Teradata Package for Python Function Reference | 20.00 - length - 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
Published
March 2024
Language
English (United States)
Last Update
2024-04-10
dita:id
TeradataPython_FxRef_Enterprise_2000
Product Category
Teradata Vantage
teradataml.dataframe.sql.DataFrameColumn.length = length()
DESCRIPTION:
    Function returns the number of characters in the values of column.
 
ALTERNATE_NAMES:
    character_length
    char_length
 
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: Returns length of character string in "programming" column and pass
    #            it as input to DataFrame.assign().
    >>> result = df.assign(col = df.programming.length())
    >>> print(result)
       masters   gpa     stats programming  admitted  col
    id
    3       no  3.70    Novice    Beginner         1  8.0
    4      yes  3.50  Beginner      Novice         1  6.0
    2      yes  3.76  Beginner    Beginner         0  8.0
    1      yes  3.95  Beginner    Beginner         0  8.0
 
    # Example 2: Executed length() function on "programming" column and filtered computed
    #            values which are equal to 6.0.
    >>> print(df[df.programming.length() == 6.0])
       masters  gpa     stats programming  admitted
    id
    4      yes  3.5  Beginner      Novice         1