featuretools.primitives.Mean

class featuretools.primitives.Mean(skipna=True)[source]

Computes the average for a list of values.

Parameters

skipna (bool) – Determines if to use NA/null values. Defaults to True to skip NA/null.

Examples

>>> mean = Mean()
>>> mean([1, 2, 3, 4, 5, None])
3.0

We can also control the way NaN values are handled.

>>> mean = Mean(skipna=False)
>>> mean([1, 2, 3, 4, 5, None])
nan
__init__(skipna=True)[source]

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__([skipna])

Initialize self.

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

default_value

description_template

input_types

max_stack_depth

name

number_output_features

return_type

stack_on

stack_on_exclude

stack_on_self

uses_calc_time