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]
__init__()#

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

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