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  1. sum :: Text -> DataFrame -> Maybe Double

    dataframe DataFrame

    No documentation available.

  2. sum :: forall a f (d :: Dimension) . (Num a, Foldable f) => f (Quantity d a) -> Quantity d a

    dimensional Numeric.Units.Dimensional

    The sum of all elements in a foldable structure.

    >>> sum ([] :: [Mass Double])
    0.0 kg
    
    >>> sum [12.4 *~ meter, 1 *~ foot]
    12.7048 m
    

  3. sum :: forall a f (s :: ExactPi') (d :: Dimension) . (Num a, Foldable f) => f (SQuantity s d a) -> SQuantity s d a

    dimensional Numeric.Units.Dimensional.FixedPoint

    The sum of all elements in a list.

  4. sum :: forall a f (d :: Dimension) . (Num a, Foldable f) => f (Quantity d a) -> Quantity d a

    dimensional Numeric.Units.Dimensional.Prelude

    The sum of all elements in a foldable structure.

    >>> sum ([] :: [Mass Double])
    0.0 kg
    
    >>> sum [12.4 *~ meter, 1 *~ foot]
    12.7048 m
    

  5. sum :: (Foldable t, Num a) => t a -> a

    distribution-opensuse OpenSuse.Prelude

    The sum function computes the sum of the numbers of a structure.

    Examples

    Basic usage:
    >>> sum []
    0
    
    >>> sum [42]
    42
    
    >>> sum [1..10]
    55
    
    >>> sum [4.1, 2.0, 1.7]
    7.8
    
    >>> sum [1..]
    * Hangs forever *
    

  6. sum :: (Unbox a, Num a) => Histogram bin a -> a

    histogram-fill Data.Histogram

    No documentation available.

  7. sum :: forall (v :: Type -> Type) a bin . (Vector v a, Num a) => Histogram v bin a -> a

    histogram-fill Data.Histogram.Generic

    Sum contents of all bins

  8. sum :: a <-> Sum a

    invertible Data.Invertible.Monoid

    (Un)wrap the Sum monoid.

  9. sum :: (Num a, Monad m) => Stream m a -> m a

    leveldb-haskell Data.Stream.Monadic

    No documentation available.

  10. sum :: Aggregator (Field a) (Field a)

    opaleye Opaleye.Aggregate

    Sum all rows in a group. WARNING! The type of this operation is wrong and will crash at runtime when the argument is SqlInt4 or SqlInt8. For those use sumInt4 or sumInt8 instead.

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