featuretools.primitives.TotalWordLength

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

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 ]')

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