featuretools.primitives.Age#

class featuretools.primitives.Age[source]#
Calculates the age in years as a floating point number given a

date of birth.

Description:

Age in years is computed by calculating the number of days between the date of birth and the reference time and dividing the result by 365.

Examples

Determine the age of three people as of Jan 1, 2019 >>> import pandas as pd >>> reference_date = pd.to_datetime(“01-01-2019”) >>> age = Age() >>> input_ages = [pd.to_datetime(“01-01-2000”), … pd.to_datetime(“05-30-1983”), … pd.to_datetime(“10-17-1997”)] >>> age(input_ages, time=reference_date).tolist() [19.013698630136986, 35.61643835616438, 21.221917808219178]

__init__()#

Methods

__init__()

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