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- ceil(column_expression)
- DESCRIPTION:
Function returns the smallest integer value that is not less than the input argument.
PARAMETERS:
column_expression:
Required Argument.
Specifies a ColumnExpression of a numeric column on which ceil() is requested.
Format for the argument: '<dataframe>.<dataframe_column>.expression'.
NOTE:
Function accepts positional arguments only.
ALTERNATE NAME:
ceiling
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 calculates ceil value for the "gpa" column with help of SQLAlchemy.
# Import func from sqlalchemy to execute ceil() function.
>>> from sqlalchemy import func
# Create a sqlalchemy Function object.
>>> ceil_func_ = func.ceil(admissions_train.gpa.expression)
>>>
# Pass the Function object as input to DataFrame.assign().
>>> df = admissions_train.assign(ceil_gpa_ = ceil_func_)
>>> print(df)
masters gpa stats programming admitted ceil_gpa_
id
13 no 4.00 Advanced Novice 1 4.0
36 no 3.00 Advanced Novice 0 3.0
15 yes 4.00 Advanced Advanced 1 4.0
40 yes 3.95 Novice Beginner 0 4.0
22 yes 3.46 Novice Beginner 0 4.0
38 yes 2.65 Advanced Beginner 1 3.0
26 yes 3.57 Advanced Advanced 1 4.0
5 no 3.44 Novice Novice 0 4.0
7 yes 2.33 Novice Novice 1 3.0
19 yes 1.98 Advanced Advanced 0 2.0
>>>
# "ceiling" can be used as an alternative function name.
>>> ceiling_func_ = func.ceiling(admissions_train.gpa.expression)
>>>
# Pass the Function object as input to DataFrame.assign().
>>> df = admissions_train.assign(ceiling_gpa_ = ceiling_func_)
>>> print(df)
masters gpa stats programming admitted ceiling_gpa_
id
13 no 4.00 Advanced Novice 1 4.0
36 no 3.00 Advanced Novice 0 3.0
15 yes 4.00 Advanced Advanced 1 4.0
40 yes 3.95 Novice Beginner 0 4.0
22 yes 3.46 Novice Beginner 0 4.0
38 yes 2.65 Advanced Beginner 1 3.0
26 yes 3.57 Advanced Advanced 1 4.0
5 no 3.44 Novice Novice 0 4.0
7 yes 2.33 Novice Novice 1 3.0
19 yes 1.98 Advanced Advanced 0 2.0
>>>
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