featuretools.primitives.NMostCommon#

class featuretools.primitives.NMostCommon(n=3)[source]#

Determines the n most common elements.

Description:

Given a list of values, return the n values which appear the most frequently. If there are fewer than n unique values, the output will be filled with NaN.

Parameters:

n (int) – defines “n” in “n most common.” Defaults to 3.

Examples

>>> n_most_common = NMostCommon(n=2)
>>> x = ['orange', 'apple', 'orange', 'apple', 'orange', 'grapefruit']
>>> n_most_common(x).tolist()
['orange', 'apple']
__init__(n=3)[source]#

Methods

__init__([n])

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