nlp_primitives.WhitespaceCount

class nlp_primitives.WhitespaceCount[source]

Calculates number of whitespaces in a string.

Description:

Given a list of strings, determine the whitespaces in each string If a string is missing, return NaN

Examples

>>> x = ['', 'hi im ethan', 'multiple    spaces']
>>> upper_case_count = WhitespaceCount()
>>> upper_case_count(x).tolist()
[0.0, 2.0, 4.0]
__init__()[source]

Methods

__init__()

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()

process_text(text)

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