featuretools.primitives.IsLunchTime#

class featuretools.primitives.IsLunchTime(lunch_hour=12)[source]#

Determines if a datetime falls during configurable lunch hour, on a 24-hour clock.

Parameters:

lunch_hour (int) – Hour when lunch is taken. Must adhere to 24-hour clock. Defaults to 12.

Examples

>>> import numpy as np
>>> from datetime import datetime
>>> dates = [datetime(2022, 6, 21, 12, 3, 3),
...          datetime(2019, 1, 3, 4, 4, 4),
...          datetime(2022, 1, 1, 11, 1, 2),
...          np.nan]
>>> is_lunch_time = IsLunchTime()
>>> is_lunch_time(dates).tolist()
[True, False, False, False]
>>> is_lunch_time = IsLunchTime(11)
>>> is_lunch_time(dates).tolist()
[False, False, True, False]
__init__(lunch_hour=12)[source]#

Methods

__init__([lunch_hour])

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