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Joris Van den Bossche commented on ARROW-12751: ----------------------------------------------- Numpy has this as {{np.minimum}} and {{np.maximum}}, although those are limited to a fixed number of 2 input arrays (so a binary min/max, not variadic) > [C++] Add variadic row-wise min/max kernels (least/greatest) > ------------------------------------------------------------ > > Key: ARROW-12751 > URL: https://issues.apache.org/jira/browse/ARROW-12751 > Project: Apache Arrow > Issue Type: Improvement > Components: C++ > Reporter: Ian Cook > Priority: Major > > Add a pair of variadic functions equivalent to SQL's {{least}}/{{greatest}} > or R's {{pmin}}/{{pmax}}. Should take 0, 1, 2, ... same-length numeric arrays > as input and return an array giving the minimum/maximum of the values found > in each position of the input arrays. For example, in the case of these 2 > input arrays: > {code:java} > Array<double> Array<double> > [ [ > 1, 2, > 4 3 > ] ] > {code} > {{least}} would return: > {code:java} > Array<double> > [ > 1, > 3 > ] > {code} > and {{greatest}} would return > {code:java} > Array<double> > [ > 2, > 4 > ] > {code} > The returned array should have the same data type as the input arrays, or > follow promotion rules if the numeric types of the input arrays differ. > Should also accept scalar numeric inputs and recycle their values. -- This message was sent by Atlassian Jira (v8.3.4#803005)