featuretools.primitives.ModuloNumericScalar#

class featuretools.primitives.ModuloNumericScalar(value=1)[source]#

Computes the modulo of each element in the list by a given scalar.

Description:

Given a list of numeric values and a scalar, return the modulo, or remainder of each value after being divided by the scalar.

Examples

>>> modulo_numeric_scalar = ModuloNumericScalar(value=2)
>>> modulo_numeric_scalar([3, 1, 2]).tolist()
[1, 1, 0]
__init__(value=1)[source]#

Methods

__init__([value])

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