Beispiel #1
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def test_dict(method):
    value_dict = dataframe_to_dict(gdf, attr_str)
    cluster_object = PRegionsExact()
    cluster_object.fit_from_dict(neighbors_dict, value_dict, n_regions=2,
                                 method=method)
    result = region_list_from_array(cluster_object.labels_)
    compare_region_lists(result, optimal_clustering)
Beispiel #2
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def test_dict_multi_attr(method):
    cluster_object = PRegionsExact()
    cluster_object.fit_from_dict(neighbors_dict,
                                 double_attr_dict,
                                 n_regions=2,
                                 method=method)
    obtained = region_list_from_array(cluster_object.labels_)
    compare_region_lists(obtained, optimal_clustering)
Beispiel #3
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def test_dict(method):
    value_dict = dataframe_to_dict(gdf, attr_str)
    cluster_object = PRegionsExact()
    cluster_object.fit_from_dict(neighbors_dict,
                                 value_dict,
                                 n_regions=2,
                                 method=method)
    result = region_list_from_array(cluster_object.labels_)
    compare_region_lists(result, optimal_clustering)
Beispiel #4
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def test_dict_multi_attr(method):
    cluster_object = PRegionsExact()
    cluster_object.fit_from_dict(neighbors_dict, double_attr_dict, n_regions=2,
                                 method=method)
    obtained = region_list_from_array(cluster_object.labels_)
    compare_region_lists(obtained, optimal_clustering)