Periodic Sequence Split Table¶
Splits tables of data in equidistant points based on the periodicity of an identifier column
Documentation¶
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.
Definition¶
Input ports¶
- sequence table
The sequence to split
Output ports¶
- sequences [table]
The split sequences
Configuration¶
- 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
Examples¶
Implementation¶
- class node_sequencesplit.SequenceSplit[source]