7.2.3. Event management

This section shows how to use these methods for event management:

• ktk.TimeSeries.add_event

• ktk.TimeSeries.count_events

• ktk.TimeSeries.rename_event

• ktk.TimeSeries.remove_event

• ktk.TimeSeries.remove_duplicate_events

• ktk.TimeSeries.trim_events

• ktk.TimeSeries.ui_edit_events

We will use this TimeSeries that contains cyclic kinetic data in wheelchair propulsion:

import kineticstoolkit.lab as ktk
import matplotlib.pyplot as plt

ts = ktk.load(ktk.doc.download("kinetics_wheelchair_propulsion.ktk.zip"))
ts.plot()

7.2.3.1. Adding events

We already know how to manually add events using ktk.TimeSeries.add_event:

ts = ts.add_event(4.37, "sync")
ts = ts.add_event(8.56, "push")
ts = ts.add_event(9.93, "recovery")
ts = ts.add_event(10.50, "push")
ts = ts.add_event(11.12, "recovery")
ts = ts.add_event(11.78, "push")
ts = ts.add_event(12.33, "recovery")
ts = ts.add_event(13.39, "push")
ts = ts.add_event(13.88, "recovery")
ts = ts.add_event(14.86, "push")
ts = ts.add_event(15.30, "recovery")

ts.plot()

7.2.3.2. Counting the number of occurrences of an event

Each event is defined by its name, and if it is repeated multiple times, by an occurrence. To count these occurrences, we use ktk.TimeSeries.count_events:

print(ts.count_events('sync'), "occurrences of event 'sync'")
print(ts.count_events('push'), "occurrences of event 'push'")
print(ts.count_events('recovery'), "occurrences of event 'recovery'")

1 occurrences of event 'sync'
5 occurrences of event 'push'
5 occurrences of event 'recovery'

7.2.3.3. Renaming events

Renaming events is performed using ktk.TimeSeries.rename_event:

ts = ts.rename_event("push", "lastpush", occurrence=4)
ts = ts.rename_event("recovery", "lastrecovery", occurrence=4)

ts.plot()

7.2.3.4. Removing events

To remove an occurrence of an event, we use ktk.TimeSeries.remove_event. For instance, to remove the second push cycle:

ts = ts.remove_event("push", occurrence=1)
ts = ts.remove_event("recovery", occurrence=1)

ts.plot()

7.2.3.5. Removing duplicate events

It may happen that events get duplicated in a TimeSeries. For instance, we may have added some events twice:

ts = ts.add_event(4.37, "sync")
ts = ts.add_event(8.56, "push")
ts = ts.add_event(9.93, "recovery")
ts = ts.add_event(10.50, "push")
ts = ts.add_event(11.12, "recovery")
ts = ts.add_event(11.78, "push")
ts = ts.add_event(12.33, "recovery")

ts.plot()

Note the superposition of occurrences on the first events. To remove the duplicate events, we use ktk.TimeSeries.remove_duplicate_events:

ts = ts.remove_duplicate_events()
ts.plot()

7.2.3.6. Trimming events

For some reasons, it may happen that a TimeSeries have events outside its time array. Let’s simulate this situation:

ts = ts.add_event(-3.0, "before")
ts = ts.add_event(-1.0, "before")
ts = ts.add_event(23.0, "after")
ts = ts.add_event(25.0, "after")

ts.plot()

To remove any event that is outside the TimeSeries’ time array, we use ktk.TimeSeries.trim_events.

ts = ts.trim_events()
ts.plot()

7.2.3.7. Editing events interactively

Finally, it is possible to edit the events interactively, using ktk.TimeSeries.ui_edit_events. This allows to add, remove and move events by clicking on a figure.

Note

Matplotlib must be interactive. See section Installing and configuring Spyder do help.

ts = ts.ui_edit_events()

which creates the interactive windows shown in Fig. 7.1 and Fig. 7.2.

Fig. 7.1 Interactive figure created by ktk.TimeSeries.ui_edit_events

Fig. 7.2 Interactive menu created by ktk.TimeSeries.ui_edit_events