minimumBy) import Data.Ord (comparing) import Data.Default.Class import Numeric (showFFloat) import Control.Lens import Graphics.Rendering.Chart.Geometry import Graphics.Rendering.Chart.Utils import Graphics.Rendering.Chart.Axis.Types -- Note: the following code uses explicit Integer types -- to avoid -Wall 'defaulting to Integer' messages. instance PlotValue Double where toValue = id fromValue= id autoAxis = autoScaledAxis def instance PlotValue Float where toValue = realToFrac fromValue= realToFrac autoAxis = autoScaledAxis def -- | A wrapper class for doubles used to indicate they are to -- be plotted against a percentage axis. newtype Percent = Percent {unPercent :: Double} deriving (Eq,Ord,Num,Real,Fractional,RealFrac,Floating,RealFloat) instance Show Percent where show (Percent d) = showD (d*100) ++ "%" instance PlotValue Percent where toValue = unPercent fromValue= Percent autoAxis = autoScaledAxis def {-_la_labelf=-} -- | A wrapper class for doubles used to indicate they are to -- be plotted against a log axis. newtype LogValue = LogValue Double deriving (Eq, Ord, Num, Real, Fractional, RealFrac, Floating, RealFloat) instance Show LogValue where show (LogValue x) = show x instance PlotValue LogValue where toValue (LogValue x) = log x fromValue d = LogValue (exp d) autoAxis = autoScaledLogAxis def showD :: (RealFloat d) => d -> String showD x = case reverse $ showFFloat Nothing x "" of '0':'.':r -> reverse r r -> reverse r data LinearAxisParams a = LinearAxisParams { -- | The function used to show the axes labels. _la_labelf :: a -> String, -- | The target number of labels to be shown. _la_nLabels :: Int, -- | The target number of ticks to be shown. _la_nTicks :: Int } instance (Show a, RealFloat a) => Default (LinearAxisParams a) where def = LinearAxisParams { _la_labelf = showD , _la_nLabels = 5 , _la_nTicks = 50 } -- | Generate a linear axis with the specified bounds scaledAxis :: RealFloat a => LinearAxisParams a -> (a,a) -> AxisFn a scaledAxis lap rs@(minV,maxV) ps0 = makeAxis' realToFrac realToFrac (_la_labelf lap) (labelvs,tickvs,gridvs) where ps = filter isValidNumber ps0 range [] = (0,1) range _ | minV == maxV = if minV==0 then (-1,1) else let d = abs (minV * 0.01) in (minV-d,maxV+d) | otherwise = rs labelvs = map fromRational $ steps (fromIntegral (_la_nLabels lap)) r tickvs = map fromRational $ steps (fromIntegral (_la_nTicks lap)) (minimum labelvs,maximum labelvs) gridvs = labelvs r = range ps -- | Generate a linear axis automatically, scaled appropriately for the -- input data. autoScaledAxis :: RealFloat a => LinearAxisParams a -> AxisFn a autoScaledAxis lap ps0 = scaledAxis lap rs ps where ps = filter isValidNumber ps0 rs = (minimum ps,maximum ps) steps :: RealFloat a => a -> (a,a) -> [Rational] steps nSteps rs@(minV,maxV) = map ((s*) . fromIntegral) [min' .. max'] where s = chooseStep nSteps rs min' :: Integer min' = floor $ realToFrac minV / s max' = ceiling $ realToFrac maxV / s chooseStep :: RealFloat a => a -> (a,a) -> Rational chooseStep nsteps (x1,x2) = minimumBy (comparing proximity) stepVals where delta = x2 - x1 mult = 10 ^^ ((floor $ log10 $ delta / nsteps)::Integer) stepVals = map (mult*) [0.1,0.2,0.25,0.5,1.0,2.0,2.5,5.0,10,20,25,50] proximity x = abs $ delta / realToFrac x - nsteps -- | Given a target number of values, and a list of input points, -- find evenly spaced values from the set {1*X, 2*X, 