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`([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`