Periodic Sequence Split Table


Splits tables of data in equidistant points based on the periodicity of an identifier column


Find peaks in a signal and slice the input Table into a list of Tables, where each element contains one peak.

If peaks are found very close to the edges of the data, the first and/or last element may contain unexpected results. If this is the case, use Slice List to remove these elements.


Input ports



The sequence to split

Output ports



The split sequences

Offset of peridodic event (0-100) (lag_offset)

Add lag as a percentage of the discarded data

Peak Detecting Algorithm (peak_detector)

Choose which algorithm to detect periodic events

Samples per peak (samples)

Choose an approximate value for the number of expected samples between peaks

Select column (select_column)

Choose column to use as identifier

class node_sequencesplit.SequenceSplit[source]

Example flows