featuretools.primitives.RateOfChange

class featuretools.primitives.RateOfChange

Computes the rate of change of a value per second.

Examples

>>> import pandas as pd
>>> rate_of_change = RateOfChange()
>>> times = pd.date_range(start='2019-01-01', freq='1min', periods=5)
>>> results = rate_of_change([0, 30, 180, -90, 0], times).tolist()
>>> results = [round(x, 2) for x in results]
>>> results
[nan, 0.5, 2.5, -4.5, 1.5]

__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