featuretools.primitives.NumUniqueSeparators

class featuretools.primitives.NumUniqueSeparators(separators=[' ', '.', ',', '!', '?', ';', '\n'])

Calculates the number of unique separators.

Description:

Given a string and a list of separators, determine the number of unique separators in each string. If a string is null determined by pd.isnull return pd.NA.

Parameters:

separators (list, optional) – a list of separator characters to count. [" ", ".", ",", "!", "?", ";", "\n"] is used by default.

Examples

>>> x = ["First. Line.", "This. is the second, line!", "notinlist@#$%^%&"]
>>> num_unique_separators = NumUniqueSeparators([".", ",", "!"])
>>> num_unique_separators(x).tolist()
[1, 3, 0]

__init__(separators=[' ', '.', ',', '!', '?', ';', '\n'])

Methods

__init__([separators])
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