featuretools.primitives.NumberOfWordsInQuotes#

class featuretools.primitives.NumberOfWordsInQuotes(quote_type='both')[source]#

Determines the number of words in quotes in a string.

Description:

Given a list of strings, determine the number of words in quotes in each string.

This implementation handles Unicode characters.

If a string is missing, return NaN.

Parameters:
  • quote_type (str, optional) – Specifies what type of quotation marks to match.

  • quotes (Argument "double" matches words between double) –

  • quotes

  • quotes. (Argument "both" matches words between either type of) –

  • "both". (Defaults to) –

Examples

>>> x = ['"python" java prolog "Diffie-Hellman" "4.99"', "Reach me at '[email protected]'", "'Here's an interesting example!'"]
>>> number_of_words_in_quotes = NumberOfWordsInQuotes()
>>> number_of_words_in_quotes(x).tolist()
[3, 1, 4]
__init__(quote_type='both')[source]#

Methods

__init__([quote_type])

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

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