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massiv-io Data.Massiv.Array.IO Similar to readImage, but will perform all necessary color space conversion and precision adjustment in order to match the result image type. Very useful whenever image format isn't known ahead of time.
>>> frogCMYK <- readImageAuto "files/frog.jpg" :: IO (Image S (CMYK (SRGB 'NonLinear)) Double) >>> size frogCMYK Sz (200 :. 320)
readableAdhoc :: Readable f out => f -> Decode outmassiv-io Data.Massiv.Array.IO Utilize a Readable instance in order to construct an adhoc Decode type
readData :: ToJSON a => a -> Matplotlibmatplotlib Graphics.Matplotlib Load the given data into the python "data" array
readImage :: MplotImage i => i -> Matplotlibmatplotlib Graphics.Matplotlib Load the given image into python "img" variable
readData :: ToJSON a => a -> Matplotlibmatplotlib Graphics.Matplotlib.Internal Load the given data into the python "data" array
readImage :: MplotImage i => i -> Matplotlibmatplotlib Graphics.Matplotlib.Internal Load the given image into python "img" variable
readArray :: FilePath -> IO (Array Scientific)matrix-market-attoparsec Data.Matrix.MatrixMarket Load a dense matrix (i.e. a matrix or vector in Array format) from file. Uses readArray' internally
readArray' :: MonadThrow m => ByteString -> m (Array Scientific)matrix-market-attoparsec Data.Matrix.MatrixMarket Deserialize a dense matrix (i.e. a matrix or vector in Array format) from a lazy ByteString. Throws a FileParseError if the input cannot be parsed
readMatrix :: FilePath -> IO (Matrix Scientific)matrix-market-attoparsec Data.Matrix.MatrixMarket Load a matrix (sparse, i.e. in Coordinate format) from file. Uses readMatrix' internally
readMatrix' :: MonadThrow m => ByteString -> m (Matrix Scientific)matrix-market-attoparsec Data.Matrix.MatrixMarket Deserialize a matrix (sparse, i.e. in Coordinate format) from a lazy ByteString. Throws a FileParseError if the input cannot be parsed