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- ascii(column_expression)
- DESCRIPTION:
Function returns the decimal representation of the first character in
column_expression as a NUMBER value. The decimal representation will reflect
the character set of the input string.
PARAMETERS:
column_expression:
Required Argument.
Specifies a ColumnExpression of a character column or a string literal for
which the ASCII value is to be returned.
If argument is null, then result is null.
Format of a ColumnExpression of a string column: '<dataframe>.<dataframe_column>.expression'.
Supported column types: CHAR, VARCHAR, and CLOB
NOTE:
Function accepts positional arguments only.
EXAMPLES:
# Load the data to run the example.
>>> load_example_data("dataframe", "admissions_train")
>>>
# Create a DataFrame on 'admissions_train' table.
>>> admissions_train = DataFrame("admissions_train")
>>> admissions_train
masters gpa stats programming admitted
id
22 yes 3.46 Novice Beginner 0
36 no 3.00 Advanced Novice 0
15 yes 4.00 Advanced Advanced 1
38 yes 2.65 Advanced Beginner 1
5 no 3.44 Novice Novice 0
17 no 3.83 Advanced Advanced 1
34 yes 3.85 Advanced Beginner 0
13 no 4.00 Advanced Novice 1
26 yes 3.57 Advanced Advanced 1
19 yes 1.98 Advanced Advanced 0
>>>
# Example returns the ascii representation for character string in "stats" column.
# Import func from sqlalchemy to execute ascii function.
>>> from sqlalchemy import func
# Create a sqlalchemy Function object.
>>> ascii_func_ = func.ascii(admissions_train.stats.expression)
>>>
# Pass the Function object as input to DataFrame.assign().
>>> df = admissions_train.assign(ascii_stats_=ascii_func_)
>>> print(df)
masters gpa stats programming admitted ascii_stats_
id
13 no 4.00 Advanced Novice 1 65
26 yes 3.57 Advanced Advanced 1 65
5 no 3.44 Novice Novice 0 78
19 yes 1.98 Advanced Advanced 0 65
15 yes 4.00 Advanced Advanced 1 65
40 yes 3.95 Novice Beginner 0 78
7 yes 2.33 Novice Novice 1 78
22 yes 3.46 Novice Beginner 0 78
36 no 3.00 Advanced Novice 0 65
38 yes 2.65 Advanced Beginner 1 65
>>>
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