featuretools.primitives.TimeSinceLast#

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

Calculates the time elapsed since the last datetime (default in seconds).

Description:

Given a list of datetimes, calculate the time elapsed since the last datetime (default in seconds). Uses the instance’s cutoff time.

Parameters:

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

Examples

>>> from datetime import datetime
>>> time_since_last = TimeSinceLast()
>>> cutoff_time = datetime(2010, 1, 1, 12, 0, 0)
>>> times = [datetime(2010, 1, 1, 11, 45, 0),
...          datetime(2010, 1, 1, 11, 55, 15),
...          datetime(2010, 1, 1, 11, 57, 30)]
>>> time_since_last(times, time=cutoff_time)
150.0
>>> from datetime import datetime
>>> time_since_last = TimeSinceLast(unit = "minutes")
>>> cutoff_time = datetime(2010, 1, 1, 12, 0, 0)
>>> times = [datetime(2010, 1, 1, 11, 45, 0),
...          datetime(2010, 1, 1, 11, 55, 15),
...          datetime(2010, 1, 1, 11, 57, 30)]
>>> time_since_last(times, time=cutoff_time)
2.5
__init__(unit='seconds')[source]#

Methods

__init__([unit])

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([agg_type])

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