Time series funtions

This section explains how to use time series functions in APL.

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.