featuretools.primitives.MaxConsecutiveNegatives#

class featuretools.primitives.MaxConsecutiveNegatives(skipna=True)[source]#

确定输入中连续负值的最大数量

Parameters:

skipna (bool) – 忽略输入中的任何 NaN 值.默认为 True.

Examples

>>> max_consecutive_negatives = MaxConsecutiveNegatives()
>>> max_consecutive_negatives([1.0, -1.4, -2.4, -5.4, 2.9, -4.3])
3

可以使用 skipna 参数忽略 NaN 值

>>> max_consecutive_negatives_skipna = MaxConsecutiveNegatives(skipna=False)
>>> max_consecutive_negatives_skipna([1.0, 1.4, -2.4, None, -2.9, -4.3])
2
__init__(skipna=True)[source]#

Methods

__init__([skipna])

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