temporaldata

temporaldata is a Python package for easily working with temporal data. It provides advanced data structures and methods to work with multi-modal, multi-resolution time series data.

It consists of several key data structures for working with regular timeseries, irregular timeseries, and interval objects, and functions for storing, manipulating, and accessing temporal data in a flexible but compute and memory-efficient manner. temporaldata is perfectly suited for deep learning pipelines.

If you encounter any bugs or have feature requests, please submit them to our GitHub Issues page.

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Get Started

• Installation
• When to use temporaldata

Tutorials

• Creating Objects
• Data manipulation
• Interval Operations
• I/O Operations

Advanced Concepts

• Lazy Loading
• Interval Operations - Edge Cases
• Splitting data into train/val/test

Package Reference

• Data Objects
  • ArrayDict
  • IrregularTimeSeries
  • RegularTimeSeries
  • Interval
  • Data
• Functions
  • concat()