featuretools.primitives.NMostCommon

class featuretools.primitives.NMostCommon(n=3)

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)

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