featuretools.primitives.TotalWordLength#

class featuretools.primitives.TotalWordLength(do_not_count='[!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~\n\t ]')[source]#

确定总字长.

Description:

给定字符串列表,确定每个字符串中的总字长. 单词定义为一系列不以分隔符分隔的任意字符. 如果字符串为空或`NaN`,则返回`NaN`.

Parameters:

delimiters_regex (str) – 用于将文本分割成单词的分隔符正则表达式字符串. 默认为空白字符.

Examples

>>> x = ['This is a test file', 'This is second line', 'third line $1,000', None]
>>> total_word_length = TotalWordLength()
>>> total_word_length(x).tolist()
[15.0, 16.0, 13.0, nan]
__init__(do_not_count='[!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~\n\t ]')[source]#

Methods

__init__([do_not_count])

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

uses_full_dataframe