nlp_primitives.MeanCharactersPerWord

class nlp_primitives.MeanCharactersPerWord[source]

Determines the mean number of characters per word.

Description:

Given list of strings, determine the mean number of characters per word in each string. A word is defined as a series of any characters not separated by white space. Punctuation is removed before counting. If a string is empty or NaN, return NaN.

Examples

>>> x = ['This is a test file', 'This is second line', 'third line $1,000']
>>> mean_characters_per_word = MeanCharactersPerWord()
>>> mean_characters_per_word(x).tolist()
[3.0, 4.0, 5.0]
__init__()

Methods

__init__()

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

uses_calc_time

uses_full_dataframe