featuretools.primitives.Variance

class featuretools.primitives.Variance

Calculates the variance of a list of numbers.

Description:

Given a list of numbers, return the variance, using numpy’s built-in variance function. Nan values in a series will be ignored. Return nan when the series is empty or entirely null.

Examples

>>> variance = Variance()
>>> variance([0, 3, 4, 3])
2.25

Null values in a series will be ignored.

>>> variance = Variance()
>>> variance([0, 3, 4, 3, None])
2.25

__init__()

Methods

__init__()
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
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