featuretools.primitives.NumUniqueSeparators

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

计算唯一分隔符的数量.

Description:

给定一个字符串和一个分隔符列表,确定每个字符串中唯一分隔符的数量.如果字符串为空,由pd.isnull判断,返回pd.NA.

Parameters:

separators (list, 可选) – 用于计数的分隔符字符列表.默认使用``[” “, “.”, “,”, “!”, “?”, “;”, “n”]``.

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)	将嵌套的列模式输入展平成一个列表.
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