featuretools.primitives.MaxConsecutivePositives#

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

Determines the maximum number of consecutive positive values in the input

Parameters:

skipna (bool) – Ignore any NaN values in the input. Default is True.

Examples

>>> max_consecutive_positives = MaxConsecutivePositives()
>>> max_consecutive_positives([1.0, -1.4, 2.4, 5.4, 2.9, -4.3])
3

NaN values can be ignored with the skipna parameter

>>> max_consecutive_positives_skipna = MaxConsecutivePositives(skipna=False)
>>> max_consecutive_positives_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)

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

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