NOTICE

The upcoming release of Featuretools 1.0.0 contains several breaking changes. Users are encouraged to test this version prior to release by installing from GitHub:

pip install https://github.com/alteryx/featuretools/archive/woodwork-integration.zip

For details on migrating to the new version, refer to Transitioning to Featuretools Version 1.0. Please report any issues in the Featuretools GitHub repo or by messaging in Alteryx Open Source Slack.

featuretools.primitives.Haversine

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

Calculates the approximate haversine distance between two LatLong columns.

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)
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
default_value
description_template
input_types
max_stack_depth
name
number_output_features
return_type
uses_calc_time
uses_full_dataframe

featuretools.primitives.Longitude featuretools.feature_base.FeatureBase.rename