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- degrees(column_expression_or_constant)
- DESCRIPTION:
Function takes a value specified in radians and converts it to degrees.
PARAMETERS:
column_expression_or_constant:
Required Argument.
Specifies a ColumnExpression containing radian values or constant representing a radian value.
Format for the argument: '<dataframe>.<dataframe_column>.expression'.
Notes:
1. If the type of the column/argument is not FLOAT, column values are converted to FLOAT
based on implicit type conversion rules. If an argument cannot be converted, an
error is reported. For more information on implicit type conversion,
see Teradata Vantage™ Data Types and Literals, B035-1143.
2. Unsupported column types:
a. BYTE or VARBYTE
b. LOBs (BLOB or CLOB)
c. CHARACTER or VARCHAR if the server character set is GRAPHIC
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
>>>
# Import func from sqlalchemy to execute degrees() function.
>>> from sqlalchemy import func
# Calculate degrees for values in "admitted" column.
# Create a sqlalchemy Function object.
>>> degrees_func_ = func.degrees(admissions_train.admitted.expression)
>>>
# Pass the Function object as input to DataFrame.assign().
>>> df = admissions_train.assign(degrees_admitted_func_ = degrees_func_)
>>> print(df)
masters gpa stats programming admitted degrees_admitted_func_
id
22 yes 3.46 Novice Beginner 0 0.00000
26 yes 3.57 Advanced Advanced 1 57.29578
5 no 3.44 Novice Novice 0 0.00000
17 no 3.83 Advanced Advanced 1 57.29578
13 no 4.00 Advanced Novice 1 57.29578
19 yes 1.98 Advanced Advanced 0 0.00000
36 no 3.00 Advanced Novice 0 0.00000
15 yes 4.00 Advanced Advanced 1 57.29578
34 yes 3.85 Advanced Beginner 0 0.00000
38 yes 2.65 Advanced Beginner 1 57.29578
>>>
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