The table summarizes the time series functions available in APL.

Function Description
series_abs Returns the absolute value of a series.
series_acos Returns the inverse cosine (arccos) of a series.
series_add Performs element-wise addition between two series.
series_asin Returns the inverse sine (arcsin) of a series.
series_atan Returns the inverse tangent (arctan) of a series.
series_ceiling Rounds each element up to the nearest integer.
series_cos Returns the cosine of a series.
series_cosine_similarity Calculates the cosine similarity between two series.
series_divide Performs element-wise division between two series.
series_dot_product Calculates the dot product between two series.
series_equals Compares each element in a series to a specified value and returns a boolean array.
series_exp Calculates the exponential (e^x) of each element in a series.
series_fft Performs a Fast Fourier Transform on a series, converting time-domain data into frequency-domain representation.
series_fill_backward Fills missing values by propagating the last known value backward through the array.
series_fill_const Fills missing values with a specified constant value.
series_fill_forward Fills missing values by propagating the first known value forward through the array.
series_fill_linear Fills missing values using linear interpolation between known values.
series_fir Applies a Finite Impulse Response filter to a series using a specified filter kernel.
series_floor Rounds down each element in a series to the nearest integer.
series_greater Returns the elements of a series that are greater than a specified value.
series_greater_equals Returns the elements of a series that are greater than or equal to a specified value.
series_ifft Performs an Inverse Fast Fourier Transform on a series, converting frequency-domain data back into time-domain representation.
series_iir Applies an Infinite Impulse Response filter to a series.
series_less Returns the elements of a series that are less than a specified value.
series_less_equals Returns the elements of a series that are less than or equal to a specified value.
series_log Returns the natural logarithm of each element in a series.
series_magnitude Calculates the Euclidean norm (magnitude) of a series.
series_max Returns the maximum value from a series.
series_min Returns the minimum value from a series.
series_multiply Performs element-wise multiplication of two series.
series_not_equals Returns the elements of a series that aren’t equal to a specified value.
series_pearson_correlation Calculates the Pearson correlation coefficient between two series.
series_pow Raises each element in a series to a specified power.
series_sign Returns the sign of each element in a series.
series_sin Returns the sine of a series.
series_stats Computes comprehensive statistical measures for a series.
series_stats_dynamic Computes statistical measures and returns them in a dynamic object format.
series_subtract Performs element-wise subtraction between two series.
series_sum Returns the sum of a series.
series_tan Returns the tangent of a series.
Time series functions operate on dynamic arrays where the values are real numbers.

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