featuretools.primitives.Haversine

class featuretools.primitives.Haversine(unit='miles')

Calculates the approximate haversine distance between two LatLong variable types.

Parameters

unit (str) – Determines the unit value to output. Could be miles or kilometers. Default is miles.

Examples

>>> haversine = Haversine()
>>> distances = haversine([(42.4, -71.1), (40.0, -122.4)],
...                       [(40.0, -122.4), (41.2, -96.75)])
>>> np.round(distances, 3).tolist()
[2631.231, 1343.289]

Output units can be specified

>>> haversine_km = Haversine(unit='kilometers')
>>> distances_km = haversine_km([(42.4, -71.1), (40.0, -122.4)],
...                             [(40.0, -122.4), (41.2, -96.75)])
>>> np.round(distances_km, 3).tolist()
[4234.555, 2161.814]
__init__(unit='miles')

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__([unit])

Initialize self.

generate_name(base_feature_names)

get_args_string()

get_arguments()

get_filepath(filename)

get_function()

Attributes

allow_where

base_of

base_of_exclude

commutative

default_value

input_types

max_stack_depth

name

number_output_features

uses_calc_time

uses_full_entity