2.5*X, 5*X} (where -- X is some power of ten) that evenly cover the input points. autoSteps :: Int -> [Double] -> [Double] autoSteps nSteps vs = map fromRational $ steps (fromIntegral nSteps) r where range [] = (0,1) range _ | minV == maxV = (minV-0.5,minV+0.5) | otherwise = rs rs@(minV,maxV) = (minimum ps,maximum ps) ps = filter isValidNumber vs r = range ps ---------------------------------------------------------------------- instance (Show a, RealFloat a) => Default (LogAxisParams a) where def = LogAxisParams { _loga_labelf = showD } -- | Generate a log axis automatically, scaled appropriate for the -- input data. autoScaledLogAxis :: RealFloat a => LogAxisParams a -> AxisFn a autoScaledLogAxis lap ps0 = makeAxis' (realToFrac . log) (realToFrac . exp) (_loga_labelf lap) (wrap rlabelvs, wrap rtickvs, wrap rgridvs) where ps = filter (\x -> isValidNumber x && 0 < x) ps0 (minV,maxV) = (minimum ps,maximum ps) wrap = map fromRational range [] = (3,30) range _ | minV == maxV = (realToFrac $ minV/3, realToFrac $ maxV*3) | otherwise = (realToFrac $ minV, realToFrac $ maxV) (rlabelvs, rtickvs, rgridvs) = logTicks (range ps) data LogAxisParams a = LogAxisParams { -- | The function used to show the axes labels. _loga_labelf :: a -> String } {- Rules: Do not subdivide between powers of 10 until all powers of 10 get a major ticks. Do not subdivide between powers of ten as [1,2,4,6,8,10] when 5 gets a major ticks (ie the major ticks need to be a subset of the minor tick) -} logTicks :: Range -> ([Rational],[Rational],[Rational]) logTicks (low,high) = (major,minor,major) where pf :: RealFrac a => a -> (Integer, a) pf = properFraction -- frac :: (RealFrac a, Integral b) => a -> (b, a) frac :: (RealFrac a) => a -> (Integer, a) frac x | 0 <= b = (a,b) | otherwise = (a-1,b+1) where (a,b) = properFraction x ratio = high/low lower a l = let (i,r) = frac (log10 a) in maximum (1:filter (\x -> log10 (fromRational x) <= r) l)*10^^i upper a l = let (i,r) = pf (log10 a) in minimum (10:filter (\x -> r <= log10 (fromRational x)) l)*10^^i powers :: (Double,Double) -> [Rational] -> [Rational] powers (x,y) l = [ a*10^^p | p <- [(floor (log10 x))..(ceiling (log10 y))] :: [Integer] , a <- l ] midselection r l = filter (inRange r l) (powers r l) inRange (a,b) l x = (lower a l <= x) && (x <= upper b l) logRange = (log10 low, log10 high) roundPow x = 10^^(round x :: Integer) major | 17.5 < log10 ratio = map roundPow $ steps (min 5 (log10 ratio)) logRange | 12 < log10 ratio = map roundPow $ steps (log10 ratio / 5) logRange | 6 < log10 ratio = map roundPow $ steps (log10 ratio / 2) logRange | 3 < log10 ratio = midselection (low,high) [1,10] | 20 < ratio = midselection (low,high) [1,5,10] | 6 < ratio = midselection (low,high) [1,2,4,6,8,10] | 3 < ratio = midselection (low,high) [1..10] | otherwise = steps 5 (low,high) (l',h') = (minimum major, maximum major) (dl',dh') = (fromRational l', fromRational h') ratio' :: Double ratio' = fromRational (h'/l') filterX = filter (\x -> l'<=x && x <=h') . powers (dl',dh') minor | 50 < log10 ratio' = map roundPow $ steps 50 (log10 dl', log10 dh') | 6 < log10 ratio' = filterX [1,10] | 3 < log10 ratio' = filterX [1,5,10] | 6 < ratio' = filterX [1..10] | 3 < ratio' = filterX [1,1.2..10] | otherwise = steps 50 (dl', dh') log10 :: (Floating a) => a -> a log10 = logBase 10 $( makeLenses ''LinearAxisParams ) $( makeLenses ''LogAxisParams )