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The table summarizes the time series functions available in APL.
FunctionDescription
series_absReturns the absolute value of a series.
series_acosReturns the inverse cosine (arccos) of a series.
series_asinReturns the inverse sine (arcsin) of a series.
series_atanReturns the inverse tangent (arctan) of a series.
series_cosReturns the cosine of a series.
series_equalsCompares each element in a series to a specified value and returns a boolean array.
series_expCalculates the exponential (e^x) of each element in a series.
series_fftPerforms a Fast Fourier Transform on a series, converting time-domain data into frequency-domain representation.
series_fill_backwardFills missing values by propagating the last known value backward through the array.
series_fill_constFills missing values with a specified constant value.
series_fill_forwardFills missing values by propagating the first known value forward through the array.
series_fill_linearFills missing values using linear interpolation between known values.
series_firApplies a Finite Impulse Response filter to a series using a specified filter kernel.
series_floorRounds down each element in a series to the nearest integer.
series_greaterReturns the elements of a series that are greater than a specified value.
series_greater_equalsReturns the elements of a series that are greater than or equal to a specified value.
series_ifftPerforms an Inverse Fast Fourier Transform on a series, converting frequency-domain data back into time-domain representation.
series_lessReturns the elements of a series that are less than a specified value.
series_less_equalsReturns the elements of a series that are less than or equal to a specified value.
series_not_equalsReturns the elements of a series that aren’t equal to a specified value.
series_sinReturns the sine of a series.
series_sumReturns the sum of a series.
series_tanReturns the tangent of a series.
Time series functions operate on dynamic arrays where the values are real numbers.