Teradata Package for Python Function Reference | 20.00 - ascii - 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.ascii = ascii()
- DESCRIPTION:
Function returns the decimal representation of the first character in
the values of the column as a NUMBER value. The decimal representation will reflect
the character set of the input string.
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 the ascii representation for character string in "stats" column and
# pass it as input to DataFrame.assign().
>>> res = df.assign(col=df.stats.ascii())
>>> print(res)
masters gpa stats programming admitted col
id
3 no 3.70 Novice Beginner 1 78.0
4 yes 3.50 Beginner Novice 1 66.0
2 yes 3.76 Beginner Beginner 0 66.0
1 yes 3.95 Beginner Beginner 0 66.0
# Example 2: Executed ascii() function on "stats" column and filtered computed
# values which are equal to 66.0.
>>> print(df[df.stats.ascii() == 66.0])
masters gpa stats programming admitted
id
4 yes 3.50 Beginner Novice 1
2 yes 3.76 Beginner Beginner 0
1 yes 3.95 Beginner Beginner 0