NOTICE

The upcoming release of Featuretools 1.0.0 contains several breaking changes. Users are encouraged to test this version prior to release by installing from GitHub:

pip install https://github.com/alteryx/featuretools/archive/woodwork-integration.zip

For details on migrating to the new version, refer to Transitioning to Featuretools Version 1.0. Please report any issues in the Featuretools GitHub repo or by messaging in Alteryx Open Source Slack.

featuretools.primitives.Mean

class featuretools.primitives.Mean(skipna=True)

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)

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

featuretools.primitives.Count featuretools.primitives.Sum