featuretools.primitives.CountInsideRange

class featuretools.primitives.CountInsideRange(lower=0, upper=1, skipna=True)

Determines the number of values that fall within a certain range.

Parameters:

• lower (float) – Lower boundary of range (inclusive). Default is 0.

• upper (float) – Upper boundary of range (inclusive). Default is 1.

• skipna (bool) – If this is False any value in x is NaN then the result will be NaN. If True, nan values are skipped. Default is True.

Examples

>>> count_inside_range = CountInsideRange(lower=1.5, upper=3.6)
>>> count_inside_range([1, 2, 3, 4, 5])
2

The way NaNs are treated can be controlled.

>>> count_inside_range_skipna = CountInsideRange(skipna=False)
>>> count_inside_range_skipna([1, 2, 3, 4, 5, None])
nan

__init__(lower=0, upper=1, skipna=True)

Methods

__init__([lower, upper, 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