featuretools.primitives.Variance#

class featuretools.primitives.Variance[source]#

计算一组数字的方差.

Description:

给定一组数字,使用numpy的内置方差函数返回方差. 序列中的NaN值将被忽略.当序列为空或完全为空时,返回NaN.

Examples

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

序列中的空值将被忽略.

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

Methods

__init__()

flatten_nested_input_types(input_types)

将嵌套的列模式输入展平成一个列表.

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