featuretools.primitives.PercentUnique

class featuretools.primitives.PercentUnique(skipna=True)

Determines the percent of unique values.

Description:

Given a list of values, determine what percent of the list is made up of unique values. Multiple NaN values are treated as one unique value.

Parameters:

skipna (bool) – Determines whether to ignore NaN values. Defaults to True.

Examples

>>> percent_unique = PercentUnique()
>>> percent_unique([1, 1, 2, 2, 3, 4, 5, 6, 7, 8])
0.8

We can control whether or not NaN values are ignored.

>>> percent_unique = PercentUnique()
>>> percent_unique([1, 1, 2, None])
0.5
>>> percent_unique_skipna = PercentUnique(skipna=False)
>>> percent_unique_skipna([1, 1, 2, None])
0.75

__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