eventlogic 0.1.11

EventLogic is a lightweight library for performing logical operations on event-style or timestamp data. Logical operations on event-style data are commonplace in many fields. This library seeks to provide a generalized framework and methods for dealing with this data.

Description

EventLogic is a lightweight library for performing logical operations on event-style or timestamp data. Logical operations on event-style data are commonplace in many fields. This library seeks to provide a generalized framework and methods for dealing with this data.

Installation

EventLogic can be installed with pip.

pip install --upgrade pip
pip install eventlogic

Examples

There are 9 flavors of event interactions:

Case	Events
1
2
3
4
5
6
7
8
9

Usage

The Event class represents an event with a start (on) and end (off) time. It supports various logical operations:

Operation Class	Symbols
Comparison Operators	>, <, >=, <=, ==, !=
Logical Operators	&, |, ^
Containment	in, not in

Creating an Event

from eventlogic import Event
event = Event(on=1, off=5)

Event Duration

duration = event.duration()  # Returns the duration of the event

Copying an Event

event_copy = event.copy()

Event Existence

exists = event.exists()  # Checks if the event is defined

Comparison Operators

If we look at case 1:

from eventlogic import Event
a = Event(3,4)
b = Event(1,2)
a > b # True
a < b # False

Logical Operations

event1 = Event(on=1, off=5)
event2 = Event(on=4, off=6)

Intersection

intersection = event1 & event2  # Returns (4,5)

Union

union = event1 | event2  # Returns [(1,6)]

xor

xor = event1 ^ event2  # Returns ((1,4), (5,6))

Containment Operators

If we look at case 9:

from eventlogic import Event
a = Event(3,4)
b = Event(2,5)
a in b # True
a not in b # False

Working with numpy.datetime64

import numpy as np
from eventlogic import Event

a = Event(np.datetime64('2023-01-01T12:00'), np.datetime64('2023-01-01T14:00'))
b = Event(np.datetime64('2023-01-01T13:00'), np.datetime64('2023-01-01T15:00'))

print(a & b)  # (2023-01-01T13:00,2023-01-01T14:00)
print(a | b)  # [(2023-01-01T12:00,2023-01-01T15:00)]
print(a > b)  # False
print(a < b)  # False

Event Container

The Events class allows for handling multiple events at once.

from eventlogic import Event, Events
events = Events([Event(1, 2), Event(3, 4), Event(5, 6)])
print(len(events))  # 3
print(events)  # [(1,2), (3,4), (5,6)]

And importantly, the creation of Events from numpy arrays (including datetime!).

import numpy as np
from eventlogic import Events

ons = np.array([1,3,5])
offs = np.array([2,4,6])
events = Events.from_arrays(ons,offs)
print(len(events))  # 3
print(events)  # [(1,2), (3,4), (5,6)]

Merging Events

merged_events = events.merge(threshold=0.5)
print(merged_events)

Filtering Events by Duration

filtered_events = events.duration_filter(lower_bound=0.5, upper_bound=2.0)
print(filtered_events)