featuretools.primitives.MaxConsecutivePositives

class featuretools.primitives.MaxConsecutivePositives(skipna=True)

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)

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
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