featuretools.primitives.TimeSince

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

Calculates time from a value to a specified cutoff datetime.

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 = TimeSince()
>>> times = [datetime(2019, 3, 1, 0, 0, 0, 1),
...          datetime(2019, 3, 1, 0, 0, 1, 0),
...          datetime(2019, 3, 1, 0, 2, 0, 0)]
>>> cutoff_time = datetime(2019, 3, 1, 0, 0, 0, 0)
>>> values = time_since(times, time=cutoff_time)
>>> list(map(int, values))
[0, -1, -120]

Change output to nanoseconds

>>> from datetime import datetime
>>> time_since_nano = TimeSince(unit='nanoseconds')
>>> times = [datetime(2019, 3, 1, 0, 0, 0, 1),
...          datetime(2019, 3, 1, 0, 0, 1, 0),
...          datetime(2019, 3, 1, 0, 2, 0, 0)]
>>> cutoff_time = datetime(2019, 3, 1, 0, 0, 0, 0)
>>> values = time_since_nano(times, time=cutoff_time)
>>> list(map(lambda x: int(round(x)), values))
[-1000, -1000000000, -120000000000]

__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()

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