featuretools.primitives.PartOfDay

class featuretools.primitives.PartOfDay

Determines the part of day of a datetime.

Description:

For a list of datetimes, determines the part of day the datetime falls into, based on the hour. If the hour falls from 4 to 5, the part of day is ‘dawn’. If the hour falls from 6 to 7, the part of day is ‘early morning’. If the hour falls from 8 to 10, the part of day is ‘late morning’. If the hour falls from 11 to 13, the part of day is ‘noon’. If the hour falls from 14 to 16, the part of day is ‘afternoon’. If the hour falls from 17 to 19, the part of day is ‘evening’. If the hour falls from 20 to 22, the part of day is ‘night’. If the hour falls into 23, 24, or 1 to 3, the part of day is ‘midnight’.

Examples

>>> from datetime import datetime
>>> dates = [datetime(2020, 1, 11, 6, 2, 1),
...          datetime(2021, 3, 31, 4, 2, 1),
...          datetime(2020, 3, 4, 9, 2, 1)]
>>> part_of_day = PartOfDay()
>>> part_of_day(dates).tolist()
['early morning', 'dawn', 'late morning']

__init__()

Methods

__init__()
construct_replacement_dict()
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