.. currentmodule:: gwpy.table.lsctables ############################## Calculating event trigger rate ############################## ================= Simple event rate ================= For discrete data in the form of event triggers, it is often very illuminating to analyse the rate at which these events occur in time - usually a high event rate is indicative of a higher noise level. One can calculate the event rate of any of the annotated tables using its :meth:`event_rate` method. For example, as defined for the `SnglBurstTable`: .. automethod:: SnglBurstTable.event_rate :noindex: We can use the same data as for the example on :doc:`plotting event triggers <../examples/table/scatter>` to demonstrate how to calculate and display the rate versus time of some event triggers: .. literalinclude:: ../../examples/table/rate.py :lines: 36,39,40,43,46-50 .. plot:: ../examples/table/rate.py | This code is a snippet of the example on :doc:`plotting event rate <../examples/table/rate>`. ================= Binned event rate ================= Following from a simple rate versus time calculation, it is often useful to calculate the event rate for multiple conditions on the same table. The :meth:`binned_event_rates` method is attached to each :class:`~glue.ligolw.table.Table` subclass for convenience. .. automethod:: SnglBurstTable.binned_event_rates :noindex: For example, in the following example, we calculate the rate of events with signal-to-noise ratio (SNR) above some threshold, for the same table as above. .. literalinclude:: ../../examples/table/rate_binned.py :lines: 41-42,48-53 .. plot:: ../examples/table/rate_binned.py | This code is a snippet of the example on :doc:`plotting event rate <../examples/table/rate_binned>`.