featuretools.primitives.SubtractNumeric#

class featuretools.primitives.SubtractNumeric(commutative=True)[source]#

Performs element-wise subtraction of two lists.

Description:: Given a list of values X and a list of values Y, determine the difference of each value in X from 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 True.

Examples

>>> subtract_numeric = SubtractNumeric()
>>> subtract_numeric([2, 1, 2], [1, 2, 2]).tolist()
[1, -1, 0]

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`
`compatibility`	Additional compatible libraries
`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
`series_library`
`stack_on`
`stack_on_exclude`
`stack_on_self`
`uses_calc_time`
`uses_full_dataframe`