featuretools.primitives.TimeSincePrevious

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

计算列表中自上一个条目以来的时间.

Parameters:

unit (str) – 定义时间计量的单位. 默认为秒.可接受的值: 年、月、日、小时、分钟、秒、毫秒、纳秒

Description:

给定一个日期时间列表,计算自列表中前一个条目以来的时间（以秒为单位）. 列表中第一个条目的结果将始终为 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')

Methods

__init__([unit])
flatten_nested_input_types(input_types)	将嵌套的列模式输入展平成一个列表.
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