featuretools.primitives.NumUnique

class featuretools.primitives.NumUnique(use_string_for_pd_calc=True)

Determines the number of distinct values, ignoring NaN values.

Parameters:

use_string_for_pd_calc (bool) – Determines if the string ‘nunique’ or the function pd.Series.nunique is used for making the primitive calculation. Put in place to account for the bug https://github.com/pandas-dev/pandas/issues/57317. Defaults to using the string.

Examples

>>> num_unique = NumUnique(use_string_for_pd_calc=False)
>>> num_unique(['red', 'blue', 'green', 'yellow'])
4

NaN values will be ignored.

>>> num_unique(['red', 'blue', 'green', 'yellow', None])
4

__init__(use_string_for_pd_calc=True)

Methods

__init__([use_string_for_pd_calc])
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