Teradata Package for Python Function Reference | 20.00 - lower - 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
- Product Category
- Teradata Vantage
- teradataml.dataframe.sql.DataFrameColumn.lower = lower()
- DESCRIPTION:
Function returns a character string identical to the string value in column,
except that all uppercase letters are replaced with their lowercase equivalents.
RAISES:
TypeError, ValueError, TeradataMlException
RETURNS:
DataFrameColumn
EXAMPLES:
# Load the data to run 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: Convert strings in "stats" column to lowercase and pass it
# as input to DataFrame.assign().
>>> res = df.assign(col = df.stats.lower())
>>> print(res)
masters gpa stats programming admitted col
id
3 no 3.70 Novice Beginner 1 novice
4 yes 3.50 Beginner Novice 1 beginner
2 yes 3.76 Beginner Beginner 0 beginner
1 yes 3.95 Beginner Beginner 0 beginner
# Example 2: Executed lower() function on "stats" column and filtered computed
# values which are equal to 'novice'.
>>> print(df[df.stats.lower() == "novice"])
masters gpa stats programming admitted
id
3 no 3.7 Novice Beginner 1