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
Methods
__init__
([skipna])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