This dataset demonstrates the multi-element timestamp feature in data export.
multi_element_timestamps.csvThis dataset includes all scenarios for multi-element timestamps:
2024-01-01 09:00:00 -
Items 101, 102, 103 all arrive -
element_id: A:101;102;103
2024-01-02 10:30:00 -
Items 104, 105 arrive - element_id:
A:104;105
2024-01-03 11:15:00 -
Items 106, 107, 108 arrive; Item 102
departs - element_id:
A:106;107;108|D:102
2024-01-04 14:00:00 -
Items 109, 110 arrive; Item 110 also
completes (spike) - element_id:
A:109;110|D:110 - Item 110
has zero duration (arrives and departs at
same time)
2024-01-13 11:00:00 -
Items 115, 116 depart together -
element_id: D:115;116
2024-01-08 10:00:00 -
Items 115, 116 arrive; Items 106, 107
depart - element_id:
A:115;116|D:106;107
# Export event-indexed metrics with multi-element IDs
uv run samplepath examples/multi_element_timestamps.csv --export-only
# View the element_id column formatting
uv run samplepath examples/multi_element_timestamps.csv --export-dataIn
event_indexed_metrics.csv,
the element_id column will
show:
"101"
(plain ID)"A:101;102;103"
(semicolon-separated)"D:115;116""A:115;116|D:106;107"
(arrivals before departures,
pipe-separated)Total events: 20 items with carefully orchestrated timestamps to create: - 3 arrivals at 09:00 (items 101-103) - 2 arrivals at 10:30 (items 104-105) - 3 arrivals + 1 departure at 11:15 (items 106-108 arrive, 102 departs) - 1 zero-duration event at 14:00 (item 110) - Multiple other mixed scenarios throughout the timeline