featuretools.primitives.AvgTimeBetween#

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

Computes the average number of seconds between consecutive events.

Description:

Given a list of datetimes, return the average time (default in seconds) elapsed between consecutive events. If there are fewer than 2 non-null values, return NaN.

Parameters:

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

Examples

>>> from datetime import datetime
>>> avg_time_between = AvgTimeBetween()
>>> times = [datetime(2010, 1, 1, 11, 45, 0),
...          datetime(2010, 1, 1, 11, 55, 15),
...          datetime(2010, 1, 1, 11, 57, 30)]
>>> avg_time_between(times)
375.0
>>> avg_time_between = AvgTimeBetween(unit="minutes")
>>> avg_time_between(times)
6.25
__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