featuretools.primitives.AvgTimeBetween

class featuretools.primitives.AvgTimeBetween(unit='seconds')

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')

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