NOTICE

The upcoming release of Featuretools 1.0.0 contains several breaking changes. Users are encouraged to test this version prior to release:

pip install featuretools==1.0.0rc1

For details on migrating to the new version, refer to Transitioning to Featuretools Version 1.0. Please report any issues in the Featuretools GitHub repo or by messaging in Alteryx Open Source Slack.


featuretools.primitives.TimeSincePrevious

class featuretools.primitives.TimeSincePrevious(unit='seconds')[source]

Compute the time since the previous entry in a list.

Parameters

unit (str) – Defines the unit of time to count from. Defaults to Seconds. Acceptable values: years, months, days, hours, minutes, seconds, milliseconds, nanoseconds

Description:

Given a list of datetimes, compute the time in seconds elapsed since the previous item in the list. The result for the first item in the list will always be NaN.

Examples

>>> from datetime import datetime
>>> time_since_previous = TimeSincePrevious()
>>> dates = [datetime(2019, 3, 1, 0, 0, 0),
...          datetime(2019, 3, 1, 0, 2, 0),
...          datetime(2019, 3, 1, 0, 3, 0),
...          datetime(2019, 3, 1, 0, 2, 30),
...          datetime(2019, 3, 1, 0, 10, 0)]
>>> time_since_previous(dates).tolist()
[nan, 120.0, 60.0, -30.0, 450.0]
__init__(unit='seconds')[source]

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__([unit])

Initialize self.

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

default_value

description_template

input_types

max_stack_depth

name

number_output_features

uses_calc_time

uses_full_entity