featuretools.primitives.DiffDatetime#

class featuretools.primitives.DiffDatetime(periods=0)[source]#

Computes the timedelta between a datetime in a list and the previous datetime in that list.

Parameters:

periods (int) – The number of periods by which to shift the index row. Default is 0. Periods correspond to rows.

Description:

Given a list of datetimes, compute the difference from the previous item in the list. The result for the first element of the list will always be NaT.

Examples

>>> from datetime import datetime
>>> dt_values = [datetime(2019, 3, 1), datetime(2019, 6, 30), datetime(2019, 11, 17), datetime(2020, 1, 30), datetime(2020, 3, 11)]
>>> diff_dt = DiffDatetime()
>>> diff_dt(dt_values).tolist()
[NaT, Timedelta('121 days 00:00:00'), Timedelta('140 days 00:00:00'), Timedelta('74 days 00:00:00'), Timedelta('41 days 00:00:00')]

You can specify the number of periods to shift the values

>>> diff_dt_periods = DiffDatetime(periods = 1)
>>> diff_dt_periods(dt_values).tolist()
[NaT, NaT, Timedelta('121 days 00:00:00'), Timedelta('140 days 00:00:00'), Timedelta('74 days 00:00:00')]
__init__(periods=0)[source]#

Methods

__init__([periods])

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