featuretools.primitives.DiffDatetime

class featuretools.primitives.DiffDatetime(periods=0)

计算列表中一个日期时间与前一个日期时间之间的时间差.

Parameters:

periods (int) – 要移动索引行的周期数.默认值为0.周期对应于行.

Description:

给定一个日期时间列表,计算与列表中前一个元素的差值.列表的第一个元素的结果将始终为`NaT`.

Examples

>>> from datetime import datetime
>>> dt_values = [datetime(2019, 3, 1), datetime(2019, 6, 30), datetime(2019, 11, 17), datetime(2020, 1, 30), datetime(2020, 3, 11)]
>>> diff_dt = DiffDatetime()
>>> diff_dt(dt_values).tolist()
[NaT, Timedelta('121 days 00:00:00'), Timedelta('140 days 00:00:00'), Timedelta('74 days 00:00:00'), Timedelta('41 days 00:00:00')]

您可以指定要移动的周期数

>>> diff_dt_periods = DiffDatetime(periods = 1)
>>> diff_dt_periods(dt_values).tolist()
[NaT, NaT, Timedelta('121 days 00:00:00'), Timedelta('140 days 00:00:00'), Timedelta('74 days 00:00:00')]

__init__(periods=0)

Methods

__init__([periods])
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