Teradata Package for Python Function Reference on VantageCloud Lake - signum - 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.sql.DataFrameColumn.signum = signum()
- DESCRIPTION:
Function returns the sign of numeric values in column.
Notes:
* If numeric value is < 0, -1 is returned.
* If numeric value is = 0, 0 is returned.
* If numeric value is > 0, 1 is returned.
ALTERNATE NAME:
sign
RAISES:
TypeError, ValueError, TeradataMlException
RETURNS:
DataFrameColumn
EXAMPLES:
# Load the data to execute the example.
>>> load_example_data("dataframe", "admissions_train")
>>>
# Create a DataFrame on 'admissions_train' table.
>>> df = DataFrame("admissions_train").iloc[:4]
>>> print(df)
masters gpa stats programming admitted
id
3 no 3.70 Novice Beginner 1
4 yes 3.50 Beginner Novice 1
2 yes 3.76 Beginner Beginner 0
1 yes 3.95 Beginner Beginner 0
# Example 1: Execute the signum() function and pass it as input
# to DataFrame.assign().
>>> res = df.assign(col = df.gpa.signum())
>>> print(res)
masters gpa stats programming admitted col
id
3 no 3.70 Novice Beginner 1 1.0
4 yes 3.50 Beginner Novice 1 1.0
2 yes 3.76 Beginner Beginner 0 1.0
1 yes 3.95 Beginner Beginner 0 1.0
# Example 2: Executed signum() function on "gpa" column and filtered
# computed values which are equal to 1.0.
>>> print(df[df.gpa.signum() == 1.0])
masters gpa stats programming admitted
id
3 no 3.70 Novice Beginner 1
4 yes 3.50 Beginner Novice 1
2 yes 3.76 Beginner Beginner 0
1 yes 3.95 Beginner Beginner 0