featuretools.primitives.NumConsecutiveLessMean#

class featuretools.primitives.NumConsecutiveLessMean(skipna=True)[source]#

确定小于均值的最长连续子序列的长度。

参数:: skipna (bool) – 如果为 False 且 x 中的任何值为 NaN，则结果将为 NaN。如果为 True，则跳过 NaN 值。默认为 True。

示例

>>> num_consecutive_less_mean = NumConsecutiveLessMean()
>>> num_consecutive_less_mean([1, 2, 3, 4, 5, 6])
3.0

我们还可以控制 NaN 值的处理方式。

>>> num_consecutive_less_mean = NumConsecutiveLessMean(skipna=False)
>>> num_consecutive_less_mean([1, 2, 3, 4, 5, 6, None])
nan

方法

`__init__`([skipna])
`flatten_nested_input_types`(input_types)	将嵌套的列模式输入展平为单个列表。
`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`()

属性