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43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
from geoclustering.clustering import cluster_locations
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from geoclustering.io import read_csv_file
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from tests.helpers import get_fixture_path, read_fixture_csv
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df = read_fixture_csv("clustering.csv")
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def has_member(list, name):
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return any(x for x in list if x["name"] == name)
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def test_clustering_all():
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# there should be one cluster with all members but Erin.
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res = cluster_locations(
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df=df, algorithm="dbscan", radius_km=1.97, min_cluster_size=4
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)
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assert len(res.values()) == 1
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assert len(res[0]) == 4
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def test_clustering_split():
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res = cluster_locations(
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df=df, algorithm="dbscan", radius_km=0.5, min_cluster_size=2
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)
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# there should be two cluster: Alice & Bob and Carol & Dan
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assert len(res.values()) == 2
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cluster_one = res[0]
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cluster_two = res[1]
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assert len(cluster_one) == 2
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assert has_member(cluster_one, "Alice")
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assert has_member(cluster_one, "Bob")
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assert has_member(cluster_two, "Carol")
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assert has_member(cluster_two, "Dan")
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def test_clustering_none():
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# there should be no clusters now.
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res = cluster_locations(
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df=df, algorithm="dbscan", radius_km=0.5, min_cluster_size=3
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)
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assert len(res.values()) == 0
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