featuretools.primitives.MeanCharactersPerWord#

class featuretools.primitives.MeanCharactersPerWord[source]#

确定每个单词的平均字符数.

Description:: 给定字符串列表,确定每个字符串中每个单词的平均字符数. 单词定义为一系列不以空白分隔的任意字符. 在计数前会去除标点符号.如果字符串为空或为`NaN`,则返回`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__`()
`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`