featuretools.primitives.NumUnique#

class featuretools.primitives.NumUnique(use_string_for_pd_calc=True)[source]#

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)[source]#

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([agg_type])

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