featuretools.primitives.Percentile#

class featuretools.primitives.Percentile[source]#

Determines the percentile rank for each value in a list.

Examples

>>> percentile = Percentile()
>>> percentile([10, 15, 1, 20]).tolist()
[0.5, 0.75, 0.25, 1.0]

Nan values are ignored when determining rank

>>> percentile([10, 15, 1, None, 20]).tolist()
[0.5, 0.75, 0.25, nan, 1.0]

Methods

`__init__`()
`flatten_nested_input_types`(input_types)	Flattens nested column schema inputs into a single list.
`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`
`compatibility`	Additional compatible libraries
`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
`series_library`
`stack_on`
`stack_on_exclude`
`stack_on_self`
`uses_calc_time`
`uses_full_dataframe`