closed_rows() | Teradata Package for Python - closed_rows() - Teradata Package for Python

Teradata® Package for Python User Guide

Deployment
VantageCloud
VantageCore
Edition
VMware
Enterprise
IntelliFlex
Product
Teradata Package for Python
Release Number
20.00
Published
March 2025
ft:locale
en-US
ft:lastEdition
2026-01-07
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nvi1706202040305.ditamap
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plt1683835213376.ditaval
dita:id
rkb1531260709148
Product Category
Teradata Vantage

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')