featuretools.primitives.UpperCaseCount#

class featuretools.primitives.UpperCaseCount[source]#

计算文本中大写字母的数量.

Description:

给定一个字符串列表,确定每个字符串中大写字母的数量. 计数是针对每个字母单独进行的,而不仅仅是包含大写字母的每个单词.

如果字符串缺失,返回 NaN

Examples

>>> x = ['This IS a string.', 'This is a string', 'aaa']
>>> upper_case_count = UpperCaseCount()
>>> upper_case_count(x).tolist()
[3.0, 1.0, 0.0]

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`()
`process_text`(text)

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`