featuretools.primitives.TotalWordLength#

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

Determines the total word length.

Description:

Given list of strings, determine the total word length in each string. A word is defined as a series of any characters not separated by a delimiter. If a string is empty or NaN, return NaN.

Parameters:

delimiters_regex (str) – Delimiters as a regex string for splitting text into words. Defaults to whitespace characters.

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)

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

uses_full_dataframe