featuretools.primitives.NumUnique#

class featuretools.primitives.NumUnique(use_string_for_pd_calc=True)[source]#

确定不同值的数量,忽略 NaN 值.

Parameters:

use_string_for_pd_calc (bool) – 确定是使用字符串 ‘nunique’ 还是函数 pd.Series.nunique 来进行原始计算.此参数的设置是为了 解决 bug https://github.com/pandas-dev/pandas/issues/57317. 默认使用字符串.

Examples

>>> num_unique = NumUnique(use_string_for_pd_calc=False)
>>> num_unique(['red', 'blue', 'green', 'yellow'])
4

NaN 值将被忽略.

>>> num_unique(['red', 'blue', 'green', 'yellow', None])
4
__init__(use_string_for_pd_calc=True)[source]#

Methods

__init__([use_string_for_pd_calc])

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