Higher-Order Functions

accumulate	The accumulate template applies func to init and X for accumulating iteration (i.e. the result of an iteration is passed forward to the next).
aggrTopN	After sorting funcArgs based on sortingCol, aggrTopN applies func to the first top elements in funcArgs.
all	Return 0 if at least one element of X is false or 0; return 1 otherwise.
any	Return 1 if there is at least one element in X that is true or not 0.
byColumn	If func is a unary function, apply the specified function to each column of X; if func is a binary function, apply func(Xi, Yi) to each column of X and Y.
byRow	If func is a unary function, apply the specified function to each row of X; if func is a binary function, apply func(Xi, Yi) to each row of X and Y.
call	Call a function with the specified parameters.
contextby	Calculate func(funcArgs) for each groupingCol group.
cross	Apply func to the permutation of all individual elements of X and Y and return a matrix.
pcross	pcross is the parallel computing version of template function cross.
each	Apply a function (specified by func or operator) to each element of args / X / Y.
eachLeft	Calculate func(X(i),Y) for each element of X.
eachPre	Apply func over all pairs of consecutive elements of X.
eachRight	Calculate func(X, Y(i)) for each element of Y.
eachPost	Apply func over all pairs of consecutive elements of the object.
groupby	For each group, calculate func(funcArgs) and return a scalar/vector/dictionary.
loop	The loop template is very similar to the each template.
ploop	ploop is the parallel computing version of template function loop .
moving	Apply the function/operator to a moving window of the given objects.
nullCompare	Return a Boolean value which is the result of func(X,Y).
pivot	Rearrange the results of an aggregate function as a matrix.
pcall	Conduct parallel computing of a vector function.
reduce	The function of reduce is the same as accumulate.
rolling	The rolling function applies func to a moving window of funcArgs.
segmentby	segmentby is very similar to contextby except for how groups are determined.
talib	Regarding null value handling, the differences between DolphinDB's built-in moving functions and Python TA-lib lie in:
tmoving	Apply the function/operator to a sliding window of the given objects.
twindow	Apply func over a sliding window of funcArgs.
window	Apply func over a sliding window of funcArgs.
withNullFill	If only 1 of the elements at the same location of x and y is null, replace the null value with fillValue in the calculation.
unifiedCall	Call a function with the specified parameters.
rowGroupby	Group the data by groupingCol, then calculate func(funcArgs) and return a scalar for each group.