featuretools.primitives.NumUnique#
- class featuretools.primitives.NumUnique(use_string_for_pd_calc=True)[source]#
确定不同值的数量,忽略 NaN 值.
- Parameters:
use_string_for_pd_calc (bool) – 确定是使用字符串 ‘nunique’ 还是函数 pd.Series.nunique 来进行原始计算.此参数的设置是为了 解决 bug https://github.com/pandas-dev/pandas/issues/57317. 默认使用字符串.
Examples
>>> num_unique = NumUnique(use_string_for_pd_calc=False) >>> num_unique(['red', 'blue', 'green', 'yellow']) 4
NaN 值将被忽略.
>>> num_unique(['red', 'blue', 'green', 'yellow', None]) 4
Methods
__init__([use_string_for_pd_calc])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_ofbase_of_excludecommutativedefault_valueDefault value this feature returns if no data found.
description_templateinput_typeswoodwork.ColumnSchema types of inputs
max_stack_depthnameName of the primitive
number_output_featuresNumber of columns in feature matrix associated with this feature
return_typeColumnSchema type of return
stack_onstack_on_excludestack_on_selfuses_calc_time