Teradata Package for Python Function Reference on VantageCloud Lake - alias - Teradata Package for Python - Look here for syntax, methods and examples for the functions included in the Teradata Package for Python.
Teradata® Package for Python Function Reference on VantageCloud Lake
- Deployment
- VantageCloud
- Edition
- Lake
- Product
- Teradata Package for Python
- Release Number
- 20.00.00.03
- Published
- December 2024
- ft:locale
- en-US
- ft:lastEdition
- 2024-12-19
- dita:id
- TeradataPython_FxRef_Lake_2000
- Product Category
- Teradata Vantage
- teradataml.dataframe.dataframe.DataFrame.alias = alias(self, alias_name)
- DESCRIPTION:
Method to create an aliased teradataml DataFrame.
Note:
* This method is recommended to be used before performing
self join using DataFrame's join() API.
PARAMETERS:
alias_name:
Required Argument.
Specifies the alias name to be assigned to a teradataml DataFrame.
Types: str
RETURNS:
teradataml DataFrame
EXAMPLES:
>>> load_example_data("dataframe", "admissions_train")
>>> df = DataFrame("admissions_train")
>>> df
masters gpa stats programming admitted
id
13 no 4.00 Advanced Novice 1
26 yes 3.57 Advanced Advanced 1
5 no 3.44 Novice Novice 0
19 yes 1.98 Advanced Advanced 0
15 yes 4.00 Advanced Advanced 1
40 yes 3.95 Novice Beginner 0
7 yes 2.33 Novice Novice 1
22 yes 3.46 Novice Beginner 0
36 no 3.00 Advanced Novice 0
38 yes 2.65 Advanced Beginner 1
# Example 1: Create an alias of teradataml DataFrame.
>>> df2 = df.alias("adm_trn")
# Print aliased DataFrame.
>>> df2
masters gpa stats programming admitted
id
13 no 4.00 Advanced Novice 1
26 yes 3.57 Advanced Advanced 1
5 no 3.44 Novice Novice 0
19 yes 1.98 Advanced Advanced 0
15 yes 4.00 Advanced Advanced 1
40 yes 3.95 Novice Beginner 0
7 yes 2.33 Novice Novice 1
22 yes 3.46 Novice Beginner 0
36 no 3.00 Advanced Novice 0
38 yes 2.65 Advanced Beginner 1