Teradata Package for Python Function Reference on VantageCloud Lake - __xor__ - 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
- Language
- English (United States)
- Last Update
- 2024-12-19
- dita:id
- TeradataPython_FxRef_Lake_2000
- Product Category
- Teradata Vantage
- teradataml.dataframe.sql.DataFrameColumn.__xor__ = __xor__(self, other)
- Compute the logical XOR between two ColumnExpressions using ^.
The logical XOR operator is an operator that performs a
exclusive disjunction on two statements.
PARAMETERS:
other:
Required Argument.
Specifies another ColumnExpression.
Types: ColumnExpression
RETURNS:
ColumnExpression
RAISES:
Exception
A TeradataMlException gets thrown if SQLAlchemy
throws an exception when evaluating the expression.
EXAMPLES:
>>> load_example_data("dataframe", "admissions_train")
>>> df = DataFrame("admissions_train")
>>> df
masters gpa stats programming admitted
id
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
38 yes 2.65 Advanced Beginner 1
26 yes 3.57 Advanced Advanced 1
5 no 3.44 Novice Novice 0
24 no 1.87 Advanced Novice 1
39 yes 3.75 Advanced Beginner 0
30 yes 3.79 Advanced Novice 0
# Example 1: Get all students with gpa is greater
# than 3.5 or programming skills are 'Advanced'.
>>> df[(df.gpa > 3.5) ^ (df.programming == "Advanced")]
masters gpa stats programming admitted
id
14 yes 3.45 Advanced Advanced 0
40 yes 3.95 Novice Beginner 0
39 yes 3.75 Advanced Beginner 0
37 no 3.52 Novice Novice 1
3 no 3.70 Novice Beginner 1
1 yes 3.95 Beginner Beginner 0
2 yes 3.76 Beginner Beginner 0
35 no 3.68 Novice Beginner 1
29 yes 4.00 Novice Beginner 0
30 yes 3.79 Advanced Novice 0