featuretools.primitives.DateToHoliday#

class featuretools.primitives.DateToHoliday(country='US')[source]#

Transforms time of an instance into the holiday name, if there is one.

Description:

If there is no holiday, it returns NaN. Currently only works for the United States and Canada with dates between 1950 and 2100.

Parameters:

country (str) – Country to use for determining Holidays. Default is ‘US’. Should be one of the available countries here: https://github.com/dr-prodigy/python-holidays#available-countries

Examples

>>> from datetime import datetime
>>> date_to_holiday = DateToHoliday()
>>> dates = pd.Series([datetime(2016, 1, 1),
...          datetime(2016, 2, 27),
...          datetime(2017, 5, 29, 10, 30, 5),
...          datetime(2018, 7, 4)])
>>> date_to_holiday(dates).tolist()
["New Year's Day", nan, 'Memorial Day', 'Independence Day']

We can also change the country.

>>> date_to_holiday_canada = DateToHoliday(country='Canada')
>>> dates = pd.Series([datetime(2016, 7, 1),
...          datetime(2016, 11, 15),
...          datetime(2018, 12, 25)])
>>> date_to_holiday_canada(dates).tolist()
['Canada Day', nan, 'Christmas Day']
__init__(country='US')[source]#

Methods

__init__([country])

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