Bin continuous values into discrete containers in an interval, useful for histograms.
-- divide into 10 bins between 5 and 50, logarithmically
ghci> withBinner (logBS @10 5 50) $ \toBin -> do
print (toBin 1)
print (toBin 30)
print (binIx (toBin 30))
print (toBin 100)
Bin (-inf .. 5.0) -- 1 is outside of range
Bin [25.06 .. 31.55) -- 30 is inside bin enclosed by 25.06 and 31.55
PElem (Finite 7) -- 30 is in Bin #7 (indexed from 0)
Bin [50 .. -inf) -- 100 is outside of range
-- Generate a histogram based on the bins from valules in a list
ghci> xs = [1..100] :: [Double]
ghci> withBinner (logBS @10 5 50) $ \toBin -> do
mapM_ (\(b, n) -> putStrLn (displayBinDouble 4 b ++ "\t" ++ show n))
. M.toList
$ binFreq toBin xs
(-inf .. 5.0000) 4
[5.0000 .. 6.2946) 2
[6.2946 .. 7.9245) 1
[7.9245 .. 9.9763) 2
[9.9763 .. 12.5594) 3
[12.5594 .. 15.8114) 3
[15.8114 .. 19.9054) 4
[19.9054 .. 25.0594) 6
[25.0594 .. 31.5479) 6
[31.5479 .. 39.7164) 8
[39.7164 .. 50.0000) 10
[50.0000 .. +inf) 51