def test_geodataframe_multi_attr(): cluster_object = AZPReactiveTabu(max_iterations=max_it, k1=k1, k2=k2, random_state=0) cluster_object.fit_from_geodataframe(gdf, double_attr_str, n_regions=n_reg) obtained = region_list_from_array(cluster_object.labels_) compare_region_lists(obtained, optimal_clustering)
def test_geodataframe(): cluster_object = AZPReactiveTabu(max_iterations=max_it, k1=k1, k2=k2, random_state=0) cluster_object.fit_from_geodataframe(gdf, attr_str, n_regions=n_reg) result = region_list_from_array(cluster_object.labels_) compare_region_lists(result, optimal_clustering)
def test_geodataframe(): cluster_object = AZPReactiveTabu(max_iterations=max_it, k1=k1, k2=k2, random_state=0) cluster_object.fit_from_geodataframe(gdf, attr_str, n_regions=n_reg) result = region_list_from_array(cluster_object.labels_) compare_region_lists(result, optimal_clustering)