Source code for featuretools.primitives.standard.transform.datetime.age

from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import AgeFractional, Datetime

from featuretools.primitives.base import TransformPrimitive
from featuretools.utils.gen_utils import Library

[docs]class Age(TransformPrimitive): """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] """ name = "age" input_types = [ColumnSchema(logical_type=Datetime, semantic_tags={"date_of_birth"})] return_type = ColumnSchema(logical_type=AgeFractional, semantic_tags={"numeric"}) uses_calc_time = True compatibility = [Library.PANDAS, Library.DASK] description_template = "the age from {}" def get_function(self): def age(x, time=None): return (time - x).dt.days / 365 return age