DataFrames for Tables and Views - Teradata Package for Python

Teradata® Package for Python User Guide

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Package for Python
Release Number
20.00
Published
December 2024
ft:locale
en-US
ft:lastEdition
2025-01-23
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nvi1706202040305.ditamap
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plt1683835213376.ditaval
dita:id
rkb1531260709148
lifecycle
latest
Product Category
Teradata Vantage

This section provides detailed usage examples of the functions for data management, exploration, preparation in teradataml.

teradataml DataFrame examples documented in this guide require certain datasets to be loaded. Use these commands to load them:
>>> from teradataml import load_example_data
>>> load_example_data("dataframe", ["scale_housing_test", "employee_info", "sales", "admissions_train", "join_table1", "join_table2", "iris_test"])
See load_example_data() Function for more details about 'load_example_data()' utility.

In this section, assume you have a context created with these commands:

>>> from teradataml import create_context, DataFrame
>>> create_context(host = "myhostname", username="myusername", password = "mypassword")