featuretools.primitives.DivideNumeric

class featuretools.primitives.DivideNumeric(commutative=False)

Performs element-wise division of two lists.

Description:

Given a list of values X and a list of values Y, determine the quotient of each value in X divided by its corresponding value in Y.

Parameters:

commutative (bool) – determines if Deep Feature Synthesis should generate both x / y and y / x, or just one. If True, there is no guarantee which of the two will be generated. Defaults to False.

Examples

>>> divide_numeric = DivideNumeric()
>>> divide_numeric([2.0, 1.0, 2.0], [1.0, 2.0, 2.0]).tolist()
[2.0, 0.5, 1.0]

__init__(commutative=False)

Methods

__init__([commutative])
flatten_nested_input_types(input_types)	Flattens nested column schema inputs into a single list.
generate_name(base_feature_names)
generate_names(base_feature_names)
get_args_string()
get_arguments()
get_description(input_column_descriptions[, ...])
get_filepath(filename)
get_function()

Attributes

base_of
base_of_exclude
commutative
default_value	Default value this feature returns if no data found.
description_template
input_types	woodwork.ColumnSchema types of inputs
max_stack_depth
name	Name of the primitive
number_output_features	Number of columns in feature matrix associated with this feature
return_type	ColumnSchema type of return
stack_on
stack_on_exclude
stack_on_self
uses_calc_time
uses_full_dataframe