Teradata Package for Python Function Reference | 20.00 - __rand__ - 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 - 20.00
- Deployment
- VantageCloud
- VantageCore
- Edition
- Enterprise
- IntelliFlex
- VMware
- 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_Enterprise_2000
- lifecycle
- latest
- Product Category
- Teradata Vantage
- teradataml.dataframe.sql.DataFrameColumn.__rand__ = __rand__(self, other)
- Compute the reverse of logical AND between two ColumnExpressions using &.
PARAMETERS:
other:
Required Argument.
Specifies Python literal or another ColumnExpression.
Types: ColumnExpression, Python literal
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 who got the admission (i.e., admitted = 1)
# and has GPA greater than 3.5.
>>> df[(df.gpa > 3.5) & (df.admitted == 1)]
masters gpa stats programming admitted
id
21 no 3.87 Novice Beginner 1
26 yes 3.57 Advanced Advanced 1
3 no 3.70 Novice Beginner 1
20 yes 3.90 Advanced Advanced 1
37 no 3.52 Novice Novice 1
35 no 3.68 Novice Beginner 1
12 no 3.65 Novice Novice 1
18 yes 3.81 Advanced Advanced 1
17 no 3.83 Advanced Advanced 1
23 yes 3.59 Advanced Novice 1