featuretools.primitives.RateOfChange#

class featuretools.primitives.RateOfChange[source]#

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`
`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`