Use the closed_rows() function to retrieve closed rows from a DataFrame created on a transaction-time or bi-temporal table/view. Closed rows are defined as those where the end of the transaction-time period is less than the current time.
There are no parameters for this function.
Example setup
Load the data to run the example.
>>> load_example_data("teradataml", "Employee_address")
Create a DataFrame on 'Employee_address' table.
>>> df = DataFrame("Employee_address")
Example: Retrieve closed rows from the DataFrame
>>> df.closed_rows()
EmployeeID EmployeeName address validity_period
1 John Doe 123 Main St ('2025-03-04 15:41:44.610000+00:00', '2025-04-01 23:59:59.999999+00:00')