Time Travel DataFrames are a set of APIs that query, analyze, and manipulate temporal data directly from Python. Use these features to access historical, current, and future states of your data, leveraging Teradata’s temporal table capabilities through a familiar DataFrame interface.
- Query the state of your data as it existed at any point in time.
- Retrieve only currently valid (open) or no-longer-valid (closed) records.
- Analyze historical or future-dated data with simple, readable code.
Time Travel DataFrames fully support Teradata's valid-time dimension, transaction-time dimension, and bitemporal tables. This means you can work with tables that track business effective time, system time, or both, using a unified and simple API.