Welcome to Trouve’s documentation!

Trouve specializes in finding discrete events in uniformly sampled, time-series data such as IoT and sensor data based on boolean conditional arrays. It currently only supports Python 3 on both Windows and Linux.

• Installation and Dependencies
• Quickstart
  • Setup
  • Finding Events
  • Applying Transformations
  • Array Methods
  • Inspecting Events
  • Magic Methods
• Events
• Transformations
  • Definitions
• Tips and Tricks
  • Specify Sample Period for Reuse
  • Multi-parameter Conditional Array
  • Events and the numpy.ma Module
  • Getting Events into a pandas.DataFrame
  • Finding Inverse Events
  • Events.durations Tips
• Change Log
  • 0.6.0
  • 0.5.2
  • 0.5.1
  • 0.5.0

Indices and tables

• Index
• Module Index
• Search Page